Trait: body mass index

Experimental Factor Ontology (EFO) Information
Identifier EFO_0004340
Description An indicator of body density as determined by the relationship of BODY WEIGHT to BODY HEIGHT. BMI=weight (kg)/height squared (m2). BMI correlates with body fat (ADIPOSE TISSUE). Their relationship varies with age and gender. For adults, BMI falls into these categories: below 18.5 (underweight); 18.5-24.9 (normal); 25.0-29.9 (overweight); 30.0 and above (obese). (National Center for Health Statistics, Centers for Disease Control and Prevention)
Trait category
Body measurement
Synonyms 2 synonyms
  • BMI
  • Quetelet's Index
Mapped terms 5 mapped terms
  • ICD9:V85-V85.99
  • MeSH:D015992
  • MedDRA:10005894
  • NCIt:C16358
  • SNOMEDCT:60621009
Child trait(s) overweight body mass index status

Associated Polygenic Score(s)

Filter PGS by Participant Ancestry
Individuals included in:
G - Source of Variant Associations (GWAS)
D - Score Development/Training
E - PGS Evaluation
List of ancestries includes:
Display options:
Ancestry legend
Multi-ancestry (including European)
Multi-ancestry (excluding European)
African
East Asian
South Asian
Additional Asian Ancestries
European
Greater Middle Eastern
Hispanic or Latin American
Additional Diverse Ancestries
Not Reported
Note: This table shows all PGS for "body mass index" and any child terms of this trait in the EFO hierarchy by default.
Polygenic Score ID & Name PGS Publication ID (PGP) Reported Trait Mapped Trait(s) (Ontology) Number of Variants Ancestry distribution Scoring File (FTP Link)
PGS000027
(GPS_BMI)
PGP000017 |
Khera AV et al. Cell (2019)
Body mass index (BMI) body mass index 2,100,302
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000027/ScoringFiles/PGS000027.txt.gz - Check Terms/Licenses
PGS000034
(GRS_BMI)
PGP000021 |
Song M et al. Diabetes (2017)
Adult body mass index (BMI) body mass index 97
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000034/ScoringFiles/PGS000034.txt.gz
PGS000298
(GRS941_BMI)
PGP000092 |
Xie T et al. Circ Genom Precis Med (2020)
Body mass index (BMI) body mass index 941
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000298/ScoringFiles/PGS000298.txt.gz
PGS000320
(PRS_BMI)
PGP000096 |
Chami N et al. PLoS Med (2020)
Body mass index (BMI) body mass index 263,640
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000320/ScoringFiles/PGS000320.txt.gz
PGS000716
(PGS295_elbs)
PGP000132 |
Richardson TG et al. BMJ (2020)
Early life body size body mass index,
comparative body size at age 10, self-reported
295
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000716/ScoringFiles/PGS000716.txt.gz
PGS000717
(PGS557_albs)
PGP000132 |
Richardson TG et al. BMJ (2020)
Adult life body size body mass index 557
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000717/ScoringFiles/PGS000717.txt.gz
PGS000770
(PRS231)
PGP000177 |
de Toro-Martín J et al. Front Genet (2019)
Body mass index (BMI) body mass index 231
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000770/ScoringFiles/PGS000770.txt.gz
PGS000829
(BMI_PGS_M)
PGP000210 |
Zubair N et al. Sci Rep (2019)
Body mass index (BMI) (male) body mass index,
male
290
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000829/ScoringFiles/PGS000829.txt.gz - Check Terms/Licenses
PGS000830
(BMI_PGS_F)
PGP000210 |
Zubair N et al. Sci Rep (2019)
Body mass index (BMI) (female) body mass index,
female
372
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000830/ScoringFiles/PGS000830.txt.gz - Check Terms/Licenses
PGS000841
(BMI)
PGP000211 |
Aly DM et al. Nat Genet (2021)
Body mass index (BMI) body mass index 122
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000841/ScoringFiles/PGS000841.txt.gz
PGS000910
(PRS_BMI)
PGP000238 |
Campos AI et al. Commun Med (Lond) (2021)
Body mass index (BMI) body mass index 735,440
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000910/ScoringFiles/PGS000910.txt.gz
PGS000921
(PRS_BMI)
PGP000243 |
Borisevich D et al. PLoS One (2021)
Body mass index (BMI) body mass index 1,947,711
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000921/ScoringFiles/PGS000921.txt.gz
PGS001228
(GBE_INI21001)
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Body mass index (BMI) body mass index 27,126
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001228/ScoringFiles/PGS001228.txt.gz
PGS001825
(portability-PLR_278)
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Overweight, obesity and other hyperalimentation obesity,
overweight body mass index status,
overnutrition
13,009
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001825/ScoringFiles/PGS001825.txt.gz
PGS001943
(portability-PLR_log_BMI)
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Body mass index (BMI) body mass index 110,153
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001943/ScoringFiles/PGS001943.txt.gz
PGS002033
(portability-ldpred2_278)
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Overweight, obesity and other hyperalimentation obesity,
overweight body mass index status,
overnutrition
846,292
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002033/ScoringFiles/PGS002033.txt.gz
PGS002161
(portability-ldpred2_log_BMI)
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Body mass index (BMI) body mass index 990,022
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002161/ScoringFiles/PGS002161.txt.gz
PGS002251
(PRS97_BMI)
PGP000278 |
Dashti HS et al. BMC Med (2022)
Body mass index (BMI) body mass index 97
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002251/ScoringFiles/PGS002251.txt.gz
PGS002313
(body_BMIz.BOLT-LMM)
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Body mass index (BMI) body mass index 1,109,311
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002313/ScoringFiles/PGS002313.txt.gz
PGS002360
(body_BMIz.BOLT-LMM-BBJ)
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Body mass index (BMI) body mass index 920,920
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002360/ScoringFiles/PGS002360.txt.gz
PGS002385
(body_BMIz.P+T.0.0001)
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Body mass index (BMI) body mass index 15,518
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002385/ScoringFiles/PGS002385.txt.gz
PGS002434
(body_BMIz.P+T.0.001)
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Body mass index (BMI) body mass index 41,662
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002434/ScoringFiles/PGS002434.txt.gz
PGS002483
(body_BMIz.P+T.0.01)
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Body mass index (BMI) body mass index 162,598
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002483/ScoringFiles/PGS002483.txt.gz
PGS002532
(body_BMIz.P+T.1e-06)
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Body mass index (BMI) body mass index 4,284
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002532/ScoringFiles/PGS002532.txt.gz
PGS002581
(body_BMIz.P+T.5e-08)
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Body mass index (BMI) body mass index 2,385
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002581/ScoringFiles/PGS002581.txt.gz
PGS002630
(body_BMIz.PolyFun-pred)
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Body mass index (BMI) body mass index 620,484
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002630/ScoringFiles/PGS002630.txt.gz
PGS002679
(body_BMIz.SBayesR)
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Body mass index (BMI) body mass index 987,879
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002679/ScoringFiles/PGS002679.txt.gz
PGS002751
(GRSrare)
PGP000363 |
Sapkota Y et al. Nat Med (2022)
Body mass index (BMI) body mass index 14
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002751/ScoringFiles/PGS002751.txt.gz
PGS002840
(ExPRSweb_BMI_21001-irnt_LASSOSUM_MGI_20211120)
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Body mass index (BMI) body mass index 1,062,550
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002840/ScoringFiles/PGS002840.txt.gz
PGS002841
(ExPRSweb_BMI_21001-irnt_PT_MGI_20211120)
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Body mass index (BMI) body mass index 32,980
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002841/ScoringFiles/PGS002841.txt.gz
PGS002842
(ExPRSweb_BMI_21001-irnt_PLINK_MGI_20211120)
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Body mass index (BMI) body mass index 51,983
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002842/ScoringFiles/PGS002842.txt.gz
PGS002843
(ExPRSweb_BMI_21001-irnt_DBSLMM_MGI_20211120)
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Body mass index (BMI) body mass index 7,444,639
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002843/ScoringFiles/PGS002843.txt.gz
PGS002844
(ExPRSweb_BMI_21001-irnt_PRSCS_MGI_20211120)
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Body mass index (BMI) body mass index 1,113,832
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002844/ScoringFiles/PGS002844.txt.gz
PGS002845
(ExPRSweb_BMI_21001-raw_LASSOSUM_MGI_20211120)
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Body mass index (BMI) body mass index 1,052,511
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002845/ScoringFiles/PGS002845.txt.gz
PGS002846
(ExPRSweb_BMI_21001-raw_PT_MGI_20211120)
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Body mass index (BMI) body mass index 32,526
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002846/ScoringFiles/PGS002846.txt.gz
PGS002847
(ExPRSweb_BMI_21001-raw_PLINK_MGI_20211120)
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Body mass index (BMI) body mass index 51,370
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002847/ScoringFiles/PGS002847.txt.gz
PGS002848
(ExPRSweb_BMI_21001-raw_DBSLMM_MGI_20211120)
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Body mass index (BMI) body mass index 7,444,629
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002848/ScoringFiles/PGS002848.txt.gz
PGS002849
(ExPRSweb_BMI_21001-raw_PRSCS_MGI_20211120)
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Body mass index (BMI) body mass index 1,113,832
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002849/ScoringFiles/PGS002849.txt.gz
PGS002850
(ExPRSweb_BMI_23104-irnt_LASSOSUM_MGI_20211120)
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Body mass index (BMI) body mass index 1,053,861
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002850/ScoringFiles/PGS002850.txt.gz
PGS002851
(ExPRSweb_BMI_23104-irnt_PT_MGI_20211120)
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Body mass index (BMI) body mass index 32,697
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002851/ScoringFiles/PGS002851.txt.gz
PGS002852
(ExPRSweb_BMI_23104-irnt_PLINK_MGI_20211120)
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Body mass index (BMI) body mass index 51,563
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002852/ScoringFiles/PGS002852.txt.gz
PGS002853
(ExPRSweb_BMI_23104-irnt_DBSLMM_MGI_20211120)
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Body mass index (BMI) body mass index 7,446,664
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002853/ScoringFiles/PGS002853.txt.gz
PGS002854
(ExPRSweb_BMI_23104-irnt_PRSCS_MGI_20211120)
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Body mass index (BMI) body mass index 1,113,832
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002854/ScoringFiles/PGS002854.txt.gz
PGS002855
(ExPRSweb_BMI_23104-raw_LASSOSUM_MGI_20211120)
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Body mass index (BMI) body mass index 1,044,654
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002855/ScoringFiles/PGS002855.txt.gz
PGS002856
(ExPRSweb_BMI_23104-raw_PT_MGI_20211120)
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Body mass index (BMI) body mass index 28,689
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002856/ScoringFiles/PGS002856.txt.gz
PGS002857
(ExPRSweb_BMI_23104-raw_PLINK_MGI_20211120)
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Body mass index (BMI) body mass index 44,240
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002857/ScoringFiles/PGS002857.txt.gz
PGS002858
(ExPRSweb_BMI_23104-raw_DBSLMM_MGI_20211120)
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Body mass index (BMI) body mass index 7,446,652
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002858/ScoringFiles/PGS002858.txt.gz
PGS002859
(ExPRSweb_BMI_23104-raw_PRSCS_MGI_20211120)
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Body mass index (BMI) body mass index 1,113,832
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002859/ScoringFiles/PGS002859.txt.gz
PGS003124
(ExPRSweb_Thinness_STILTS-UKHLS_LASSOSUM_MGI_20211120)
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Thinness body mass index 224,595
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003124/ScoringFiles/PGS003124.txt.gz
PGS003125
(ExPRSweb_Thinness_STILTS-UKHLS_PT_MGI_20211120)
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Thinness body mass index 256
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003125/ScoringFiles/PGS003125.txt.gz
PGS003126
(ExPRSweb_Thinness_STILTS-UKHLS_PLINK_MGI_20211120)
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Thinness body mass index 351
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003126/ScoringFiles/PGS003126.txt.gz
PGS003127
(ExPRSweb_Thinness_STILTS-UKHLS_DBSLMM_MGI_20211120)
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Thinness body mass index 344,981
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003127/ScoringFiles/PGS003127.txt.gz
PGS003128
(ExPRSweb_Thinness_STILTS-UKHLS_PRSCS_MGI_20211120)
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Thinness body mass index 1,116,425
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003128/ScoringFiles/PGS003128.txt.gz
PGS003129
(ExPRSweb_Thinness_STILTS-UKHLS_LASSOSUM_UKB_20211120)
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Thinness body mass index 281,336
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003129/ScoringFiles/PGS003129.txt.gz
PGS003130
(ExPRSweb_Thinness_STILTS-UKHLS_PT_UKB_20211120)
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Thinness body mass index 4,280
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003130/ScoringFiles/PGS003130.txt.gz
PGS003131
(ExPRSweb_Thinness_STILTS-UKHLS_PLINK_UKB_20211120)
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Thinness body mass index 5,164
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003131/ScoringFiles/PGS003131.txt.gz
PGS003132
(ExPRSweb_Thinness_STILTS-UKHLS_DBSLMM_UKB_20211120)
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Thinness body mass index 41,698
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003132/ScoringFiles/PGS003132.txt.gz
PGS003133
(ExPRSweb_Thinness_STILTS-UKHLS_PRSCS_UKB_20211120)
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Thinness body mass index 1,117,469
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003133/ScoringFiles/PGS003133.txt.gz
PGS003462
(LDPred2_BMI)
PGP000456 |
Zhang Y et al. EBioMedicine (2022)
Body mass index (BMI) body mass index 749,106
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003462/ScoringFiles/PGS003462.txt.gz
PGS003525
(cont-decay-log_BMI)
PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre
Body mass index (BMI) body mass index 979,739
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003525/ScoringFiles/PGS003525.txt.gz
PGS003842
(bmi_EUR_CT)
PGP000489 |
Zhang H et al. Nat Genet (2023)
Body mass index (BMI) body mass index 145,046
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003842/ScoringFiles/PGS003842.txt.gz
PGS003843
(bmi_EUR_LDpred2)
PGP000489 |
Zhang H et al. Nat Genet (2023)
Body mass index (BMI) body mass index 564,332
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003843/ScoringFiles/PGS003843.txt.gz
PGS003844
(bmi_AFR_CT)
PGP000489 |
Zhang H et al. Nat Genet (2023)
Body mass index (BMI) body mass index 87
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003844/ScoringFiles/PGS003844.txt.gz
PGS003845
(bmi_AFR_LDpred2)
PGP000489 |
Zhang H et al. Nat Genet (2023)
Body mass index (BMI) body mass index 752,209
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003845/ScoringFiles/PGS003845.txt.gz
PGS003846
(bmi_AFR_weighted_LDpred2)
PGP000489 |
Zhang H et al. Nat Genet (2023)
Body mass index (BMI) body mass index 817,189
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003846/ScoringFiles/PGS003846.txt.gz
PGS003847
(bmi_AFR_PRSCSx)
PGP000489 |
Zhang H et al. Nat Genet (2023)
Body mass index (BMI) body mass index 300,864
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003847/ScoringFiles/PGS003847.txt.gz
PGS003848
(bmi_AFR_CTSLEB)
PGP000489 |
Zhang H et al. Nat Genet (2023)
Body mass index (BMI) body mass index 741,723
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003848/ScoringFiles/PGS003848.txt.gz
PGS003884
(BMI_PRScsx_ARB_AMRweights)
PGP000501 |
Shim I et al. Nature Communications (2023)
Body mass index (BMI) body mass index 1,067,771
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003884/ScoringFiles/PGS003884.txt.gz
PGS003885
(BMI_PRScsx_ARB_ARBweights)
PGP000501 |
Shim I et al. Nature Communications (2023)
Body mass index (BMI) body mass index 882,001
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003885/ScoringFiles/PGS003885.txt.gz
PGS003886
(BMI_PRScsx_ARB_EASweights)
PGP000501 |
Shim I et al. Nature Communications (2023)
Body mass index (BMI) body mass index 941,406
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003886/ScoringFiles/PGS003886.txt.gz
PGS003887
(BMI_PRScsx_ARB_EURweights)
PGP000501 |
Shim I et al. Nature Communications (2023)
Body mass index (BMI) body mass index 922,653
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003887/ScoringFiles/PGS003887.txt.gz
PGS003897
(INI21001)
PGP000502 |
Tanigawa Y et al. AJHG (2023)
Body mass index (BMI) body mass index 35,941
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003897/ScoringFiles/PGS003897.txt.gz
PGS003980
(dbslmm.auto.GCST002783.BMI)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Body mass index (BMI) body mass index 1,039,020
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003980/ScoringFiles/PGS003980.txt.gz
PGS003996
(lassosum.auto.GCST002783.BMI)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Body mass index (BMI) body mass index 16,785
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003996/ScoringFiles/PGS003996.txt.gz
PGS004012
(lassosum.CV.GCST002783.BMI)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Body mass index (BMI) body mass index 437,695
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004012/ScoringFiles/PGS004012.txt.gz
PGS004022
(ldpred2.auto.GCST002783.BMI)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Body mass index (BMI) body mass index 919,377
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004022/ScoringFiles/PGS004022.txt.gz
PGS004037
(ldpred2.CV.GCST002783.BMI)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Body mass index (BMI) body mass index 919,377
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004037/ScoringFiles/PGS004037.txt.gz
PGS004050
(megaprs.auto.GCST002783.BMI)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Body mass index (BMI) body mass index 609,706
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004050/ScoringFiles/PGS004050.txt.gz
PGS004066
(megaprs.CV.GCST002783.BMI)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Body mass index (BMI) body mass index 602,445
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004066/ScoringFiles/PGS004066.txt.gz
PGS004080
(prscs.auto.GCST002783.BMI)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Body mass index (BMI) body mass index 1,011,571
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004080/ScoringFiles/PGS004080.txt.gz
PGS004096
(prscs.CV.GCST002783.BMI)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Body mass index (BMI) body mass index 1,011,571
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004096/ScoringFiles/PGS004096.txt.gz
PGS004104
(pt_clump.auto.GCST002783.BMI)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Body mass index (BMI) body mass index 83
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004104/ScoringFiles/PGS004104.txt.gz
PGS004120
(pt_clump_nested.CV.GCST002783.BMI)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Body mass index (BMI) body mass index 23,190
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004120/ScoringFiles/PGS004120.txt.gz
PGS004134
(sbayesr.auto.GCST002783.BMI)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Body mass index (BMI) body mass index 782,021
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004134/ScoringFiles/PGS004134.txt.gz
PGS004150
(UKBB_EnsPGS.GCST002783.BMI)
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Body mass index (BMI) body mass index 1,039,042
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004150/ScoringFiles/PGS004150.txt.gz
PGS004216
(bmi_1)
PGP000520 |
Raben TG et al. Sci Rep (2023)
Body mass index body mass index 24,059
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004216/ScoringFiles/PGS004216.txt.gz
PGS004217
(bmi_2)
PGP000520 |
Raben TG et al. Sci Rep (2023)
Body mass index body mass index 24,706
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004217/ScoringFiles/PGS004217.txt.gz
PGS004218
(bmi_3)
PGP000520 |
Raben TG et al. Sci Rep (2023)
Body mass index body mass index 22,176
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004218/ScoringFiles/PGS004218.txt.gz
PGS004219
(bmi_4)
PGP000520 |
Raben TG et al. Sci Rep (2023)
Body mass index body mass index 25,971
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004219/ScoringFiles/PGS004219.txt.gz
PGS004220
(bmi_5)
PGP000520 |
Raben TG et al. Sci Rep (2023)
Body mass index body mass index 24,026
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004220/ScoringFiles/PGS004220.txt.gz
PGS004319
(GRS103_BMI)
PGP000549 |
Fernández-Rhodes L et al. Psychosom Med (2023)
Body mass index body mass index 103
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004319/ScoringFiles/PGS004319.txt.gz
PGS004378
(X23104.score)
PGP000561 |
Jung H et al. Commun Biol (2024)
Body mass index (BMI) body mass index 1,059,939
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004378/ScoringFiles/PGS004378.txt.gz
PGS004409
(X21001.score)
PGP000561 |
Jung H et al. Commun Biol (2024)
Body mass index (BMI) body mass index 1,059,939
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004409/ScoringFiles/PGS004409.txt.gz
PGS004609
(adult_BMI)
PGP000585 |
Hawkes G et al. Diabetologia (2023)
Body mass index (BMI) body mass index 1,127
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004609/ScoringFiles/PGS004609.txt.gz
PGS004610
(child_BMI)
PGP000585 |
Hawkes G et al. Diabetologia (2023)
Body mass index (BMI) body mass index 306
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004610/ScoringFiles/PGS004610.txt.gz

Performance Metrics

Disclaimer: The performance metrics are displayed as reported by the source studies. It is important to note that metrics are not necessarily comparable with each other. For example, metrics depend on the sample characteristics (described by the PGS Catalog Sample Set [PSS] ID), phenotyping, and statistical modelling. Please refer to the source publication for additional guidance on performance.

PGS Performance
Metric ID (PPM)
Evaluated Score PGS Sample Set ID
(PSS)
Performance Source Trait PGS Effect Sizes
(per SD change)
Classification Metrics Other Metrics Covariates Included in the Model PGS Performance:
Other Relevant Information
PPM001708 PGS000716
(PGS295_elbs)
PSS000883|
European Ancestry|
62,541 individuals
PGP000140 |
Brandkvist M et al. Hum Mol Genet (2020)
|Ext.
Reported Trait: Obesity in individuals aged 30-69.9 AUROC: 0.569 [0.564, 0.574] Due to a lack of information in the HUNT dataset, only 277 of the 295 common variants used to build the childhood score by Richardson et al were included.
PPM001709 PGS000716
(PGS295_elbs)
PSS000876|
European Ancestry|
3,124 individuals
PGP000140 |
Brandkvist M et al. Hum Mol Genet (2020)
|Ext.
Reported Trait: Overweight in individuals aged 12-15.9 AUROC: 0.656 [0.626, 0.686] Due to a lack of information in the HUNT dataset, only 277 of the 295 common variants used to build the childhood score by Richardson et al were included.
PPM001710 PGS000716
(PGS295_elbs)
PSS000878|
European Ancestry|
2,896 individuals
PGP000140 |
Brandkvist M et al. Hum Mol Genet (2020)
|Ext.
Reported Trait: Overweight in individuals aged 16-17.9 AUROC: 0.623 [0.589, 0.657] Due to a lack of information in the HUNT dataset, only 277 of the 295 common variants used to build the childhood score by Richardson et al were included.
PPM001711 PGS000716
(PGS295_elbs)
PSS000880|
European Ancestry|
12,179 individuals
PGP000140 |
Brandkvist M et al. Hum Mol Genet (2020)
|Ext.
Reported Trait: Overweight in individuals aged 18-23.9 AUROC: 0.601 [0.589, 0.612] Due to a lack of information in the HUNT dataset, only 277 of the 295 common variants used to build the childhood score by Richardson et al were included.
PPM001712 PGS000716
(PGS295_elbs)
PSS000882|
European Ancestry|
17,139 individuals
PGP000140 |
Brandkvist M et al. Hum Mol Genet (2020)
|Ext.
Reported Trait: Overweight in individuals aged 14-29.9 AUROC: 0.591 [0.582, 0.6] Due to a lack of information in the HUNT dataset, only 277 of the 295 common variants used to build the childhood score by Richardson et al were included.
PPM001713 PGS000716
(PGS295_elbs)
PSS000884|
European Ancestry|
62,541 individuals
PGP000140 |
Brandkvist M et al. Hum Mol Genet (2020)
|Ext.
Reported Trait: Overweight in individuals aged 30-69.9 AUROC: 0.568 [0.563, 0.573] Due to a lack of information in the HUNT dataset, only 277 of the 295 common variants used to build the childhood score by Richardson et al were included.
PPM001714 PGS000717
(PGS557_albs)
PSS000875|
European Ancestry|
3,124 individuals
PGP000140 |
Brandkvist M et al. Hum Mol Genet (2020)
|Ext.
Reported Trait: Obesity in individuals aged 12-15.9 AUROC: 0.664 [0.574, 0.753] Due to a lack of information in the HUNT dataset, only 509 of the 557 common variants used to build the adult score by Richardson et al were included.
PPM001715 PGS000717
(PGS557_albs)
PSS000877|
European Ancestry|
2,896 individuals
PGP000140 |
Brandkvist M et al. Hum Mol Genet (2020)
|Ext.
Reported Trait: Obesity in individuals aged 16-17.9 AUROC: 0.691 [0.589, 0.793] Due to a lack of information in the HUNT dataset, only 509 of the 557 common variants used to build the adult score by Richardson et al were included.
PPM001716 PGS000717
(PGS557_albs)
PSS000879|
European Ancestry|
12,179 individuals
PGP000140 |
Brandkvist M et al. Hum Mol Genet (2020)
|Ext.
Reported Trait: Obesity in individuals aged 18-23.9 AUROC: 0.624 [0.601, 0.646] Due to a lack of information in the HUNT dataset, only 509 of the 557 common variants used to build the adult score by Richardson et al were included.
PPM000054 PGS000027
(GPS_BMI)
PSS000037|
European Ancestry|
288,016 individuals
PGP000017 |
Khera AV et al. Cell (2019)
Reported Trait: Body mass index β: 1.41 : 0.08526 First 10 genetic PCs Beta is in units of kg/m^2
PPM001717 PGS000717
(PGS557_albs)
PSS000881|
European Ancestry|
17,139 individuals
PGP000140 |
Brandkvist M et al. Hum Mol Genet (2020)
|Ext.
Reported Trait: Obesity in individuals aged 24-29.9 AUROC: 0.623 [0.607, 0.639] Due to a lack of information in the HUNT dataset, only 509 of the 557 common variants used to build the adult score by Richardson et al were included.
PPM001719 PGS000717
(PGS557_albs)
PSS000876|
European Ancestry|
3,124 individuals
PGP000140 |
Brandkvist M et al. Hum Mol Genet (2020)
|Ext.
Reported Trait: Overweight in individuals aged 12-15.9 AUROC: 0.587 [0.556, 0.618] Due to a lack of information in the HUNT dataset, only 509 of the 557 common variants used to build the adult score by Richardson et al were included.
PPM001720 PGS000717
(PGS557_albs)
PSS000878|
European Ancestry|
2,896 individuals
PGP000140 |
Brandkvist M et al. Hum Mol Genet (2020)
|Ext.
Reported Trait: Overweight in individuals aged 16-17.9 AUROC: 0.615 [0.58, 0.649] Due to a lack of information in the HUNT dataset, only 509 of the 557 common variants used to build the adult score by Richardson et al were included.
PPM000791 PGS000298
(GRS941_BMI)
PSS000369|
European Ancestry|
334 individuals
PGP000092 |
Xie T et al. Circ Genom Precis Med (2020)
Reported Trait: Body mass index (kg/m2) : 0.0671 Sex, age
PPM000792 PGS000298
(GRS941_BMI)
PSS000370|
European Ancestry|
329 individuals
PGP000092 |
Xie T et al. Circ Genom Precis Med (2020)
Reported Trait: Body mass index (kg/m2) : 0.057 Sex, age
PPM000793 PGS000298
(GRS941_BMI)
PSS000371|
European Ancestry|
288 individuals
PGP000092 |
Xie T et al. Circ Genom Precis Med (2020)
Reported Trait: Body mass index (kg/m2) : 0.0886 Sex, age
PPM000794 PGS000298
(GRS941_BMI)
PSS000372|
European Ancestry|
265 individuals
PGP000092 |
Xie T et al. Circ Genom Precis Med (2020)
Reported Trait: Body mass index (kg/m2) : 0.092 Sex, age
PPM000795 PGS000298
(GRS941_BMI)
PSS000373|
European Ancestry|
245 individuals
PGP000092 |
Xie T et al. Circ Genom Precis Med (2020)
Reported Trait: Body mass index (kg/m2) : 0.1194 Sex, age
PPM001722 PGS000717
(PGS557_albs)
PSS000882|
European Ancestry|
17,139 individuals
PGP000140 |
Brandkvist M et al. Hum Mol Genet (2020)
|Ext.
Reported Trait: Overweight in individuals aged 14-29.9 AUROC: 0.598 [0.589, 0.607] Due to a lack of information in the HUNT dataset, only 509 of the 557 common variants used to build the adult score by Richardson et al were included.
PPM001723 PGS000717
(PGS557_albs)
PSS000884|
European Ancestry|
62,541 individuals
PGP000140 |
Brandkvist M et al. Hum Mol Genet (2020)
|Ext.
Reported Trait: Overweight in individuals aged 30-69.9 AUROC: 0.582 [0.578, 0.587] Due to a lack of information in the HUNT dataset, only 509 of the 557 common variants used to build the adult score by Richardson et al were included.
PPM000072 PGS000034
(GRS_BMI)
PSS000050|
European Ancestry|
5,640 individuals
PGP000021 |
Song M et al. Diabetes (2017)
Reported Trait: mean BMI difference β (per 10-allele increment): 0.17 [0.03, 0.31]
PPM001725 PGS000027
(GPS_BMI)
PSS000885|
European Ancestry|
19,588 individuals
PGP000141 |
Brandkvist M et al. PLoS Med (2020)
|Ext.
Reported Trait: Obesity between male siblings OR: 2.21 [1.92, 2.54] Sex, time of measurement, age, PCs (1-20), genotyping batch 2.07 million of the 2.1 milliion common variants (excluding those with insufficient quality of genotyping or imputation (r^2 < 0.8) in the HUNT cohort) were included in the polygenic score previously developed by Khera et al (2019).
PPM001726 PGS000027
(GPS_BMI)
PSS000886|
European Ancestry|
21,499 individuals
PGP000141 |
Brandkvist M et al. PLoS Med (2020)
|Ext.
Reported Trait: Obesity within female siblings OR: 2.09 [1.74, 2.51] Sex, time of measurement, age, PCs (1-20), genotyping batch 2.07 million of the 2.1 milliion common variants (excluding those with insufficient quality of genotyping or imputation (r^2 < 0.8) in the HUNT cohort) were included in the polygenic score previously developed by Khera et al (2019).
PPM000071 PGS000034
(GRS_BMI)
PSS000048|
European Ancestry|
5,956 individuals
PGP000021 |
Song M et al. Diabetes (2017)
Reported Trait: mean BMI difference β (per 10-allele increment): 0.54 [0.38, 0.71]
PPM001727 PGS000027
(GPS_BMI)
PSS000886|
European Ancestry|
21,499 individuals
PGP000141 |
Brandkvist M et al. PLoS Med (2020)
|Ext.
Reported Trait: Obesity between female siblings OR: 2.13 [1.87, 2.43] Sex, time of measurement, age, PCs (1-20), genotyping batch 2.07 million of the 2.1 milliion common variants (excluding those with insufficient quality of genotyping or imputation (r^2 < 0.8) in the HUNT cohort) were included in the polygenic score previously developed by Khera et al (2019).
