Trait: body height

Experimental Factor Ontology (EFO) Information
Identifier EFO_0004339
Description The distance from the sole to the crown of the head with body standing on a flat surface and fully extended.
Trait category
Body measurement
Synonym height
Mapped terms 3 mapped terms
  • MeSH:D001827
  • MedDRA:10005891
  • NCIt:C25347

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
Polygenic Score ID & Name PGS Publication ID (PGP) Reported Trait Mapped Trait(s) (Ontology) Number of Variants Ancestry distribution Scoring File (FTP Link)
PGS000297
(GRS3290_Height)
 PGP000092 |
Xie T et al. Circ Genom Precis Med (2020)
 Height body height 3,290
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000297/ScoringFiles/PGS000297.txt.gz
PGS000758
(LASSO_Height)
 PGP000163 |
Lu T et al. J Clin Endocrinol Metab (2021)
 Adult standing height body height 33,938
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000758/ScoringFiles/PGS000758.txt.gz - Check Terms/Licenses
PGS001229
(GBE_INI50)
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Standing height body height 51,209
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001229/ScoringFiles/PGS001229.txt.gz
PGS001405
(GBE_INI12144)
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Height body height 3,166
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001405/ScoringFiles/PGS001405.txt.gz
PGS001929
(portability-PLR_height)
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Standing height body height 156,514
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001929/ScoringFiles/PGS001929.txt.gz
PGS002146
(portability-ldpred2_height)
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Standing height body height 922,538
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002146/ScoringFiles/PGS002146.txt.gz
PGS002332
(body_HEIGHTz.BOLT-LMM)
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Height body height 1,109,311
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002332/ScoringFiles/PGS002332.txt.gz
PGS002368
(body_HEIGHTz.BOLT-LMM-BBJ)
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Height body height 920,927
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002368/ScoringFiles/PGS002368.txt.gz
PGS002404
(body_HEIGHTz.P+T.0.0001)
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Height body height 56,984
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002404/ScoringFiles/PGS002404.txt.gz
PGS002453
(body_HEIGHTz.P+T.0.001)
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Height body height 103,911
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002453/ScoringFiles/PGS002453.txt.gz
PGS002502
(body_HEIGHTz.P+T.0.01)
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Height body height 262,080
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002502/ScoringFiles/PGS002502.txt.gz
PGS002551
(body_HEIGHTz.P+T.1e-06)
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Height body height 27,070
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002551/ScoringFiles/PGS002551.txt.gz
PGS002600
(body_HEIGHTz.P+T.5e-08)
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Height body height 18,937
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002600/ScoringFiles/PGS002600.txt.gz
PGS002649
(body_HEIGHTz.PolyFun-pred)
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Height body height 478,839
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002649/ScoringFiles/PGS002649.txt.gz
PGS002698
(body_HEIGHTz.SBayesR)
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Height body height 986,966
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002698/ScoringFiles/PGS002698.txt.gz
PGS002748
(PRS_251)
 PGP000361 |
Chiou JS et al. BMC Med (2022)
 Height body height 251
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002748/ScoringFiles/PGS002748.txt.gz
PGS002800
(GIANT_HEIGHT_YENGO_2022_PGS_WEIGHTS_SAS)
 PGP000382 |
Yengo L et al. Nature (2022)
 Height body height 1,156,741
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002800/ScoringFiles/PGS002800.txt.gz
PGS002801
(GIANT_HEIGHT_YENGO_2022_PGS_WEIGHTS_AFR)
 PGP000382 |
Yengo L et al. Nature (2022)
 Height body height 975,455
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002801/ScoringFiles/PGS002801.txt.gz
PGS002802
(GIANT_HEIGHT_YENGO_2022_PGS_WEIGHTS_ALL)
 PGP000382 |
Yengo L et al. Nature (2022)
 Height body height 1,103,042
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002802/ScoringFiles/PGS002802.txt.gz
PGS002803
(GIANT_HEIGHT_YENGO_2022_PGS_WEIGHTS_EAS)
 PGP000382 |
Yengo L et al. Nature (2022)
 Height body height 990,792
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002803/ScoringFiles/PGS002803.txt.gz
PGS002804
(GIANT_HEIGHT_YENGO_2022_PGS_WEIGHTS_EUR)
 PGP000382 |
Yengo L et al. Nature (2022)
 Height body height 1,099,005
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002804/ScoringFiles/PGS002804.txt.gz
PGS002805
(GIANT_HEIGHT_YENGO_2022_PGS_WEIGHTS_HIS)
 PGP000382 |
Yengo L et al. Nature (2022)
 Height body height 1,245,514
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002805/ScoringFiles/PGS002805.txt.gz
PGS002964
(ExPRSweb_Height_50-irnt_LASSOSUM_MGI_20211120)
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Height body height 1,291,379
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002964/ScoringFiles/PGS002964.txt.gz
PGS002965
(ExPRSweb_Height_50-irnt_PT_MGI_20211120)
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Height body height 34,284
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002965/ScoringFiles/PGS002965.txt.gz
PGS002966
(ExPRSweb_Height_50-irnt_PLINK_MGI_20211120)
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Height body height 49,307
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002966/ScoringFiles/PGS002966.txt.gz
PGS002967
(ExPRSweb_Height_50-irnt_DBSLMM_MGI_20211120)
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Height body height 10,297,259
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002967/ScoringFiles/PGS002967.txt.gz
PGS002968
(ExPRSweb_Height_50-irnt_PRSCS_MGI_20211120)
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Height body height 1,113,832
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002968/ScoringFiles/PGS002968.txt.gz
PGS002969
(ExPRSweb_Height_50-raw_LASSOSUM_MGI_20211120)
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Height body height 1,296,068
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002969/ScoringFiles/PGS002969.txt.gz
PGS002970
(ExPRSweb_Height_50-raw_PT_MGI_20211120)
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Height body height 31,805
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002970/ScoringFiles/PGS002970.txt.gz
PGS002971
(ExPRSweb_Height_50-raw_PLINK_MGI_20211120)
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Height body height 44,500
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002971/ScoringFiles/PGS002971.txt.gz
PGS002972
(ExPRSweb_Height_50-raw_DBSLMM_MGI_20211120)
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Height body height 10,297,262
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002972/ScoringFiles/PGS002972.txt.gz
PGS002973
(ExPRSweb_Height_50-raw_PRSCS_MGI_20211120)