PPM001728 PGS000027
(GPS_BMI)
PSS000887|
European Ancestry|
26,323 individuals
PGP000141 |
Brandkvist M et al. PLoS Med (2020)
|Ext.
Reported Trait: Obesity within male siblings OR: 2.15 [1.91, 2.41] Sex, time of measurement, age, PCs (1-20), genotyping batch 2.07 million of the 2.1 milliion common variants (excluding those with insufficient quality of genotyping or imputation (r^2 < 0.8) in the HUNT cohort) were included in the polygenic score previously developed by Khera et al (2019).
PPM000073 PGS000034
(GRS_BMI)
PSS000051|
European Ancestry|
2,942 individuals
PGP000021 |
Song M et al. Diabetes (2017)
Reported Trait: mean BMI difference β (per 10-allele increment): -0.22 [-0.39, -0.05]
PPM001730 PGS000027
(GPS_BMI)
PSS000888|
European Ancestry|
29,527 individuals
PGP000141 |
Brandkvist M et al. PLoS Med (2020)
|Ext.
Reported Trait: Obesity within female siblings OR: 1.87 [1.68, 2.09] Sex, time of measurement, age, PCs (1-20), genotyping batch 2.07 million of the 2.1 milliion common variants (excluding those with insufficient quality of genotyping or imputation (r^2 < 0.8) in the HUNT cohort) were included in the polygenic score previously developed by Khera et al (2019).
PPM001731 PGS000027
(GPS_BMI)
PSS000888|
European Ancestry|
29,527 individuals
PGP000141 |
Brandkvist M et al. PLoS Med (2020)
|Ext.
Reported Trait: Obesity between female siblings OR: 2.05 [1.89, 2.22] Sex, time of measurement, age, PCs (1-20), genotyping batch 2.07 million of the 2.1 milliion common variants (excluding those with insufficient quality of genotyping or imputation (r^2 < 0.8) in the HUNT cohort) were included in the polygenic score previously developed by Khera et al (2019).
PPM001732 PGS000027
(GPS_BMI)
PSS000889|
European Ancestry|
21,187 individuals
PGP000141 |
Brandkvist M et al. PLoS Med (2020)
|Ext.
Reported Trait: Obesity within male siblings OR: 2.0 [1.79, 2.23] Sex, time of measurement, age, PCs (1-20), genotyping batch 2.07 million of the 2.1 milliion common variants (excluding those with insufficient quality of genotyping or imputation (r^2 < 0.8) in the HUNT cohort) were included in the polygenic score previously developed by Khera et al (2019).
PPM001733 PGS000027
(GPS_BMI)
PSS000889|
European Ancestry|
21,187 individuals
PGP000141 |
Brandkvist M et al. PLoS Med (2020)
|Ext.
Reported Trait: Obesity between male siblings OR: 2.12 [1.96, 2.3] Sex, time of measurement, age, PCs (1-20), genotyping batch 2.07 million of the 2.1 milliion common variants (excluding those with insufficient quality of genotyping or imputation (r^2 < 0.8) in the HUNT cohort) were included in the polygenic score previously developed by Khera et al (2019).
PPM001734 PGS000027
(GPS_BMI)
PSS000890|
European Ancestry|
25,096 individuals
PGP000141 |
Brandkvist M et al. PLoS Med (2020)
|Ext.
Reported Trait: Obesity within female siblings OR: 2.0 [1.8, 2.21] Sex, time of measurement, age, PCs (1-20), genotyping batch 2.07 million of the 2.1 milliion common variants (excluding those with insufficient quality of genotyping or imputation (r^2 < 0.8) in the HUNT cohort) were included in the polygenic score previously developed by Khera et al (2019).
PPM001735 PGS000027
(GPS_BMI)
PSS000890|
European Ancestry|
25,096 individuals
PGP000141 |
Brandkvist M et al. PLoS Med (2020)
|Ext.
Reported Trait: Obesity between female siblings OR: 2.03 [1.88, 2.19] Sex, time of measurement, age, PCs (1-20), genotyping batch 2.07 million of the 2.1 milliion common variants (excluding those with insufficient quality of genotyping or imputation (r^2 < 0.8) in the HUNT cohort) were included in the polygenic score previously developed by Khera et al (2019).
PPM001707 PGS000716
(PGS295_elbs)
PSS000879|
European Ancestry|
12,179 individuals
PGP000140 |
Brandkvist M et al. Hum Mol Genet (2020)
|Ext.
Reported Trait: Obesity in individuals aged 18-23.9 AUROC: 0.618 [0.594, 0.641] Due to a lack of information in the HUNT dataset, only 277 of the 295 common variants used to build the childhood score by Richardson et al were included.
PPM001718 PGS000717
(PGS557_albs)
PSS000883|
European Ancestry|
62,541 individuals
PGP000140 |
Brandkvist M et al. Hum Mol Genet (2020)
|Ext.
Reported Trait: Obesity in individuals aged 30-69.9 AUROC: 0.597 [0.591, 0.602] Due to a lack of information in the HUNT dataset, only 509 of the 557 common variants used to build the adult score by Richardson et al were included.
PPM000074 PGS000034
(GRS_BMI)
PSS000049|
European Ancestry|
6,705 individuals
PGP000021 |
Song M et al. Diabetes (2017)
Reported Trait: mean BMI difference β (per 10-allele increment): 0.6 [0.42, 0.77]
PPM000075 PGS000034
(GRS_BMI)
PSS000052|
European Ancestry|
6,436 individuals
PGP000021 |
Song M et al. Diabetes (2017)
Reported Trait: mean BMI difference β (per 10-allele increment): 0.07 [-0.04, 0.19]
PPM000076 PGS000034
(GRS_BMI)
PSS000045|
European Ancestry|
1,699 individuals
PGP000021 |
Song M et al. Diabetes (2017)
Reported Trait: mean BMI difference β (per 10-allele increment): 0.23 [0.02, 0.44]
PPM000077 PGS000034
(GRS_BMI)
PSS000046|
European Ancestry|
1,634 individuals
PGP000021 |
Song M et al. Diabetes (2017)
Reported Trait: mean BMI difference β (per 10-allele increment): -0.1 [-0.29, 0.09]
PPM000078 PGS000034
(GRS_BMI)
PSS000047|
European Ancestry|
2,020 individuals
PGP000021 |
Song M et al. Diabetes (2017)
Reported Trait: mean BMI difference β (per 10-allele increment): -0.01 [-0.16, 0.14]
PPM001687 PGS000716
(PGS295_elbs)
PSS000879|
European Ancestry|
12,179 individuals
PGP000140 |
Brandkvist M et al. Hum Mol Genet (2020)
|Ext.
Reported Trait: Obesity in individuals aged 18-23.9 AUROC: 0.619 [0.596, 0.643] Due to a lack of information in the HUNT dataset, only 289 of the 295 common variants used to build the childhood score by Richardson et al were included. Additionally, 11 of the 289 common variants were proxies. Proxy SNPs were accepted if they had an R^2 ≥0.8 as well as a D’ ≥0.95 using publicly available reference haplotypes of a European British in England and Scotland population from Phase 3 (Version 5) of the 1000 Genomes Project.
PPM001688 PGS000716
(PGS295_elbs)
PSS000881|
European Ancestry|
17,139 individuals
PGP000140 |
Brandkvist M et al. Hum Mol Genet (2020)
|Ext.
Reported Trait: Obesity in individuals aged 24-29.9 AUROC: 0.602 [0.585, 0.618] Due to a lack of information in the HUNT dataset, only 289 of the 295 common variants used to build the childhood score by Richardson et al were included. Additionally, 11 of the 289 common variants were proxies. Proxy SNPs were accepted if they had an R^2 ≥0.8 as well as a D’ ≥0.95 using publicly available reference haplotypes of a European British in England and Scotland population from Phase 3 (Version 5) of the 1000 Genomes Project.
PPM001689 PGS000716
(PGS295_elbs)
PSS000883|
European Ancestry|
62,541 individuals
PGP000140 |
Brandkvist M et al. Hum Mol Genet (2020)
|Ext.
Reported Trait: Obesity in individuals aged 30-69.9 AUROC: 0.569 [0.564, 0.574] Due to a lack of information in the HUNT dataset, only 289 of the 295 common variants used to build the childhood score by Richardson et al were included. Additionally, 11 of the 289 common variants were proxies. Proxy SNPs were accepted if they had an R^2 ≥0.8 as well as a D’ ≥0.95 using publicly available reference haplotypes of a European British in England and Scotland population from Phase 3 (Version 5) of the 1000 Genomes Project.
PPM001690 PGS000716
(PGS295_elbs)
PSS000876|
European Ancestry|
3,124 individuals
PGP000140 |
Brandkvist M et al. Hum Mol Genet (2020)
|Ext.
Reported Trait: Overweight in individuals aged 12-15.9 AUROC: 0.658 [0.628, 0.687] Due to a lack of information in the HUNT dataset, only 289 of the 295 common variants used to build the childhood score by Richardson et al were included. Additionally, 11 of the 289 common variants were proxies. Proxy SNPs were accepted if they had an R^2 ≥0.8 as well as a D’ ≥0.95 using publicly available reference haplotypes of a European British in England and Scotland population from Phase 3 (Version 5) of the 1000 Genomes Project.
PPM001691 PGS000716
(PGS295_elbs)
PSS000878|
European Ancestry|
2,896 individuals
PGP000140 |
Brandkvist M et al. Hum Mol Genet (2020)
|Ext.
Reported Trait: Overweight in individuals aged 16-17.9 AUROC: 0.624 [0.589, 0.658] Due to a lack of information in the HUNT dataset, only 289 of the 295 common variants used to build the childhood score by Richardson et al were included. Additionally, 11 of the 289 common variants were proxies. Proxy SNPs were accepted if they had an R^2 ≥0.8 as well as a D’ ≥0.95 using publicly available reference haplotypes of a European British in England and Scotland population from Phase 3 (Version 5) of the 1000 Genomes Project.
PPM001692 PGS000716
(PGS295_elbs)
PSS000880|
European Ancestry|
12,179 individuals
PGP000140 |
Brandkvist M et al. Hum Mol Genet (2020)
|Ext.
Reported Trait: Overweight in individuals aged 18-23.9 AUROC: 0.602 [0.59, 0.613] Due to a lack of information in the HUNT dataset, only 289 of the 295 common variants used to build the childhood score by Richardson et al were included. Additionally, 11 of the 289 common variants were proxies. Proxy SNPs were accepted if they had an R^2 ≥0.8 as well as a D’ ≥0.95 using publicly available reference haplotypes of a European British in England and Scotland population from Phase 3 (Version 5) of the 1000 Genomes Project.
PPM001693 PGS000716
(PGS295_elbs)
PSS000882|
European Ancestry|
17,139 individuals
PGP000140 |
Brandkvist M et al. Hum Mol Genet (2020)
|Ext.
Reported Trait: Overweight in individuals aged 14-29.9 AUROC: 0.591 [0.582, 0.6] Due to a lack of information in the HUNT dataset, only 289 of the 295 common variants used to build the childhood score by Richardson et al were included. Additionally, 11 of the 289 common variants were proxies. Proxy SNPs were accepted if they had an R^2 ≥0.8 as well as a D’ ≥0.95 using publicly available reference haplotypes of a European British in England and Scotland population from Phase 3 (Version 5) of the 1000 Genomes Project.
PPM001695 PGS000717
(PGS557_albs)
PSS000875|
European Ancestry|
3,124 individuals
PGP000140 |
Brandkvist M et al. Hum Mol Genet (2020)
|Ext.
Reported Trait: Obesity in individuals aged 12-15.9 AUROC: 0.66 [0.57, 0.75] Due to a lack of information in the HUNT dataset, only 546 of the 557 common variants used to build the adult score by Richardson et al were included. Additionally, 28 of the 546 common variants were proxies. Proxy SNPs were accepted if they had an R^2 ≥0.8 as well as a D’ ≥0.95 using publicly available reference haplotypes of a European British in England and Scotland population from Phase 3 (Version 5) of the 1000 Genomes Project.
PPM001696 PGS000717
(PGS557_albs)
PSS000877|
European Ancestry|
2,896 individuals
PGP000140 |
Brandkvist M et al. Hum Mol Genet (2020)
|Ext.
Reported Trait: Obesity in individuals aged 16-17.9 AUROC: 0.661 [0.551, 0.77] Due to a lack of information in the HUNT dataset, only 546 of the 557 common variants used to build the adult score by Richardson et al were included. Additionally, 28 of the 546 common variants were proxies. Proxy SNPs were accepted if they had an R^2 ≥0.8 as well as a D’ ≥0.95 using publicly available reference haplotypes of a European British in England and Scotland population from Phase 3 (Version 5) of the 1000 Genomes Project.
PPM000763 PGS000298
(GRS941_BMI)
PSS000376|
European Ancestry|
1,354 individuals
PGP000092 |
Xie T et al. Circ Genom Precis Med (2020)
Reported Trait: Body mass index (kg/m2) : 0.0647 Sex, age
PPM000764 PGS000298
(GRS941_BMI)
PSS000377|
European Ancestry|
1,174 individuals
PGP000092 |
Xie T et al. Circ Genom Precis Med (2020)
Reported Trait: Body mass index (kg/m2) : 0.0655 Sex, age
PPM000765 PGS000298
(GRS941_BMI)
PSS000378|
European Ancestry|
1,095 individuals
PGP000092 |
Xie T et al. Circ Genom Precis Med (2020)
Reported Trait: Body mass index (kg/m2) : 0.0591 Sex, age
PPM000762 PGS000298
(GRS941_BMI)
PSS000375|
European Ancestry|
1,313 individuals
PGP000092 |
Xie T et al. Circ Genom Precis Med (2020)
Reported Trait: Body mass index (kg/m2) : 0.0612 Sex, age
PPM001736 PGS000027
(GPS_BMI)
PSS000891|
European Ancestry|
14,487 individuals
PGP000141 |
Brandkvist M et al. PLoS Med (2020)
|Ext.
Reported Trait: Obesity within male siblings OR: 1.9 [1.68, 2.14] Sex, time of measurement, age, PCs (1-20), genotyping batch 2.07 million of the 2.1 milliion common variants (excluding those with insufficient quality of genotyping or imputation (r^2 < 0.8) in the HUNT cohort) were included in the polygenic score previously developed by Khera et al (2019).
PPM000761 PGS000298
(GRS941_BMI)
PSS000374|
European Ancestry|
1,318 individuals
PGP000092 |
Xie T et al. Circ Genom Precis Med (2020)
Reported Trait: Body mass index (kg/m2) : 0.0579 Sex, age
PPM001699 PGS000717
(PGS557_albs)
PSS000883|
European Ancestry|
62,541 individuals
PGP000140 |
Brandkvist M et al. Hum Mol Genet (2020)
|Ext.
Reported Trait: Obesity in individuals aged 30-69.9 AUROC: 0.6 [0.595, 0.605] Due to a lack of information in the HUNT dataset, only 546 of the 557 common variants used to build the adult score by Richardson et al were included. Additionally, 28 of the 546 common variants were proxies. Proxy SNPs were accepted if they had an R^2 ≥0.8 as well as a D’ ≥0.95 using publicly available reference haplotypes of a European British in England and Scotland population from Phase 3 (Version 5) of the 1000 Genomes Project.
PPM000860 PGS000320
(PRS_BMI)
PSS000411|
European Ancestry|
104 individuals
PGP000096 |
Chami N et al. PLoS Med (2020)
Reported Trait: Body mass index (BMI; kg/m^2) in MC4R carriers Higher PRS in obese vs. normal weight MC4R mutation carriers (p-value): 1.70e-06 age, sex, 10 genetic PCs
PPM000859 PGS000320
(PRS_BMI)
PSS000412|
European Ancestry|
256,770 individuals
PGP000096 |
Chami N et al. PLoS Med (2020)
Reported Trait: Body mass index (BMI; kg/m^2) in MC4R non-carriers Higher PRS in obese vs. normal weight MC4R non-carriers (p-value): 2.00e-16 age, sex, 10 genetic PCs
PPM000858 PGS000320
(PRS_BMI)
PSS000413|
European Ancestry|
451,508 individuals
PGP000096 |
Chami N et al. PLoS Med (2020)
Reported Trait: Body mass index (BMI; kg/m^2) β: 1.29 : 0.0676 age, sex, 10 genetic PCs
PPM001769 PGS000027
(GPS_BMI)
PSS000911|
Greater Middle Eastern Ancestry|
13,989 individuals
PGP000147 |
Thareja G et al. Nat Commun (2021)
|Ext.
Reported Trait: Body mass index Pearson correlation coefficent (r): 0.22
PPM001633 PGS000716
(PGS295_elbs)
PSS000849|
European Ancestry|
5,898 individuals
PGP000132 |
Richardson TG et al. BMJ (2020)
Reported Trait: Childhood body mass index AUROC: 0.64
PPM001634 PGS000717
(PGS557_albs)
PSS000849|
European Ancestry|
5,898 individuals
PGP000132 |
Richardson TG et al. BMJ (2020)
Reported Trait: Childhood body mass index AUROC: 0.61
PPM001635 PGS000716
(PGS295_elbs)
PSS000847|
European Ancestry|
3,997 individuals
PGP000132 |
Richardson TG et al. BMJ (2020)
Reported Trait: Adolescent body mass index AUROC: 0.63
PPM001636 PGS000717
(PGS557_albs)
PSS000847|
European Ancestry|
3,997 individuals
PGP000132 |
Richardson TG et al. BMJ (2020)
Reported Trait: Adolescent body mass index AUROC: 0.63
PPM001637 PGS000716
(PGS295_elbs)
PSS000848|
European Ancestry|
2,199 individuals
PGP000132 |
Richardson TG et al. BMJ (2020)
Reported Trait: Adult body mass index AUROC: 0.57
PPM001638 PGS000717
(PGS557_albs)
PSS000848|
European Ancestry|
2,199 individuals
PGP000132 |
Richardson TG et al. BMJ (2020)
Reported Trait: Adult body mass index AUROC: 0.6
PPM001702 PGS000717
(PGS557_albs)
PSS000880|
European Ancestry|
12,179 individuals
PGP000140 |
Brandkvist M et al. Hum Mol Genet (2020)
|Ext.
Reported Trait: Overweight in individuals aged 18-23.9 AUROC: 0.595 [0.583, 0.607] Due to a lack of information in the HUNT dataset, only 546 of the 557 common variants used to build the adult score by Richardson et al were included. Additionally, 28 of the 546 common variants were proxies. Proxy SNPs were accepted if they had an R^2 ≥0.8 as well as a D’ ≥0.95 using publicly available reference haplotypes of a European British in England and Scotland population from Phase 3 (Version 5) of the 1000 Genomes Project.
PPM001703 PGS000717
(PGS557_albs)
PSS000882|
European Ancestry|
17,139 individuals
PGP000140 |
Brandkvist M et al. Hum Mol Genet (2020)
|Ext.
Reported Trait: Overweight in individuals aged 14-29.9 AUROC: 0.602 [0.593, 0.611] Due to a lack of information in the HUNT dataset, only 546 of the 557 common variants used to build the adult score by Richardson et al were included. Additionally, 28 of the 546 common variants were proxies. Proxy SNPs were accepted if they had an R^2 ≥0.8 as well as a D’ ≥0.95 using publicly available reference haplotypes of a European British in England and Scotland population from Phase 3 (Version 5) of the 1000 Genomes Project.
PPM001704 PGS000717
(PGS557_albs)
PSS000884|
European Ancestry|
62,541 individuals
PGP000140 |
Brandkvist M et al. Hum Mol Genet (2020)
|Ext.
Reported Trait: Overweight in individuals aged 30-69.9 AUROC: 0.585 [0.58, 0.589] Due to a lack of information in the HUNT dataset, only 546 of the 557 common variants used to build the adult score by Richardson et al were included. Additionally, 28 of the 546 common variants were proxies. Proxy SNPs were accepted if they had an R^2 ≥0.8 as well as a D’ ≥0.95 using publicly available reference haplotypes of a European British in England and Scotland population from Phase 3 (Version 5) of the 1000 Genomes Project.
PPM001705 PGS000716
(PGS295_elbs)
PSS000875|
European Ancestry|
3,124 individuals
PGP000140 |
Brandkvist M et al. Hum Mol Genet (2020)
|Ext.
Reported Trait: Obesity in individuals aged 12-15.9 AUROC: 0.739 [0.667, 0.811] Due to a lack of information in the HUNT dataset, only 277 of the 295 common variants used to build the childhood score by Richardson et al were included.
PPM001706 PGS000716
(PGS295_elbs)
PSS000877|
European Ancestry|
2,896 individuals
PGP000140 |
Brandkvist M et al. Hum Mol Genet (2020)
|Ext.
Reported Trait: Obesity in individuals aged 16-17.9 AUROC: 0.66 [0.566, 0.754] Due to a lack of information in the HUNT dataset, only 277 of the 295 common variants used to build the childhood score by Richardson et al were included.
PPM001737 PGS000027
(GPS_BMI)
PSS000891|
European Ancestry|
14,487 individuals
PGP000141 |
Brandkvist M et al. PLoS Med (2020)
|Ext.
Reported Trait: Obesity between male siblings OR: 2.0 [1.83, 2.19] Sex, time of measurement, age, PCs (1-20), genotyping batch 2.07 million of the 2.1 milliion common variants (excluding those with insufficient quality of genotyping or imputation (r^2 < 0.8) in the HUNT cohort) were included in the polygenic score previously developed by Khera et al (2019).
PPM001738 PGS000027
(GPS_BMI)
PSS000892|
European Ancestry|
17,740 individuals
PGP000141 |
Brandkvist M et al. PLoS Med (2020)
|Ext.
Reported Trait: Obesity within female siblings OR: 1.72 [1.53, 1.93] Sex, time of measurement, age, PCs (1-20), genotyping batch 2.07 million of the 2.1 milliion common variants (excluding those with insufficient quality of genotyping or imputation (r^2 < 0.8) in the HUNT cohort) were included in the polygenic score previously developed by Khera et al (2019).
PPM001739 PGS000027
(GPS_BMI)
PSS000892|
European Ancestry|
17,740 individuals
PGP000141 |
Brandkvist M et al. PLoS Med (2020)
|Ext.
Reported Trait: Obesity between female siblings OR: 1.89 [1.74, 2.05] Sex, time of measurement, age, PCs (1-20), genotyping batch 2.07 million of the 2.1 milliion common variants (excluding those with insufficient quality of genotyping or imputation (r^2 < 0.8) in the HUNT cohort) were included in the polygenic score previously developed by Khera et al (2019).
PPM001721 PGS000717
(PGS557_albs)
PSS000880|
European Ancestry|
12,179 individuals
PGP000140 |
Brandkvist M et al. Hum Mol Genet (2020)
|Ext.
Reported Trait: Overweight in individuals aged 18-23.9 AUROC: 0.592 [0.58, 0.604] Due to a lack of information in the HUNT dataset, only 509 of the 557 common variants used to build the adult score by Richardson et al were included.
PPM001685 PGS000716
(PGS295_elbs)
PSS000875|
European Ancestry|
3,124 individuals
PGP000140 |
Brandkvist M et al. Hum Mol Genet (2020)
|Ext.
Reported Trait: Obesity in individuals aged 12-15.9 AUROC: 0.735 [0.663, 0.806] Due to a lack of information in the HUNT dataset, only 289 of the 295 common variants used to build the childhood score by Richardson et al were included. Additionally, 11 of the 289 common variants were proxies. Proxy SNPs were accepted if they had an R^2 ≥0.8 as well as a D’ ≥0.95 using publicly available reference haplotypes of a European British in England and Scotland population from Phase 3 (Version 5) of the 1000 Genomes Project.
PPM001686 PGS000716
(PGS295_elbs)
PSS000877|
European Ancestry|
2,896 individuals
PGP000140 |
Brandkvist M et al. Hum Mol Genet (2020)
|Ext.
Reported Trait: Obesity in individuals aged 16-17.9 AUROC: 0.672 [0.577, 0.766] Due to a lack of information in the HUNT dataset, only 289 of the 295 common variants used to build the childhood score by Richardson et al were included. Additionally, 11 of the 289 common variants were proxies. Proxy SNPs were accepted if they had an R^2 ≥0.8 as well as a D’ ≥0.95 using publicly available reference haplotypes of a European British in England and Scotland population from Phase 3 (Version 5) of the 1000 Genomes Project.
PPM001694 PGS000716
(PGS295_elbs)
PSS000884|
European Ancestry|
62,541 individuals
PGP000140 |
Brandkvist M et al. Hum Mol Genet (2020)
|Ext.
Reported Trait: Overweight in individuals aged 30-69.9 AUROC: 0.568 [0.563, 0.573] Due to a lack of information in the HUNT dataset, only 289 of the 295 common variants used to build the childhood score by Richardson et al were included. Additionally, 11 of the 289 common variants were proxies. Proxy SNPs were accepted if they had an R^2 ≥0.8 as well as a D’ ≥0.95 using publicly available reference haplotypes of a European British in England and Scotland population from Phase 3 (Version 5) of the 1000 Genomes Project.
PPM001697 PGS000717
(PGS557_albs)
PSS000879|
European Ancestry|
12,179 individuals
PGP000140 |
Brandkvist M et al. Hum Mol Genet (2020)
|Ext.
Reported Trait: Obesity in individuals aged 18-23.9 AUROC: 0.629 [0.606, 0.652] Due to a lack of information in the HUNT dataset, only 546 of the 557 common variants used to build the adult score by Richardson et al were included. Additionally, 28 of the 546 common variants were proxies. Proxy SNPs were accepted if they had an R^2 ≥0.8 as well as a D’ ≥0.95 using publicly available reference haplotypes of a European British in England and Scotland population from Phase 3 (Version 5) of the 1000 Genomes Project.
PPM001698 PGS000717
(PGS557_albs)
PSS000881|
European Ancestry|
17,139 individuals
PGP000140 |
Brandkvist M et al. Hum Mol Genet (2020)
|Ext.
Reported Trait: Obesity in individuals aged 24-29.9 AUROC: 0.627 [0.611, 0.643] Due to a lack of information in the HUNT dataset, only 546 of the 557 common variants used to build the adult score by Richardson et al were included. Additionally, 28 of the 546 common variants were proxies. Proxy SNPs were accepted if they had an R^2 ≥0.8 as well as a D’ ≥0.95 using publicly available reference haplotypes of a European British in England and Scotland population from Phase 3 (Version 5) of the 1000 Genomes Project.
PPM001700 PGS000717
(PGS557_albs)
PSS000876|
European Ancestry|
3,124 individuals
PGP000140 |
Brandkvist M et al. Hum Mol Genet (2020)
|Ext.
Reported Trait: Overweight in individuals aged 12-15.9 AUROC: 0.591 [0.559, 0.623] Due to a lack of information in the HUNT dataset, only 546 of the 557 common variants used to build the adult score by Richardson et al were included. Additionally, 28 of the 546 common variants were proxies. Proxy SNPs were accepted if they had an R^2 ≥0.8 as well as a D’ ≥0.95 using publicly available reference haplotypes of a European British in England and Scotland population from Phase 3 (Version 5) of the 1000 Genomes Project.
PPM001701 PGS000717
(PGS557_albs)
PSS000878|
European Ancestry|
2,896 individuals
PGP000140 |
Brandkvist M et al. Hum Mol Genet (2020)
|Ext.
Reported Trait: Overweight in individuals aged 16-17.9 AUROC: 0.618 [0.583, 0.653] Due to a lack of information in the HUNT dataset, only 546 of the 557 common variants used to build the adult score by Richardson et al were included. Additionally, 28 of the 546 common variants were proxies. Proxy SNPs were accepted if they had an R^2 ≥0.8 as well as a D’ ≥0.95 using publicly available reference haplotypes of a European British in England and Scotland population from Phase 3 (Version 5) of the 1000 Genomes Project.
PPM001724 PGS000027
(GPS_BMI)
PSS000885|
European Ancestry|
19,588 individuals
PGP000141 |
Brandkvist M et al. PLoS Med (2020)
|Ext.
Reported Trait: Obesity within male siblings OR: 2.02 [1.66, 2.46] Sex, time of measurement, age, PCs (1-20), genotyping batch 2.07 million of the 2.1 milliion common variants (excluding those with insufficient quality of genotyping or imputation (r^2 < 0.8) in the HUNT cohort) were included in the polygenic score previously developed by Khera et al (2019).
PPM001729 PGS000027
(GPS_BMI)
PSS000887|
European Ancestry|
26,323 individuals
PGP000141 |
Brandkvist M et al. PLoS Med (2020)
|Ext.
Reported Trait: Obesity between male siblings OR: 2.15 [1.97, 2.34] Sex, time of measurement, age, PCs (1-20), genotyping batch 2.07 million of the 2.1 milliion common variants (excluding those with insufficient quality of genotyping or imputation (r^2 < 0.8) in the HUNT cohort) were included in the polygenic score previously developed by Khera et al (2019).
PPM001987 PGS000770
(PRS231)
PSS000992|
European Ancestry|
177 individuals
PGP000177 |
de Toro-Martín J et al. Front Genet (2019)
Reported Trait: Obesity Odds Ratio (OR_Trend): 1.19 [1.06, 1.33] Age, sex, random effect (family relatedness)
PPM001988 PGS000770
(PRS231)
PSS000991|
European Ancestry|
141 individuals
PGP000177 |
de Toro-Martín J et al. Front Genet (2019)
Reported Trait: Obesity Odds Ratio (OR_Trend): 1.12 [1.01, 1.25] Age, sex, random effect (family relatedness)
PPM001989 PGS000770
(PRS231)
PSS000992|
European Ancestry|
177 individuals
PGP000177 |
de Toro-Martín J et al. Front Genet (2019)
Reported Trait: Obesity prevalence AUROC: 0.661 Bootstrapping (n=1000)
PPM001990 PGS000770
(PRS231)
PSS000991|
European Ancestry|
141 individuals
PGP000177 |
de Toro-Martín J et al. Front Genet (2019)
Reported Trait: Obesity prevalence AUROC: 0.619 Bootstrapping (n=1000)
PPM001991 PGS000770
(PRS231)
PSS000992|
European Ancestry|
177 individuals
PGP000177 |
de Toro-Martín J et al. Front Genet (2019)
Reported Trait: Obesity prevalence AUROC: 0.127 [0.04, 0.22] Age, sex, bootstrapping (n=1000)
PPM001992 PGS000770
(PRS231)
PSS000992|
European Ancestry|
177 individuals
PGP000177 |
de Toro-Martín J et al. Front Genet (2019)
Reported Trait: Obesity prevalence Odds Ratio (OR, top 20% vs bottom 20%): 4.77 [1.54, 16.99] Age, sex, random effect (family relatedness)
PPM001993 PGS000770
(PRS231)
PSS000992|
European Ancestry|
177 individuals
PGP000177 |
de Toro-Martín J et al. Front Genet (2019)
Reported Trait: Obesity prevalence Odds Ratio (OR, middle 40-60% vs bottom 20%): 3.46 [1.11, 12.31] Age, sex, random effect (family relatedness)
PPM001994 PGS000770
(PRS231)
PSS000991|
European Ancestry|
141 individuals
PGP000177 |
de Toro-Martín J et al. Front Genet (2019)
Reported Trait: Obesity prevalence Odds Ratio (OR, middle 60-80% vs bottom 20%): 3.79 [1.07, 15.86] Age, sex, random effect (family relatedness)
PPM001995 PGS000770
(PRS231)
PSS000992|
European Ancestry|
177 individuals
PGP000177 |
de Toro-Martín J et al. Front Genet (2019)
Reported Trait: Body mass index β: 0.33 : 0.032 Sex, age
PPM002235 PGS000830
(BMI_PGS_F)
PSS001083|
Multi-ancestry (including European)|
2,531 individuals
PGP000210 |
Zubair N et al. Sci Rep (2019)
Reported Trait: Body mass index (female) : 0.027 Age at baseline, sex, enrollment channel, PCs(1-7), observation season, observation vendor
PPM002236 PGS000829
(BMI_PGS_M)
PSS001083|
Multi-ancestry (including European)|
2,531 individuals
PGP000210 |
Zubair N et al. Sci Rep (2019)
Reported Trait: Body mass index (male) : 0.017 Age at baseline, sex, enrollment channel, PCs(1-7), observation season, observation vendor
PPM002288 PGS000841
(BMI)
PSS001086|
European Ancestry|
3,194 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Severe Autoimmune Diabetes OR: 1.14 [1.03, 1.26] PC1-10
PPM002289 PGS000841
(BMI)
PSS001087|
European Ancestry|
3,930 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Severe Insulin-Deficient Diabetes OR: 1.15 [1.07, 1.23] PC1-10
PPM002290 PGS000841
(BMI)
PSS001088|
European Ancestry|
3,869 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Severe Insulin-Resistant Diabetes OR: 1.23 [1.14, 1.32] PC1-10
PPM002291 PGS000841
(BMI)
PSS001085|
European Ancestry|
4,116 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Moderate Obesity-related Diabetes OR: 1.29 [1.21, 1.38] PC1-10
PPM002292 PGS000841
(BMI)
PSS001084|
European Ancestry|
5,597 individuals
PGP000211 |
Aly DM et al. Nat Genet (2021)
Reported Trait: Moderate Age-Related Diabetes OR: 1.05 [0.99, 1.1] PC1-10
PPM002930 PGS000910
(PRS_BMI)
PSS001433|
European Ancestry|
5,719 individuals
PGP000238 |
Campos AI et al. Commun Med (Lond) (2021)
Reported Trait: Weight gain in Sertraline takers OR: 1.27 [1.19, 1.35] Variance explained (Nagelkerke's R2*100): 1.57 sex, age at study enrollment, genetic PCs 1-20
PPM002931 PGS000910
(PRS_BMI)
PSS001429|
European Ancestry|
4,365 individuals
PGP000238 |
Campos AI et al. Commun Med (Lond) (2021)
Reported Trait: Weight gain in Escitalopram takers OR: 1.22 [1.14, 1.31] Variance explained (Nagelkerke's R2*100): 1.17 sex, age at study enrollment, genetic PCs 1-20
PPM002932 PGS000910
(PRS_BMI)
PSS001434|
European Ancestry|
3,967 individuals
PGP000238 |
Campos AI et al. Commun Med (Lond) (2021)
Reported Trait: Weight gain in Venlafaxine takers OR: 1.23 [1.14, 1.32] Variance explained (Nagelkerke's R2*100): 1.28 sex, age at study enrollment, genetic PCs 1-20
PPM002933 PGS000910
(PRS_BMI)
PSS001425|
European Ancestry|
1,657 individuals
PGP000238 |
Campos AI et al. Commun Med (Lond) (2021)
Reported Trait: Weight gain in Amitriptyline takers OR: 1.27 [1.13, 1.42] Variance explained (Nagelkerke's R2*100): 1.74 sex, age at study enrollment, genetic PCs 1-20
PPM002935 PGS000910
(PRS_BMI)
PSS001427|
European Ancestry|
2,524 individuals
PGP000238 |
Campos AI et al. Commun Med (Lond) (2021)
Reported Trait: Weight gain in Desvenlafaxine takers OR: 1.24 [1.13, 1.36] Variance explained (Nagelkerke's R2*100): 1.36 sex, age at study enrollment, genetic PCs 1-20
PPM002936 PGS000910
(PRS_BMI)
PSS001426|
European Ancestry|
2,585 individuals
PGP000238 |
Campos AI et al. Commun Med (Lond) (2021)
Reported Trait: Weight gain in Citalopram takers OR: 1.39 [1.26, 1.53] Variance explained (Nagelkerke's R2*100): 2.83 sex, age at study enrollment, genetic PCs 1-20
PPM002937 PGS000910
(PRS_BMI)
PSS001430|
European Ancestry|
3,670 individuals
PGP000238 |
Campos AI et al. Commun Med (Lond) (2021)
Reported Trait: Weight gain in Fluoxetine takers OR: 1.3 [1.2, 1.4] Variance explained (Nagelkerke's R2*100): 1.87 sex, age at study enrollment, genetic PCs 1-20
PPM002938 PGS000910
(PRS_BMI)
PSS001428|
European Ancestry|
1,995 individuals
PGP000238 |
Campos AI et al. Commun Med (Lond) (2021)
Reported Trait: Weight gain in Duloxetine takers OR: 1.21 [1.1, 1.34] Variance explained (Nagelkerke's R2*100): 1.26 sex, age at study enrollment, genetic PCs 1-20
PPM002934 PGS000910
(PRS_BMI)
PSS001431|
European Ancestry|
1,987 individuals
PGP000238 |
Campos AI et al. Commun Med (Lond) (2021)
Reported Trait: Weight gain in Mirtazapine takers OR: 1.21 [1.1, 1.33] Variance explained (Nagelkerke's R2*100): 1.23 sex, age at study enrollment, genetic PCs 1-20
PPM002939 PGS000910
(PRS_BMI)
PSS001432|
European Ancestry|
1,580 individuals
PGP000238 |
Campos AI et al. Commun Med (Lond) (2021)
Reported Trait: Weight gain in Paroxetine takers OR: 1.19 [1.06, 1.33] Variance explained (Nagelkerke's R2*100): 0.84 sex, age at study enrollment, genetic PCs 1-20
PPM002993 PGS000921
(PRS_BMI)
PSS001456|
European Ancestry|
5,179 individuals
PGP000243 |
Borisevich D et al. PLoS One (2021)
Reported Trait: Body mass index β: 1.7 kg/m2 : 0.162
R2 (linear regression BMI ~ 1 + PRS): 0.131
age, sex
PPM016747 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Flat foot OR: 2.1
β: 0.7 (0.2)
PPM016596 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Vitamin deficiency OR: 2.0
β: 0.7 (0.1)
PPM016783 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Corns and callosities OR: 1.5
β: 0.4 (0.1)
PPM016784 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Acute pain OR: 1.4
β: 0.3 (0.1)
PPM016785 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Abnormal glucose OR: 1.3
β: 0.3 (0.1)
PPM016570 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Myocardial infarction OR: 2.5
β: 0.9 (0.1)
PPM016786 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Chronic pain syndrome OR: 2.1
β: 0.7 (0.2)
PPM016787 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Acute and chronic tonsillitis OR: 1.8
β: 0.6 (0.2)
PPM016980 PGS000027
(GPS_BMI)
PSS010096|
Multi-ancestry (including European)|
65,174 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Joint effusions OR: 1.1
β: 0.1 (0.0)
PPM016649 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Carbuncle and furuncle OR: 3.7
β: 1.3 (0.2)
PPM016738 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Disorders of parathyroid gland OR: 2.0
β: 0.7 (0.2)
PPM016739 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Disorders of adrenal glands OR: 2.0
β: 0.7 (0.2)
PPM016740 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Ingrowing nail OR: 1.8
β: 0.6 (0.1)
PPM008654 PGS001228
(GBE_INI21001)
PSS004911|
African Ancestry|
6,398 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: BMI : 0.06264 [0.05124, 0.07404]
Incremental R2 (full-covars): 0.01685
PGS R2 (no covariates): 0.02029 [0.0135, 0.02707]
age, sex, UKB array type, Genotype PCs
PPM008655 PGS001228
(GBE_INI21001)
PSS004912|
East Asian Ancestry|
1,696 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: BMI : 0.16636 [0.13414, 0.19858]
Incremental R2 (full-covars): 0.03119
PGS R2 (no covariates): 0.06222 [0.04005, 0.08439]
age, sex, UKB array type, Genotype PCs
PPM008656 PGS001228
(GBE_INI21001)
PSS004913|
European Ancestry|
24,795 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: BMI : 0.13175 [0.12392, 0.13958]
Incremental R2 (full-covars): 0.09741
PGS R2 (no covariates): 0.10338 [0.09622, 0.11054]
age, sex, UKB array type, Genotype PCs
PPM008657 PGS001228
(GBE_INI21001)
PSS004914|
South Asian Ancestry|
7,639 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: BMI : 0.0872 [0.07527, 0.09914]
Incremental R2 (full-covars): 0.06488
PGS R2 (no covariates): 0.0648 [0.05426, 0.07534]
age, sex, UKB array type, Genotype PCs
PPM008658 PGS001228
(GBE_INI21001)
PSS004915|
European Ancestry|
67,235 individuals
PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
Reported Trait: BMI : 0.12084 [0.11623, 0.12545]
Incremental R2 (full-covars): 0.10799
PGS R2 (no covariates): 0.11052 [0.10606, 0.11499]
age, sex, UKB array type, Genotype PCs
PPM016651 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Gouty arthropathy OR: 2.9
β: 1.1 (0.2)
PPM016652 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Hypoglycemia OR: 3.1
β: 1.1 (0.2)
PPM016830 PGS000027
(GPS_BMI)
PSS010096|
Multi-ancestry (including European)|
65,174 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Essential hypertension OR: 1.2
β: 0.2 (0.0)
PPM009497 PGS001825
(portability-PLR_278)
PSS009295|
European Ancestry|
20,000 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Overweight, obesity and other hyperalimentation Partial Correlation (partial-r): 0.0547 [0.0409, 0.0686] sex, age, birth date, deprivation index, 16 PCs
PPM009499 PGS001825
(portability-PLR_278)
PSS008623|
European Ancestry|
6,660 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Overweight, obesity and other hyperalimentation Partial Correlation (partial-r): 0.0516 [0.0276, 0.0756] sex, age, birth date, deprivation index, 16 PCs
PPM009500 PGS001825
(portability-PLR_278)
PSS008398|
Greater Middle Eastern Ancestry|
1,200 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Overweight, obesity and other hyperalimentation Partial Correlation (partial-r): 0.0493 [-0.0078, 0.106] sex, age, birth date, deprivation index, 16 PCs
PPM009501 PGS001825
(portability-PLR_278)
PSS008177|
South Asian Ancestry|
6,331 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Overweight, obesity and other hyperalimentation Partial Correlation (partial-r): 0.0334 [0.0087, 0.058] sex, age, birth date, deprivation index, 16 PCs
PPM009502 PGS001825
(portability-PLR_278)
PSS007963|
East Asian Ancestry|
1,810 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Overweight, obesity and other hyperalimentation Partial Correlation (partial-r): -0.0049 [-0.0513, 0.0414] sex, age, birth date, deprivation index, 16 PCs
PPM009503 PGS001825
(portability-PLR_278)
PSS007744|
African Ancestry|
2,484 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Overweight, obesity and other hyperalimentation Partial Correlation (partial-r): 0.0323 [-0.0072, 0.0717] sex, age, birth date, deprivation index, 16 PCs
PPM009504 PGS001825
(portability-PLR_278)
PSS008848|
African Ancestry|
3,924 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Overweight, obesity and other hyperalimentation Partial Correlation (partial-r): 0.0208 [-0.0105, 0.0522] sex, age, birth date, deprivation index, 16 PCs
PPM016831 PGS000027
(GPS_BMI)
PSS010096|
Multi-ancestry (including European)|
65,174 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Hypertension OR: 1.2
β: 0.2 (0.0)
PPM010419 PGS001943
(portability-PLR_log_BMI)
PSS009429|
European Ancestry|
19,937 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Body mass index (BMI) Partial Correlation (partial-r): 0.3698 [0.3577, 0.3817] sex, age, birth date, deprivation index, 16 PCs
PPM010420 PGS001943
(portability-PLR_log_BMI)
PSS009203|
European Ancestry|
4,124 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Body mass index (BMI) Partial Correlation (partial-r): 0.3628 [0.336, 0.3891] sex, age, birth date, deprivation index, 16 PCs
PPM010421 PGS001943
(portability-PLR_log_BMI)
PSS008757|
European Ancestry|
6,622 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Body mass index (BMI) Partial Correlation (partial-r): 0.3557 [0.3345, 0.3766] sex, age, birth date, deprivation index, 16 PCs
PPM010422 PGS001943
(portability-PLR_log_BMI)
PSS008531|
Greater Middle Eastern Ancestry|
1,178 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Body mass index (BMI) Partial Correlation (partial-r): 0.3001 [0.2468, 0.3517] sex, age, birth date, deprivation index, 16 PCs
PPM010423 PGS001943
(portability-PLR_log_BMI)
PSS008309|
South Asian Ancestry|
6,145 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Body mass index (BMI) Partial Correlation (partial-r): 0.3048 [0.2819, 0.3274] sex, age, birth date, deprivation index, 16 PCs
PPM010424 PGS001943
(portability-PLR_log_BMI)
PSS008086|
East Asian Ancestry|
1,799 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Body mass index (BMI) Partial Correlation (partial-r): 0.2501 [0.206, 0.2931] sex, age, birth date, deprivation index, 16 PCs
PPM010425 PGS001943
(portability-PLR_log_BMI)
PSS007873|
African Ancestry|
2,444 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Body mass index (BMI) Partial Correlation (partial-r): 0.1973 [0.1587, 0.2352] sex, age, birth date, deprivation index, 16 PCs
PPM010426 PGS001943
(portability-PLR_log_BMI)
PSS008977|
African Ancestry|
3,859 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Body mass index (BMI) Partial Correlation (partial-r): 0.1571 [0.1261, 0.1878] sex, age, birth date, deprivation index, 16 PCs
PPM016832 PGS000027
(GPS_BMI)
PSS010096|
Multi-ancestry (including European)|
65,174 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Diabetes mellitus OR: 1.3
β: 0.3 (0.0)
PPM016833 PGS000027
(GPS_BMI)
PSS010096|
Multi-ancestry (including European)|
65,174 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Type 2 diabetes OR: 1.4
β: 0.3 (0.0)
PPM016835 PGS000027
(GPS_BMI)
PSS010096|
Multi-ancestry (including European)|
65,174 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Obesity OR: 1.8
β: 0.6 (0.0)
PPM011135 PGS002033
(portability-ldpred2_278)
PSS009295|
European Ancestry|
20,000 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Overweight, obesity and other hyperalimentation Partial Correlation (partial-r): 0.0789 [0.0651, 0.0927] sex, age, birth date, deprivation index, 16 PCs
PPM011137 PGS002033
(portability-ldpred2_278)
PSS008623|
European Ancestry|
6,660 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Overweight, obesity and other hyperalimentation Partial Correlation (partial-r): 0.0824 [0.0585, 0.1062] sex, age, birth date, deprivation index, 16 PCs
PPM011138 PGS002033
(portability-ldpred2_278)
PSS008398|
Greater Middle Eastern Ancestry|
1,200 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Overweight, obesity and other hyperalimentation Partial Correlation (partial-r): 0.0801 [0.0232, 0.1366] sex, age, birth date, deprivation index, 16 PCs
PPM011139 PGS002033
(portability-ldpred2_278)
PSS008177|
South Asian Ancestry|
6,331 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Overweight, obesity and other hyperalimentation Partial Correlation (partial-r): 0.0502 [0.0255, 0.0747] sex, age, birth date, deprivation index, 16 PCs
PPM011140 PGS002033
(portability-ldpred2_278)
PSS007963|
East Asian Ancestry|
1,810 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Overweight, obesity and other hyperalimentation Partial Correlation (partial-r): 0.0109 [-0.0354, 0.0572] sex, age, birth date, deprivation index, 16 PCs
PPM011141 PGS002033
(portability-ldpred2_278)
PSS007744|
African Ancestry|
2,484 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Overweight, obesity and other hyperalimentation Partial Correlation (partial-r): 0.0265 [-0.013, 0.0659] sex, age, birth date, deprivation index, 16 PCs
PPM011142 PGS002033
(portability-ldpred2_278)
PSS008848|
African Ancestry|
3,924 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Overweight, obesity and other hyperalimentation Partial Correlation (partial-r): 0.0516 [0.0203, 0.0829] sex, age, birth date, deprivation index, 16 PCs
PPM016836 PGS000027
(GPS_BMI)
PSS010096|
Multi-ancestry (including European)|
65,174 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Osteoarthrosis OR: 1.2
β: 0.2 (0.0)
PPM016837 PGS000027
(GPS_BMI)
PSS010096|
Multi-ancestry (including European)|
65,174 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Osteoarthritis; localized OR: 1.2
β: 0.2 (0.0)
PPM012135 PGS002161
(portability-ldpred2_log_BMI)
PSS009429|
European Ancestry|
19,937 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Body mass index (BMI) Partial Correlation (partial-r): 0.3664 [0.3544, 0.3784] sex, age, birth date, deprivation index, 16 PCs
PPM012136 PGS002161
(portability-ldpred2_log_BMI)
PSS009203|
European Ancestry|
4,124 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Body mass index (BMI) Partial Correlation (partial-r): 0.3698 [0.3431, 0.3959] sex, age, birth date, deprivation index, 16 PCs
PPM012137 PGS002161
(portability-ldpred2_log_BMI)
PSS008757|
European Ancestry|
6,622 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Body mass index (BMI) Partial Correlation (partial-r): 0.3595 [0.3384, 0.3804] sex, age, birth date, deprivation index, 16 PCs
PPM012138 PGS002161
(portability-ldpred2_log_BMI)
PSS008531|
Greater Middle Eastern Ancestry|
1,178 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Body mass index (BMI) Partial Correlation (partial-r): 0.2932 [0.2396, 0.345] sex, age, birth date, deprivation index, 16 PCs
PPM012139 PGS002161
(portability-ldpred2_log_BMI)
PSS008309|
South Asian Ancestry|
6,145 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Body mass index (BMI) Partial Correlation (partial-r): 0.308 [0.2851, 0.3305] sex, age, birth date, deprivation index, 16 PCs
PPM012141 PGS002161
(portability-ldpred2_log_BMI)
PSS007873|
African Ancestry|
2,444 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Body mass index (BMI) Partial Correlation (partial-r): 0.2104 [0.1721, 0.2482] sex, age, birth date, deprivation index, 16 PCs
PPM012142 PGS002161
(portability-ldpred2_log_BMI)
PSS008977|
African Ancestry|
3,859 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Body mass index (BMI) Partial Correlation (partial-r): 0.1573 [0.1263, 0.188] sex, age, birth date, deprivation index, 16 PCs
PPM009498 PGS001825
(portability-PLR_278)
PSS009069|
European Ancestry|
4,136 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Overweight, obesity and other hyperalimentation Partial Correlation (partial-r): 0.0453 [0.0148, 0.0758] sex, age, birth date, deprivation index, 16 PCs
PPM011136 PGS002033
(portability-ldpred2_278)
PSS009069|
European Ancestry|
4,136 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Overweight, obesity and other hyperalimentation Partial Correlation (partial-r): 0.0523 [0.0218, 0.0827] sex, age, birth date, deprivation index, 16 PCs
PPM012140 PGS002161
(portability-ldpred2_log_BMI)
PSS008086|
East Asian Ancestry|
1,799 individuals
PGP000263 |
Privé F et al. Am J Hum Genet (2022)
Reported Trait: Body mass index (BMI) Partial Correlation (partial-r): 0.2694 [0.2257, 0.3119] sex, age, birth date, deprivation index, 16 PCs
PPM012804 PGS002251
(PRS97_BMI)
PSS009565|
European Ancestry|
33,511 individuals
PGP000278 |
Dashti HS et al. BMC Med (2022)
Reported Trait: Body mass index β: 0.83 [0.76, 0.9] age, sex, genotyping array, and 5 PCs of ancestry beta unit kg/m2
PPM016838 PGS000027
(GPS_BMI)
PSS010096|
Multi-ancestry (including European)|
65,174 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Hyperlipidemia OR: 1.2
β: 0.1 (0.0)
PPM016839 PGS000027
(GPS_BMI)
PSS010096|
Multi-ancestry (including European)|
65,174 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Disorders of lipoid metabolism OR: 1.2
β: 0.1 (0.0)
PPM016653 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Osteoarthrosis, generalized OR: 2.2
β: 0.8 (0.1)
PPM014877 PGS000027
(GPS_BMI)
PSS009917|
European Ancestry|
832 individuals
PGP000349 |
Shi M et al. Circ Genom Precis Med (2022)
|Ext.
Reported Trait: Body mass index (last completed follow-up visit) : 0.0729
PPM014878 PGS000027
(GPS_BMI)
PSS009916|
African Ancestry|
369 individuals
PGP000349 |
Shi M et al. Circ Genom Precis Med (2022)
|Ext.
Reported Trait: Body mass index (last completed follow-up visit) : 0.0256
PPM014880 PGS000027
(GPS_BMI)
PSS009917|
European Ancestry|
832 individuals
PGP000349 |
Shi M et al. Circ Genom Precis Med (2022)
|Ext.
Reported Trait: Fasting plasma glucose (last completed follow-up visit) β: 2.82 (0.87) Age, sex, ancestry principal components, and baseline BMI
PPM014881 PGS000027
(GPS_BMI)
PSS009917|
European Ancestry|
832 individuals
PGP000349 |
Shi M et al. Circ Genom Precis Med (2022)
|Ext.
Reported Trait: Systolic blood pressure (last completed follow-up visit) β: 1.09 (0.52) Age, sex, ancestry principal components, and baseline BMI
PPM014882 PGS000027
(GPS_BMI)
PSS009917|
European Ancestry|
832 individuals
PGP000349 |
Shi M et al. Circ Genom Precis Med (2022)
|Ext.
Reported Trait: Obesity HR: 1.26 [1.14, 1.38] Sex, birth year, ancestry principal components, and baseline BMI
PPM014883 PGS000027
(GPS_BMI)
PSS009916|
African Ancestry|
369 individuals
PGP000349 |
Shi M et al. Circ Genom Precis Med (2022)
|Ext.
Reported Trait: Obesity HR: 1.11 [0.96, 1.38] Sex, birth year, ancestry principal components, and baseline BMI
PPM014879 PGS000027
(GPS_BMI)
PSS009917|
European Ancestry|
832 individuals
PGP000349 |
Shi M et al. Circ Genom Precis Med (2022)
|Ext.
Reported Trait: Body mass index (last completed follow-up visit) β: 1.29 (0.22) Age, sex, PCs, PRS, baseline BMI
PPM014943 PGS002751
(GRSrare)
PSS009938|
European Ancestry|
6,064 individuals
PGP000363 |
Sapkota Y et al. Nat Med (2022)
Reported Trait: Overweight Odds Ratio (OR, 10th vs. 1st decile): 1.78 [1.14, 2.79] Cubic splines (five knots at 19.8, 24.0, 28.9, 34.9 and 46.9 years) of age at body mass index assessment, 10 genetic PCs
PPM014944 PGS002751
(GRSrare)
PSS009938|
European Ancestry|
6,064 individuals
PGP000363 |
Sapkota Y et al. Nat Med (2022)
Reported Trait: Obesity Odds Ratio (OR, 10th vs. 1st decile): 1.37 [0.66, 2.88] Cubic splines (five knots at 19.8, 24.0, 28.9, 34.9 and 46.9 years) of age at body mass index assessment, 10 genetic PCs
PPM014945 PGS000027
(GPS_BMI)
PSS009938|
European Ancestry|
6,064 individuals
PGP000363 |
Sapkota Y et al. Nat Med (2022)
|Ext.
Reported Trait: Overweight Odds Ratio (OR, 10th vs. 1st decile): 2.74 [1.64, 4.57] Cubic splines (five knots at 19.8, 24.0, 28.9, 34.9 and 46.9 years) of age at body mass index assessment, 10 genetic PCs
PPM014946 PGS000027
(GPS_BMI)
PSS009938|
European Ancestry|
6,064 individuals
PGP000363 |
Sapkota Y et al. Nat Med (2022)
|Ext.
Reported Trait: Obesity Odds Ratio (OR, 10th vs. 1st decile): 10.04 [5.92, 17.01] Cubic splines (five knots at 19.8, 24.0, 28.9, 34.9 and 46.9 years) of age at body mass index assessment, 10 genetic PCs
PPM014947 PGS000027
(GPS_BMI)
PSS009938|
European Ancestry|
6,064 individuals
PGP000363 |
Sapkota Y et al. Nat Med (2022)
|Ext.
Reported Trait: Severe obesity Odds Ratio (OR, 10th vs. 1st decile): 53.05 [17.64, 159.54] Cubic splines (five knots at 19.8, 24.0, 28.9, 34.9 and 46.9 years) of age at body mass index assessment, 10 genetic PCs
PPM014948 PGS000027
(GPS_BMI)
PSS009937|
African Ancestry|
449 individuals
PGP000363 |
Sapkota Y et al. Nat Med (2022)
|Ext.
Reported Trait: Underweight Odds Ratio (OR, 10th vs. 1st decile): 0.0 [0.0, 0.37] Cubic splines (five knots at 19.8, 24.0, 28.9, 34.9 and 46.9 years) of age at body mass index assessment, 10 genetic PCs
PPM014950 PGS000027
(GPS_BMI)
PSS009937|
African Ancestry|
449 individuals
PGP000363 |
Sapkota Y et al. Nat Med (2022)
|Ext.
Reported Trait: Obesity Odds Ratio (OR, 10th vs. 1st decile): 5.92 [1.67, 20.96] Cubic splines (five knots at 19.8, 24.0, 28.9, 34.9 and 46.9 years) of age at body mass index assessment, 10 genetic PCs
PPM014951 PGS000027
(GPS_BMI)
PSS009937|
African Ancestry|
449 individuals
PGP000363 |
Sapkota Y et al. Nat Med (2022)
|Ext.
Reported Trait: Severe obesity Odds Ratio (OR, 10th vs. 1st decile): 19.68 [2.87, 135.02] Cubic splines (five knots at 19.8, 24.0, 28.9, 34.9 and 46.9 years) of age at body mass index assessment, 10 genetic PCs
PPM014949 PGS000027
(GPS_BMI)
PSS009937|
African Ancestry|
449 individuals
PGP000363 |
Sapkota Y et al. Nat Med (2022)
|Ext.