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Height body height 1,113,832
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002973/ScoringFiles/PGS002973.txt.gz
PGS002974
(ExPRSweb_Height_GIANT-Yang2012-height_LASSOSUM_MGI_20211120)
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Height body height 66,842
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002974/ScoringFiles/PGS002974.txt.gz
PGS002975
(ExPRSweb_Height_GIANT-Yang2012-height_PT_MGI_20211120)
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Height body height 22,154
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002975/ScoringFiles/PGS002975.txt.gz
PGS002976
(ExPRSweb_Height_GIANT-Yang2012-height_PLINK_MGI_20211120)
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Height body height 22,443
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002976/ScoringFiles/PGS002976.txt.gz
PGS002977
(ExPRSweb_Height_GIANT-Yang2012-height_DBSLMM_MGI_20211120)
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Height body height 1,851,736
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002977/ScoringFiles/PGS002977.txt.gz
PGS002978
(ExPRSweb_Height_GIANT-Yang2012-height_PRSCS_MGI_20211120)
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Height body height 996,356
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002978/ScoringFiles/PGS002978.txt.gz
PGS002979
(ExPRSweb_Height_ieu-a-89_LASSOSUM_MGI_20211120)
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Height body height 280,347
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002979/ScoringFiles/PGS002979.txt.gz
PGS002980
(ExPRSweb_Height_ieu-a-89_PT_MGI_20211120)
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Height body height 2,469
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002980/ScoringFiles/PGS002980.txt.gz
PGS002981
(ExPRSweb_Height_ieu-a-89_PLINK_MGI_20211120)
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Height body height 2,500
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002981/ScoringFiles/PGS002981.txt.gz
PGS002982
(ExPRSweb_Height_ieu-a-89_DBSLMM_MGI_20211120)
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Height body height 912,901
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002982/ScoringFiles/PGS002982.txt.gz
PGS002983
(ExPRSweb_Height_ieu-a-89_PRSCS_MGI_20211120)
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Height body height 915,020
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002983/ScoringFiles/PGS002983.txt.gz
PGS002984
(ExPRSweb_Height_GIANT-Yang2012-height_LASSOSUM_UKB_20211120)
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Height body height 67,333
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002984/ScoringFiles/PGS002984.txt.gz
PGS002985
(ExPRSweb_Height_GIANT-Yang2012-height_PT_UKB_20211120)
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Height body height 31,267
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002985/ScoringFiles/PGS002985.txt.gz
PGS002986
(ExPRSweb_Height_GIANT-Yang2012-height_PLINK_UKB_20211120)
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Height body height 31,700
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002986/ScoringFiles/PGS002986.txt.gz
PGS002987
(ExPRSweb_Height_GIANT-Yang2012-height_DBSLMM_UKB_20211120)
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Height body height 1,661,426
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002987/ScoringFiles/PGS002987.txt.gz
PGS002988
(ExPRSweb_Height_GIANT-Yang2012-height_PRSCS_UKB_20211120)
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Height body height 996,840
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002988/ScoringFiles/PGS002988.txt.gz
PGS002989
(ExPRSweb_Height_ieu-a-89_LASSOSUM_UKB_20211120)
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Height body height 282,132
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002989/ScoringFiles/PGS002989.txt.gz
PGS002990
(ExPRSweb_Height_ieu-a-89_PT_UKB_20211120)
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Height body height 6,903
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002990/ScoringFiles/PGS002990.txt.gz
PGS002991
(ExPRSweb_Height_ieu-a-89_PLINK_UKB_20211120)
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Height body height 7,080
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002991/ScoringFiles/PGS002991.txt.gz
PGS002992
(ExPRSweb_Height_ieu-a-89_DBSLMM_UKB_20211120)
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Height body height 464,103
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002992/ScoringFiles/PGS002992.txt.gz
PGS002993
(ExPRSweb_Height_ieu-a-89_PRSCS_UKB_20211120)
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Height body height 915,553
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002993/ScoringFiles/PGS002993.txt.gz
PGS003514
(cont-decay-height)
 PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre		 Standing height body height 979,739
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003514/ScoringFiles/PGS003514.txt.gz
PGS003835
(height_EUR_CT)
 PGP000489 |
Zhang H et al. Nat Genet (2023)
 Height body height 4,847
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003835/ScoringFiles/PGS003835.txt.gz
PGS003836
(height_EUR_LDpred2)
 PGP000489 |
Zhang H et al. Nat Genet (2023)
 Height body height 564,325
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003836/ScoringFiles/PGS003836.txt.gz
PGS003837
(height_AFR_CT)
 PGP000489 |
Zhang H et al. Nat Genet (2023)
 Height body height 49
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003837/ScoringFiles/PGS003837.txt.gz
PGS003838
(height_AFR_LDpred2)
 PGP000489 |
Zhang H et al. Nat Genet (2023)
 Height body height 752,195
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003838/ScoringFiles/PGS003838.txt.gz
PGS003839
(height_AFR_weighted_LDpred2)
 PGP000489 |
Zhang H et al. Nat Genet (2023)
 Height body height 817,204
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003839/ScoringFiles/PGS003839.txt.gz
PGS003840
(height_AFR_PRSCSx)
 PGP000489 |
Zhang H et al. Nat Genet (2023)
 Height body height 300,880
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003840/ScoringFiles/PGS003840.txt.gz
PGS003841
(height_AFR_CTSLEB)
 PGP000489 |
Zhang H et al. Nat Genet (2023)
 Height body height 741,637
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003841/ScoringFiles/PGS003841.txt.gz
PGS003888
(Height_PRScsx_ARB_AMRweights)
 PGP000501 |
Shim I et al. Nature Communications (2023)
 Height body height 1,067,771
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003888/ScoringFiles/PGS003888.txt.gz
PGS003889
(Height_PRScsx_ARB_ARBweights)
 PGP000501 |
Shim I et al. Nature Communications (2023)
 Height body height 882,001
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003889/ScoringFiles/PGS003889.txt.gz
PGS003890
(Height_PRScsx_ARB_EASweights)
 PGP000501 |
Shim I et al. Nature Communications (2023)
 Height body height 941,406
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003890/ScoringFiles/PGS003890.txt.gz
PGS003891
(Height_PRScsx_ARB_EURweights)
 PGP000501 |
Shim I et al. Nature Communications (2023)
 Height body height 921,738
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003891/ScoringFiles/PGS003891.txt.gz
PGS003895
(INI50)
 PGP000502 |
Tanigawa Y et al. AJHG (2023)
 Standing height body height 62,419
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003895/ScoringFiles/PGS003895.txt.gz
PGS003995
(dbslmm.auto.GCST90018959.Height)
 PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre		 Height body height 1,119,867
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003995/ScoringFiles/PGS003995.txt.gz
PGS004011
(lassosum.auto.GCST90018959.Height)
 PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre		 Height body height 315,596
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004011/ScoringFiles/PGS004011.txt.gz
PGS004036
(ldpred2.auto.GCST90018959.Height)
 PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre		 Height body height 929,939
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004036/ScoringFiles/PGS004036.txt.gz
PGS004065
(megaprs.auto.GCST90018959.Height)
 PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre		 Height body height 980,499
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004065/ScoringFiles/PGS004065.txt.gz
PGS004095
(prscs.auto.GCST90018959.Height)
 PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre		 Height body height 1,088,125
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004095/ScoringFiles/PGS004095.txt.gz
PGS004119
(pt_clump.auto.GCST90018959.Height)
 PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre		 Height body height 2,632
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004119/ScoringFiles/PGS004119.txt.gz
PGS004149
(sbayesr.auto.GCST90018959.Height)
 PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre		 Height body height 962,278
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004149/ScoringFiles/PGS004149.txt.gz
PGS004211
(height_1)
 PGP000520 |
Raben TG et al. Sci Rep (2023)
 Standing height body height 21,950
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004211/ScoringFiles/PGS004211.txt.gz
PGS004212
(height_2)
 PGP000520 |
Raben TG et al. Sci Rep (2023)
 Standing height body height 27,779
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004212/ScoringFiles/PGS004212.txt.gz
PGS004213
(height_3)
 PGP000520 |
Raben TG et al. Sci Rep (2023)
 Standing height body height 21,984
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004213/ScoringFiles/PGS004213.txt.gz
PGS004214
(height_4)
 PGP000520 |
Raben TG et al. Sci Rep (2023)
 Standing height body height 23,686
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004214/ScoringFiles/PGS004214.txt.gz
PGS004215
(height_5)
 PGP000520 |
Raben TG et al. Sci Rep (2023)
 Standing height body height 22,938
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004215/ScoringFiles/PGS004215.txt.gz
PGS004407
(X50.score)
 PGP000561 |
Jung H et al. Commun Biol (2024)
 Standing height body height 1,059,939
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004407/ScoringFiles/PGS004407.txt.gz
PGS004779
(height_PRSmix_eur)
 PGP000604 |
Truong B et al. Cell Genom (2024)
 Height body height 1,357,287
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004779/ScoringFiles/PGS004779.txt.gz
PGS004780
(height_PRSmix_sas)
 PGP000604 |
Truong B et al. Cell Genom (2024)
 Height body height 5,967,476
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004780/ScoringFiles/PGS004780.txt.gz
PGS004781
(height_PRSmixPlus_eur)
 PGP000604 |
Truong B et al. Cell Genom (2024)
 Height body height 3,220,389
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004781/ScoringFiles/PGS004781.txt.gz
PGS004782
(height_PRSmixPlus_sas)
 PGP000604 |
Truong B et al. Cell Genom (2024)
 Height body height 1,612,712
-
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004782/ScoringFiles/PGS004782.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
PPM000757 PGS000297
(GRS3290_Height)
 PSS000375|
European Ancestry|
1,313 individuals
 PGP000092 |
Xie T et al. Circ Genom Precis Med (2020)
 Reported Trait: Height (cm) — — R²: 0.1172 Sex, age —
PPM000758 PGS000297
(GRS3290_Height)
 PSS000376|
European Ancestry|
1,354 individuals
 PGP000092 |
Xie T et al. Circ Genom Precis Med (2020)
 Reported Trait: Height (cm) — — R²: 0.1368 Sex, age —
PPM000759 PGS000297
(GRS3290_Height)
 PSS000377|
European Ancestry|
1,174 individuals
 PGP000092 |
Xie T et al. Circ Genom Precis Med (2020)
 Reported Trait: Height (cm) — — R²: 0.1273 Sex, age —
PPM000760 PGS000297
(GRS3290_Height)
 PSS000378|
European Ancestry|
1,095 individuals
 PGP000092 |
Xie T et al. Circ Genom Precis Med (2020)
 Reported Trait: Height (cm) — — R²: 0.1382 Sex, age —
PPM000756 PGS000297
(GRS3290_Height)
 PSS000374|
European Ancestry|
1,318 individuals
 PGP000092 |
Xie T et al. Circ Genom Precis Med (2020)
 Reported Trait: Height (cm) — — R²: 0.1192 Sex, age —
PPM000786 PGS000297
(GRS3290_Height)
 PSS000369|
European Ancestry|
334 individuals
 PGP000092 |
Xie T et al. Circ Genom Precis Med (2020)
 Reported Trait: Height (cm) — — R²: 0.087 Sex, age —
PPM000787 PGS000297
(GRS3290_Height)
 PSS000370|
European Ancestry|
329 individuals
 PGP000092 |
Xie T et al. Circ Genom Precis Med (2020)
 Reported Trait: Height (cm) — — R²: 0.0755 Sex, age —
PPM000788 PGS000297
(GRS3290_Height)
 PSS000371|
European Ancestry|
288 individuals
 PGP000092 |
Xie T et al. Circ Genom Precis Med (2020)
 Reported Trait: Height (cm) — — R²: 0.0887 Sex, age —
PPM000789 PGS000297
(GRS3290_Height)
 PSS000372|
European Ancestry|
265 individuals
 PGP000092 |
Xie T et al. Circ Genom Precis Med (2020)
 Reported Trait: Height (cm) — — R²: 0.0986 Sex, age —
PPM000790 PGS000297
(GRS3290_Height)
 PSS000373|
European Ancestry|
245 individuals
 PGP000092 |
Xie T et al. Circ Genom Precis Med (2020)
 Reported Trait: Height (cm) — — R²: 0.1158 Sex, age —
PPM001768 PGS000297
(GRS3290_Height)
 PSS000911|
Greater Middle Eastern Ancestry|
13,989 individuals
 PGP000147 |
Thareja G et al. Nat Commun (2021)
|Ext.		 Reported Trait: Height — — Pearson correlation coefficent (r): 0.15 — —
PPM001931 PGS000758
(LASSO_Height)
 PSS000967|
European Ancestry|
941 individuals
 PGP000163 |
Lu T et al. J Clin Endocrinol Metab (2021)
 Reported Trait: Short stature in adulthood — AUROC: 0.843 [0.796, 0.89] Area under the precision-recall curve (AUPRC): 0.284 [0.102, 0.5] Sex 33,783 SNPs were utilised from the 33,938 SNP score.
PPM001932 PGS000758
(LASSO_Height)
 PSS000967|
European Ancestry|
941 individuals
 PGP000163 |
Lu T et al. J Clin Endocrinol Metab (2021)
 Reported Trait: Short stature in adulthood (females) OR: 0.62 [0.5, 0.75] AUROC: 0.861 [0.814, 0.907] Area under the precision-recall curve (AUPRC): 0.373 [0.087, 0.651] — 33,783 SNPs were utilised from the 33,938 SNP score.
PPM001930 PGS000758
(LASSO_Height)
 PSS000967|
European Ancestry|
941 individuals
 PGP000163 |
Lu T et al. J Clin Endocrinol Metab (2021)
 Reported Trait: Standing height in adulthood — — R²: 0.71 [0.679, 0.741] Sex 33,783 SNPs were utilised from the 33,938 SNP score.
PPM001933 PGS000758
(LASSO_Height)
 PSS000967|
European Ancestry|
941 individuals
 PGP000163 |
Lu T et al. J Clin Endocrinol Metab (2021)
 Reported Trait: Short stature in adulthood (males) OR: 0.7 [0.57, 0.83] AUROC: 0.82 [0.731, 0.909] Area under the precision-recall curve (AUPRC): 0.181 [0.044, 0.518] — 33,783 SNPs were utilised from the 33,938 SNP score.