Reported Trait: Overweight Odds Ratio (OR, 10th vs. 1st decile): 3.53 [1.03, 12.09] Cubic splines (five knots at 19.8, 24.0, 28.9, 34.9 and 46.9 years) of age at body mass index assessment, 10 genetic PCs
PPM016535 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Obesity OR: 26.7
β: 3.3 (0.1)
PPM016536 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Morbid obesity OR: 77.0
β: 4.3 (0.1)
PPM016537 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Type 2 diabetes OR: 6.8
β: 1.9 (0.1)
PPM016538 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Diabetes mellitus OR: 6.4
β: 1.9 (0.1)
PPM016539 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Bariatric surgery OR: 110.6
β: 4.7 (0.2)
PPM016540 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Sleep apnea OR: 6.5
β: 1.9 (0.1)
PPM016541 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Eating disorder OR: 61.2
β: 4.1 (0.2)
PPM016542 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Obstructive sleep apnea OR: 5.8
β: 1.8 (0.1)
PPM016543 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Other chronic nonalcoholic liver disease OR: 7.9
β: 2.1 (0.1)
PPM016544 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Chronic liver disease and cirrhosis OR: 7.1
β: 2.0 (0.1)
PPM016545 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Hypertension OR: 3.7
β: 1.3 (0.1)
PPM016546 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Essential hypertension OR: 3.6
β: 1.3 (0.1)
PPM016548 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Insulin pump user OR: 7.7
β: 2.0 (0.1)
PPM016549 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Type 2 diabetes with neurological manifestations OR: 7.3
β: 2.0 (0.1)
PPM016550 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Polyneuropathy in diabetes OR: 6.9
β: 1.9 (0.1)
PPM016551 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Type 1 diabetes OR: 5.1
β: 1.6 (0.1)
PPM016552 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Type 2 diabetes with renal manifestations OR: 6.5
β: 1.9 (0.1)
PPM016553 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Edema OR: 2.7
β: 1.0 (0.1)
PPM016554 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Type 2 diabetes with ophthalmic manifestations OR: 8.2
β: 2.1 (0.2)
PPM016555 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Osteoarthrosis OR: 2.4
β: 0.9 (0.1)
PPM016556 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Other disorders of intestine OR: 3.3
β: 1.2 (0.1)
PPM016557 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Diabetic retinopathy OR: 7.2
β: 2.0 (0.2)
PPM016559 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Coronary atherosclerosis OR: 2.5
β: 0.9 (0.1)
PPM016560 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Acute renal failure OR: 2.9
β: 1.1 (0.1)
PPM016561 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Congestive heart failure; nonhypertensive OR: 2.7
β: 1.0 (0.1)
PPM016562 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Osteoarthrosis NOS OR: 2.4
β: 0.9 (0.1)
PPM016563 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Ischemic Heart Disease OR: 2.3
β: 0.8 (0.1)
PPM016564 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Renal failure OR: 2.3
β: 0.9 (0.1)
PPM016565 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Shortness of breath OR: 2.1
β: 0.7 (0.1)
PPM016566 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Hypertensive heart and/or renal disease OR: 2.4
β: 0.9 (0.1)
PPM016567 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Gout OR: 3.3
β: 1.2 (0.1)
PPM016568 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Cardiomegaly OR: 2.5
β: 0.9 (0.1)
PPM016571 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Chronic venous insufficiency [CVI] OR: 3.6
β: 1.3 (0.1)
PPM016572 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Panniculitis OR: 31.2
β: 3.4 (0.4)
PPM016655 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Deep vein thrombosis OR: 2.3
β: 0.8 (0.1)
PPM016573 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Encounter for long-term (current) use of anticoagulants OR: 2.3
β: 0.8 (0.1)
PPM016574 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Fluid overload OR: 3.5
β: 1.3 (0.1)
PPM016575 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Respiratory failure, insufficiency, arrest OR: 2.6
β: 1.0 (0.1)
PPM016577 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Hyperlipidemia OR: 1.9
β: 0.7 (0.1)
PPM016578 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Heart failure with preserved ejection fraction [Diastolic heart failure] OR: 3.5
β: 1.3 (0.1)
PPM016579 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Gout and other crystal arthropathies OR: 2.8
β: 1.0 (0.1)
PPM016595 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Mixed hyperlipidemia OR: 2.2
β: 0.8 (0.1)
PPM015628 PGS002843
(ExPRSweb_BMI_21001-irnt_DBSLMM_MGI_20211120)
PSS009997|
European Ancestry|
23,382 individuals
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Reported Trait: BMI β: 1.9 (0.0452) : 0.0692 SEX,AGE,Batch,PC1,PC2,PC3,PC4
PPM015629 PGS002840
(ExPRSweb_BMI_21001-irnt_LASSOSUM_MGI_20211120)
PSS009997|
European Ancestry|
23,382 individuals
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Reported Trait: BMI β: 2.27 (0.0445) : 0.099 SEX,AGE,Batch,PC1,PC2,PC3,PC4
PPM015630 PGS002842
(ExPRSweb_BMI_21001-irnt_PLINK_MGI_20211120)
PSS009997|
European Ancestry|
23,382 individuals
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Reported Trait: BMI β: 1.96 (0.0462) : 0.0699 SEX,AGE,Batch,PC1,PC2,PC3,PC4
PPM015631 PGS002844
(ExPRSweb_BMI_21001-irnt_PRSCS_MGI_20211120)
PSS009997|
European Ancestry|
23,382 individuals
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Reported Trait: BMI β: 2.37 (0.045) : 0.103 SEX,AGE,Batch,PC1,PC2,PC3,PC4
PPM015632 PGS002841
(ExPRSweb_BMI_21001-irnt_PT_MGI_20211120)
PSS009997|
European Ancestry|
23,382 individuals
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Reported Trait: BMI β: 2.13 (0.0461) : 0.0802 SEX,AGE,Batch,PC1,PC2,PC3,PC4
PPM015633 PGS002848
(ExPRSweb_BMI_21001-raw_DBSLMM_MGI_20211120)
PSS009997|
European Ancestry|
23,382 individuals
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Reported Trait: BMI β: 1.91 (0.045) : 0.0702 SEX,AGE,Batch,PC1,PC2,PC3,PC4
PPM015634 PGS002845
(ExPRSweb_BMI_21001-raw_LASSOSUM_MGI_20211120)
PSS009997|
European Ancestry|
23,382 individuals
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Reported Trait: BMI β: 2.27 (0.0444) : 0.0982 SEX,AGE,Batch,PC1,PC2,PC3,PC4
PPM015635 PGS002847
(ExPRSweb_BMI_21001-raw_PLINK_MGI_20211120)
PSS009997|
European Ancestry|
23,382 individuals
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Reported Trait: BMI β: 2.03 (0.0462) : 0.0729 SEX,AGE,Batch,PC1,PC2,PC3,PC4
PPM015636 PGS002849
(ExPRSweb_BMI_21001-raw_PRSCS_MGI_20211120)
PSS009997|
European Ancestry|
23,382 individuals
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Reported Trait: BMI β: 2.38 (0.0452) : 0.102 SEX,AGE,Batch,PC1,PC2,PC3,PC4
PPM015638 PGS002853
(ExPRSweb_BMI_23104-irnt_DBSLMM_MGI_20211120)
PSS009997|
European Ancestry|
23,382 individuals
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Reported Trait: BMI β: 1.89 (0.0453) : 0.0679 SEX,AGE,Batch,PC1,PC2,PC3,PC4
PPM015639 PGS002850
(ExPRSweb_BMI_23104-irnt_LASSOSUM_MGI_20211120)
PSS009997|
European Ancestry|
23,382 individuals
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Reported Trait: BMI β: 2.26 (0.0445) : 0.0983 SEX,AGE,Batch,PC1,PC2,PC3,PC4
PPM015640 PGS002852
(ExPRSweb_BMI_23104-irnt_PLINK_MGI_20211120)
PSS009997|
European Ancestry|
23,382 individuals
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Reported Trait: BMI β: 1.98 (0.0461) : 0.0716 SEX,AGE,Batch,PC1,PC2,PC3,PC4
PPM015641 PGS002854
(ExPRSweb_BMI_23104-irnt_PRSCS_MGI_20211120)
PSS009997|
European Ancestry|
23,382 individuals
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Reported Trait: BMI β: 2.35 (0.045) : 0.101 SEX,AGE,Batch,PC1,PC2,PC3,PC4
PPM015642 PGS002851
(ExPRSweb_BMI_23104-irnt_PT_MGI_20211120)
PSS009997|
European Ancestry|
23,382 individuals
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Reported Trait: BMI β: 2.14 (0.0462) : 0.0802 SEX,AGE,Batch,PC1,PC2,PC3,PC4
PPM015643 PGS002858
(ExPRSweb_BMI_23104-raw_DBSLMM_MGI_20211120)
PSS009997|
European Ancestry|
23,382 individuals
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Reported Trait: BMI β: 0.273 (0.00643) : 0.0687 SEX,AGE,Batch,PC1,PC2,PC3,PC4
PPM015644 PGS002855
(ExPRSweb_BMI_23104-raw_LASSOSUM_MGI_20211120)
PSS009997|
European Ancestry|
23,382 individuals
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Reported Trait: BMI β: 0.323 (0.00628) : 0.0973 SEX,AGE,Batch,PC1,PC2,PC3,PC4
PPM015645 PGS002857
(ExPRSweb_BMI_23104-raw_PLINK_MGI_20211120)
PSS009997|
European Ancestry|
23,382 individuals
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Reported Trait: BMI β: 0.279 (0.00652) : 0.0688 SEX,AGE,Batch,PC1,PC2,PC3,PC4
PPM015647 PGS002856
(ExPRSweb_BMI_23104-raw_PT_MGI_20211120)
PSS009997|
European Ancestry|
23,382 individuals
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Reported Trait: BMI β: 0.299 (0.00651) : 0.0772 SEX,AGE,Batch,PC1,PC2,PC3,PC4
PPM016746 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Fasciitis OR: 1.6
β: 0.5 (0.1)
PPM016047 PGS003127
(ExPRSweb_Thinness_STILTS-UKHLS_DBSLMM_MGI_20211120)
PSS010017|
European Ancestry|
21,346 individuals
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Reported Trait: Thinness OR: 0.96 [0.854, 1.08]
β: -0.0405 (0.0598)
AUROC: 0.462 [0.453, 0.471] SEX,AGE,Batch,PC1,PC2,PC3,PC4
PPM016048 PGS003132
(ExPRSweb_Thinness_STILTS-UKHLS_DBSLMM_UKB_20211120)
PSS010033|
European Ancestry|
199,694 individuals
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Reported Trait: Thinness OR: 0.96 [0.916, 1.005]
β: -0.0412 (0.0238)
AUROC: 0.49 [0.476, 0.505] Sex,birthYear,genotyping.array,PC1,PC2,PC3,PC4
PPM016049 PGS003124
(ExPRSweb_Thinness_STILTS-UKHLS_LASSOSUM_MGI_20211120)
PSS010017|
European Ancestry|
21,346 individuals
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Reported Trait: Thinness OR: 1.096 [0.989, 1.215]
β: 0.0919 (0.0523)
AUROC: 0.525 [0.493, 0.556] SEX,AGE,Batch,PC1,PC2,PC3,PC4
PPM016050 PGS003129
(ExPRSweb_Thinness_STILTS-UKHLS_LASSOSUM_UKB_20211120)
PSS010033|
European Ancestry|
199,694 individuals
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Reported Trait: Thinness OR: 1.13 [1.077, 1.185]
β: 0.122 (0.0244)
AUROC: 0.53 [0.517, 0.543] Sex,birthYear,genotyping.array,PC1,PC2,PC3,PC4
PPM016051 PGS003126
(ExPRSweb_Thinness_STILTS-UKHLS_PLINK_MGI_20211120)
PSS010017|
European Ancestry|
21,346 individuals
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Reported Trait: Thinness OR: 1.074 [0.973, 1.187]
β: 0.0718 (0.0508)
AUROC: 0.516 [0.49, 0.541] SEX,AGE,Batch,PC1,PC2,PC3,PC4
PPM016052 PGS003131
(ExPRSweb_Thinness_STILTS-UKHLS_PLINK_UKB_20211120)
PSS010033|
European Ancestry|
199,694 individuals
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Reported Trait: Thinness OR: 1.115 [1.06, 1.172]
β: 0.109 (0.0257)
AUROC: 0.521 [0.508, 0.535] Sex,birthYear,genotyping.array,PC1,PC2,PC3,PC4
PPM016053 PGS003128
(ExPRSweb_Thinness_STILTS-UKHLS_PRSCS_MGI_20211120)
PSS010017|
European Ancestry|
21,346 individuals
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Reported Trait: Thinness OR: 1.058 [0.944, 1.186]
β: 0.0566 (0.0582)
AUROC: 0.514 [0.49, 0.542] SEX,AGE,Batch,PC1,PC2,PC3,PC4
PPM016055 PGS003125
(ExPRSweb_Thinness_STILTS-UKHLS_PT_MGI_20211120)
PSS010017|
European Ancestry|
21,346 individuals
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Reported Trait: Thinness OR: 1.107 [1.003, 1.223]
β: 0.102 (0.0506)
AUROC: 0.532 [0.503, 0.561] SEX,AGE,Batch,PC1,PC2,PC3,PC4
PPM016056 PGS003130
(ExPRSweb_Thinness_STILTS-UKHLS_PT_UKB_20211120)
PSS010033|
European Ancestry|
199,694 individuals
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Reported Trait: Thinness OR: 1.106 [1.055, 1.161]
β: 0.101 (0.0244)
AUROC: 0.527 [0.513, 0.542] Sex,birthYear,genotyping.array,PC1,PC2,PC3,PC4
PPM015637 PGS002846
(ExPRSweb_BMI_21001-raw_PT_MGI_20211120)
PSS009997|
European Ancestry|
23,382 individuals
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Reported Trait: BMI β: 2.09 (0.0459) : 0.0779 SEX,AGE,Batch,PC1,PC2,PC3,PC4
PPM015646 PGS002859
(ExPRSweb_BMI_23104-raw_PRSCS_MGI_20211120)
PSS009997|
European Ancestry|
23,382 individuals
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Reported Trait: BMI β: 2.38 (0.0452) : 0.101 SEX,AGE,Batch,PC1,PC2,PC3,PC4
PPM016054 PGS003133
(ExPRSweb_Thinness_STILTS-UKHLS_PRSCS_UKB_20211120)
PSS010033|
European Ancestry|
199,694 individuals
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Reported Trait: Thinness OR: 1.166 [1.11, 1.224]
β: 0.153 (0.025)
AUROC: 0.537 [0.523, 0.55] Sex,birthYear,genotyping.array,PC1,PC2,PC3,PC4
PPM016840 PGS000027
(GPS_BMI)
PSS010096|
Multi-ancestry (including European)|
65,174 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Sleep apnea OR: 1.4
β: 0.4 (0.0)
PPM016841 PGS000027
(GPS_BMI)
PSS010096|
Multi-ancestry (including European)|
65,174 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Hypercholesterolemia OR: 1.2
β: 0.1 (0.0)
PPM016285 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: BMI : 0.0747
PPM016582 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Depression OR: 1.9
β: 0.7 (0.1)
PPM016583 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Diabetes type 2 with peripheral circulatory disorders OR: 7.0
β: 1.9 (0.2)
PPM016584 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Ventral hernia OR: 5.2
β: 1.6 (0.2)
PPM016585 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Disorders of lipoid metabolism OR: 1.9
β: 0.6 (0.1)
PPM016586 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Mood disorders OR: 1.9
β: 0.6 (0.1)
PPM016587 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Pulmonary heart disease OR: 2.5
β: 0.9 (0.1)
PPM016588 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Gastrojejunal ulcer OR: 61.0
β: 4.1 (0.4)
PPM016589 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Chronic pulmonary heart disease OR: 2.8
β: 1.0 (0.1)
PPM016590 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Dysmetabolic syndrome X OR: 8.0
β: 2.1 (0.2)
PPM016591 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Asthma OR: 2.1
β: 0.7 (0.1)
PPM016592 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Chronic ulcer of skin OR: 2.6
β: 1.0 (0.1)
PPM016593 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Superficial cellulitis and abscess OR: 1.9
β: 0.7 (0.1)
PPM016597 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Other venous embolism and thrombosis OR: 2.3
β: 0.8 (0.1)
PPM016598 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Postoperative infection OR: 3.0
β: 1.1 (0.1)
PPM016599 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Localized adiposity OR: 13.0
β: 2.6 (0.3)
PPM016600 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Pulmonary collapse; interstitial and compensatory emphysema OR: 2.1
β: 0.7 (0.1)
PPM016601 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Osteoarthritis; localized OR: 2.0
β: 0.7 (0.1)
PPM016602 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Respiratory failure OR: 2.8
β: 1.0 (0.1)
PPM016603 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Other dyspnea OR: 1.8
β: 0.6 (0.1)
PPM016604 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Cholelithiasis and cholecystitis OR: 2.4
β: 0.9 (0.1)
PPM016605 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Other disorders of the kidney and ureters OR: 2.0
β: 0.7 (0.1)
PPM016607 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Atrial fibrillation OR: 2.0
β: 0.7 (0.1)
PPM016608 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Cholelithiasis OR: 2.4
β: 0.9 (0.1)
PPM016609 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Incisional hernia OR: 4.5
β: 1.5 (0.2)
PPM016610 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Bacterial infection NOS OR: 2.0
β: 0.7 (0.1)
PPM016611 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Atrial fibrillation and flutter OR: 2.0
β: 0.7 (0.1)
PPM016612 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Osteoarthrosis, localized, primary OR: 2.2
β: 0.8 (0.1)
PPM016613 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Septicemia OR: 2.3
β: 0.8 (0.1)
PPM016614 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Other peripheral nerve disorders OR: 1.9
β: 0.6 (0.1)
PPM016615 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Chronic ulcer of leg or foot OR: 2.8
β: 1.0 (0.1)
PPM016617 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Wheezing OR: 2.6
β: 1.0 (0.1)
PPM016618 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Dependence on respirator [Ventilator] or supplemental oxygen OR: 4.6
β: 1.5 (0.2)
PPM016619 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Heart failure OR: 2.5
β: 0.9 (0.1)
PPM016620 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Swelling of limb OR: 1.8
β: 0.6 (0.1)
PPM016621 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Chronic airway obstruction OR: 1.9
β: 0.6 (0.1)
PPM016622 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Nephritis and nephropathy in diseases classified elsewhere OR: 3.8
β: 1.3 (0.2)
PPM016623 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Pulmonary congestion and hypostasis OR: 2.6
β: 0.9 (0.1)
PPM016624 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Arthropathy OR: 1.9
β: 0.6 (0.1)
PPM016625 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Vitamin D deficiency OR: 1.9
β: 0.6 (0.1)
PPM016626 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Respiratory abnormalities OR: 2.4
β: 0.9 (0.1)
PPM016627 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Chronic obstructive asthma OR: 3.4
β: 1.2 (0.2)
PPM016628 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Other arthropathies OR: 1.8
β: 0.6 (0.1)
PPM016629 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Angina pectoris OR: 2.0
β: 0.7 (0.1)
PPM016630 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Cellulitis and abscess of trunk OR: 3.1
β: 1.1 (0.2)
PPM016632 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Proteinuria OR: 2.8
β: 1.0 (0.1)
PPM016633 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Acquired acanthosis nigricans OR: 16.3
β: 2.8 (0.4)
PPM016634 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Primary/intrinsic cardiomyopathies OR: 2.2
β: 0.8 (0.1)
PPM016635 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Cirrhosis of liver without mention of alcohol OR: 4.0
β: 1.4 (0.2)
PPM016636 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Decubitus ulcer OR: 3.1
β: 1.1 (0.2)
PPM016637 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Iron deficiency anemias OR: 1.8
β: 0.6 (0.1)
PPM016638 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Chronic Kidney Disease, Stage III OR: 2.0
β: 0.7 (0.1)
PPM016639 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Other forms of chronic heart disease OR: 2.0
β: 0.7 (0.1)
PPM016640 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Cardiomyopathy OR: 2.1
β: 0.7 (0.1)
PPM016641 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Hypertensive heart disease OR: 2.1
β: 0.8 (0.1)
PPM016642 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Unstable angina (intermediate coronary syndrome) OR: 2.0
β: 0.7 (0.1)
PPM016643 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Spinal stenosis of lumbar region OR: 2.1
β: 0.7 (0.1)
PPM016644 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Hypoventilation OR: 3.7
β: 1.3 (0.2)
PPM016646 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Hypercholesterolemia OR: 1.6
β: 0.4 (0.1)
PPM016647 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Candidiasis of skin and nails OR: 3.8
β: 1.3 (0.2)
PPM016648 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Obstructive chronic bronchitis OR: 2.6
β: 1.0 (0.2)
PPM016650 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Type 1 diabetes with neurological manifestations OR: 4.6
β: 1.5 (0.2)
PPM016656 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Iron deficiency anemias, unspecified or not due to blood loss OR: 1.8
β: 0.6 (0.1)
PPM016657 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Umbilical hernia OR: 3.1
β: 1.1 (0.2)
PPM016658 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Polycystic ovaries OR: 7.0
β: 2.0 (0.3)
PPM016659 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Staphylococcus infections OR: 2.3
β: 0.8 (0.1)
PPM016660 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Paroxysmal ventricular tachycardia OR: 2.3
β: 0.8 (0.1)
PPM016661 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Other symptoms of respiratory system OR: 1.4
β: 0.4 (0.1)
PPM016662 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Acute bronchitis and bronchiolitis OR: 1.7
β: 0.5 (0.1)
PPM016663 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Abnormal function study of cardiovascular system OR: 2.0
β: 0.7 (0.1)
PPM016664 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Diseases of esophagus OR: 1.4
β: 0.4 (0.1)
PPM016666 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Osteomyelitis OR: 2.9
β: 1.1 (0.2)
PPM016667 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Nephritis and nephropathy without mention of glomerulonephritis OR: 2.4
β: 0.9 (0.2)
PPM016668 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Renal failure OR: 2.3
β: 0.8 (0.1)
PPM016669 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Other specified erythematous conditions OR: 2.6
β: 1.0 (0.2)
PPM016670 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Megaloblastic anemia OR: 3.2
β: 1.1 (0.2)
PPM016671 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Chronic bronchitis OR: 2.1
β: 0.8 (0.1)
PPM016672 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Hypothyroidism OR: 1.6
β: 0.5 (0.1)
PPM016673 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Portal hypertension OR: 4.8
β: 1.6 (0.3)
PPM016674 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Spinal stenosis OR: 1.8
β: 0.6 (0.1)
PPM016676 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Calcaneal spur; Exostosis OR: 2.2
β: 0.8 (0.1)
PPM016677 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Shock OR: 2.7
β: 1.0 (0.2)
PPM016678 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Primary pulmonary hypertension OR: 3.3
β: 1.2 (0.2)
PPM016680 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Bursitis OR: 2.1
β: 0.7 (0.1)
PPM016681 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Hyperglyceridemia OR: 2.2
β: 0.8 (0.1)
PPM016682 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Cardiac pacemaker/device in situ OR: 2.0
β: 0.7 (0.1)
PPM016683 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Cardiac defibrillator in situ OR: 2.6
β: 1.0 (0.2)
PPM016684 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Vitamin B-complex deficiencies OR: 2.3
β: 0.8 (0.2)
PPM016685 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Non-healing surgical wound OR: 4.6
β: 1.5 (0.3)
PPM016686 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Orthopnea OR: 5.7
β: 1.7 (0.3)
PPM016687 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Hypothyroidism OR: 1.5
β: 0.4 (0.1)
PPM016688 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Cholelithiasis with other cholecystitis OR: 2.6
β: 0.9 (0.2)
PPM016689 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Gastroesophageal reflux disease OR: 1.4
β: 0.3 (0.1)
PPM016690 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Intestinal malabsorption (non-celiac) OR: 3.2
β: 1.2 (0.2)
PPM016691 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Nephritis; nephrosis; renal sclerosis OR: 1.9
β: 0.7 (0.1)
PPM016692 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Benign neoplasm of adrenal gland OR: 6.1
β: 1.8 (0.3)
PPM016693 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Esophagitis, Gastroesophageal reflux disease and related diseases OR: 1.4
β: 0.3 (0.1)
PPM016694 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Osteomyelitis, periostitis, and other infections involving bone OR: 2.4
β: 0.9 (0.2)
PPM016695 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Infection/inflammation of internal prosthetic device; implant; and graft OR: 2.1
β: 0.8 (0.1)
PPM016696 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Ill-defined descriptions and complications of heart disease OR: 1.5
β: 0.4 (0.1)
PPM016697 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Cardiac conduction disorders OR: 1.5
β: 0.4 (0.1)
PPM016699 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Sleep disorders OR: 1.5
β: 0.4 (0.1)
PPM016700 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Acute pulmonary heart disease OR: 2.1
β: 0.7 (0.1)
PPM016701 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Cardiac pacemaker in situ OR: 2.0
β: 0.7 (0.1)
PPM016702 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Left bundle branch block OR: 2.2
β: 0.8 (0.2)
PPM016703 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Asthma with exacerbation OR: 2.1
β: 0.7 (0.2)
PPM016704 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Dermatophytosis OR: 1.5
β: 0.4 (0.1)
PPM016705 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Cellulitis and abscess of foot, toe OR: 2.5
β: 0.9 (0.2)
PPM016706 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Other vitamin B12 deficiency anemia OR: 3.4
β: 1.2 (0.3)
PPM016707 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Sinoatrial node dysfunction (Bradycardia) OR: 2.1
β: 0.7 (0.2)
PPM016708 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Malignant neoplasm of uterus OR: 3.9
β: 1.4 (0.3)
PPM016709 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Coagulation defects OR: 1.6
β: 0.5 (0.1)
PPM016711 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Intervertebral disc disorders OR: 1.4
β: 0.4 (0.1)
PPM016712 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Chronic venous hypertension OR: 6.1
β: 1.8 (0.4)
PPM016713 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Dermatophytosis of nail OR: 1.6
β: 0.5 (0.1)
PPM016714 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Chronic kidney disease, Stage I or II OR: 2.1
β: 0.8 (0.2)
PPM016715 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Phlebitis and thrombophlebitis OR: 1.9
β: 0.7 (0.1)
PPM016716 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Joint effusions OR: 1.6
β: 0.5 (0.1)
PPM016717 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Chronic ulcer of unspecified site OR: 2.3
β: 0.8 (0.2)
PPM016718 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Other deficiency anemia OR: 2.0
β: 0.7 (0.2)
PPM016719 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Hidradenitis OR: 6.4
β: 1.9 (0.4)
PPM016720 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Pain OR: 1.5
β: 0.4 (0.1)
PPM016721 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Difficulty in walking OR: 1.8
β: 0.6 (0.1)
PPM016722 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Dermatophytosis / Dermatomycosis OR: 1.4
β: 0.4 (0.1)
PPM016724 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Abdominal hernia OR: 1.4
β: 0.3 (0.1)
PPM016725 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Displacement of intervertebral disc OR: 1.6
β: 0.5 (0.1)
PPM016726 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Ovarian dysfunction OR: 3.3
β: 1.2 (0.3)
PPM016727 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Neuralgia, neuritis, and radiculitis OR: 1.8
β: 0.6 (0.1)
PPM016728 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Postphlebitic syndrome OR: 6.8
β: 1.9 (0.4)
PPM016729 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Nonspecific chest pain OR: 1.3
β: 0.3 (0.1)
PPM016730 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Varicose veins of lower extremity OR: 1.7
β: 0.5 (0.1)
PPM016731 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Complication of internal orthopedic device OR: 2.0
β: 0.7 (0.2)
PPM016732 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Pulmonary embolism and infarction, acute OR: 1.9
β: 0.7 (0.2)
PPM016733 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Other hypertensive complications OR: 1.8
β: 0.6 (0.1)
PPM016734 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Atrial flutter OR: 1.8
β: 0.6 (0.1)
PPM016736 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Athlete’s foot OR: 1.8
β: 0.6 (0.1)
PPM016737 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Cholecystitis without cholelithiasis OR: 2.2
β: 0.8 (0.2)
PPM016741 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Other local infections of skin and subcutaneous tissue OR: 1.7
β: 0.5 (0.1)
PPM016742 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Chronic pain OR: 1.6
β: 0.5 (0.1)
PPM016743 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Arrhythmia (cardiac) NOS OR: 1.4
β: 0.3 (0.1)
PPM016744 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Cardiac dysrhythmias OR: 1.3
β: 0.3 (0.1)
PPM016745 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Bronchitis OR: 1.5
β: 0.4 (0.1)
PPM016748 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Endometrial hyperplasia OR: 3.3
β: 1.2 (0.3)
PPM016750 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Nonrheumatic aortic valve disorders OR: 1.5
β: 0.4 (0.1)
PPM016751 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Cardiac arrest and ventricular fibrillation OR: 2.2
β: 0.8 (0.2)
PPM016752 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Dislocation OR: 1.6
β: 0.5 (0.1)
PPM016753 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Degeneration of intervertebral disc OR: 1.4
β: 0.3 (0.1)
PPM016754 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Barrett's esophagus OR: 2.6
β: 0.9 (0.2)
PPM016755 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Back pain OR: 1.3
β: 0.2 (0.1)
PPM016756 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Disorders of sweat glands OR: 2.5
β: 0.9 (0.2)
PPM016758 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Atherosclerotic cardiovascular disease OR: 2.0
β: 0.7 (0.2)
PPM016759 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Spondylosis and allied disorders OR: 1.3
β: 0.3 (0.1)
PPM016760 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Other abnormal blood chemistry OR: 1.4
β: 0.3 (0.1)
PPM016761 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Restless legs syndrome OR: 1.9
β: 0.7 (0.2)
PPM016762 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Synovitis and tenosynovitis OR: 1.5
β: 0.4 (0.1)
PPM016763 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Cardiac arrest OR: 2.4
β: 0.9 (0.2)
PPM016764 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Symptoms and disorders of the joints OR: 1.3
β: 0.3 (0.1)
PPM016765 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Methicillin resistant Staphylococcus aureus OR: 2.4
β: 0.9 (0.2)
PPM016766 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Hyperparathyroidism OR: 1.9