PPM001929 PGS000758
(LASSO_Height)
 PSS000969|
European Ancestry|
81,902 individuals
 PGP000163 |
Lu T et al. J Clin Endocrinol Metab (2021)
 Reported Trait: Standing height in adulthood — — R²: 0.711 [0.708, 0.714] Age, sex, recruitment center, genotyping array, PCs(1-20) —
PPM008659 PGS001229
(GBE_INI50)
 PSS007396|
African Ancestry|
6,407 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: Standing height — — R²: 0.50012 [0.48294, 0.5173]
Incremental R2 (full-covars): 0.02391
PGS R2 (no covariates): 0.03665 [0.02769, 0.04561]		 age, sex, UKB array type, Genotype PCs —
PPM008660 PGS001229
(GBE_INI50)
 PSS007397|
East Asian Ancestry|
1,697 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: Standing height — — R²: 0.60758 [0.5786, 0.63657]
Incremental R2 (full-covars): 0.06552
PGS R2 (no covariates): 0.09127 [0.06525, 0.11728]		 age, sex, UKB array type, Genotype PCs —
PPM008661 PGS001229
(GBE_INI50)
 PSS007398|
European Ancestry|
24,826 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: Standing height — — R²: 0.7018 [0.69559, 0.708]
Incremental R2 (full-covars): 0.16478
PGS R2 (no covariates): 0.1861 [0.17738, 0.19482]		 age, sex, UKB array type, Genotype PCs —
PPM008662 PGS001229
(GBE_INI50)
 PSS007399|
South Asian Ancestry|
7,650 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: Standing height — — R²: 0.66523 [0.65314, 0.67732]
Incremental R2 (full-covars): 0.08156
PGS R2 (no covariates): 0.08889 [0.07686, 0.10092]		 age, sex, UKB array type, Genotype PCs —
PPM008663 PGS001229
(GBE_INI50)
 PSS007400|
European Ancestry|
67,298 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: Standing height — — R²: 0.71726 [0.71364, 0.72087]
Incremental R2 (full-covars): 0.17893
PGS R2 (no covariates): 0.17757 [0.17234, 0.1828]		 age, sex, UKB array type, Genotype PCs —
PPM005231 PGS001405
(GBE_INI12144)
 PSS004802|
East Asian Ancestry|
133 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: Height — — R²: 0.509 [0.47581, 0.5422]
Incremental R2 (full-covars): 0.00258
PGS R2 (no covariates): 0.00401 [-0.00197, 0.00998]		 age, sex, UKB array type, Genotype PCs —
PPM005230 PGS001405
(GBE_INI12144)
 PSS004801|
African Ancestry|
253 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: Height — — R²: 0.58747 [0.5721, 0.60284]
Incremental R2 (full-covars): 0.01915
PGS R2 (no covariates): 0.00938 [0.00471, 0.01404]		 age, sex, UKB array type, Genotype PCs —
PPM005232 PGS001405
(GBE_INI12144)
 PSS004803|
European Ancestry|
2,131 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: Height — — R²: 0.59354 [0.58576, 0.60132]
Incremental R2 (full-covars): 0.04611
PGS R2 (no covariates): 0.05219 [0.04681, 0.05757]		 age, sex, UKB array type, Genotype PCs —
PPM005233 PGS001405
(GBE_INI12144)
 PSS004804|
South Asian Ancestry|
414 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: Height — — R²: 0.56418 [0.54969, 0.57868]
Incremental R2 (full-covars): 0.03739
PGS R2 (no covariates): 0.02079 [0.01454, 0.02704]		 age, sex, UKB array type, Genotype PCs —
PPM005234 PGS001405
(GBE_INI12144)
 PSS004805|
European Ancestry|
6,641 individuals
 PGP000244 |
Tanigawa Y et al. PLoS Genet (2022)
 Reported Trait: Height — — R²: 0.59871 [0.59403, 0.6034]
Incremental R2 (full-covars): 0.05016
PGS R2 (no covariates): 0.05141 [0.04816, 0.05466]		 age, sex, UKB array type, Genotype PCs —
PPM010307 PGS001929
(portability-PLR_height)
 PSS009416|
European Ancestry|
19,953 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Standing height — — Partial Correlation (partial-r): 0.6344 [0.626, 0.6426] sex, age, birth date, deprivation index, 16 PCs —
PPM010308 PGS001929
(portability-PLR_height)
 PSS009190|
European Ancestry|
4,126 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Standing height — — Partial Correlation (partial-r): 0.6098 [0.5902, 0.6286] sex, age, birth date, deprivation index, 16 PCs —
PPM010310 PGS001929
(portability-PLR_height)
 PSS008518|
Greater Middle Eastern Ancestry|
1,180 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Standing height — — Partial Correlation (partial-r): 0.5167 [0.4732, 0.5576] sex, age, birth date, deprivation index, 16 PCs —
PPM010311 PGS001929
(portability-PLR_height)
 PSS008296|
South Asian Ancestry|
6,152 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Standing height — — Partial Correlation (partial-r): 0.4923 [0.4731, 0.511] sex, age, birth date, deprivation index, 16 PCs —
PPM010312 PGS001929
(portability-PLR_height)
 PSS008073|
East Asian Ancestry|
1,801 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Standing height — — Partial Correlation (partial-r): 0.4504 [0.4125, 0.4866] sex, age, birth date, deprivation index, 16 PCs —
PPM010313 PGS001929
(portability-PLR_height)
 PSS007860|
African Ancestry|
2,450 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Standing height — — Partial Correlation (partial-r): 0.3454 [0.3099, 0.3799] sex, age, birth date, deprivation index, 16 PCs —
PPM010314 PGS001929
(portability-PLR_height)
 PSS008964|
African Ancestry|
3,863 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Standing height — — Partial Correlation (partial-r): 0.2731 [0.2436, 0.3021] sex, age, birth date, deprivation index, 16 PCs —
PPM010309 PGS001929
(portability-PLR_height)
 PSS008744|
European Ancestry|
6,633 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Standing height — — Partial Correlation (partial-r): 0.5938 [0.578, 0.6092] sex, age, birth date, deprivation index, 16 PCs —
PPM012015 PGS002146
(portability-ldpred2_height)
 PSS009416|
European Ancestry|
19,953 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Standing height — — Partial Correlation (partial-r): 0.6133 [0.6046, 0.6219] sex, age, birth date, deprivation index, 16 PCs —
PPM012016 PGS002146
(portability-ldpred2_height)
 PSS009190|
European Ancestry|
4,126 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Standing height — — Partial Correlation (partial-r): 0.5922 [0.5719, 0.6117] sex, age, birth date, deprivation index, 16 PCs —
PPM012017 PGS002146
(portability-ldpred2_height)
 PSS008744|
European Ancestry|
6,633 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Standing height — — Partial Correlation (partial-r): 0.5752 [0.5589, 0.5911] sex, age, birth date, deprivation index, 16 PCs —
PPM012018 PGS002146
(portability-ldpred2_height)
 PSS008518|
Greater Middle Eastern Ancestry|
1,180 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Standing height — — Partial Correlation (partial-r): 0.4948 [0.4501, 0.5371] sex, age, birth date, deprivation index, 16 PCs —
PPM012019 PGS002146
(portability-ldpred2_height)
 PSS008296|
South Asian Ancestry|
6,152 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Standing height — — Partial Correlation (partial-r): 0.4752 [0.4556, 0.4943] sex, age, birth date, deprivation index, 16 PCs —
PPM012020 PGS002146
(portability-ldpred2_height)
 PSS008073|
East Asian Ancestry|
1,801 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Standing height — — Partial Correlation (partial-r): 0.4297 [0.3911, 0.4668] sex, age, birth date, deprivation index, 16 PCs —
PPM012021 PGS002146
(portability-ldpred2_height)
 PSS007860|
African Ancestry|
2,450 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Standing height — — Partial Correlation (partial-r): 0.3207 [0.2846, 0.356] sex, age, birth date, deprivation index, 16 PCs —
PPM012022 PGS002146
(portability-ldpred2_height)
 PSS008964|
African Ancestry|
3,863 individuals
 PGP000263 |
Privé F et al. Am J Hum Genet (2022)
 Reported Trait: Standing height — — Partial Correlation (partial-r): 0.2554 [0.2256, 0.2847] sex, age, birth date, deprivation index, 16 PCs —
PPM013097 PGS002332
(body_HEIGHTz.BOLT-LMM)
 PSS009771|
African Ancestry|
6,410 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Height — — Incremental R2 (full model vs. covariates alone): 0.0862 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM013195 PGS002332
(body_HEIGHTz.BOLT-LMM)
 PSS009773|
European Ancestry|
43,376 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Height — — Incremental R2 (full model vs. covariates alone): 0.3593 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM013244 PGS002332
(body_HEIGHTz.BOLT-LMM)
 PSS009774|
South Asian Ancestry|
7,921 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Height — — Incremental R2 (full model vs. covariates alone): 0.2245 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM013146 PGS002332
(body_HEIGHTz.BOLT-LMM)
 PSS009772|
East Asian Ancestry|
916 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Height — — Incremental R2 (full model vs. covariates alone): 0.1592 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM013280 PGS002368
(body_HEIGHTz.BOLT-LMM-BBJ)
 PSS009771|
African Ancestry|
6,410 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Height — — Incremental R2 (full model vs. covariates alone): 0.0088 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM013303 PGS002368
(body_HEIGHTz.BOLT-LMM-BBJ)
 PSS009772|
East Asian Ancestry|
916 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Height — — Incremental R2 (full model vs. covariates alone): 0.1462 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM013326 PGS002368
(body_HEIGHTz.BOLT-LMM-BBJ)
 PSS009773|
European Ancestry|
43,376 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Height — — Incremental R2 (full model vs. covariates alone): 0.0353 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM013349 PGS002368
(body_HEIGHTz.BOLT-LMM-BBJ)
 PSS009774|
South Asian Ancestry|
7,921 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Height — — Incremental R2 (full model vs. covariates alone): 0.0429 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM013385 PGS002404
(body_HEIGHTz.P+T.0.0001)
 PSS009771|
African Ancestry|
6,410 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Height — — Incremental R2 (full model vs. covariates alone): 0.012 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM013434 PGS002404
(body_HEIGHTz.P+T.0.0001)
 PSS009772|
East Asian Ancestry|
916 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Height — — Incremental R2 (full model vs. covariates alone): 0.0968 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM013532 PGS002404
(body_HEIGHTz.P+T.0.0001)
 PSS009774|
South Asian Ancestry|
7,921 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Height — — Incremental R2 (full model vs. covariates alone): 0.1346 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM013483 PGS002404
(body_HEIGHTz.P+T.0.0001)
 PSS009773|
European Ancestry|
43,376 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Height — — Incremental R2 (full model vs. covariates alone): 0.2341 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM013581 PGS002453
(body_HEIGHTz.P+T.0.001)
 PSS009771|
African Ancestry|
6,410 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Height — — Incremental R2 (full model vs. covariates alone): 0.0049 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM013630 PGS002453
(body_HEIGHTz.P+T.0.001)
 PSS009772|
East Asian Ancestry|
916 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Height — — Incremental R2 (full model vs. covariates alone): 0.0953 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM013728 PGS002453
(body_HEIGHTz.P+T.0.001)
 PSS009774|
South Asian Ancestry|
7,921 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Height — — Incremental R2 (full model vs. covariates alone): 0.1336 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM013679 PGS002453
(body_HEIGHTz.P+T.0.001)
 PSS009773|
European Ancestry|
43,376 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Height — — Incremental R2 (full model vs. covariates alone): 0.2461 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM013777 PGS002502
(body_HEIGHTz.P+T.0.01)
 PSS009771|
African Ancestry|
6,410 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Height — — Incremental R2 (full model vs. covariates alone): 0.0008 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM013826 PGS002502
(body_HEIGHTz.P+T.0.01)
 PSS009772|
East Asian Ancestry|
916 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Height — — Incremental R2 (full model vs. covariates alone): 0.0353 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM013875 PGS002502
(body_HEIGHTz.P+T.0.01)
 PSS009773|
European Ancestry|
43,376 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Height — — Incremental R2 (full model vs. covariates alone): 0.2204 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM013924 PGS002502
(body_HEIGHTz.P+T.0.01)
 PSS009774|
South Asian Ancestry|
7,921 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Height — — Incremental R2 (full model vs. covariates alone): 0.0697 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM013973 PGS002551
(body_HEIGHTz.P+T.1e-06)
 PSS009771|
African Ancestry|
6,410 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Height — — Incremental R2 (full model vs. covariates alone): 0.0455 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM014022 PGS002551
(body_HEIGHTz.P+T.1e-06)
 PSS009772|
East Asian Ancestry|
916 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Height — — Incremental R2 (full model vs. covariates alone): 0.099 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM014071 PGS002551
(body_HEIGHTz.P+T.1e-06)
 PSS009773|
European Ancestry|
43,376 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Height — — Incremental R2 (full model vs. covariates alone): 0.207 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM014120 PGS002551
(body_HEIGHTz.P+T.1e-06)
 PSS009774|
South Asian Ancestry|
7,921 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Height — — Incremental R2 (full model vs. covariates alone): 0.1235 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM014169 PGS002600
(body_HEIGHTz.P+T.5e-08)
 PSS009771|
African Ancestry|