β: 0.7 (0.2)
PPM016767 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Varicose veins OR: 1.5
β: 0.4 (0.1)
PPM016768 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Spondylosis without myelopathy OR: 1.3
β: 0.3 (0.1)
PPM016770 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Arthropathy associated with other disorders classified elsewhere OR: 3.4
β: 1.2 (0.3)
PPM016771 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Internal derangement of knee OR: 1.5
β: 0.4 (0.1)
PPM016772 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Noninfectious disorders of lymphatic channels OR: 2.1
β: 0.7 (0.2)
PPM016773 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Chronic tonsillitis and adenoiditis OR: 2.2
β: 0.8 (0.2)
PPM016774 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Secondary/extrinsic cardiomyopathies OR: 1.9
β: 0.6 (0.2)
PPM016775 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Infective connective tissue disorders OR: 5.2
β: 1.6 (0.5)
PPM016776 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Other abnormal glucose OR: 1.3
β: 0.3 (0.1)
PPM016777 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Abnormal coagulation profile OR: 1.7
β: 0.5 (0.2)
PPM016778 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Elevated sedimentation rate OR: 2.3
β: 0.8 (0.3)
PPM016779 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Spondylosis with myelopathy OR: 2.0
β: 0.7 (0.2)
PPM016780 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Acquired foot deformities OR: 1.4
β: 0.3 (0.1)
PPM016781 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Adrenal hyperfunction OR: 3.0
β: 1.1 (0.3)
PPM016788 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Other disorders of pancreatic internal secretion OR: 2.3
β: 0.8 (0.3)
PPM016789 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Acute sinusitis OR: 1.3
β: 0.3 (0.1)
PPM016790 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Rupture of tendon, nontraumatic OR: 1.8
β: 0.6 (0.2)
PPM016791 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Hemorrhagic disorder due to intrinsic circulating anticoagulants OR: 2.2
β: 0.8 (0.3)
PPM016792 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Sciatica OR: 1.5
β: 0.4 (0.1)
PPM016793 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Urinary incontinence OR: 1.3
β: 0.3 (0.1)
PPM016794 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Postlaminectomy syndrome OR: 2.4
β: 0.9 (0.3)
PPM016795 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Dysthymic disorder OR: 1.4
β: 0.4 (0.1)
PPM016796 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Diverticulitis OR: 1.6
β: 0.5 (0.2)
PPM016798 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Precordial pain OR: 1.5
β: 0.4 (0.1)
PPM016799 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Cushing's syndrome OR: 3.7
β: 1.3 (0.4)
PPM016800 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Atrioventricular block OR: 1.4
β: 0.3 (0.1)
PPM016801 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Urinary calculus OR: 1.4
β: 0.3 (0.1)
PPM016802 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Hypersomnia OR: 1.8
β: 0.6 (0.2)
PPM016803 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Otitis externa OR: 1.5
β: 0.4 (0.1)
PPM016804 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Retinal edema OR: 2.2
β: 0.8 (0.3)
PPM016805 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Myopathy OR: 1.8
β: 0.6 (0.2)
PPM016806 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Cellulitis and abscess of fingers/toes OR: 1.5
β: 0.4 (0.1)
PPM016808 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Hirsutism OR: 2.4
β: 0.9 (0.3)
PPM016809 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Suppurative and unspecified otitis media OR: 1.4
β: 0.3 (0.1)
PPM016810 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Abnormal electrocardiogram OR: 1.3
β: 0.2 (0.1)
PPM016811 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Other disorders of soft tissues OR: 1.6
β: 0.5 (0.2)
PPM016812 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Psoriasis OR: 1.6
β: 0.5 (0.2)
PPM016813 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Diaphragmatic hernia OR: 1.3
β: 0.3 (0.1)
PPM016814 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Other symptoms involving abdomen and pelvis OR: 1.3
β: 0.3 (0.1)
PPM016815 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Other disorders of lipoid metabolism OR: 1.7
β: 0.5 (0.2)
PPM016816 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Intervertebral disc disorder with myelopathy OR: 2.3
β: 0.8 (0.3)
PPM016817 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Psoriasis vulgaris OR: 1.6
β: 0.5 (0.2)
PPM016818 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Otitis media OR: 1.3
β: 0.3 (0.1)
PPM016819 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Diabetes insipidus OR: 4.3
β: 1.5 (0.6)
PPM016820 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Pilonidal cyst OR: 3.7
β: 1.3 (0.5)
PPM016822 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Acquired spondylolisthesis OR: 1.6
β: 0.4 (0.2)
PPM016823 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Rotator cuff (capsule) sprain OR: 1.5
β: 0.4 (0.2)
PPM016824 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Posttraumatic stress disorder OR: 1.9
β: 0.6 (0.2)
PPM016825 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Other nondiabetic retinopathy OR: 1.7
β: 0.5 (0.2)
PPM016826 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Other alveolar and parietoalveolar pneumonopathy OR: 2.0
β: 0.7 (0.3)
PPM016827 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Peripheral enthesopathies and allied syndromes OR: 1.2
β: 0.2 (0.1)
PPM016828 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Major depressive disorder OR: 1.3
β: 0.3 (0.1)
PPM016829 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Personality disorders OR: 1.7
β: 0.5 (0.2)
PPM016843 PGS000027
(GPS_BMI)
PSS010096|
Multi-ancestry (including European)|
65,174 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Sleep disorders OR: 1.3
β: 0.3 (0.0)
PPM016844 PGS000027
(GPS_BMI)
PSS010096|
Multi-ancestry (including European)|
65,174 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Other peripheral nerve disorders OR: 1.2
β: 0.2 (0.0)
PPM016845 PGS000027
(GPS_BMI)
PSS010096|
Multi-ancestry (including European)|
65,174 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Cholelithiasis and cholecystitis OR: 1.2
β: 0.2 (0.0)
PPM016846 PGS000027
(GPS_BMI)
PSS010096|
Multi-ancestry (including European)|
65,174 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Osteoarthrosis OR: 1.2
β: 0.2 (0.0)
PPM016847 PGS000027
(GPS_BMI)
PSS010096|
Multi-ancestry (including European)|
65,174 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Other chronic ischemic heart disease, unspecified OR: 1.2
β: 0.2 (0.0)
PPM016848 PGS000027
(GPS_BMI)
PSS010096|
Multi-ancestry (including European)|
65,174 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Osteoarthrosis, localized, primary OR: 1.2
β: 0.2 (0.0)
PPM016849 PGS000027
(GPS_BMI)
PSS010096|
Multi-ancestry (including European)|
65,174 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Cholelithiasis OR: 1.2
β: 0.2 (0.0)
PPM016850 PGS000027
(GPS_BMI)
PSS010096|
Multi-ancestry (including European)|
65,174 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Chronic airway obstruction OR: 1.2
β: 0.2 (0.0)
PPM016851 PGS000027
(GPS_BMI)
PSS010096|
Multi-ancestry (including European)|
65,174 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Angina pectoris OR: 1.2
β: 0.2 (0.0)
PPM016852 PGS000027
(GPS_BMI)
PSS010096|
Multi-ancestry (including European)|
65,174 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Renal failure OR: 1.2
β: 0.1 (0.0)
PPM016854 PGS000027
(GPS_BMI)
PSS010096|
Multi-ancestry (including European)|
65,174 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Hypothyroidism OR: 1.1
β: 0.1 (0.0)
PPM016855 PGS000027
(GPS_BMI)
PSS010096|
Multi-ancestry (including European)|
65,174 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Cardiac dysrhythmias OR: 1.1
β: 0.1 (0.0)
PPM016856 PGS000027
(GPS_BMI)
PSS010096|
Multi-ancestry (including European)|
65,174 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Myocardial infarction OR: 1.2
β: 0.1 (0.0)
PPM016857 PGS000027
(GPS_BMI)
PSS010096|
Multi-ancestry (including European)|
65,174 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Coronary atherosclerosis OR: 1.1
β: 0.1 (0.0)
PPM016858 PGS000027
(GPS_BMI)
PSS010096|
Multi-ancestry (including European)|
65,174 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Atrial fibrillation and flutter OR: 1.1
β: 0.1 (0.0)
PPM016859 PGS000027
(GPS_BMI)
PSS010096|
Multi-ancestry (including European)|
65,174 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Osteoarthrosis, generalized OR: 1.2
β: 0.2 (0.0)
PPM016860 PGS000027
(GPS_BMI)
PSS010096|
Multi-ancestry (including European)|
65,174 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Chronic renal failure OR: 1.2
β: 0.2 (0.0)
PPM016861 PGS000027
(GPS_BMI)
PSS010096|
Multi-ancestry (including European)|
65,174 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Bacterial infection OR: 1.2
β: 0.2 (0.0)
PPM016863 PGS000027
(GPS_BMI)
PSS010096|
Multi-ancestry (including European)|
65,174 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Type 1 diabetes OR: 1.3
β: 0.3 (0.0)
PPM016864 PGS000027
(GPS_BMI)
PSS010096|
Multi-ancestry (including European)|
65,174 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Esophagitis, GERD and related diseases OR: 1.1
β: 0.1 (0.0)
PPM016865 PGS000027
(GPS_BMI)
PSS010096|
Multi-ancestry (including European)|
65,174 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Acute renal failure OR: 1.2
β: 0.1 (0.0)
PPM016866 PGS000027
(GPS_BMI)
PSS010096|
Multi-ancestry (including European)|
65,174 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Chronic ulcer of leg or foot OR: 1.5
β: 0.4 (0.0)
PPM016867 PGS000027
(GPS_BMI)
PSS010096|
Multi-ancestry (including European)|
65,174 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Diseases of esophagus OR: 1.1
β: 0.1 (0.0)
PPM016868 PGS000027
(GPS_BMI)
PSS010096|
Multi-ancestry (including European)|
65,174 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Cholelithiasis with other cholecystitis OR: 1.2
β: 0.2 (0.0)
PPM016869 PGS000027
(GPS_BMI)
PSS010096|
Multi-ancestry (including European)|
65,174 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Umbilical hernia OR: 1.2
β: 0.2 (0.0)
PPM016871 PGS000027
(GPS_BMI)
PSS010096|
Multi-ancestry (including European)|
65,174 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Shortness of breath OR: 1.2
β: 0.2 (0.0)
PPM016872 PGS000027
(GPS_BMI)
PSS010096|
Multi-ancestry (including European)|
65,174 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Other symptoms of respiratory system OR: 1.2
β: 0.1 (0.0)
PPM016873 PGS000027
(GPS_BMI)
PSS010096|
Multi-ancestry (including European)|
65,174 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Diaphragmatic hernia OR: 1.1
β: 0.1 (0.0)
PPM016874 PGS000027
(GPS_BMI)
PSS010096|
Multi-ancestry (including European)|
65,174 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Type 2 diabetes with neurological manifestations OR: 1.7
β: 0.5 (0.0)
PPM016875 PGS000027
(GPS_BMI)
PSS010096|
Multi-ancestry (including European)|
65,174 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Other disorders of intestine OR: 1.1
β: 0.1 (0.0)
PPM016876 PGS000027
(GPS_BMI)
PSS010096|
Multi-ancestry (including European)|
65,174 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Chronic ulcer of skin OR: 1.3
β: 0.2 (0.0)
PPM016877 PGS000027
(GPS_BMI)
PSS010096|
Multi-ancestry (including European)|
65,174 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Chronic liver disease and cirrhosis OR: 1.1
β: 0.1 (0.0)
PPM016878 PGS000027
(GPS_BMI)
PSS010096|
Multi-ancestry (including European)|
65,174 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Respiratory failure OR: 1.3
β: 0.2 (0.0)
PPM016879 PGS000027
(GPS_BMI)
PSS010096|
Multi-ancestry (including European)|
65,174 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Pulmonary heart disease OR: 1.2
β: 0.2 (0.0)
PPM016880 PGS000027
(GPS_BMI)
PSS010096|
Multi-ancestry (including European)|
65,174 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Chronic bronchitis OR: 1.2
β: 0.2 (0.0)
PPM016882 PGS000027
(GPS_BMI)
PSS010096|
Multi-ancestry (including European)|
65,174 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Unstable angina (intermediate coronary syndrome) OR: 1.2
β: 0.2 (0.0)
PPM016883 PGS000027
(GPS_BMI)
PSS010096|
Multi-ancestry (including European)|
65,174 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Major depressive disorder OR: 1.1
β: 0.1 (0.0)
PPM016884 PGS000027
(GPS_BMI)
PSS010096|
Multi-ancestry (including European)|
65,174 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Depression OR: 1.1
β: 0.1 (0.0)
PPM016885 PGS000027
(GPS_BMI)
PSS010096|
Multi-ancestry (including European)|
65,174 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Chronic Kidney Disease, Stage III OR: 1.2
β: 0.2 (0.0)
PPM016886 PGS000027
(GPS_BMI)
PSS010096|
Multi-ancestry (including European)|
65,174 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Heart failure NOS OR: 1.2
β: 0.2 (0.0)
PPM016887 PGS000027
(GPS_BMI)
PSS010096|
Multi-ancestry (including European)|
65,174 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Cardiomegaly OR: 1.2
β: 0.2 (0.0)
PPM016888 PGS000027
(GPS_BMI)
PSS010096|
Multi-ancestry (including European)|
65,174 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Obstructive chronic bronchitis OR: 1.2
β: 0.2 (0.0)
PPM016889 PGS000027
(GPS_BMI)
PSS010096|
Multi-ancestry (including European)|
65,174 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Diabetic retinopathy OR: 1.2
β: 0.2 (0.0)
PPM016981 PGS000027
(GPS_BMI)
PSS010096|
Multi-ancestry (including European)|
65,174 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Respiratory abnormalities OR: 1.2
β: 0.2 (0.0)
PPM016890 PGS000027
(GPS_BMI)
PSS010096|
Multi-ancestry (including European)|
65,174 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Other chronic nonalcoholic liver disease OR: 1.2
β: 0.2 (0.0)
PPM016891 PGS000027
(GPS_BMI)
PSS010096|
Multi-ancestry (including European)|
65,174 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Abdominal hernia OR: 1.1
β: 0.1 (0.0)
PPM016893 PGS000027
(GPS_BMI)
PSS010096|
Multi-ancestry (including European)|
65,174 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Gout OR: 1.2
β: 0.2 (0.0)
PPM016894 PGS000027
(GPS_BMI)
PSS010096|
Multi-ancestry (including European)|
65,174 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Type 2 diabetes with ophthalmic manifestations OR: 1.2
β: 0.2 (0.0)
PPM016895 PGS000027
(GPS_BMI)
PSS010096|
Multi-ancestry (including European)|
65,174 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Gout and other crystal arthropathies OR: 1.2
β: 0.2 (0.0)
PPM016896 PGS000027
(GPS_BMI)
PSS010096|
Multi-ancestry (including European)|
65,174 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: GERD OR: 1.1
β: 0.1 (0.0)
PPM016897 PGS000027
(GPS_BMI)
PSS010096|
Multi-ancestry (including European)|
65,174 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Postoperative infection OR: 1.2
β: 0.2 (0.0)
PPM016898 PGS000027
(GPS_BMI)
PSS010096|
Multi-ancestry (including European)|
65,174 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Iron deficiency anemias OR: 1.1
β: 0.1 (0.0)
PPM016899 PGS000027
(GPS_BMI)
PSS010096|
Multi-ancestry (including European)|
65,174 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Staphylococcus infections OR: 1.2
β: 0.2 (0.0)
PPM016900 PGS000027
(GPS_BMI)
PSS010096|
Multi-ancestry (including European)|
65,174 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Spondylosis and allied disorders OR: 1.1
β: 0.1 (0.0)
PPM016901 PGS000027
(GPS_BMI)
PSS010096|
Multi-ancestry (including European)|
65,174 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Ventral hernia OR: 1.2
β: 0.2 (0.0)
PPM016902 PGS000027
(GPS_BMI)
PSS010096|
Multi-ancestry (including European)|
65,174 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Mood disorders OR: 1.1
β: 0.1 (0.0)
PPM016903 PGS000027
(GPS_BMI)
PSS010096|
Multi-ancestry (including European)|
65,174 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Edema OR: 1.3
β: 0.2 (0.0)
PPM016904 PGS000027
(GPS_BMI)
PSS010096|
Multi-ancestry (including European)|
65,174 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Spondylosis without myelopathy OR: 1.1
β: 0.1 (0.0)
PPM016905 PGS000027
(GPS_BMI)
PSS010096|
Multi-ancestry (including European)|
65,174 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Intervertebral disc disorders OR: 1.1
β: 0.1 (0.0)
PPM016906 PGS000027
(GPS_BMI)
PSS010096|
Multi-ancestry (including European)|
65,174 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Congestive heart failure OR: 1.3
β: 0.2 (0.0)
PPM016908 PGS000027
(GPS_BMI)
PSS010096|
Multi-ancestry (including European)|
65,174 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Acute pulmonary heart disease OR: 1.2
β: 0.2 (0.0)
PPM016909 PGS000027
(GPS_BMI)
PSS010096|
Multi-ancestry (including European)|
65,174 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Cholecystitis without cholelithiasis OR: 1.2
β: 0.2 (0.0)
PPM016910 PGS000027
(GPS_BMI)
PSS010096|
Multi-ancestry (including European)|
65,174 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Diabetes type 2 with peripheral circulatory disorders OR: 1.6
β: 0.5 (0.1)
PPM016911 PGS000027
(GPS_BMI)
PSS010096|
Multi-ancestry (including European)|
65,174 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Psoriasis OR: 1.2
β: 0.2 (0.0)
PPM016912 PGS000027
(GPS_BMI)
PSS010096|
Multi-ancestry (including European)|
65,174 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Other disorders of synovium, tendon, and bursa OR: 1.1
β: 0.1 (0.0)
PPM016913 PGS000027
(GPS_BMI)
PSS010096|
Multi-ancestry (including European)|
65,174 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Spinal stenosis OR: 1.2
β: 0.1 (0.0)
PPM016914 PGS000027
(GPS_BMI)
PSS010096|
Multi-ancestry (including European)|
65,174 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Psoriasis vulgaris OR: 1.2
β: 0.2 (0.0)
PPM016915 PGS000027
(GPS_BMI)
PSS010096|
Multi-ancestry (including European)|
65,174 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Rheumatoid arthritis and other inflammatory polyarthropathies OR: 1.2
β: 0.2 (0.0)
PPM016916 PGS000027
(GPS_BMI)
PSS010096|
Multi-ancestry (including European)|
65,174 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Precordial pain OR: 1.2
β: 0.1 (0.0)
PPM016917 PGS000027
(GPS_BMI)
PSS010096|
Multi-ancestry (including European)|
65,174 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Nonspecific chest pain OR: 1.2
β: 0.1 (0.0)
PPM016918 PGS000027
(GPS_BMI)
PSS010096|
Multi-ancestry (including European)|
65,174 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Back pain OR: 1.1
β: 0.1 (0.0)
PPM016919 PGS000027
(GPS_BMI)
PSS010096|
Multi-ancestry (including European)|
65,174 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Nonrheumatic aortic valve disorders OR: 1.2
β: 0.2 (0.0)
PPM016922 PGS000027
(GPS_BMI)
PSS010096|
Multi-ancestry (including European)|
65,174 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Degeneration of intervertebral disc OR: 1.2
β: 0.1 (0.0)
PPM016923 PGS000027
(GPS_BMI)
PSS010096|
Multi-ancestry (including European)|
65,174 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Symptoms and disorders of the joints OR: 1.1
β: 0.1 (0.0)
PPM016924 PGS000027
(GPS_BMI)
PSS010096|
Multi-ancestry (including European)|
65,174 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Septicemia OR: 1.1
β: 0.1 (0.0)
PPM016926 PGS000027
(GPS_BMI)
PSS010096|
Multi-ancestry (including European)|
65,174 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Peritoneal adhesions (postoperative) (postinfection) OR: 1.1
β: 0.1 (0.0)
PPM016927 PGS000027
(GPS_BMI)
PSS010096|
Multi-ancestry (including European)|
65,174 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Other local infections of skin and subcutaneous tissue OR: 1.2
β: 0.2 (0.0)
PPM016928 PGS000027
(GPS_BMI)
PSS010096|
Multi-ancestry (including European)|
65,174 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Superficial cellulitis and abscess OR: 1.2
β: 0.2 (0.0)
PPM016929 PGS000027
(GPS_BMI)
PSS010096|
Multi-ancestry (including European)|
65,174 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Hypertensive chronic kidney disease OR: 1.2
β: 0.2 (0.0)
PPM016930 PGS000027
(GPS_BMI)
PSS010096|
Multi-ancestry (including European)|
65,174 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Varicose veins of lower extremity OR: 1.1
β: 0.1 (0.0)
PPM016931 PGS000027
(GPS_BMI)
PSS010096|
Multi-ancestry (including European)|
65,174 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Phlebitis and thrombophlebitis OR: 1.2
β: 0.2 (0.0)
PPM016932 PGS000027
(GPS_BMI)
PSS010096|
Multi-ancestry (including European)|
65,174 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Varicose veins OR: 1.1
β: 0.1 (0.0)
PPM016933 PGS000027
(GPS_BMI)
PSS010096|
Multi-ancestry (including European)|
65,174 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Urinary incontinence OR: 1.1
β: 0.1 (0.0)
PPM016935 PGS000027
(GPS_BMI)
PSS010096|
Multi-ancestry (including European)|
65,174 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Hypoventilation OR: 2.0
β: 0.7 (0.1)
PPM016936 PGS000027
(GPS_BMI)
PSS010096|
Multi-ancestry (including European)|
65,174 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Liver abscess and sequelae of chronic liver disease OR: 1.1
β: 0.1 (0.0)
PPM016937 PGS000027
(GPS_BMI)
PSS010096|
Multi-ancestry (including European)|
65,174 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Other forms of chronic heart disease OR: 1.2
β: 0.1 (0.0)
PPM016938 PGS000027
(GPS_BMI)
PSS010096|
Multi-ancestry (including European)|
65,174 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Disorders of sweat glands OR: 1.3
β: 0.3 (0.0)
PPM016939 PGS000027
(GPS_BMI)
PSS010096|
Multi-ancestry (including European)|
65,174 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Cardiac conduction disorders OR: 1.1
β: 0.1 (0.0)
PPM016940 PGS000027
(GPS_BMI)
PSS010096|
Multi-ancestry (including European)|
65,174 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Hidradenitis OR: 1.7
β: 0.5 (0.1)
PPM016941 PGS000027
(GPS_BMI)
PSS010096|
Multi-ancestry (including European)|
65,174 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Noninfectious disorders of lymphatic channels OR: 1.3
β: 0.2 (0.0)
PPM016942 PGS000027
(GPS_BMI)
PSS010096|
Multi-ancestry (including European)|
65,174 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Other deficiency anemia OR: 1.2
β: 0.2 (0.0)
PPM016943 PGS000027
(GPS_BMI)
PSS010096|
Multi-ancestry (including European)|
65,174 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Megaloblastic anemia OR: 1.2
β: 0.2 (0.0)
PPM016944 PGS000027
(GPS_BMI)
PSS010096|
Multi-ancestry (including European)|
65,174 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Varicose veins of lower extremity, symptomtic OR: 1.3
β: 0.2 (0.0)
PPM016945 PGS000027
(GPS_BMI)
PSS010096|
Multi-ancestry (including European)|
65,174 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Chronic pulmonary heart disease OR: 1.2
β: 0.2 (0.0)
PPM016946 PGS000027
(GPS_BMI)
PSS010096|
Multi-ancestry (including European)|
65,174 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Calcaneal spur; Exostosis NOS OR: 1.3
β: 0.2 (0.0)
PPM016948 PGS000027
(GPS_BMI)
PSS010096|
Multi-ancestry (including European)|
65,174 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Cardiomyopathy OR: 1.2
β: 0.2 (0.0)
PPM016949 PGS000027
(GPS_BMI)
PSS010096|
Multi-ancestry (including European)|
65,174 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Displacement of intervertebral disc OR: 1.1
β: 0.1 (0.0)
PPM016950 PGS000027
(GPS_BMI)
PSS010096|
Multi-ancestry (including European)|
65,174 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Urinary calculus OR: 1.1
β: 0.1 (0.0)
PPM016951 PGS000027
(GPS_BMI)
PSS010096|
Multi-ancestry (including European)|
65,174 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Primary/intrinsic cardiomyopathies OR: 1.2
β: 0.2 (0.0)
PPM016952 PGS000027
(GPS_BMI)
PSS010096|
Multi-ancestry (including European)|
65,174 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Rupture of tendon, nontraumatic OR: 1.1
β: 0.1 (0.0)
PPM016953 PGS000027
(GPS_BMI)
PSS010096|
Multi-ancestry (including European)|
65,174 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Abnormal glucose OR: 1.3
β: 0.2 (0.0)
PPM016954 PGS000027
(GPS_BMI)
PSS010096|
Multi-ancestry (including European)|
65,174 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Vitamin deficiency OR: 1.1
β: 0.1 (0.0)
PPM016955 PGS000027
(GPS_BMI)
PSS010096|
Multi-ancestry (including European)|
65,174 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Other disorders of pancreatic internal secretion OR: 1.2
β: 0.2 (0.0)
PPM016956 PGS000027
(GPS_BMI)
PSS010096|
Multi-ancestry (including European)|
65,174 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Other specified erythematous conditions OR: 1.2
β: 0.2 (0.0)
PPM016957 PGS000027
(GPS_BMI)
PSS010096|
Multi-ancestry (including European)|
65,174 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Hypoglycemia OR: 1.2
β: 0.2 (0.0)
PPM016958 PGS000027
(GPS_BMI)
PSS010096|
Multi-ancestry (including European)|
65,174 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Synovitis and tenosynovitis OR: 1.1
β: 0.1 (0.0)
PPM016959 PGS000027
(GPS_BMI)
PSS010096|
Multi-ancestry (including European)|
65,174 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Sciatica OR: 1.2
β: 0.2 (0.0)
PPM016961 PGS000027
(GPS_BMI)
PSS010096|
Multi-ancestry (including European)|
65,174 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Incisional hernia OR: 1.4
β: 0.4 (0.1)
PPM016962 PGS000027
(GPS_BMI)
PSS010096|
Multi-ancestry (including European)|
65,174 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Vitamin B-complex deficiencies OR: 1.2
β: 0.2 (0.0)
PPM016963 PGS000027
(GPS_BMI)
PSS010096|
Multi-ancestry (including European)|
65,174 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Fluid overload OR: 1.3
β: 0.2 (0.0)
PPM016964 PGS000027
(GPS_BMI)
PSS010096|
Multi-ancestry (including European)|
65,174 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Renal failure NOS OR: 1.2
β: 0.2 (0.0)
PPM016965 PGS000027
(GPS_BMI)
PSS010096|
Multi-ancestry (including European)|
65,174 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Acquired foot deformities OR: 1.1
β: 0.1 (0.0)
PPM016966 PGS000027
(GPS_BMI)
PSS010096|
Multi-ancestry (including European)|
65,174 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Ingrowing nail OR: 1.2
β: 0.2 (0.0)
PPM016967 PGS000027
(GPS_BMI)
PSS010096|
Multi-ancestry (including European)|
65,174 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Acquired spondylolisthesis OR: 1.2
β: 0.1 (0.0)
PPM016968 PGS000027
(GPS_BMI)
PSS010096|
Multi-ancestry (including European)|
65,174 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Malignant neoplasm of uterus OR: 1.2
β: 0.1 (0.0)
PPM016969 PGS000027
(GPS_BMI)
PSS010096|
Multi-ancestry (including European)|
65,174 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Other alveolar and parietoalveolar pneumonopathy OR: 1.3
β: 0.3 (0.1)
PPM016970 PGS000027
(GPS_BMI)
PSS010096|
Multi-ancestry (including European)|
65,174 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Nephritis; nephrosis; renal sclerosis OR: 1.1
β: 0.1 (0.0)
PPM016971 PGS000027
(GPS_BMI)
PSS010096|
Multi-ancestry (including European)|
65,174 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Bundle branch block OR: 1.1
β: 0.1 (0.0)
PPM016972 PGS000027
(GPS_BMI)
PSS010096|
Multi-ancestry (including European)|
65,174 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Atrioventricular block OR: 1.1
β: 0.1 (0.0)
PPM016973 PGS000027
(GPS_BMI)
PSS010096|
Multi-ancestry (including European)|
65,174 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Otitis externa OR: 1.2
β: 0.2 (0.0)
PPM016975 PGS000027
(GPS_BMI)
PSS010096|
Multi-ancestry (including European)|
65,174 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Difficulty in walking OR: 1.4
β: 0.4 (0.1)
PPM016976 PGS000027
(GPS_BMI)
PSS010096|
Multi-ancestry (including European)|
65,174 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Pulmonary collapse; interstitial and compensatory emphysema OR: 1.1
β: 0.1 (0.0)
PPM016977 PGS000027
(GPS_BMI)
PSS010096|
Multi-ancestry (including European)|
65,174 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Cirrhosis of liver without mention of alcohol OR: 1.2
β: 0.2 (0.0)
PPM016978 PGS000027
(GPS_BMI)
PSS010096|
Multi-ancestry (including European)|
65,174 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Decubitus ulcer OR: 1.2
β: 0.1 (0.0)
PPM016979 PGS000027
(GPS_BMI)
PSS010096|
Multi-ancestry (including European)|
65,174 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Cellulitis and abscess of trunk OR: 1.2
β: 0.2 (0.0)
PPM016982 PGS000027
(GPS_BMI)
PSS010096|
Multi-ancestry (including European)|
65,174 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Polycystic ovaries OR: 1.4
β: 0.3 (0.1)
PPM016984 PGS000027
(GPS_BMI)
PSS010096|
Multi-ancestry (including European)|
65,174 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Chronic venous insufficiency OR: 1.3
β: 0.3 (0.1)
PPM016985 PGS000027
(GPS_BMI)
PSS010096|
Multi-ancestry (including European)|
65,174 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Other venous embolism and thrombosis OR: 1.2
β: 0.2 (0.0)
PPM016986 PGS000027
(GPS_BMI)
PSS010096|
Multi-ancestry (including European)|
65,174 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Mixed hyperlipidemia OR: 1.4
β: 0.4 (0.1)
PPM016987 PGS000027
(GPS_BMI)
PSS010096|
Multi-ancestry (including European)|
65,174 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Other disorders of the kidney and ureters OR: 1.1
β: 0.1 (0.0)
PPM016988 PGS000027
(GPS_BMI)
PSS010096|
Multi-ancestry (including European)|
65,174 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Barrett's esophagus OR: 1.1
β: 0.1 (0.0)
PPM016989 PGS000027
(GPS_BMI)
PSS010096|
Multi-ancestry (including European)|
65,174 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Other abnormal blood chemistry OR: 1.2
β: 0.2 (0.1)
PPM016990 PGS000027
(GPS_BMI)
PSS010096|
Multi-ancestry (including European)|
65,174 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Other arthropathies OR: 1.1
β: 0.1 (0.0)
PPM016991 PGS000027
(GPS_BMI)
PSS010096|
Multi-ancestry (including European)|
65,174 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Other abnormal glucose OR: 1.2
β: 0.2 (0.1)
PPM016992 PGS000027
(GPS_BMI)