6,410 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Height — — Incremental R2 (full model vs. covariates alone): 0.0447 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM014218 PGS002600
(body_HEIGHTz.P+T.5e-08)
 PSS009772|
East Asian Ancestry|
916 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Height — — Incremental R2 (full model vs. covariates alone): 0.0997 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM014267 PGS002600
(body_HEIGHTz.P+T.5e-08)
 PSS009773|
European Ancestry|
43,376 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Height — — Incremental R2 (full model vs. covariates alone): 0.1921 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM014316 PGS002600
(body_HEIGHTz.P+T.5e-08)
 PSS009774|
South Asian Ancestry|
7,921 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Height — — Incremental R2 (full model vs. covariates alone): 0.1136 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM014463 PGS002649
(body_HEIGHTz.PolyFun-pred)
 PSS009773|
European Ancestry|
43,376 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Height — — Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.3823 age, sex, age*sex, assessment center, genotyping array, 10 PCs See body_HEIGHTz.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights
PPM014365 PGS002649
(body_HEIGHTz.PolyFun-pred)
 PSS009771|
African Ancestry|
6,410 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Height — — Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.1149 age, sex, age*sex, assessment center, genotyping array, 10 PCs See body_HEIGHTz.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights
PPM014414 PGS002649
(body_HEIGHTz.PolyFun-pred)
 PSS009772|
East Asian Ancestry|
916 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Height — — Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.1634 age, sex, age*sex, assessment center, genotyping array, 10 PCs See body_HEIGHTz.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights
PPM014512 PGS002649
(body_HEIGHTz.PolyFun-pred)
 PSS009774|
South Asian Ancestry|
7,921 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Height — — Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.2378 age, sex, age*sex, assessment center, genotyping array, 10 PCs See body_HEIGHTz.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights
PPM014561 PGS002698
(body_HEIGHTz.SBayesR)
 PSS009771|
African Ancestry|
6,410 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Height — — Incremental R2 (full model vs. covariates alone): 0.0852 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM014610 PGS002698
(body_HEIGHTz.SBayesR)
 PSS009772|
East Asian Ancestry|
916 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Height — — Incremental R2 (full model vs. covariates alone): 0.1499 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM014659 PGS002698
(body_HEIGHTz.SBayesR)
 PSS009773|
European Ancestry|
43,376 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Height — — Incremental R2 (full model vs. covariates alone): 0.3449 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM014708 PGS002698
(body_HEIGHTz.SBayesR)
 PSS009774|
South Asian Ancestry|
7,921 individuals
 PGP000332 |
Weissbrod O et al. Nat Genet (2022)
 Reported Trait: Height — — Incremental R2 (full model vs. covariates alone): 0.212 age, sex, age*sex, assessment center, genotyping array, 10 PCs —
PPM014929 PGS002748
(PRS_251)
 PSS009934|
East Asian Ancestry|
28,909 individuals
 PGP000361 |
Chiou JS et al. BMC Med (2022)
 Reported Trait: Height (male) β: 0.257 — — — —
PPM014930 PGS002748
(PRS_251)
 PSS009934|
East Asian Ancestry|
28,909 individuals
 PGP000361 |
Chiou JS et al. BMC Med (2022)
 Reported Trait: Height (female) β: 0.274 — — — —
PPM014931 PGS002748
(PRS_251)
 PSS009934|
East Asian Ancestry|
28,909 individuals
 PGP000361 |
Chiou JS et al. BMC Med (2022)
 Reported Trait: Body weight β: 1.218 [1.141, 1.296] — — — —
PPM014932 PGS002748
(PRS_251)
 PSS009934|
East Asian Ancestry|
28,909 individuals
 PGP000361 |
Chiou JS et al. BMC Med (2022)
 Reported Trait: Waist circumference β: 0.446 [0.375, 0.517] — — — —
PPM014933 PGS002748
(PRS_251)
 PSS009934|
East Asian Ancestry|
28,909 individuals
 PGP000361 |
Chiou JS et al. BMC Med (2022)
 Reported Trait: Hip circumference β: 0.601 [0.549, 0.652] — — — —
PPM014934 PGS002748
(PRS_251)
 PSS009934|
East Asian Ancestry|
28,909 individuals
 PGP000361 |
Chiou JS et al. BMC Med (2022)
 Reported Trait: Body mass index β: -0.084 [-0.111, -0.056] — — — —
PPM014935 PGS002748
(PRS_251)
 PSS009934|
East Asian Ancestry|
28,909 individuals
 PGP000361 |
Chiou JS et al. BMC Med (2022)
 Reported Trait: Waist‐hip ratio β: -0.001 [-0.001, 0.0] — — — —
PPM014936 PGS002748
(PRS_251)
 PSS009934|
East Asian Ancestry|
28,909 individuals
 PGP000361 |
Chiou JS et al. BMC Med (2022)
 Reported Trait: Body fat β: -0.14 [-0.186, -0.095] — — — —
PPM014937 PGS002748
(PRS_251)
 PSS009934|
East Asian Ancestry|
28,909 individuals
 PGP000361 |
Chiou JS et al. BMC Med (2022)
 Reported Trait: Total cholesterol β: -0.587 [-0.853, -0.321] — — — —
PPM014938 PGS002748
(PRS_251)
 PSS009934|
East Asian Ancestry|
28,909 individuals
 PGP000361 |
Chiou JS et al. BMC Med (2022)
 Reported Trait: Low‐density lipoprotein cholesterol β: -0.629 [-0.867, -0.391] — — — —
PPM015528 PGS002800
(GIANT_HEIGHT_YENGO_2022_PGS_WEIGHTS_SAS)
 PSS009976|
South Asian Ancestry|
9,257 individuals
 PGP000382 |
Yengo L et al. Nature (2022)
 Reported Trait: Height — — R²: 0.033 age, sex and 10 genetic principal components —
PPM015534 PGS002801
(GIANT_HEIGHT_YENGO_2022_PGS_WEIGHTS_AFR)
 PSS009977|
African Ancestry|
6,911 individuals
 PGP000382 |
Yengo L et al. Nature (2022)
 Reported Trait: Height — — R²: 0.085 age, sex and 10 genetic principal components —
PPM015536 PGS002801
(GIANT_HEIGHT_YENGO_2022_PGS_WEIGHTS_AFR)
 PSS009978|
African Ancestry|
8,238 individuals
 PGP000382 |
Yengo L et al. Nature (2022)
 Reported Trait: Height — — R²: 0.085 age, sex and 10 genetic principal components —
PPM015523 PGS002802
(GIANT_HEIGHT_YENGO_2022_PGS_WEIGHTS_ALL)
 PSS009974|
European Ancestry|
14,587 individuals
 PGP000382 |
Yengo L et al. Nature (2022)
 Reported Trait: Height — — R²: 0.401 age, sex and 10 genetic principal components —
PPM015525 PGS002802
(GIANT_HEIGHT_YENGO_2022_PGS_WEIGHTS_ALL)
 PSS009973|
European Ancestry|
14,058 individuals
 PGP000382 |
Yengo L et al. Nature (2022)
 Reported Trait: Height — — R²: 0.399 age, sex and 10 genetic principal components —
PPM015527 PGS002802
(GIANT_HEIGHT_YENGO_2022_PGS_WEIGHTS_ALL)
 PSS009976|
South Asian Ancestry|
9,257 individuals
 PGP000382 |
Yengo L et al. Nature (2022)
 Reported Trait: Height — — R²: 0.214 age, sex and 10 genetic principal components —
PPM015529 PGS002802
(GIANT_HEIGHT_YENGO_2022_PGS_WEIGHTS_ALL)
 PSS009972|
East Asian Ancestry|
2,246 individuals
 PGP000382 |
Yengo L et al. Nature (2022)
 Reported Trait: Height — — R²: 0.202 age, sex and 10 genetic principal components —