PSS010096|
Multi-ancestry (including European)|
65,174 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Complication of internal orthopedic device OR: 1.3
β: 0.2 (0.1)
PPM016993 PGS000027
(GPS_BMI)
PSS010096|
Multi-ancestry (including European)|
65,174 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Other disorders of soft tissues OR: 1.1
β: 0.1 (0.0)
PPM016994 PGS000027
(GPS_BMI)
PSS010096|
Multi-ancestry (including European)|
65,174 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Pilonidal cyst OR: 1.2
β: 0.2 (0.1)
PPM016996 PGS000027
(GPS_BMI)
PSS010096|
Multi-ancestry (including European)|
65,174 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Localized adiposity OR: 1.6
β: 0.5 (0.1)
PPM016997 PGS000027
(GPS_BMI)
PSS010096|
Multi-ancestry (including European)|
65,174 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Benign neoplasm of other endocrine glands and related structures OR: 1.1
β: 0.1 (0.0)
PPM016998 PGS000027
(GPS_BMI)
PSS010096|
Multi-ancestry (including European)|
65,174 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Cardiac arrest and ventricular fibrillation OR: 1.1
β: 0.1 (0.0)
PPM016999 PGS000027
(GPS_BMI)
PSS010096|
Multi-ancestry (including European)|
65,174 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Ovarian dysfunction OR: 1.3
β: 0.2 (0.1)
PPM017000 PGS000027
(GPS_BMI)
PSS010096|
Multi-ancestry (including European)|
65,174 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Swelling of limb OR: 1.3
β: 0.3 (0.1)
PPM017001 PGS000027
(GPS_BMI)
PSS010096|
Multi-ancestry (including European)|
65,174 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Type 1 diabetes with neurological manifestations OR: 1.3
β: 0.3 (0.1)
PPM017002 PGS000027
(GPS_BMI)
PSS010096|
Multi-ancestry (including European)|
65,174 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Diabetes type 1 with peripheral circulatory disorders OR: 1.5
β: 0.4 (0.1)
PPM017003 PGS000027
(GPS_BMI)
PSS010096|
Multi-ancestry (including European)|
65,174 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Benign neoplasm of adrenal gland OR: 1.3
β: 0.3 (0.1)
PPM017004 PGS000027
(GPS_BMI)
PSS010096|
Multi-ancestry (including European)|
65,174 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Wheezing OR: 1.2
β: 0.2 (0.1)
PPM017005 PGS000027
(GPS_BMI)
PSS010096|
Multi-ancestry (including European)|
65,174 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Disorders of adrenal glands OR: 1.1
β: 0.1 (0.0)
PPM017006 PGS000027
(GPS_BMI)
PSS010096|
Multi-ancestry (including European)|
65,174 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Portal hypertension OR: 1.2
β: 0.1 (0.0)
PPM017007 PGS000027
(GPS_BMI)
PSS010096|
Multi-ancestry (including European)|
65,174 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Osteomyelitis OR: 1.2
β: 0.2 (0.1)
PPM017008 PGS000027
(GPS_BMI)
PSS010096|
Multi-ancestry (including European)|
65,174 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Suppurative and unspecified otitis media OR: 1.1
β: 0.1 (0.0)
PPM017009 PGS000027
(GPS_BMI)
PSS010096|
Multi-ancestry (including European)|
65,174 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Osteomyelitis, periostitis, and other infections involving bone OR: 1.2
β: 0.2 (0.1)
PPM017010 PGS000027
(GPS_BMI)
PSS010096|
Multi-ancestry (including European)|
65,174 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Cardiac arrest OR: 1.2
β: 0.2 (0.1)
PPM017011 PGS000027
(GPS_BMI)
PSS010096|
Multi-ancestry (including European)|
65,174 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Endometrial hyperplasia OR: 1.1
β: 0.1 (0.0)
PPM017012 PGS000027
(GPS_BMI)
PSS010096|
Multi-ancestry (including European)|
65,174 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Left bundle branch block OR: 1.1
β: 0.1 (0.0)
PPM017013 PGS000027
(GPS_BMI)
PSS010096|
Multi-ancestry (including European)|
65,174 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Acute and chronic tonsillitis OR: 1.1
β: 0.1 (0.0)
PPM017014 PGS000027
(GPS_BMI)
PSS010096|
Multi-ancestry (including European)|
65,174 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Arthropathy associated with neurological disorders OR: 1.5
β: 0.4 (0.1)
PPM017015 PGS000027
(GPS_BMI)
PSS010096|
Multi-ancestry (including European)|
65,174 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Otitis media OR: 1.1
β: 0.1 (0.0)
PPM017016 PGS000027
(GPS_BMI)
PSS010096|
Multi-ancestry (including European)|
65,174 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Atrial fibrillation OR: 1.1
β: 0.1 (0.0)
PPM017017 PGS000027
(GPS_BMI)
PSS010096|
Multi-ancestry (including European)|
65,174 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Sinoatrial node dysfunction (Bradycardia) OR: 1.1
β: 0.1 (0.1)
PPM017018 PGS000027
(GPS_BMI)
PSS010096|
Multi-ancestry (including European)|
65,174 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Cancer of kidney and renal pelvis OR: 1.1
β: 0.1 (0.0)
PPM017019 PGS000027
(GPS_BMI)
PSS010096|
Multi-ancestry (including European)|
65,174 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Infective connective tissue disorders OR: 1.4
β: 0.3 (0.1)
PPM017020 PGS000027
(GPS_BMI)
PSS010096|
Multi-ancestry (including European)|
65,174 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Other symptoms involving abdomen and pelvis OR: 1.0
β: 0.0 (0.0)
PPM017021 PGS000027
(GPS_BMI)
PSS010096|
Multi-ancestry (including European)|
65,174 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Bronchitis OR: 1.1
β: 0.1 (0.0)
PPM017022 PGS000027
(GPS_BMI)
PSS010096|
Multi-ancestry (including European)|
65,174 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Chronic tonsillitis and adenoiditis OR: 1.1
β: 0.1 (0.0)
PPM017024 PGS000027
(GPS_BMI)
PSS010096|
Multi-ancestry (including European)|
65,174 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Flat foot OR: 1.2
β: 0.2 (0.1)
PPM017025 PGS000027
(GPS_BMI)
PSS010096|
Multi-ancestry (including European)|
65,174 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Myopathy OR: 1.2
β: 0.2 (0.1)
PPM017026 PGS000027
(GPS_BMI)
PSS010096|
Multi-ancestry (including European)|
65,174 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Gouty arthropathy OR: 1.2
β: 0.2 (0.1)
PPM017027 PGS000027
(GPS_BMI)
PSS010096|
Multi-ancestry (including European)|
65,174 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Bariatric surgery OR: 1.6
β: 0.4 (0.2)
PPM017028 PGS000027
(GPS_BMI)
PSS010096|
Multi-ancestry (including European)|
65,174 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Coagulation defects OR: 1.1
β: 0.1 (0.0)
PPM016534 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Overweight, obesity and other hyperalimentation OR: 16.4
β: 2.8 (0.1)
PPM016547 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Gastrointestinal complications OR: 12.3
β: 2.5 (0.1)
PPM016558 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Congestive heart failure (CHF) NOS OR: 2.9
β: 1.1 (0.1)
PPM016569 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Abnormal weight gain OR: 3.8
β: 1.3 (0.1)
PPM016576 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Cellulitis and abscess of leg, except foot OR: 3.2
β: 1.2 (0.1)
PPM016580 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Chronic renal failure [ OR: 2.2
β: 0.8 (0.1)
PPM016581 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Hypertensive chronic kidney disease OR: 2.4
β: 0.9 (0.1)
PPM016594 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Heart failure with reduced ejection fraction [Systolic or combined heart failure] OR: 3.0
β: 1.1 (0.1)
PPM016606 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Other chronic ischemic heart disease, unspecified OR: 2.2
β: 0.8 (0.1)
PPM016616 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Encounter for long-term (current) use of anticoagulants, antithrombotics, aspirin OR: 2.1
β: 0.7 (0.1)
PPM016631 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Encounter for long-term (current) use of aspirin OR: 2.1
β: 0.7 (0.1)
PPM016645 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Chronic Kidney Disease, Stage IV OR: 2.7
β: 1.0 (0.2)
PPM016654 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Liver abscess and sequelae of chronic liver disease OR: 3.7
β: 1.3 (0.2)
PPM016665 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Peritoneal adhesions (postoperative) (postinfection) OR: 3.2
β: 1.2 (0.2)
PPM016675 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Bundle branch block OR: 1.9
β: 0.7 (0.1)
PPM016679 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Osteoarthrosis involving more than one site, but not specified as generalized OR: 2.5
β: 0.9 (0.2)
PPM016698 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Arthropathy associated with neurological disorders OR: 8.6
β: 2.2 (0.4)
PPM016710 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Hereditary and idiopathic peripheral neuropathy OR: 1.7
β: 0.5 (0.1)
PPM016723 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Thoracic or lumbosacral neuritis or radiculitis, unspecified OR: 1.6
β: 0.5 (0.1)
PPM016735 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Varicose veins of lower extremity, symptomatic OR: 1.9
β: 0.7 (0.2)
PPM016749 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Phlebitis and thrombophlebitis of lower extremities OR: 2.0
β: 0.7 (0.2)
PPM016757 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Sleep related movement disorders OR: 1.8
β: 0.6 (0.2)
PPM016769 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Other disorders of synovium, tendon, and bursa OR: 1.3
β: 0.3 (0.1)
PPM016782 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Diabetes type 1 with peripheral circulatory disorders OR: 3.9
β: 1.4 (0.4)
PPM016797 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Cancer of kidney and renal pelvis OR: 1.9
β: 0.7 (0.2)
PPM016807 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Benign neoplasm of other endocrine glands and related structures OR: 1.7
β: 0.6 (0.2)
PPM016821 PGS000027
(GPS_BMI)
PSS010097|
Multi-ancestry (including European)|
405,432 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Rheumatoid arthritis and other inflammatory polyarthropathies OR: 1.4
β: 0.3 (0.1)
PPM016834 PGS000027
(GPS_BMI)
PSS010096|
Multi-ancestry (including European)|
65,174 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Overweight, obesity and other hyperalimentation OR: 1.8
β: 0.6 (0.0)
PPM016842 PGS000027
(GPS_BMI)
PSS010096|
Multi-ancestry (including European)|
65,174 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Ischemic Heart Disease OR: 1.2
β: 0.1 (0.0)
PPM016853 PGS000027
(GPS_BMI)
PSS010096|
Multi-ancestry (including European)|
65,174 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Hypothyroidism NOS OR: 1.2
β: 0.1 (0.0)
PPM016862 PGS000027
(GPS_BMI)
PSS010096|
Multi-ancestry (including European)|
65,174 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Internal derangement of knee OR: 1.1
β: 0.1 (0.0)
PPM016870 PGS000027
(GPS_BMI)
PSS010096|
Multi-ancestry (including European)|
65,174 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Congestive heart failure; nonhypertensive OR: 1.2
β: 0.2 (0.0)
PPM016881 PGS000027
(GPS_BMI)
PSS010096|
Multi-ancestry (including European)|
65,174 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Respiratory failure, insufficiency, arrest OR: 1.3
β: 0.2 (0.0)
PPM016892 PGS000027
(GPS_BMI)
PSS010096|
Multi-ancestry (including European)|
65,174 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Iron deficiency anemias, unspecified or not due to blood loss OR: 1.1
β: 0.1 (0.0)
PPM016907 PGS000027
(GPS_BMI)
PSS010096|
Multi-ancestry (including European)|
65,174 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Pulmonary embolism and infarction, acute OR: 1.2
β: 0.2 (0.0)
PPM016920 PGS000027
(GPS_BMI)
PSS010096|
Multi-ancestry (including European)|
65,174 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Peripheral enthesopathies and allied syndromes OR: 1.1
β: 0.1 (0.0)
PPM016921 PGS000027
(GPS_BMI)
PSS010096|
Multi-ancestry (including European)|
65,174 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Spinal stenosis of lumbar region OR: 1.2
β: 0.1 (0.0)
PPM016925 PGS000027
(GPS_BMI)
PSS010096|
Multi-ancestry (including European)|
65,174 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Hypertensive heart and/or renal disease OR: 1.2
β: 0.2 (0.0)
PPM016934 PGS000027
(GPS_BMI)
PSS010096|
Multi-ancestry (including European)|
65,174 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Phlebitis and thrombophlebitis of lower extremities OR: 1.3
β: 0.2 (0.0)
PPM016947 PGS000027
(GPS_BMI)
PSS010096|
Multi-ancestry (including European)|
65,174 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Thoracic or lumbosacral neuritis or radiculitis, unspecified OR: 1.1
β: 0.1 (0.0)
PPM016960 PGS000027
(GPS_BMI)
PSS010096|
Multi-ancestry (including European)|
65,174 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Type 2 diabetes with renal manifestations OR: 1.4
β: 0.3 (0.1)
PPM016974 PGS000027
(GPS_BMI)
PSS010096|
Multi-ancestry (including European)|
65,174 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Primary pulmonary hypertension OR: 1.3
β: 0.2 (0.1)
PPM016983 PGS000027
(GPS_BMI)
PSS010096|
Multi-ancestry (including European)|
65,174 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Chronic Kidney Disease, Stage IV OR: 1.2
β: 0.2 (0.1)
PPM016995 PGS000027
(GPS_BMI)
PSS010096|
Multi-ancestry (including European)|
65,174 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Hereditary and idiopathic peripheral neuropathy OR: 1.2
β: 0.2 (0.1)
PPM017023 PGS000027
(GPS_BMI)
PSS010096|
Multi-ancestry (including European)|
65,174 individuals
PGP000416 |
Robinson JR et al. Obesity (Silver Spring) (2022)
|Ext.
Reported Trait: Cellulitis and abscess of fingers/toes OR: 1.1
β: 0.1 (0.0)
PPM014199 PGS002581
(body_BMIz.P+T.5e-08)
PSS009696|
East Asian Ancestry|
916 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: BMI Incremental R2 (full model vs. covariates alone): 0.0084 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM013078 PGS002313
(body_BMIz.BOLT-LMM)
PSS009695|
African Ancestry|
6,399 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: BMI Incremental R2 (full model vs. covariates alone): 0.032 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM013127 PGS002313
(body_BMIz.BOLT-LMM)
PSS009696|
East Asian Ancestry|
916 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: BMI Incremental R2 (full model vs. covariates alone): 0.06 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM013176 PGS002313
(body_BMIz.BOLT-LMM)
PSS009697|
European Ancestry|
43,328 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: BMI Incremental R2 (full model vs. covariates alone): 0.1326 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM013225 PGS002313
(body_BMIz.BOLT-LMM)
PSS009698|
South Asian Ancestry|
7,911 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: BMI Incremental R2 (full model vs. covariates alone): 0.082 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM013272 PGS002360
(body_BMIz.BOLT-LMM-BBJ)
PSS009695|
African Ancestry|
6,399 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: BMI Incremental R2 (full model vs. covariates alone): 0.0005 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM013295 PGS002360
(body_BMIz.BOLT-LMM-BBJ)
PSS009696|
East Asian Ancestry|
916 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: BMI Incremental R2 (full model vs. covariates alone): 0.0397 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM013318 PGS002360
(body_BMIz.BOLT-LMM-BBJ)
PSS009697|
European Ancestry|
43,328 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: BMI Incremental R2 (full model vs. covariates alone): 0.0056 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM013341 PGS002360
(body_BMIz.BOLT-LMM-BBJ)
PSS009698|
South Asian Ancestry|
7,911 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: BMI Incremental R2 (full model vs. covariates alone): 0.0109 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM013366 PGS002385
(body_BMIz.P+T.0.0001)
PSS009695|
African Ancestry|
6,399 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: BMI Incremental R2 (full model vs. covariates alone): 0.0003 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM013415 PGS002385
(body_BMIz.P+T.0.0001)
PSS009696|
East Asian Ancestry|
916 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: BMI Incremental R2 (full model vs. covariates alone): 0.0285 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM013464 PGS002385
(body_BMIz.P+T.0.0001)
PSS009697|
European Ancestry|
43,328 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: BMI Incremental R2 (full model vs. covariates alone): 0.0584 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM013513 PGS002385
(body_BMIz.P+T.0.0001)
PSS009698|
South Asian Ancestry|
7,911 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: BMI Incremental R2 (full model vs. covariates alone): 0.0341 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM013611 PGS002434
(body_BMIz.P+T.0.001)
PSS009696|
East Asian Ancestry|
916 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: BMI Incremental R2 (full model vs. covariates alone): 0.0236 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM013660 PGS002434
(body_BMIz.P+T.0.001)
PSS009697|
European Ancestry|
43,328 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: BMI Incremental R2 (full model vs. covariates alone): 0.0592 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM013709 PGS002434
(body_BMIz.P+T.0.001)
PSS009698|
South Asian Ancestry|
7,911 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: BMI Incremental R2 (full model vs. covariates alone): 0.0215 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM013758 PGS002483
(body_BMIz.P+T.0.01)
PSS009695|
African Ancestry|
6,399 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: BMI Incremental R2 (full model vs. covariates alone): 0.0001 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM013807 PGS002483
(body_BMIz.P+T.0.01)
PSS009696|
East Asian Ancestry|
916 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: BMI Incremental R2 (full model vs. covariates alone): 0.003 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM013856 PGS002483
(body_BMIz.P+T.0.01)
PSS009697|
European Ancestry|
43,328 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: BMI Incremental R2 (full model vs. covariates alone): 0.0466 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM013905 PGS002483
(body_BMIz.P+T.0.01)
PSS009698|
South Asian Ancestry|
7,911 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: BMI Incremental R2 (full model vs. covariates alone): 0.0111 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM013954 PGS002532
(body_BMIz.P+T.1e-06)
PSS009695|
African Ancestry|
6,399 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: BMI Incremental R2 (full model vs. covariates alone): 0.0092 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM014003 PGS002532
(body_BMIz.P+T.1e-06)
PSS009696|
East Asian Ancestry|
916 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: BMI Incremental R2 (full model vs. covariates alone): 0.0149 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM014052 PGS002532
(body_BMIz.P+T.1e-06)
PSS009697|
European Ancestry|
43,328 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: BMI Incremental R2 (full model vs. covariates alone): 0.0401 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM014101 PGS002532
(body_BMIz.P+T.1e-06)
PSS009698|
South Asian Ancestry|
7,911 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: BMI Incremental R2 (full model vs. covariates alone): 0.0269 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM014150 PGS002581
(body_BMIz.P+T.5e-08)
PSS009695|
African Ancestry|
6,399 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: BMI Incremental R2 (full model vs. covariates alone): 0.0077 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM014248 PGS002581
(body_BMIz.P+T.5e-08)
PSS009697|
European Ancestry|
43,328 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: BMI Incremental R2 (full model vs. covariates alone): 0.0323 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM014297 PGS002581
(body_BMIz.P+T.5e-08)
PSS009698|
South Asian Ancestry|
7,911 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: BMI Incremental R2 (full model vs. covariates alone): 0.0229 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM014346 PGS002630
(body_BMIz.PolyFun-pred)
PSS009695|
African Ancestry|
6,399 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: BMI Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.0345 age, sex, age*sex, assessment center, genotyping array, 10 PCs See body_BMIz.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights
PPM014395 PGS002630
(body_BMIz.PolyFun-pred)
PSS009696|
East Asian Ancestry|
916 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: BMI Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.0624 age, sex, age*sex, assessment center, genotyping array, 10 PCs See body_BMIz.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights
PPM014444 PGS002630
(body_BMIz.PolyFun-pred)
PSS009697|
European Ancestry|
43,328 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: BMI Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.1307 age, sex, age*sex, assessment center, genotyping array, 10 PCs See body_BMIz.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights
PPM014493 PGS002630
(body_BMIz.PolyFun-pred)
PSS009698|
South Asian Ancestry|
7,911 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: BMI Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.0832 age, sex, age*sex, assessment center, genotyping array, 10 PCs See body_BMIz.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights
PPM014542 PGS002679
(body_BMIz.SBayesR)
PSS009695|
African Ancestry|
6,399 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: BMI Incremental R2 (full model vs. covariates alone): 0.0317 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM014591 PGS002679
(body_BMIz.SBayesR)
PSS009696|
East Asian Ancestry|
916 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: BMI Incremental R2 (full model vs. covariates alone): 0.0587 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM014640 PGS002679
(body_BMIz.SBayesR)
PSS009697|
European Ancestry|
43,328 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: BMI Incremental R2 (full model vs. covariates alone): 0.1271 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM014689 PGS002679
(body_BMIz.SBayesR)
PSS009698|
South Asian Ancestry|
7,911 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: BMI Incremental R2 (full model vs. covariates alone): 0.0823 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM013562 PGS002434
(body_BMIz.P+T.0.001)
PSS009695|
African Ancestry|
6,399 individuals
PGP000332 |
Weissbrod O et al. Nat Genet (2022)
Reported Trait: BMI Incremental R2 (full model vs. covariates alone): 0.0004 age, sex, age*sex, assessment center, genotyping array, 10 PCs
PPM017295 PGS003462
(LDPred2_BMI)
PSS010185|
Hispanic or Latin American Ancestry|
1,115 individuals
PGP000456 |
Zhang Y et al. EBioMedicine (2022)
Reported Trait: Obstructive sleep apnea β: -0.025 (0.025) Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI
PPM017272 PGS003462
(LDPred2_BMI)
PSS010185|
Hispanic or Latin American Ancestry|
1,115 individuals
PGP000456 |
Zhang Y et al. EBioMedicine (2022)
Reported Trait: Respiratory event index β: -0.002 (0.011) Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI
PPM017340 PGS003462
(LDPred2_BMI)
PSS010185|
Hispanic or Latin American Ancestry|
1,115 individuals
PGP000456 |
Zhang Y et al. EBioMedicine (2022)
Reported Trait: Respiratory event index in obsese β: 0.002 (0.018) Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI
PPM017341 PGS003462
(LDPred2_BMI)
PSS010185|
Hispanic or Latin American Ancestry|
1,115 individuals
PGP000456 |
Zhang Y et al. EBioMedicine (2022)
Reported Trait: Respiratory event index in non-obsese β: -0.013 (0.013) Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI
PPM017360 PGS003462
(LDPred2_BMI)
PSS010185|
Hispanic or Latin American Ancestry|
1,115 individuals
PGP000456 |
Zhang Y et al. EBioMedicine (2022)
Reported Trait: Obstructive sleep apnea in obsese β: -0.016 (0.036) Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI
PPM017361 PGS003462
(LDPred2_BMI)
PSS010185|
Hispanic or Latin American Ancestry|
1,115 individuals
PGP000456 |
Zhang Y et al. EBioMedicine (2022)
Reported Trait: Obstructive sleep apnea in non-obsese β: -0.051 (0.036) Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI
PPM017392 PGS003462
(LDPred2_BMI)
PSS010185|
Hispanic or Latin American Ancestry|
1,115 individuals
PGP000456 |
Zhang Y et al. EBioMedicine (2022)
Reported Trait: Respiratory event index x obesity interaction β: 0.005 (1.005) Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI
PPM017402 PGS003462
(LDPred2_BMI)
PSS010185|
Hispanic or Latin American Ancestry|
1,115 individuals
PGP000456 |
Zhang Y et al. EBioMedicine (2022)
Reported Trait: Obstructive sleep apnea x obesity interaction β: 1.011 (0.051) Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI
PPM017453 PGS003525
(cont-decay-log_BMI)
PSS010888|
European Ancestry|
19,935 individuals
PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre
Reported Trait: Body mass index (BMI) partial-R2: 0.13 sex, age, deprivation index, PC1-16
PPM017537 PGS003525
(cont-decay-log_BMI)
PSS010804|
European Ancestry|
4,114 individuals
PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre
Reported Trait: Body mass index (BMI) partial-R2: 0.13 sex, age, deprivation index, PC1-16
PPM017621 PGS003525
(cont-decay-log_BMI)
PSS010636|
European Ancestry|
6,459 individuals
PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre
Reported Trait: Body mass index (BMI) partial-R2: 0.13 sex, age, deprivation index, PC1-16
PPM017705 PGS003525
(cont-decay-log_BMI)
PSS010552|
Greater Middle Eastern Ancestry|
1,149 individuals
PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre
Reported Trait: Body mass index (BMI) partial-R2: 0.08 sex, age, deprivation index, PC1-16
PPM017789 PGS003525
(cont-decay-log_BMI)
PSS010216|
European Ancestry|
2,344 individuals
PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre
Reported Trait: Body mass index (BMI) partial-R2: 0.12 sex, age, deprivation index, PC1-16
PPM017873 PGS003525
(cont-decay-log_BMI)
PSS010468|
South Asian Ancestry|
6,093 individuals
PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre
Reported Trait: Body mass index (BMI) partial-R2: 0.09 sex, age, deprivation index, PC1-16
PPM017957 PGS003525
(cont-decay-log_BMI)
PSS010384|
East Asian Ancestry|
1,787 individuals
PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre
Reported Trait: Body mass index (BMI) partial-R2: 0.06 sex, age, deprivation index, PC1-16
PPM018041 PGS003525
(cont-decay-log_BMI)
PSS010300|
African Ancestry|
2,431 individuals
PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre
Reported Trait: Body mass index (BMI) partial-R2: 0.05 sex, age, deprivation index, PC1-16
PPM018125 PGS003525
(cont-decay-log_BMI)
PSS010720|
African Ancestry|
3,830 individuals
PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre
Reported Trait: Body mass index (BMI) partial-R2: 0.02 sex, age, deprivation index, PC1-16
PPM018649 PGS003842
(bmi_EUR_CT)
PSS011036|
European Ancestry|
9,958 individuals
PGP000489 |
Zhang H et al. Nat Genet (2023)
Reported Trait: Body mass index : 0.0192
PPM018650 PGS003843
(bmi_EUR_LDpred2)
PSS011036|
European Ancestry|
9,958 individuals
PGP000489 |
Zhang H et al. Nat Genet (2023)
Reported Trait: Body mass index : 0.04099
PPM018651 PGS003844
(bmi_AFR_CT)
PSS011055|
African Ancestry|
4,519 individuals
PGP000489 |
Zhang H et al. Nat Genet (2023)
Reported Trait: Body mass index : 0.00111
PPM018653 PGS003846
(bmi_AFR_weighted_LDpred2)
PSS011055|
African Ancestry|
4,519 individuals
PGP000489 |
Zhang H et al. Nat Genet (2023)
Reported Trait: Body mass index : 0.00711
PPM018654 PGS003847
(bmi_AFR_PRSCSx)
PSS011055|
African Ancestry|
4,519 individuals
PGP000489 |
Zhang H et al. Nat Genet (2023)
Reported Trait: Body mass index : 0.00849
PPM018655 PGS003848
(bmi_AFR_CTSLEB)
PSS011055|
African Ancestry|
4,519 individuals
PGP000489 |
Zhang H et al. Nat Genet (2023)
Reported Trait: Body mass index : 0.01027
PPM018652 PGS003845
(bmi_AFR_LDpred2)
PSS011055|
African Ancestry|
4,519 individuals
PGP000489 |
Zhang H et al. Nat Genet (2023)
Reported Trait: Body mass index : 0.00051
PPM019198 PGS004096
(prscs.CV.GCST002783.BMI)
PSS011281|
South Asian Ancestry|
9,097 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Body Mass Index β: 0.21196 0 beta = sd_trait/sd_pgs = pearson correlation
PPM018776 PGS003884
(BMI_PRScsx_ARB_AMRweights)
PSS011097|
Greater Middle Eastern Ancestry|
2,669 individuals
PGP000501 |
Shim I et al. Nature Communications (2023)
Reported Trait: Body mass index β: 1.18 (0.11) : 0.0919 age, sex, array version, and the first 10 principal components of ancestry The reported performance was derived from a linearly combined score of 4 normalized ancestry-specific scores using the following coefficients: Score = (0.4178463*zscoreAMR) + (0.2238593*zscoreARB) + (0.4195118*zscoreEAS) + (0.6683519*zscoreEUR).
PPM018777 PGS003885
(BMI_PRScsx_ARB_ARBweights)
PSS011097|
Greater Middle Eastern Ancestry|
2,669 individuals
PGP000501 |
Shim I et al. Nature Communications (2023)
Reported Trait: Body mass index β: 1.18 (0.11) : 0.0919 age, sex, array version, and the first 10 principal components of ancestry The reported performance was derived from a linearly combined score of 4 normalized ancestry-specific scores using the following coefficients: Score = (0.4178463*zscoreAMR) + (0.2238593*zscoreARB) + (0.4195118*zscoreEAS) + (0.6683519*zscoreEUR).
PPM018778 PGS003886
(BMI_PRScsx_ARB_EASweights)
PSS011097|
Greater Middle Eastern Ancestry|
2,669 individuals
PGP000501 |
Shim I et al. Nature Communications (2023)
Reported Trait: Body mass index β: 1.18 (0.11) : 0.0919 age, sex, array version, and the first 10 principal components of ancestry The reported performance was derived from a linearly combined score of 4 normalized ancestry-specific scores using the following coefficients: Score = (0.4178463*zscoreAMR) + (0.2238593*zscoreARB) + (0.4195118*zscoreEAS) + (0.6683519*zscoreEUR).
PPM018779 PGS003887
(BMI_PRScsx_ARB_EURweights)
PSS011097|
Greater Middle Eastern Ancestry|
2,669 individuals
PGP000501 |
Shim I et al. Nature Communications (2023)
Reported Trait: Body mass index β: 1.18 (0.11) : 0.0919 age, sex, array version, and the first 10 principal components of ancestry The reported performance was derived from a linearly combined score of 4 normalized ancestry-specific scores using the following coefficients: Score = (0.4178463*zscoreAMR) + (0.2238593*zscoreARB) + (0.4195118*zscoreEAS) + (0.6683519*zscoreEUR).