PPM015531 PGS002802
(GIANT_HEIGHT_YENGO_2022_PGS_WEIGHTS_ALL)
 PSS009975|
Hispanic or Latin American Ancestry|
5,798 individuals
 PGP000382 |
Yengo L et al. Nature (2022)
 Reported Trait: Height — — R²: 0.201 age, sex and 10 genetic principal components —
PPM015533 PGS002802
(GIANT_HEIGHT_YENGO_2022_PGS_WEIGHTS_ALL)
 PSS009977|
African Ancestry|
6,911 individuals
 PGP000382 |
Yengo L et al. Nature (2022)
 Reported Trait: Height — — R²: 0.123 age, sex and 10 genetic principal components —
PPM015535 PGS002802
(GIANT_HEIGHT_YENGO_2022_PGS_WEIGHTS_ALL)
 PSS009978|
African Ancestry|
8,238 individuals
 PGP000382 |
Yengo L et al. Nature (2022)
 Reported Trait: Height — — R²: 0.094 age, sex and 10 genetic principal components —
PPM015530 PGS002803
(GIANT_HEIGHT_YENGO_2022_PGS_WEIGHTS_EAS)
 PSS009972|
East Asian Ancestry|
2,246 individuals
 PGP000382 |
Yengo L et al. Nature (2022)
 Reported Trait: Height — — R²: 0.157 age, sex and 10 genetic principal components —
PPM015524 PGS002804
(GIANT_HEIGHT_YENGO_2022_PGS_WEIGHTS_EUR)
 PSS009974|
European Ancestry|
14,587 individuals
 PGP000382 |
Yengo L et al. Nature (2022)
 Reported Trait: Height — — R²: 0.401 age, sex and 10 genetic principal components —
PPM015526 PGS002804
(GIANT_HEIGHT_YENGO_2022_PGS_WEIGHTS_EUR)
 PSS009973|
European Ancestry|
14,058 individuals
 PGP000382 |
Yengo L et al. Nature (2022)
 Reported Trait: Height — — R²: 0.4 age, sex and 10 genetic principal components —
PPM015532 PGS002805
(GIANT_HEIGHT_YENGO_2022_PGS_WEIGHTS_HIS)
 PSS009975|
Hispanic or Latin American Ancestry|
5,798 individuals
 PGP000382 |
Yengo L et al. Nature (2022)
 Reported Trait: Height — — R²: 0.131 age, sex and 10 genetic principal components —
PPM015843 PGS002964
(ExPRSweb_Height_50-irnt_LASSOSUM_MGI_20211120)
 PSS010007|
European Ancestry|
23,349 individuals
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Reported Trait: Height β: 3.64 (0.0391) — R²: 0.134 SEX,AGE,Batch,PC1,PC2,PC3,PC4 —
PPM015846 PGS002965
(ExPRSweb_Height_50-irnt_PT_MGI_20211120)
 PSS010007|
European Ancestry|
23,349 individuals
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Reported Trait: Height β: 3.52 (0.0396) — R²: 0.125 SEX,AGE,Batch,PC1,PC2,PC3,PC4 —
PPM015844 PGS002966
(ExPRSweb_Height_50-irnt_PLINK_MGI_20211120)
 PSS010007|
European Ancestry|
23,349 individuals
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Reported Trait: Height β: 3.51 (0.0398) — R²: 0.125 SEX,AGE,Batch,PC1,PC2,PC3,PC4 —
PPM015842 PGS002967
(ExPRSweb_Height_50-irnt_DBSLMM_MGI_20211120)
 PSS010007|
European Ancestry|
23,349 individuals
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Reported Trait: Height β: 2.4 (0.0426) — R²: 0.0613 SEX,AGE,Batch,PC1,PC2,PC3,PC4 —
PPM015845 PGS002968
(ExPRSweb_Height_50-irnt_PRSCS_MGI_20211120)
 PSS010007|
European Ancestry|
23,349 individuals
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Reported Trait: Height β: 3.69 (0.0387) — R²: 0.138 SEX,AGE,Batch,PC1,PC2,PC3,PC4 —
PPM015848 PGS002969
(ExPRSweb_Height_50-raw_LASSOSUM_MGI_20211120)
 PSS010007|
European Ancestry|
23,349 individuals
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Reported Trait: Height β: 3.65 (0.0391) — R²: 0.135 SEX,AGE,Batch,PC1,PC2,PC3,PC4 —
PPM015851 PGS002970
(ExPRSweb_Height_50-raw_PT_MGI_20211120)
 PSS010007|
European Ancestry|
23,349 individuals
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Reported Trait: Height β: 3.53 (0.0396) — R²: 0.126 SEX,AGE,Batch,PC1,PC2,PC3,PC4 —
PPM015849 PGS002971
(ExPRSweb_Height_50-raw_PLINK_MGI_20211120)
 PSS010007|
European Ancestry|
23,349 individuals
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Reported Trait: Height β: 3.51 (0.0396) — R²: 0.125 SEX,AGE,Batch,PC1,PC2,PC3,PC4 —
PPM015847 PGS002972
(ExPRSweb_Height_50-raw_DBSLMM_MGI_20211120)
 PSS010007|
European Ancestry|
23,349 individuals
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Reported Trait: Height β: 2.41 (0.0425) — R²: 0.0619 SEX,AGE,Batch,PC1,PC2,PC3,PC4 —
PPM015850 PGS002973
(ExPRSweb_Height_50-raw_PRSCS_MGI_20211120)
 PSS010007|
European Ancestry|
23,349 individuals
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Reported Trait: Height β: 3.7 (0.0386) — R²: 0.139 SEX,AGE,Batch,PC1,PC2,PC3,PC4 —
PPM015854 PGS002974
(ExPRSweb_Height_GIANT-Yang2012-height_LASSOSUM_MGI_20211120)
 PSS010007|
European Ancestry|
23,349 individuals
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Reported Trait: Height β: 0.0721 (0.0462) — R²: 6e-05 SEX,AGE,Batch,PC1,PC2,PC3,PC4 —
PPM015860 PGS002975
(ExPRSweb_Height_GIANT-Yang2012-height_PT_MGI_20211120)
 PSS010007|
European Ancestry|
23,349 individuals
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Reported Trait: Height β: 0.162 (0.0533) — R²: 0.00014 SEX,AGE,Batch,PC1,PC2,PC3,PC4 —
PPM015856 PGS002976
(ExPRSweb_Height_GIANT-Yang2012-height_PLINK_MGI_20211120)
 PSS010007|
European Ancestry|
23,349 individuals
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Reported Trait: Height β: 0.176 (0.0535) — R²: 0.00012 SEX,AGE,Batch,PC1,PC2,PC3,PC4 —
PPM015852 PGS002977
(ExPRSweb_Height_GIANT-Yang2012-height_DBSLMM_MGI_20211120)
 PSS010007|
European Ancestry|
23,349 individuals
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Reported Trait: Height β: 0.0806 (0.0446) — R²: 3e-05 SEX,AGE,Batch,PC1,PC2,PC3,PC4 —
PPM015858 PGS002978
(ExPRSweb_Height_GIANT-Yang2012-height_PRSCS_MGI_20211120)
 PSS010007|
European Ancestry|
23,349 individuals
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Reported Trait: Height β: 0.105 (0.0468) — R²: 3e-05 SEX,AGE,Batch,PC1,PC2,PC3,PC4 —
PPM015864 PGS002979
(ExPRSweb_Height_ieu-a-89_LASSOSUM_MGI_20211120)
 PSS010007|
European Ancestry|
23,349 individuals
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Reported Trait: Height β: 2.79 (0.0488) — R²: 0.0563 SEX,AGE,Batch,PC1,PC2,PC3,PC4 —
PPM015870 PGS002980
(ExPRSweb_Height_ieu-a-89_PT_MGI_20211120)
 PSS010007|
European Ancestry|
23,349 individuals
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Reported Trait: Height β: 3.21 (0.0455) — R²: 0.0834 SEX,AGE,Batch,PC1,PC2,PC3,PC4 —
PPM015866 PGS002981
(ExPRSweb_Height_ieu-a-89_PLINK_MGI_20211120)
 PSS010007|
European Ancestry|
23,349 individuals
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Reported Trait: Height β: 3.12 (0.0449) — R²: 0.0819 SEX,AGE,Batch,PC1,PC2,PC3,PC4 —
PPM015862 PGS002982
(ExPRSweb_Height_ieu-a-89_DBSLMM_MGI_20211120)
 PSS010007|
European Ancestry|
23,349 individuals
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Reported Trait: Height β: 0.992 (0.0493) — R²: 0.012 SEX,AGE,Batch,PC1,PC2,PC3,PC4 —
PPM015868 PGS002983
(ExPRSweb_Height_ieu-a-89_PRSCS_MGI_20211120)
 PSS010007|
European Ancestry|
23,349 individuals
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Reported Trait: Height β: 3.32 (0.0521) — R²: 0.0599 SEX,AGE,Batch,PC1,PC2,PC3,PC4 —
PPM015855 PGS002984
(ExPRSweb_Height_GIANT-Yang2012-height_LASSOSUM_UKB_20211120)