PPM018804 PGS003897
(INI21001)
PSS011131|
European Ancestry|
67,538 individuals
PGP000502 |
Tanigawa Y et al. AJHG (2023)
Reported Trait: Body mass index (BMI) : 0.13408 [0.1293, 0.13885]
PGS R2 (no covariates): 0.11906 [0.11448, 0.12364]
Incremental R2 (full-covars): 0.11579
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18)
PPM018805 PGS003897
(INI21001)
PSS011104|
European Ancestry|
2,877 individuals
PGP000502 |
Tanigawa Y et al. AJHG (2023)
Reported Trait: Body mass index (BMI) : 0.1241 [0.10164, 0.14656]
PGS R2 (no covariates): 0.11155 [0.08996, 0.13315]
Incremental R2 (full-covars): 0.10512
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18)
PPM018806 PGS003897
(INI21001)
PSS011114|
South Asian Ancestry|
1,448 individuals
PGP000502 |
Tanigawa Y et al. AJHG (2023)
Reported Trait: Body mass index (BMI) : 0.0829 [0.05612, 0.10967]
PGS R2 (no covariates): 0.08942 [0.0618, 0.11703]
Incremental R2 (full-covars): 0.08059
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18)
PPM018807 PGS003897
(INI21001)
PSS011159|
African Ancestry|
1,191 individuals
PGP000502 |
Tanigawa Y et al. AJHG (2023)
Reported Trait: Body mass index (BMI) : 0.00924 [-0.00145, 0.01994]
PGS R2 (no covariates): 0.01761 [0.00298, 0.03223]
Incremental R2 (full-covars): 0.00743
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18)
PPM018808 PGS003897
(INI21001)
PSS011161|
Multi-ancestry (excluding European)|
7,959 individuals
PGP000502 |
Tanigawa Y et al. AJHG (2023)
Reported Trait: Body mass index (BMI) : 0.13658 [0.12261, 0.15055]
PGS R2 (no covariates): 0.10283 [0.09023, 0.11543]
Incremental R2 (full-covars): 0.08683
age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18)
PPM019193 PGS004050
(megaprs.auto.GCST002783.BMI)
PSS011281|
South Asian Ancestry|
9,097 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Body Mass Index β: 0.20292 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019194 PGS004050
(megaprs.auto.GCST002783.BMI)
PSS011267|
European Ancestry|
89,976 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Body Mass Index β: 0.23169 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019150 PGS004120
(pt_clump_nested.CV.GCST002783.BMI)
PSS011214|
European Ancestry|
189,651 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Body Mass Index β: 0.22681 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019151 PGS004120
(pt_clump_nested.CV.GCST002783.BMI)
PSS011237|
South Asian Ancestry|
33,146 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Body Mass Index β: 0.13234 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019152 PGS004120
(pt_clump_nested.CV.GCST002783.BMI)
PSS011253|
European Ancestry|
66,663 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Body Mass Index β: 0.23703 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019153 PGS004120
(pt_clump_nested.CV.GCST002783.BMI)
PSS011281|
South Asian Ancestry|
9,097 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Body Mass Index β: 0.18732 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019154 PGS004120
(pt_clump_nested.CV.GCST002783.BMI)
PSS011267|
European Ancestry|
89,976 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Body Mass Index β: 0.24564 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019155 PGS004037
(ldpred2.CV.GCST002783.BMI)
PSS011214|
European Ancestry|
189,651 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Body Mass Index β: 0.27279 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019156 PGS004037
(ldpred2.CV.GCST002783.BMI)
PSS011237|
South Asian Ancestry|
33,146 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Body Mass Index β: 0.17614 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019157 PGS004037
(ldpred2.CV.GCST002783.BMI)
PSS011253|
European Ancestry|
66,663 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Body Mass Index β: 0.28307 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019158 PGS004037
(ldpred2.CV.GCST002783.BMI)
PSS011281|
South Asian Ancestry|
9,097 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Body Mass Index β: 0.23025 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019159 PGS004037
(ldpred2.CV.GCST002783.BMI)
PSS011267|
European Ancestry|
89,976 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Body Mass Index β: 0.29441 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019160 PGS004104
(pt_clump.auto.GCST002783.BMI)
PSS011214|
European Ancestry|
189,651 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Body Mass Index β: 0.13262 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019161 PGS004104
(pt_clump.auto.GCST002783.BMI)
PSS011237|
South Asian Ancestry|
33,146 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Body Mass Index β: 0.13437 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019162 PGS004104
(pt_clump.auto.GCST002783.BMI)
PSS011253|
European Ancestry|
66,663 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Body Mass Index β: 0.13976 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019163 PGS004104
(pt_clump.auto.GCST002783.BMI)
PSS011281|
South Asian Ancestry|
9,097 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Body Mass Index β: 0.13361 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019164 PGS004104
(pt_clump.auto.GCST002783.BMI)
PSS011267|
European Ancestry|
89,976 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Body Mass Index β: 0.12888 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019165 PGS004150
(UKBB_EnsPGS.GCST002783.BMI)
PSS011214|
European Ancestry|
189,651 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Body Mass Index β: 0.28774 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019166 PGS004150
(UKBB_EnsPGS.GCST002783.BMI)
PSS011237|
South Asian Ancestry|
33,146 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Body Mass Index β: 0.21492 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019167 PGS004150
(UKBB_EnsPGS.GCST002783.BMI)
PSS011253|
European Ancestry|
66,663 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Body Mass Index β: 0.2987 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019168 PGS004150
(UKBB_EnsPGS.GCST002783.BMI)
PSS011281|
South Asian Ancestry|
9,097 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Body Mass Index β: 0.25738 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019169 PGS004150
(UKBB_EnsPGS.GCST002783.BMI)
PSS011267|
European Ancestry|
89,976 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Body Mass Index β: 0.31034 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019170 PGS003980
(dbslmm.auto.GCST002783.BMI)
PSS011214|
European Ancestry|
189,651 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Body Mass Index β: 0.26843 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019171 PGS003980
(dbslmm.auto.GCST002783.BMI)
PSS011237|
South Asian Ancestry|
33,146 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Body Mass Index β: 0.21006 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019172 PGS003980
(dbslmm.auto.GCST002783.BMI)
PSS011253|
European Ancestry|
66,663 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Body Mass Index β: 0.28302 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019173 PGS003980
(dbslmm.auto.GCST002783.BMI)
PSS011281|
South Asian Ancestry|
9,097 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Body Mass Index β: 0.23645 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019174 PGS003980
(dbslmm.auto.GCST002783.BMI)
PSS011267|
European Ancestry|
89,976 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Body Mass Index β: 0.28337 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019175 PGS004134
(sbayesr.auto.GCST002783.BMI)
PSS011214|
European Ancestry|
189,651 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Body Mass Index β: 0.23628 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019176 PGS004134
(sbayesr.auto.GCST002783.BMI)
PSS011237|
South Asian Ancestry|
33,146 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Body Mass Index β: 0.18382 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019177 PGS004134
(sbayesr.auto.GCST002783.BMI)
PSS011253|
European Ancestry|
66,663 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Body Mass Index β: 0.23811 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019178 PGS004134
(sbayesr.auto.GCST002783.BMI)
PSS011281|
South Asian Ancestry|
9,097 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Body Mass Index β: 0.2074 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019182 PGS004022
(ldpred2.auto.GCST002783.BMI)
PSS011253|
European Ancestry|
66,663 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Body Mass Index β: 0.22725 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019183 PGS004022
(ldpred2.auto.GCST002783.BMI)
PSS011281|
South Asian Ancestry|
9,097 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Body Mass Index β: 0.20804 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019184 PGS004022
(ldpred2.auto.GCST002783.BMI)
PSS011267|
European Ancestry|
89,976 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Body Mass Index β: 0.23174 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019185 PGS004066
(megaprs.CV.GCST002783.BMI)
PSS011214|
European Ancestry|
189,651 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Body Mass Index β: 0.27372 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019186 PGS004066
(megaprs.CV.GCST002783.BMI)
PSS011237|
South Asian Ancestry|
33,146 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Body Mass Index β: 0.19873 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019187 PGS004066
(megaprs.CV.GCST002783.BMI)
PSS011253|
European Ancestry|
66,663 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Body Mass Index β: 0.28643 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019188 PGS004066
(megaprs.CV.GCST002783.BMI)
PSS011281|
South Asian Ancestry|
9,097 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Body Mass Index β: 0.24111 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019189 PGS004066
(megaprs.CV.GCST002783.BMI)
PSS011267|
European Ancestry|
89,976 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Body Mass Index β: 0.29808 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019190 PGS004050
(megaprs.auto.GCST002783.BMI)
PSS011214|
European Ancestry|
189,651 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Body Mass Index β: 0.22924 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019191 PGS004050
(megaprs.auto.GCST002783.BMI)
PSS011237|
South Asian Ancestry|
33,146 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Body Mass Index β: 0.19661 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019192 PGS004050
(megaprs.auto.GCST002783.BMI)
PSS011253|
European Ancestry|
66,663 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Body Mass Index β: 0.236 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019195 PGS004096
(prscs.CV.GCST002783.BMI)
PSS011214|
European Ancestry|
189,651 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Body Mass Index β: 0.26769 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019196 PGS004096
(prscs.CV.GCST002783.BMI)
PSS011237|
South Asian Ancestry|
33,146 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Body Mass Index β: 0.16504 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019197 PGS004096
(prscs.CV.GCST002783.BMI)
PSS011253|
European Ancestry|
66,663 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Body Mass Index β: 0.27794 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019199 PGS004096
(prscs.CV.GCST002783.BMI)
PSS011267|
European Ancestry|
89,976 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Body Mass Index β: 0.29179 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019200 PGS004080
(prscs.auto.GCST002783.BMI)
PSS011214|
European Ancestry|
189,651 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Body Mass Index β: 0.26849 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019201 PGS004080
(prscs.auto.GCST002783.BMI)
PSS011237|
South Asian Ancestry|
33,146 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Body Mass Index β: 0.20035 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019202 PGS004080
(prscs.auto.GCST002783.BMI)
PSS011253|
European Ancestry|
66,663 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Body Mass Index β: 0.27952 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019203 PGS004080
(prscs.auto.GCST002783.BMI)
PSS011281|
South Asian Ancestry|
9,097 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Body Mass Index β: 0.23887 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019204 PGS004080
(prscs.auto.GCST002783.BMI)
PSS011267|
European Ancestry|
89,976 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Body Mass Index β: 0.28279 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019205 PGS003996
(lassosum.auto.GCST002783.BMI)
PSS011214|
European Ancestry|
189,651 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Body Mass Index β: 0.24937 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019206 PGS003996
(lassosum.auto.GCST002783.BMI)
PSS011237|
South Asian Ancestry|
33,146 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Body Mass Index β: 0.21681 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019207 PGS003996
(lassosum.auto.GCST002783.BMI)
PSS011253|
European Ancestry|
66,663 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Body Mass Index β: 0.25672 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019208 PGS003996
(lassosum.auto.GCST002783.BMI)
PSS011281|
South Asian Ancestry|
9,097 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Body Mass Index β: 0.2328 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019209 PGS003996
(lassosum.auto.GCST002783.BMI)
PSS011267|
European Ancestry|
89,976 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Body Mass Index β: 0.2558 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019210 PGS004012
(lassosum.CV.GCST002783.BMI)
PSS011214|
European Ancestry|
189,651 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Body Mass Index β: 0.27473 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019211 PGS004012
(lassosum.CV.GCST002783.BMI)
PSS011237|
South Asian Ancestry|
33,146 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Body Mass Index β: 0.20034 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019212 PGS004012
(lassosum.CV.GCST002783.BMI)
PSS011253|
European Ancestry|
66,663 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Body Mass Index β: 0.28629 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019213 PGS004012
(lassosum.CV.GCST002783.BMI)
PSS011281|
South Asian Ancestry|
9,097 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Body Mass Index β: 0.24618 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019214 PGS004012
(lassosum.CV.GCST002783.BMI)
PSS011267|
European Ancestry|
89,976 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Body Mass Index β: 0.29892 0 beta = sd_trait/sd_pgs = pearson correlation
PPM020149 PGS004216
(bmi_1)
PSS011296|
European Ancestry|
45,334 individuals
PGP000520 |
Raben TG et al. Sci Rep (2023)
Reported Trait: Body mass index (weight/height) : 0.13038 year of birth, sex
PPM020150 PGS004217
(bmi_2)
PSS011296|
European Ancestry|
45,334 individuals
PGP000520 |
Raben TG et al. Sci Rep (2023)
Reported Trait: Body mass index (weight/height) : 0.13102 year of birth, sex
PPM020152 PGS004219
(bmi_4)
PSS011296|
European Ancestry|
45,334 individuals
PGP000520 |
Raben TG et al. Sci Rep (2023)
Reported Trait: Body mass index (weight/height) : 0.12915 year of birth, sex
PPM020153 PGS004220
(bmi_5)
PSS011296|
European Ancestry|
45,334 individuals
PGP000520 |
Raben TG et al. Sci Rep (2023)
Reported Trait: Body mass index (weight/height) : 0.13038 year of birth, sex
PPM020165 PGS000841
(BMI)
PSS011301|
South Asian Ancestry|
1,282 individuals
PGP000525 |
Yajnik CS et al. Lancet Reg Health Southeast Asia (2023)
|Ext.
Reported Trait: Type 2 diabetes OR: 1.26 [1.12, 1.42] sex
PPM020180 PGS000841
(BMI)
PSS011301|
South Asian Ancestry|
1,282 individuals
PGP000525 |
Yajnik CS et al. Lancet Reg Health Southeast Asia (2023)
|Ext.
Reported Trait: BMI β: 0.15427 (0.027228)
PPM020185 PGS000841
(BMI)
PSS011302|
South Asian Ancestry|
830 individuals
PGP000525 |
Yajnik CS et al. Lancet Reg Health Southeast Asia (2023)
|Ext.
Reported Trait: Severe insulin deficiency diabetes OR: 1.27 [1.1, 1.47] sex
PPM020197 PGS000841
(BMI)
PSS011303|
South Asian Ancestry|
729 individuals
PGP000525 |
Yajnik CS et al. Lancet Reg Health Southeast Asia (2023)
|Ext.
Reported Trait: Mild obesity-related diabetes OR: 1.31 [1.12, 1.53] sex
PPM020208 PGS000841
(BMI)
PSS011305|
South Asian Ancestry|
624 individuals
PGP000525 |
Yajnik CS et al. Lancet Reg Health Southeast Asia (2023)
|Ext.
Reported Trait: Mild age-related diabetes OR: 0.79 [0.65, 0.97] sex
PPM020151 PGS004218
(bmi_3)
PSS011296|
European Ancestry|
45,334 individuals
PGP000520 |
Raben TG et al. Sci Rep (2023)
Reported Trait: Body mass index (weight/height) : 0.13038 year of birth, sex
PPM019179 PGS004134
(sbayesr.auto.GCST002783.BMI)
PSS011267|
European Ancestry|
89,976 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Body Mass Index β: 0.24019 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019180 PGS004022
(ldpred2.auto.GCST002783.BMI)
PSS011214|
European Ancestry|
189,651 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Body Mass Index β: 0.22444 0 beta = sd_trait/sd_pgs = pearson correlation
PPM019181 PGS004022
(ldpred2.auto.GCST002783.BMI)
PSS011237|
South Asian Ancestry|
33,146 individuals
PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre
Reported Trait: Body Mass Index β: 0.18252 0 beta = sd_trait/sd_pgs = pearson correlation
PPM020403 PGS004319
(GRS103_BMI)
PSS011351|
Hispanic or Latin American Ancestry|
11,747 individuals
PGP000549 |
Fernández-Rhodes L et al. Psychosom Med (2023)
Reported Trait: Body mass index Beta (per effect allele): 0.34
PPM020404 PGS004319
(GRS103_BMI)
PSS011351|
Hispanic or Latin American Ancestry|
11,747 individuals
PGP000549 |
Fernández-Rhodes L et al. Psychosom Med (2023)
Reported Trait: Body mass index in females Beta (per effect allele): 0.37
PPM020405 PGS004319
(GRS103_BMI)
PSS011351|
Hispanic or Latin American Ancestry|
11,747 individuals
PGP000549 |
Fernández-Rhodes L et al. Psychosom Med (2023)
Reported Trait: Body mass index in males Beta (per effect allele): 0.27
PPM020406 PGS004319
(GRS103_BMI)
PSS011351|
Hispanic or Latin American Ancestry|
11,747 individuals
PGP000549 |
Fernández-Rhodes L et al. Psychosom Med (2023)
Reported Trait: Body mass index x SASH language use subscale interaction Beta (per effect allele): 0.17 (0.02) age, sex, top 5 principal components, and study site
PPM020407 PGS004319
(GRS103_BMI)
PSS011351|
Hispanic or Latin American Ancestry|
11,747 individuals
PGP000549 |
Fernández-Rhodes L et al. Psychosom Med (2023)
Reported Trait: Body mass index x SASH language use subscale interaction in females Beta (per effect allele): 0.15 (0.03) age, sex, top 5 principal components, and study site
PPM020408 PGS004319
(GRS103_BMI)
PSS011351|
Hispanic or Latin American Ancestry|
11,747 individuals
PGP000549 |
Fernández-Rhodes L et al. Psychosom Med (2023)
Reported Trait: Body mass index x SASH language use subscale interaction in males Beta (per effect allele): 0.22 (0.03) age, sex, top 5 principal components, and study site
PPM020409 PGS004319
(GRS103_BMI)
PSS011351|
Hispanic or Latin American Ancestry|
11,747 individuals
PGP000549 |
Fernández-Rhodes L et al. Psychosom Med (2023)
Reported Trait: Body mass index x nativity interaction Beta (per effect allele): 0.19 (0.03) age, sex, top 5 principal components, and study site
PPM020410 PGS004319
(GRS103_BMI)
PSS011351|
Hispanic or Latin American Ancestry|
11,747 individuals
PGP000549 |
Fernández-Rhodes L et al. Psychosom Med (2023)
Reported Trait: Body mass index x nativity interaction in females Beta (per effect allele): 0.23 (0.04) age, sex, top 5 principal components, and study site
PPM020411 PGS004319
(GRS103_BMI)
PSS011351|
Hispanic or Latin American Ancestry|
11,747 individuals
PGP000549 |
Fernández-Rhodes L et al. Psychosom Med (2023)
Reported Trait: Body mass index x nativity interaction in males Beta (per effect allele): 0.15 (0.03) age, sex, top 5 principal components, and study site
PPM020412 PGS004319
(GRS103_BMI)
PSS011351|
Hispanic or Latin American Ancestry|
11,747 individuals
PGP000549 |
Fernández-Rhodes L et al. Psychosom Med (2023)
Reported Trait: Body mass index x time in United States interaction Beta (per effect allele): 0.09 (0.01) age, sex, top 5 principal components, and study site
PPM020413 PGS004319
(GRS103_BMI)
PSS011351|
Hispanic or Latin American Ancestry|
11,747 individuals
PGP000549 |
Fernández-Rhodes L et al. Psychosom Med (2023)
Reported Trait: Body mass index x time in United States interaction in females Beta (per effect allele): 0.11 (0.01) age, sex, top 5 principal components, and study site
PPM020414 PGS004319
(GRS103_BMI)
PSS011351|
Hispanic or Latin American Ancestry|
11,747 individuals
PGP000549 |
Fernández-Rhodes L et al. Psychosom Med (2023)
Reported Trait: Body mass index x time in United States interaction in males Beta (per effect allele): 0.06 (0.01) age, sex, top 5 principal components, and study site
PPM020493 PGS004378
(X23104.score)
PSS011364|
European Ancestry|
56,192 individuals
PGP000561 |
Jung H et al. Commun Biol (2024)
Reported Trait: Body mass index (BMI) PGS R2 (no covariates): 0.29967
PPM020771 PGS004609
(adult_BMI)
PSS011401|
European Ancestry|
5,774 individuals
PGP000585 |
Hawkes G et al. Diabetologia (2023)
Reported Trait: Adulthood body mass index (at age 44 years) OR: 1.55 [1.43, 1.67] Odds ratio for having a BMI greater than 1 standard deviation from the mean
PPM020772 PGS004609
(adult_BMI)
PSS011402|
European Ancestry|
4,704 individuals
PGP000585 |
Hawkes G et al. Diabetologia (2023)
Reported Trait: Childhood body mass index (at age 11 years) OR: 1.32 [1.2, 1.44] Odds ratio for having a BMI greater than 1 standard deviation from the mean
PPM020773 PGS004610
(child_BMI)
PSS011402|
European Ancestry|
4,704 individuals
PGP000585 |
Hawkes G et al. Diabetologia (2023)
Reported Trait: Childhood body mass index (at age 11 years) OR: 1.32 [1.21, 1.44] Odds ratio for having a BMI greater than 1 standard deviation from the mean
PPM020774 PGS004610
(child_BMI)
PSS011401|
European Ancestry|
5,774 individuals
PGP000585 |
Hawkes G et al. Diabetologia (2023)
Reported Trait: Adulthood body mass index (at age 44 years) OR: 1.16 [1.08, 1.25] Odds ratio for having a BMI greater than 1 standard deviation from the mean
PPM020885 PGS002161
(portability-ldpred2_log_BMI)
PSS011442|
European Ancestry|
564 individuals
PGP000599 |
Guarischi-Sousa R et al. Circ Genom Precis Med (2023)
|Ext.
Reported Trait: Raised coronary lesion OR: 1.12 [0.92, 1.35]
PPM020893 PGS002161
(portability-ldpred2_log_BMI)
PSS011441|
African Ancestry|
504 individuals
PGP000599 |
Guarischi-Sousa R et al. Circ Genom Precis Med (2023)
|Ext.
Reported Trait: Raised coronary lesion OR: 1.1 [0.89, 1.36]
PPM020524 PGS004409
(X21001.score)
PSS011364|
European Ancestry|
56,192 individuals
PGP000561 |
Jung H et al. Commun Biol (2024)
Reported Trait: Body mass index (BMI) PGS R2 (no covariates): 0.30053

Evaluated Samples

PGS Sample Set ID
(PSS)
Phenotype Definitions and Methods Participant Follow-up Time Sample Numbers Age of Study Participants Sample Ancestry Additional Ancestry Description Cohort(s) Additional Sample/Cohort Information
PSS000991 Cases were individuals defined as obese (BMI ≥ 30kg/m2)
[
  • 39 cases
  • , 102 controls
]
,
48.23 % Male samples
European
(French-Canadian)
FAS
PSS000992 Cases were individuals defined as obese (BMI ≥ 30kg/m2)
[
  • 50 cases
  • , 127 controls
]
,
43.5 % Male samples
European
(French-Canadian)
QFS
PSS011036 9,958 individuals,
47.0 % Male samples
Mean = 56.86 years
Sd = 8.05 years
European UKB
PSS011441
[
  • 165 cases
  • , 339 controls
]
,
82.0 % Male samples
Mean = 27.5 years African unspecified PDAY
PSS011442
[
  • 181 cases
  • , 383 controls
]
,
77.0 % Male samples
Mean = 26.7 years European PDAY
PSS009997 body mass (kg) divided by the square of the body height (m); Quantitative 23,382 individuals European MGI
PSS008177 6,331 individuals South Asian India (South Asia) UKB
PSS000411 59 MC4R mutations that had previously been reported to play a role in obesity were included in our analyses (Table S2) All phenotypic data used for analyses were collected at the baseline visit. We provide a brief description here; more details can be found in S1 Text and elsewhere [18–21]. BMI, calculated as weight (kg) divided by height squared (m2), was used to categorize individuals with underweight (BMI < 18.5 kg/m2), normal weight (18.5 kg/m2 ≤ BMI < 25 kg/m2), overweight (25 kg/m2 ≤ BMI < 30 kg/m2), or obesity (BMI ≥ 30 kg/m2).
[
  • 76 cases
  • , 28 controls
]
European UKB
PSS000412 59 MC4R mutations that had previously been reported to play a role in obesity were included in our analyses (Table S2) All phenotypic data used for analyses were collected at the baseline visit. We provide a brief description here; more details can be found in S1 Text and elsewhere [18–21]. BMI, calculated as weight (kg) divided by height squared (m2), was used to categorize individuals with underweight (BMI < 18.5 kg/m2), normal weight (18.5 kg/m2 ≤ BMI < 25 kg/m2), overweight (25 kg/m2 ≤ BMI < 30 kg/m2), or obesity (BMI ≥ 30 kg/m2).
[
  • 109,216 cases
  • , 147,554 controls
]
European UKB
PSS000413 All phenotypic data used for analyses were collected at the baseline visit. We provide a brief description here; more details can be found in S1 Text and elsewhere [18–21]. BMI, calculated as weight (kg) divided by height squared (m2), was used to categorize individuals with underweight (BMI < 18.5 kg/m2), normal weight (18.5 kg/m2 ≤ BMI < 25 kg/m2), overweight (25 kg/m2 ≤ BMI < 30 kg/m2), or obesity (BMI ≥ 30 kg/m2). 206,612 individuals,
100.0 % Male samples
Mean = 57.0 years
Sd = 8.1 years
European UKB
PSS000413 All phenotypic data used for analyses were collected at the baseline visit. We provide a brief description here; more details can be found in S1 Text and elsewhere [18–21]. BMI, calculated as weight (kg) divided by height squared (m2), was used to categorize individuals with underweight (BMI < 18.5 kg/m2), normal weight (18.5 kg/m2 ≤ BMI < 25 kg/m2), overweight (25 kg/m2 ≤ BMI < 30 kg/m2), or obesity (BMI ≥ 30 kg/m2). 244,896 individuals,
0.0 % Male samples
Mean = 57.0 years
Sd = 7.9 years
European UKB
PSS009203 4,124 individuals European Poland (NE Europe) UKB
PSS011055 4,519 individuals,
42.0 % Male samples
Mean = 51.82 years
Sd = 8.06 years
African American or Afro-Caribbean
(African American)
UKB
PSS010017 Body mass index (<19, thin low BMI; 19~40, control, normal BMI); Binary
[
  • 390 cases
  • , 20,956 controls
]
European MGI
PSS010720 3,830 individuals,
46.0 % Male samples
Mean = 51.9 years
Sd = 8.1 years
African unspecified Nigerian UKB
PSS011214 189,651 individuals European EB
PSS010216 2,344 individuals,
45.0 % Male samples
Mean = 58.1 years
Sd = 7.1 years
European Ashkenazi UKB
PSS010033 Body mass index (<19, thin low BMI; 19~40, control, normal BMI); Binary
[
  • 1,761 cases
  • , 197,933 controls
]
European UKB
PSS011237 33,146 individuals South Asian G&H
PSS011253 66,663 individuals European HUNT
PSS008757 6,622 individuals European Italy (South Europe) UKB
PSS007744 2,484 individuals African American or Afro-Caribbean Carribean UKB
PSS011267 89,976 individuals European UKB
PSS000037 288,016 individuals,
45.0 % Male samples
European UKB
PSS009916 369 individuals,
38.8 % Male samples
Mean = 44.6 years African unspecified BHS
PSS009917 832 individuals,
45.1 % Male samples
Mean = 45.4 years European BHS
PSS007873 2,444 individuals African American or Afro-Caribbean Carribean UKB
PSS011281 9,097 individuals South Asian UKB
PSS009295 20,000 individuals European UK (+ Ireland) UKB
PSS010804 4,114 individuals,
38.0 % Male samples
Mean = 54.3 years
Sd = 7.5 years
European Polish UKB
PSS000045 BMI difference between ages 21 and 45 1,699 individuals,
100.0 % Male samples
European HPFS
PSS000046 BMI difference between ages 45 and 65 1,634 individuals,
100.0 % Male samples
European HPFS
PSS000047 BMI difference between ages 65 and 80 2,020 individuals,
100.0 % Male samples
European HPFS
PSS000048 BMI difference between ages 18 and 45 5,956 individuals,
0.0 % Male samples
European NHS
PSS000049 BMI difference between age 18 and Menopause 6,705 individuals,
0.0 % Male samples
European NHS
PSS000050 BMI difference between ages 45 and 65 5,640 individuals,
0.0 % Male samples
European NHS
PSS000051 BMI difference between ages 65 and 80 2,942 individuals,
0.0 % Male samples
European NHS
PSS000052 BMI difference between Menopause and age 65 6,436 individuals,
0.0 % Male samples
European NHS
PSS010300 2,431 individuals,
36.0 % Male samples
Mean = 52.5 years
Sd = 8.1 years
African American or Afro-Caribbean Caribbean UKB
PSS011296 22,667 sibling pairs 45,334 individuals European UKB
PSS000847 Measurs of BMI were dichotomised to classify individuals higher than th 85th centiles as overweight. 3,997 individuals Mean = 17.8 years European ALSPAC ALSPAC offspring
PSS000848 Measurs of BMI were dichotomised to classify individuals higher than th 85th centiles as overweight. 2,199 individuals,
0.0 % Male samples
Mean = 50.8 years European ALSPAC ALSPAC mothers
PSS000849 Measurs of BMI were dichotomised to classify individuals higher than th 85th centiles as overweight. 5,898 individuals Mean = 9.9 years European ALSPAC ALSPAC offspring
PSS011097 2,669 individuals Greater Middle Eastern (Middle Eastern, North African or Persian)
(Arab)
NR N total after excluding missing values = 2,553
PSS008309 6,145 individuals South Asian India (South Asia) UKB
PSS011301
[
  • 821 cases
  • , 461 controls
]
South Asian
(Indian)
WellGen
PSS011302
[
  • 369 cases
  • , 461 controls
]
South Asian
(Indian)
WellGen
PSS011303
[
  • 268 cases
  • , 461 controls
]
South Asian
(Indian)
WellGen
PSS011305
[
  • 163 cases
  • , 461 controls
]
South Asian
(Indian)
WellGen
PSS009937 449 individuals,
48.3 % Male samples
African American or Afro-Caribbean NR
PSS009938 6,064 individuals,
47.9 % Male samples
European NR
PSS010384 1,787 individuals,
33.0 % Male samples
Mean = 52.4 years
Sd = 7.7 years
East Asian Chinese UKB
PSS008848 3,924 individuals African unspecified Nigeria (West Africa) UKB
PSS011104 2,877 individuals European
(non-white British ancestry)
UKB
PSS011131 67,538 individuals European
(white British ancestry)
UKB
PSS011114 1,448 individuals South Asian UKB
PSS010888 19,935 individuals,
46.0 % Male samples
Mean = 56.9 years
Sd = 7.9 years
European white British UKB
PSS010096 52,760 individuals European UKB
PSS010096 11,323 individuals African unspecified
(Black)
UKB
PSS010096 1,091 individuals Asian unspecified UKB
PSS010097 390,459 individuals European eMERGE
PSS010097 3,018 individuals African unspecified
(Black)
eMERGE
PSS010097 8,169 individuals Asian unspecified eMERGE
PSS010097 3,786 individuals Other eMERGE
PSS004913 24,795 individuals European non-white British ancestry UKB
PSS004914 7,639 individuals South Asian UKB
PSS004915 67,235 individuals European white British ancestry UKB Testing cohort (heldout set)
PSS004912 1,696 individuals East Asian UKB
PSS004911 6,398 individuals African unspecified UKB
PSS000877 BMI was calculated as weight in kilograms per height in metres squared. Weight was measured to the nearest half kilogram wih participants wearing light cloes and no shoes and height was measured to the nearest centimeter. WHO defines overweight as BMI greater than or equal to 25 and obesity as BMI greater than or equal to 30. BMI strongly related to longitudinal growth. To defiine corresponding cut-offs for obesity and overweight for participants younger than 18 years, BMI z score was calulated using age and sex specific reference from the International Obesity Task Force.
[
  • 30 cases
  • , 2,866 controls
]
European HUNT
PSS000878 BMI was calculated as weight in kilograms per height in metres squared. Weight was measured to the nearest half kilogram wih participants wearing light cloes and no shoes and height was measured to the nearest centimeter. WHO defines overweight as BMI greater than or equal to 25 and obesity as BMI greater than or equal to 30. BMI strongly related to longitudinal growth. To defiine corresponding cut-offs for obesity and overweight for participants younger than 18 years, BMI z score was calulated using age and sex specific reference from the International Obesity Task Force.
[
  • 274 cases
  • , 2,622 controls
]
European HUNT
PSS000879 BMI was calculated as weight in kilograms per height in metres squared. Weight was measured to the nearest half kilogram wih participants wearing light cloes and no shoes and height was measured to the nearest centimeter. WHO defines overweight as BMI greater than or equal to 25 and obesity as BMI greater than or equal to 30. BMI strongly related to longitudinal growth.
[
  • 542 cases
  • , 11,637 controls
]
European HUNT
PSS000880 BMI was calculated as weight in kilograms per height in metres squared. Weight was measured to the nearest half kilogram wih participants wearing light cloes and no shoes and height was measured to the nearest centimeter. WHO defines overweight as BMI greater than or equal to 25 and obesity as BMI greater than or equal to 30. BMI strongly related to longitudinal growth.
[
  • 2,898 cases
  • , 9,281 controls
]
European HUNT
PSS000890 Body mass index (BMI) measurements were standardized with weight measured to the nearest half kilogram with the participants wearing light clothes and no shoes, and height was measured to the nearest centimeter. BMI was calculated using the formula weight in kilograms per meter squared. As defined by the World Health Organization (WHO), the authors rrefer to overweight as having BMI greater than or equal to 25 and obesity as having BMI greater than or equal to 30. Severe obesity was defined as having BMI greater than or equal to 35.
[
  • 25,108 cases
]
,
0.0 % Male samples
Mean = 51.2 years
Sd = 15.0 years
European HUNT number o cases = number of observations (more than 1 pp)
PSS000882 BMI was calculated as weight in kilograms per height in metres squared. Weight was measured to the nearest half kilogram wih participants wearing light cloes and no shoes and height was measured to the nearest centimeter. WHO defines overweight as BMI greater than or equal to 25 and obesity as BMI greater than or equal to 30. BMI strongly related to longitudinal growth.
[
  • 5,775 cases
  • , 11,364 controls
]
European HUNT
PSS000892 Body mass index (BMI) measurements were standardized with weight measured to the nearest half kilogram with the participants wearing light clothes and no shoes, and height was measured to the nearest centimeter. BMI was calculated using the formula weight in kilograms per meter squared. As defined by the World Health Organization (WHO), the authors rrefer to overweight as having BMI greater than or equal to 25 and obesity as having BMI greater than or equal to 30. Severe obesity was defined as having BMI greater than or equal to 35.
[
  • 17,740 cases
]
,
0.0 % Male samples
Mean = 58.9 years
Sd = 11.9 years
European HUNT number o cases = number of observations (more than 1 pp)
PSS000884 BMI was calculated as weight in kilograms per height in metres squared. Weight was measured to the nearest half kilogram wih participants wearing light cloes and no shoes and height was measured to the nearest centimeter. WHO defines overweight as BMI greater than or equal to 25 and obesity as BMI greater than or equal to 30. BMI strongly related to longitudinal growth.
[
  • 43,408 cases
  • , 19,133 controls
]
European HUNT
PSS000885 Body mass index (BMI) measurements were standardized with weight measured to the nearest half kilogram with the participants wearing light clothes and no shoes, and height was measured to the nearest centimeter. BMI was calculated using the formula weight in kilograms per meter squared. As defined by the World Health Organization (WHO), the authors rrefer to overweight as having BMI greater than or equal to 25 and obesity as having BMI greater than or equal to 30. Severe obesity was defined as having BMI greater than or equal to 35.
[
  • 19,588 cases
]
,
100.0 % Male samples
Mean = 42.4 years
Sd = 12.6 years
European HUNT number o cases = number of observations (more than 1 pp)
PSS000886 Body mass index (BMI) measurements were standardized with weight measured to the nearest half kilogram with the participants wearing light clothes and no shoes, and height was measured to the nearest centimeter. BMI was calculated using the formula weight in kilograms per meter squared. As defined by the World Health Organization (WHO), the authors rrefer to overweight as having BMI greater than or equal to 25 and obesity as having BMI greater than or equal to 30. Severe obesity was defined as having BMI greater than or equal to 35.
[
  • 21,499 cases
]
,
0.0 % Male samples
Mean = 42.6 years
Sd = 12.8 years
European HUNT number o cases = number of observations (more than 1 pp)
PSS000887 Body mass index (BMI) measurements were standardized with weight measured to the nearest half kilogram with the participants wearing light clothes and no shoes, and height was measured to the nearest centimeter. BMI was calculated using the formula weight in kilograms per meter squared. As defined by the World Health Organization (WHO), the authors rrefer to overweight as having BMI greater than or equal to 25 and obesity as having BMI greater than or equal to 30. Severe obesity was defined as having BMI greater than or equal to 35.
[
  • 26,336 cases
]
,
100.0 % Male samples
Mean = 47.6 years
Sd = 16.1 years
European HUNT number o cases = number of observations (more than 1 pp)
PSS000888 Body mass index (BMI) measurements were standardized with weight measured to the nearest half kilogram with the participants wearing light clothes and no shoes, and height was measured to the nearest centimeter. BMI was calculated using the formula weight in kilograms per meter squared. As defined by the World Health Organization (WHO), the authors rrefer to overweight as having BMI greater than or equal to 25 and obesity as having BMI greater than or equal to 30. Severe obesity was defined as having BMI greater than or equal to 35.
[
  • 29,545 cases
]
,
0.0 % Male samples
Mean = 47.1 years
Sd = 16.5 years
European HUNT number o cases = number of observations (more than 1 pp)
PSS000889 Body mass index (BMI) measurements were standardized with weight measured to the nearest half kilogram with the participants wearing light clothes and no shoes, and height was measured to the nearest centimeter. BMI was calculated using the formula weight in kilograms per meter squared. As defined by the World Health Organization (WHO), the authors rrefer to overweight as having BMI greater than or equal to 25 and obesity as having BMI greater than or equal to 30. Severe obesity was defined as having BMI greater than or equal to 35.
[
  • 21,192 cases
]
,
100.0 % Male samples
Mean = 52.3 years
Sd = 14.5 years
European HUNT number o cases = number of observations (more than 1 pp)
PSS000891 Body mass index (BMI) measurements were standardized with weight measured to the nearest half kilogram with the participants wearing light clothes and no shoes, and height was measured to the nearest centimeter. BMI was calculated using the formula weight in kilograms per meter squared. As defined by the World Health Organization (WHO), the authors rrefer to overweight as having BMI greater than or equal to 25 and obesity as having BMI greater than or equal to 30. Severe obesity was defined as having BMI greater than or equal to 35.
[
  • 14,487 cases
]
,
100.0 % Male samples
Mean = 60.2 years
Sd = 11.5 years
European HUNT number o cases = number of observations (more than 1 pp)
PSS008398 1,200 individuals Greater Middle Eastern (Middle Eastern, North African or Persian) Iran (Middle East) UKB
PSS009429 19,937 individuals European UK (+ Ireland) UKB
PSS011159 1,191 individuals African unspecified UKB
PSS011161 7,959 individuals East Asian, Other admixed ancestry East Asian, Other admixed ancestry UKB
PSS000911 13,989 individuals Greater Middle Eastern (Middle Eastern, North African or Persian)
(Qatari)
QBB
PSS000875 BMI was calculated as weight in kilograms per height in metres squared. Weight was measured to the nearest half kilogram wih participants wearing light cloes and no shoes and height was measured to the nearest centimeter. WHO defines overweight as BMI greater than or equal to 25 and obesity as BMI greater than or equal to 30. BMI strongly related to longitudinal growth. To defiine corresponding cut-offs for obesity and overweight for participants younger than 18 years, BMI z score was calulated using age and sex specific reference from the International Obesity Task Force.
[
  • 37 cases
  • , 3,087 controls
]
European HUNT
PSS011351 11,747 individuals,
49.1 % Male samples
Mean = 43.0 years Hispanic or Latin American HCHS, SOL
PSS010468 6,093 individuals,
53.0 % Male samples
Mean = 53.3 years
Sd = 8.4 years
South Asian Indian UKB
PSS000876 BMI was calculated as weight in kilograms per height in metres squared. Weight was measured to the nearest half kilogram wih participants wearing light cloes and no shoes and height was measured to the nearest centimeter. WHO defines overweight as BMI greater than or equal to 25 and obesity as BMI greater than or equal to 30. BMI strongly related to longitudinal growth. To defiine corresponding cut-offs for obesity and overweight for participants younger than 18 years, BMI z score was calulated using age and sex specific reference from the International Obesity Task Force.
[
  • 344 cases
  • , 2,780 controls
]
European HUNT
PSS008977 3,859 individuals African unspecified Nigeria (West Africa) UKB
PSS009695 6,399 individuals African unspecified UKB
PSS009696 916 individuals East Asian UKB
PSS009697 43,328 individuals European Non-British European UKB
PSS009698 7,911 individuals South Asian UKB
PSS007963 1,810 individuals East Asian China (East Asia) UKB
PSS011364 56,192 individuals European UKB
PSS000881 BMI was calculated as weight in kilograms per height in metres squared. Weight was measured to the nearest half kilogram wih participants wearing light cloes and no shoes and height was measured to the nearest centimeter. WHO defines overweight as BMI greater than or equal to 25 and obesity as BMI greater than or equal to 30. BMI strongly related to longitudinal growth.
[
  • 1,240 cases
  • , 15,899 controls
]
European HUNT
PSS001425
[
  • 140 cases
  • , 1,517 controls
]
European AGDS
PSS001426
[
  • 367 cases
  • , 2,218 controls
]
European AGDS
PSS001427
[
  • 489 cases
  • , 2,035 controls
]
European AGDS
PSS001428
[
  • 382 cases
  • , 1,613 controls
]
European AGDS
PSS001429
[
  • 712 cases
  • , 3,653 controls
]
European AGDS
PSS001430
[
  • 583 cases
  • , 3,087 controls
]
European AGDS
PSS001431
[
  • 186 cases
  • , 1,801 controls
]
European AGDS
PSS001432
[
  • 236 cases
  • , 1,344 controls
]
European AGDS
PSS001433
[
  • 1,020 cases
  • , 4,699 controls
]
European AGDS
PSS001434
[
  • 794 cases
  • , 3,173 controls
]
European AGDS
PSS000883 BMI was calculated as weight in kilograms per height in metres squared. Weight was measured to the nearest half kilogram wih participants wearing light cloes and no shoes and height was measured to the nearest centimeter. WHO defines overweight as BMI greater than or equal to 25 and obesity as BMI greater than or equal to 30. BMI strongly related to longitudinal growth.
[
  • 15,112 cases
  • , 47,429 controls
]
European HUNT
PSS008531 1,178 individuals Greater Middle Eastern (Middle Eastern, North African or Persian) Iran (Middle East) UKB
PSS001456 5,179 individuals European
(Danish)
Inter99 Independent subset of Inter99, doesn't overlap with score development samples
PSS010552 1,149 individuals,
60.0 % Male samples
Mean = 52.0 years
Sd = 8.0 years
Greater Middle Eastern (Middle Eastern, North African or Persian) Iranian UKB
PSS001083 Of the 2,531 participants, 1,809 had longitudinal observations for total cholesterol (mg/dL), high density lipoprotein cholesterol (mg/dL) and trigycerides (mg/dL), 1,801 had longitudinal observations for low density lipoprotein cholesterol (mg/dL), 1,325 had longitudinal observations for waist circumference (inches), 2,355 had longitudinal observations for body mass index (kg/m^2) and 1,572 had longitudinal observations for homocysteine (μmol/L). 2,531 individuals,
40.0 % Male samples
Mean = 48.0 years
Sd = 12.0 years
European, Asian unspecified, Hispanic or Latin American, African unspecified, NR European = 1,999, Asian unspecified = 228, Hispanic or Latin American = 101, African unspecified = 51, Not reported = 152 NR Participants were obtained from the Scientific Wellness Program.
PSS009069 4,136 individuals European Poland (NE Europe) UKB
PSS000369 Individuals who have been referred to a child psychiatric outpatient clinic in the Northern Netherlands before the age of 11. We measured weight and height using regularly calibrated equipment (scales and stadiometer models 770 and 214, respectively; Seca, Hamburg, Germany). Body mass index (BMI; in kg/m2) was also calculated. We measured waist circumference at the midpoint between the lower costal margin and the iliac crest. The hip circumference was measured over both trochanter majores (tangible bone on the outside of the hip joint). Waist to hip ratio was also calculated. We performed all measurements in duplicate, and, if the difference between these measurements exceeded a predefined value, a third measurement was performed. All available measurements were used to calculate means. Heart rate, systolic (SBP) and diastolic (DBP) blood pressure were measured in duplicate with a Dinamap Critikon 1846SX (Critikon Inc, Tampa, FL), from which we calculated means. At the third visit, fasting blood sample of participants were drawn for the measurement of glucose (Roche Diagnostics, Basel, Switzerland), insulin (Diagnostic Systems Laboratories Inc, Webster, TX), HbA1c (high performance liquid chromatography, Variant, Bio-Rad), triglycerides, total cholesterol, HDL cholesterol (Roche Diagnostics) and LDL cholesterol (calculated according to Friedewald’s equation5), as well as alanine transaminase (Photometric determination according to the reference method of the International Federation of Clinical Chemistry (IFCC)6) and lipoprotein(a) (Nephelometric method, BN2, DadeBehring). Serum creatinine was measured by photometric determination with the Jaffé method without deproteinisation (Ecoline® MEGA, DiaSys Diagnostic Systems GmbH. Merck). eGFR for adolescents who were younger than 18 years old was calculated using the Schwartz formula.7 High‐sensitivity C‐reactive protein (hsCRP) was determined using an immunonephelometric method, BN2 (CardioPhase hsCRP, Siemens) with a lower detection limit of 0.175 mg/L. Total IgE measurements were performed using the Phadia Immunocap 100 system with fluoroenzyme immunoassay (FEIA). 334 individuals,
69.2 % Male samples
Mean = 11.1 years
Sd = 0.48 years
European TRAILS, TRAILSCC TRAILS Clinical Cohort
PSS000370 Individuals who have been referred to a child psychiatric outpatient clinic in the Northern Netherlands before the age of 11. We measured weight and height using regularly calibrated equipment (scales and stadiometer models 770 and 214, respectively; Seca, Hamburg, Germany). Body mass index (BMI; in kg/m2) was also calculated. We measured waist circumference at the midpoint between the lower costal margin and the iliac crest. The hip circumference was measured over both trochanter majores (tangible bone on the outside of the hip joint). Waist to hip ratio was also calculated. We performed all measurements in duplicate, and, if the difference between these measurements exceeded a predefined value, a third measurement was performed. All available measurements were used to calculate means. Heart rate, systolic (SBP) and diastolic (DBP) blood pressure were measured in duplicate with a Dinamap Critikon 1846SX (Critikon Inc, Tampa, FL), from which we calculated means. At the third visit, fasting blood sample of participants were drawn for the measurement of glucose (Roche Diagnostics, Basel, Switzerland), insulin (Diagnostic Systems Laboratories Inc, Webster, TX), HbA1c (high performance liquid chromatography, Variant, Bio-Rad), triglycerides, total cholesterol, HDL cholesterol (Roche Diagnostics) and LDL cholesterol (calculated according to Friedewald’s equation5), as well as alanine transaminase (Photometric determination according to the reference method of the International Federation of Clinical Chemistry (IFCC)6) and lipoprotein(a) (Nephelometric method, BN2, DadeBehring). Serum creatinine was measured by photometric determination with the Jaffé method without deproteinisation (Ecoline® MEGA, DiaSys Diagnostic Systems GmbH. Merck). eGFR for adolescents who were younger than 18 years old was calculated using the Schwartz formula.7 High‐sensitivity C‐reactive protein (hsCRP) was determined using an immunonephelometric method, BN2 (CardioPhase hsCRP, Siemens) with a lower detection limit of 0.175 mg/L. Total IgE measurements were performed using the Phadia Immunocap 100 system with fluoroenzyme immunoassay (FEIA). 329 individuals,
69.2 % Male samples
Mean = 12.81 years
Sd = 0.59 years
European TRAILS, TRAILSCC TRAILS Clinical Cohort
PSS000371 Individuals who have been referred to a child psychiatric outpatient clinic in the Northern Netherlands before the age of 11. We measured weight and height using regularly calibrated equipment (scales and stadiometer models 770 and 214, respectively; Seca, Hamburg, Germany). Body mass index (BMI; in kg/m2) was also calculated. We measured waist circumference at the midpoint between the lower costal margin and the iliac crest. The hip circumference was measured over both trochanter majores (tangible bone on the outside of the hip joint). Waist to hip ratio was also calculated. We performed all measurements in duplicate, and, if the difference between these measurements exceeded a predefined value, a third measurement was performed. All available measurements were used to calculate means. Heart rate, systolic (SBP) and diastolic (DBP) blood pressure were measured in duplicate with a Dinamap Critikon 1846SX (Critikon Inc, Tampa, FL), from which we calculated means. At the third visit, fasting blood sample of participants were drawn for the measurement of glucose (Roche Diagnostics, Basel, Switzerland), insulin (Diagnostic Systems Laboratories Inc, Webster, TX), HbA1c (high performance liquid chromatography, Variant, Bio-Rad), triglycerides, total cholesterol, HDL cholesterol (Roche Diagnostics) and LDL cholesterol (calculated according to Friedewald’s equation5), as well as alanine transaminase (Photometric determination according to the reference method of the International Federation of Clinical Chemistry (IFCC)6) and lipoprotein(a) (Nephelometric method, BN2, DadeBehring). Serum creatinine was measured by photometric determination with the Jaffé method without deproteinisation (Ecoline® MEGA, DiaSys Diagnostic Systems GmbH. Merck). eGFR for adolescents who were younger than 18 years old was calculated using the Schwartz formula.7 High‐sensitivity C‐reactive protein (hsCRP) was determined using an immunonephelometric method, BN2 (CardioPhase hsCRP, Siemens) with a lower detection limit of 0.175 mg/L. Total IgE measurements were performed using the Phadia Immunocap 100 system with fluoroenzyme immunoassay (FEIA). 288 individuals,
69.2 % Male samples
Mean = 15.83 years
Sd = 0.6 years
European TRAILS, TRAILSCC TRAILS Clinical Cohort
PSS000372 Individuals who have been referred to a child psychiatric outpatient clinic in the Northern Netherlands before the age of 11. We measured weight and height using regularly calibrated equipment (scales and stadiometer models 770 and 214, respectively; Seca, Hamburg, Germany). Body mass index (BMI; in kg/m2) was also calculated. We measured waist circumference at the midpoint between the lower costal margin and the iliac crest. The hip circumference was measured over both trochanter majores (tangible bone on the outside of the hip joint). Waist to hip ratio was also calculated. We performed all measurements in duplicate, and, if the difference between these measurements exceeded a predefined value, a third measurement was performed. All available measurements were used to calculate means. Heart rate, systolic (SBP) and diastolic (DBP) blood pressure were measured in duplicate with a Dinamap Critikon 1846SX (Critikon Inc, Tampa, FL), from which we calculated means. At the third visit, fasting blood sample of participants were drawn for the measurement of glucose (Roche Diagnostics, Basel, Switzerland), insulin (Diagnostic Systems Laboratories Inc, Webster, TX), HbA1c (high performance liquid chromatography, Variant, Bio-Rad), triglycerides, total cholesterol, HDL cholesterol (Roche Diagnostics) and LDL cholesterol (calculated according to Friedewald’s equation5), as well as alanine transaminase (Photometric determination according to the reference method of the International Federation of Clinical Chemistry (IFCC)6) and lipoprotein(a) (Nephelometric method, BN2, DadeBehring). Serum creatinine was measured by photometric determination with the Jaffé method without deproteinisation (Ecoline® MEGA, DiaSys Diagnostic Systems GmbH. Merck). eGFR for adolescents who were younger than 18 years old was calculated using the Schwartz formula.7 High‐sensitivity C‐reactive protein (hsCRP) was determined using an immunonephelometric method, BN2 (CardioPhase hsCRP, Siemens) with a lower detection limit of 0.175 mg/L. Total IgE measurements were performed using the Phadia Immunocap 100 system with fluoroenzyme immunoassay (FEIA). 265 individuals,
69.2 % Male samples
Mean = 19.2 years
Sd = 0.66 years
European TRAILS, TRAILSCC TRAILS Clinical Cohort
PSS000373 Individuals who have been referred to a child psychiatric outpatient clinic in the Northern Netherlands before the age of 11. We measured weight and height using regularly calibrated equipment (scales and stadiometer models 770 and 214, respectively; Seca, Hamburg, Germany). Body mass index (BMI; in kg/m2) was also calculated. We measured waist circumference at the midpoint between the lower costal margin and the iliac crest. The hip circumference was measured over both trochanter majores (tangible bone on the outside of the hip joint). Waist to hip ratio was also calculated. We performed all measurements in duplicate, and, if the difference between these measurements exceeded a predefined value, a third measurement was performed. All available measurements were used to calculate means. Heart rate, systolic (SBP) and diastolic (DBP) blood pressure were measured in duplicate with a Dinamap Critikon 1846SX (Critikon Inc, Tampa, FL), from which we calculated means. At the third visit, fasting blood sample of participants were drawn for the measurement of glucose (Roche Diagnostics, Basel, Switzerland), insulin (Diagnostic Systems Laboratories Inc, Webster, TX), HbA1c (high performance liquid chromatography, Variant, Bio-Rad), triglycerides, total cholesterol, HDL cholesterol (Roche Diagnostics) and LDL cholesterol (calculated according to Friedewald’s equation5), as well as alanine transaminase (Photometric determination according to the reference method of the International Federation of Clinical Chemistry (IFCC)6) and lipoprotein(a) (Nephelometric method, BN2, DadeBehring). Serum creatinine was measured by photometric determination with the Jaffé method without deproteinisation (Ecoline® MEGA, DiaSys Diagnostic Systems GmbH. Merck). eGFR for adolescents who were younger than 18 years old was calculated using the Schwartz formula.7 High‐sensitivity C‐reactive protein (hsCRP) was determined using an immunonephelometric method, BN2 (CardioPhase hsCRP, Siemens) with a lower detection limit of 0.175 mg/L. Total IgE measurements were performed using the Phadia Immunocap 100 system with fluoroenzyme immunoassay (FEIA). 245 individuals,
69.2 % Male samples
Mean = 22.04 years
Sd = 0.69 years
European TRAILS, TRAILSCC TRAILS Clinical Cohort
PSS000374 We measured weight and height using regularly calibrated equipment (scales and stadiometer models 770 and 214, respectively; Seca, Hamburg, Germany). Body mass index (BMI; in kg/m2) was also calculated. We measured waist circumference at the midpoint between the lower costal margin and the iliac crest. The hip circumference was measured over both trochanter majores (tangible bone on the outside of the hip joint). Waist to hip ratio was also calculated. We performed all measurements in duplicate, and, if the difference between these measurements exceeded a predefined value, a third measurement was performed. All available measurements were used to calculate means. Heart rate, systolic (SBP) and diastolic (DBP) blood pressure were measured in duplicate with a Dinamap Critikon 1846SX (Critikon Inc, Tampa, FL), from which we calculated means. At the third visit, fasting blood sample of participants were drawn for the measurement of glucose (Roche Diagnostics, Basel, Switzerland), insulin (Diagnostic Systems Laboratories Inc, Webster, TX), HbA1c (high performance liquid chromatography, Variant, Bio-Rad), triglycerides, total cholesterol, HDL cholesterol (Roche Diagnostics) and LDL cholesterol (calculated according to Friedewald’s equation5), as well as alanine transaminase (Photometric determination according to the reference method of the International Federation of Clinical Chemistry (IFCC)6) and lipoprotein(a) (Nephelometric method, BN2, DadeBehring). Serum creatinine was measured by photometric determination with the Jaffé method without deproteinisation (Ecoline® MEGA, DiaSys Diagnostic Systems GmbH. Merck). eGFR for adolescents who were younger than 18 years old was calculated using the Schwartz formula.7 High‐sensitivity C‐reactive protein (hsCRP) was determined using an immunonephelometric method, BN2 (CardioPhase hsCRP, Siemens) with a lower detection limit of 0.175 mg/L. Total IgE measurements were performed using the Phadia Immunocap 100 system with fluoroenzyme immunoassay (FEIA). 1,318 individuals,
47.6 % Male samples
Mean = 11.1 years European TRAILS
PSS000375 We measured weight and height using regularly calibrated equipment (scales and stadiometer models 770 and 214, respectively; Seca, Hamburg, Germany). Body mass index (BMI; in kg/m2) was also calculated. We measured waist circumference at the midpoint between the lower costal margin and the iliac crest. The hip circumference was measured over both trochanter majores (tangible bone on the outside of the hip joint). Waist to hip ratio was also calculated. We performed all measurements in duplicate, and, if the difference between these measurements exceeded a predefined value, a third measurement was performed. All available measurements were used to calculate means. Heart rate, systolic (SBP) and diastolic (DBP) blood pressure were measured in duplicate with a Dinamap Critikon 1846SX (Critikon Inc, Tampa, FL), from which we calculated means. At the third visit, fasting blood sample of participants were drawn for the measurement of glucose (Roche Diagnostics, Basel, Switzerland), insulin (Diagnostic Systems Laboratories Inc, Webster, TX), HbA1c (high performance liquid chromatography, Variant, Bio-Rad), triglycerides, total cholesterol, HDL cholesterol (Roche Diagnostics) and LDL cholesterol (calculated according to Friedewald’s equation5), as well as alanine transaminase (Photometric determination according to the reference method of the International Federation of Clinical Chemistry (IFCC)6) and lipoprotein(a) (Nephelometric method, BN2, DadeBehring). Serum creatinine was measured by photometric determination with the Jaffé method without deproteinisation (Ecoline® MEGA, DiaSys Diagnostic Systems GmbH. Merck). eGFR for adolescents who were younger than 18 years old was calculated using the Schwartz formula.7 High‐sensitivity C‐reactive protein (hsCRP) was determined using an immunonephelometric method, BN2 (CardioPhase hsCRP, Siemens) with a lower detection limit of 0.175 mg/L. Total IgE measurements were performed using the Phadia Immunocap 100 system with fluoroenzyme immunoassay (FEIA). 1,313 individuals,
47.6 % Male samples
Mean = 13.5 years European TRAILS
PSS000376 We measured weight and height using regularly calibrated equipment (scales and stadiometer models 770 and 214, respectively; Seca, Hamburg, Germany). Body mass index (BMI; in kg/m2) was also calculated. We measured waist circumference at the midpoint between the lower costal margin and the iliac crest. The hip circumference was measured over both trochanter majores (tangible bone on the outside of the hip joint). Waist to hip ratio was also calculated. We performed all measurements in duplicate, and, if the difference between these measurements exceeded a predefined value, a third measurement was performed. All available measurements were used to calculate means. Heart rate, systolic (SBP) and diastolic (DBP) blood pressure were measured in duplicate with a Dinamap Critikon 1846SX (Critikon Inc, Tampa, FL), from which we calculated means. At the third visit, fasting blood sample of participants were drawn for the measurement of glucose (Roche Diagnostics, Basel, Switzerland), insulin (Diagnostic Systems Laboratories Inc, Webster, TX), HbA1c (high performance liquid chromatography, Variant, Bio-Rad), triglycerides, total cholesterol, HDL cholesterol (Roche Diagnostics) and LDL cholesterol (calculated according to Friedewald’s equation5), as well as alanine transaminase (Photometric determination according to the reference method of the International Federation of Clinical Chemistry (IFCC)6) and lipoprotein(a) (Nephelometric method, BN2, DadeBehring). Serum creatinine was measured by photometric determination with the Jaffé method without deproteinisation (Ecoline® MEGA, DiaSys Diagnostic Systems GmbH. Merck). eGFR for adolescents who were younger than 18 years old was calculated using the Schwartz formula.7 High‐sensitivity C‐reactive protein (hsCRP) was determined using an immunonephelometric method, BN2 (CardioPhase hsCRP, Siemens) with a lower detection limit of 0.175 mg/L. Total IgE measurements were performed using the Phadia Immunocap 100 system with fluoroenzyme immunoassay (FEIA). 1,354 individuals,
47.56 % Male samples
Mean = 16.22 years
Sd = 0.66 years
European TRAILS
PSS000377 We measured weight and height using regularly calibrated equipment (scales and stadiometer models 770 and 214, respectively; Seca, Hamburg, Germany). Body mass index (BMI; in kg/m2) was also calculated. We measured waist circumference at the midpoint between the lower costal margin and the iliac crest. The hip circumference was measured over both trochanter majores (tangible bone on the outside of the hip joint). Waist to hip ratio was also calculated. We performed all measurements in duplicate, and, if the difference between these measurements exceeded a predefined value, a third measurement was performed. All available measurements were used to calculate means. Heart rate, systolic (SBP) and diastolic (DBP) blood pressure were measured in duplicate with a Dinamap Critikon 1846SX (Critikon Inc, Tampa, FL), from which we calculated means. At the third visit, fasting blood sample of participants were drawn for the measurement of glucose (Roche Diagnostics, Basel, Switzerland), insulin (Diagnostic Systems Laboratories Inc, Webster, TX), HbA1c (high performance liquid chromatography, Variant, Bio-Rad), triglycerides, total cholesterol, HDL cholesterol (Roche Diagnostics) and LDL cholesterol (calculated according to Friedewald’s equation5), as well as alanine transaminase (Photometric determination according to the reference method of the International Federation of Clinical Chemistry (IFCC)6) and lipoprotein(a) (Nephelometric method, BN2, DadeBehring). Serum creatinine was measured by photometric determination with the Jaffé method without deproteinisation (Ecoline® MEGA, DiaSys Diagnostic Systems GmbH. Merck). eGFR for adolescents who were younger than 18 years old was calculated using the Schwartz formula.7 High‐sensitivity C‐reactive protein (hsCRP) was determined using an immunonephelometric method, BN2 (CardioPhase hsCRP, Siemens) with a lower detection limit of 0.175 mg/L. Total IgE measurements were performed using the Phadia Immunocap 100 system with fluoroenzyme immunoassay (FEIA). 1,174 individuals,
47.6 % Male samples
Mean = 19.2 years European TRAILS
PSS000378 We measured weight and height using regularly calibrated equipment (scales and stadiometer models 770 and 214, respectively; Seca, Hamburg, Germany). Body mass index (BMI; in kg/m2) was also calculated. We measured waist circumference at the midpoint between the lower costal margin and the iliac crest. The hip circumference was measured over both trochanter majores (tangible bone on the outside of the hip joint). Waist to hip ratio was also calculated. We performed all measurements in duplicate, and, if the difference between these measurements exceeded a predefined value, a third measurement was performed. All available measurements were used to calculate means. Heart rate, systolic (SBP) and diastolic (DBP) blood pressure were measured in duplicate with a Dinamap Critikon 1846SX (Critikon Inc, Tampa, FL), from which we calculated means. At the third visit, fasting blood sample of participants were drawn for the measurement of glucose (Roche Diagnostics, Basel, Switzerland), insulin (Diagnostic Systems Laboratories Inc, Webster, TX), HbA1c (high performance liquid chromatography, Variant, Bio-Rad), triglycerides, total cholesterol, HDL cholesterol (Roche Diagnostics) and LDL cholesterol (calculated according to Friedewald’s equation5), as well as alanine transaminase (Photometric determination according to the reference method of the International Federation of Clinical Chemistry (IFCC)6) and lipoprotein(a) (Nephelometric method, BN2, DadeBehring). Serum creatinine was measured by photometric determination with the Jaffé method without deproteinisation (Ecoline® MEGA, DiaSys Diagnostic Systems GmbH. Merck). eGFR for adolescents who were younger than 18 years old was calculated using the Schwartz formula.7 High‐sensitivity C‐reactive protein (hsCRP) was determined using an immunonephelometric method, BN2 (CardioPhase hsCRP, Siemens) with a lower detection limit of 0.175 mg/L. Total IgE measurements were performed using the Phadia Immunocap 100 system with fluoroenzyme immunoassay (FEIA). 1,095 individuals,
47.6 % Male samples
Mean = 22.4 years European TRAILS
PSS001084 Moderate Age-Related Diabetes (MARD) vs. controls
[
  • 2,853 cases
  • , 2,744 controls
]
European Swedish ANDIS
PSS001085 Moderate Obesity-related Diabetes (MOD) vs. controls
[
  • 1,372 cases
  • , 2,744 controls
]
European Swedish ANDIS
PSS001086 Severe Autoimmune Diabetes (SAID) vs. controls
[
  • 450 cases
  • , 2,744 controls
]
European Swedish ANDIS
PSS001087 Severe Insulin-Deficient Diabetes (SIDD) vs. controls
[
  • 1,186 cases
  • , 2,744 controls
]
European Swedish ANDIS
PSS001088 Severe Insulin-Resistant Diabetes (SIRD) vs. controls
[
  • 1,125 cases
  • , 2,744 controls
]
European Swedish ANDIS
PSS010185 1,115 individuals,
41.1 % Male samples
Mean = 46.18 years Hispanic or Latin American HCHS, SOL
PSS011401 5,774 individuals European NCDS
PSS011402 4,704 individuals European NCDS
PSS009565 Clinically measured BMI 33,511 individuals,
46.9 % Male samples
Mean = 60.2 years
Sd = 16.9 years
European MGBB
PSS008086 1,799 individuals East Asian China (East Asia) UKB
PSS008623 6,660 individuals European Italy (South Europe) UKB
PSS010636 6,459 individuals,
45.0 % Male samples
Mean = 54.5 years
Sd = 8.4 years
European Italian UKB