 PSS010029|
European Ancestry|
203,681 individuals
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Reported Trait: Height β: 2.78 (0.0126) — R²: 0.0888 Sex,birthYear,genotyping.array,PC1,PC2,PC3,PC4 —
PPM015861 PGS002985
(ExPRSweb_Height_GIANT-Yang2012-height_PT_UKB_20211120)
 PSS010029|
European Ancestry|
203,681 individuals
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Reported Trait: Height β: 0.0594 (0.014) — R²: 8e-05 Sex,birthYear,genotyping.array,PC1,PC2,PC3,PC4 —
PPM015857 PGS002986
(ExPRSweb_Height_GIANT-Yang2012-height_PLINK_UKB_20211120)
 PSS010029|
European Ancestry|
203,681 individuals
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Reported Trait: Height β: 0.06 (0.014) — R²: 8e-05 Sex,birthYear,genotyping.array,PC1,PC2,PC3,PC4 —
PPM015853 PGS002987
(ExPRSweb_Height_GIANT-Yang2012-height_DBSLMM_UKB_20211120)
 PSS010029|
European Ancestry|
203,681 individuals
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Reported Trait: Height β: 0.525 (0.014) — R²: 0.00307 Sex,birthYear,genotyping.array,PC1,PC2,PC3,PC4 —
PPM015859 PGS002988
(ExPRSweb_Height_GIANT-Yang2012-height_PRSCS_UKB_20211120)
 PSS010029|
European Ancestry|
203,681 individuals
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Reported Trait: Height β: 3.03 (0.0123) — R²: 0.106 Sex,birthYear,genotyping.array,PC1,PC2,PC3,PC4 —
PPM015865 PGS002989
(ExPRSweb_Height_ieu-a-89_LASSOSUM_UKB_20211120)
 PSS010029|
European Ancestry|
203,681 individuals
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Reported Trait: Height β: 2.78 (0.0126) — R²: 0.0888 Sex,birthYear,genotyping.array,PC1,PC2,PC3,PC4 —
PPM015871 PGS002990
(ExPRSweb_Height_ieu-a-89_PT_UKB_20211120)
 PSS010029|
European Ancestry|
203,681 individuals
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Reported Trait: Height β: 2.92 (0.0124) — R²: 0.0975 Sex,birthYear,genotyping.array,PC1,PC2,PC3,PC4 —
PPM015867 PGS002991
(ExPRSweb_Height_ieu-a-89_PLINK_UKB_20211120)
 PSS010029|
European Ancestry|
203,681 individuals
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Reported Trait: Height β: 2.91 (0.0124) — R²: 0.0974 Sex,birthYear,genotyping.array,PC1,PC2,PC3,PC4 —
PPM015863 PGS002992
(ExPRSweb_Height_ieu-a-89_DBSLMM_UKB_20211120)
 PSS010029|
European Ancestry|
203,681 individuals
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Reported Trait: Height β: 0.525 (0.014) — R²: 0.00307 Sex,birthYear,genotyping.array,PC1,PC2,PC3,PC4 —
PPM015869 PGS002993
(ExPRSweb_Height_ieu-a-89_PRSCS_UKB_20211120)
 PSS010029|
European Ancestry|
203,681 individuals
 PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
 Reported Trait: Height β: 3.03 (0.0123) — R²: 0.106 Sex,birthYear,genotyping.array,PC1,PC2,PC3,PC4 —
PPM017442 PGS003514
(cont-decay-height)
 PSS010876|
European Ancestry|
19,949 individuals
 PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre		 Reported Trait: Standing height — — partial-R2: 0.38 sex, age, deprivation index, PC1-16 —
PPM017526 PGS003514
(cont-decay-height)
 PSS010792|
European Ancestry|
4,115 individuals
 PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre		 Reported Trait: Standing height — — partial-R2: 0.34 sex, age, deprivation index, PC1-16 —
PPM017610 PGS003514
(cont-decay-height)
 PSS010624|
European Ancestry|
6,470 individuals
 PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre		 Reported Trait: Standing height — — partial-R2: 0.33 sex, age, deprivation index, PC1-16 —
PPM017694 PGS003514
(cont-decay-height)
 PSS010540|
Greater Middle Eastern Ancestry|
1,151 individuals
 PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre		 Reported Trait: Standing height — — partial-R2: 0.25 sex, age, deprivation index, PC1-16 —
PPM017778 PGS003514
(cont-decay-height)
 PSS010204|
European Ancestry|
2,346 individuals
 PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre		 Reported Trait: Standing height — — partial-R2: 0.33 sex, age, deprivation index, PC1-16 —
PPM017862 PGS003514
(cont-decay-height)
 PSS010456|
South Asian Ancestry|
6,100 individuals
 PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre		 Reported Trait: Standing height — — partial-R2: 0.23 sex, age, deprivation index, PC1-16 —
PPM017946 PGS003514
(cont-decay-height)
 PSS010372|
East Asian Ancestry|
1,789 individuals
 PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre		 Reported Trait: Standing height — — partial-R2: 0.18 sex, age, deprivation index, PC1-16 —
PPM018030 PGS003514
(cont-decay-height)
 PSS010288|
African Ancestry|
2,437 individuals
 PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre		 Reported Trait: Standing height — — partial-R2: 0.1 sex, age, deprivation index, PC1-16 —
PPM018114 PGS003514
(cont-decay-height)
 PSS010708|
African Ancestry|
3,834 individuals
 PGP000457 |
Ding Y et al. bioRxiv (2022)
|Pre		 Reported Trait: Standing height — — partial-R2: 0.06 sex, age, deprivation index, PC1-16 —
PPM018642 PGS003835
(height_EUR_CT)
 PSS011042|
European Ancestry|
9,969 individuals
 PGP000489 |
Zhang H et al. Nat Genet (2023)
 Reported Trait: Height — — R²: 0.09039 — —
PPM018643 PGS003836
(height_EUR_LDpred2)
 PSS011042|
European Ancestry|
9,969 individuals
 PGP000489 |
Zhang H et al. Nat Genet (2023)
 Reported Trait: Height — — R²: 0.16006 — —
PPM018644 PGS003837
(height_AFR_CT)
 PSS011041|
African Ancestry|
4,527 individuals
 PGP000489 |
Zhang H et al. Nat Genet (2023)
 Reported Trait: Height — — R²: 0.00285 — —
PPM018645 PGS003838
(height_AFR_LDpred2)
 PSS011041|
African Ancestry|
4,527 individuals
 PGP000489 |
Zhang H et al. Nat Genet (2023)
 Reported Trait: Height — — R²: 0.00695 — —
PPM018646 PGS003839
(height_AFR_weighted_LDpred2)
 PSS011041|
African Ancestry|
4,527 individuals
 PGP000489 |
Zhang H et al. Nat Genet (2023)
 Reported Trait: Height — — R²: 0.03319 — —
PPM018647 PGS003840
(height_AFR_PRSCSx)
 PSS011041|
African Ancestry|
4,527 individuals
 PGP000489 |
Zhang H et al. Nat Genet (2023)
 Reported Trait: Height — — R²: 0.04139 — —
PPM018648 PGS003841
(height_AFR_CTSLEB)
 PSS011041|
African Ancestry|
4,527 individuals
 PGP000489 |
Zhang H et al. Nat Genet (2023)
 Reported Trait: Height — — R²: 0.03775 — —
PPM018780 PGS003888
(Height_PRScsx_ARB_AMRweights)
 PSS011097|
Greater Middle Eastern Ancestry|
2,669 individuals
 PGP000501 |
Shim I et al. Nature Communications (2023)
 Reported Trait: Height β: 0.026 (0.0013) — R²: 0.5202 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 = (0.0043399119*zscoreAMR) + (0.0003544699*zscoreARB) + (0.0034973575*zscoreEAS) + (0.0218689041*zscoreEUR).
PPM018781 PGS003889
(Height_PRScsx_ARB_ARBweights)
 PSS011097|
Greater Middle Eastern Ancestry|
2,669 individuals
 PGP000501 |
Shim I et al. Nature Communications (2023)
 Reported Trait: Height β: 0.026 (0.0013) — R²: 0.5202 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 = (0.0043399119*zscoreAMR) + (0.0003544699*zscoreARB) + (0.0034973575*zscoreEAS) + (0.0218689041*zscoreEUR).
PPM018782 PGS003890
(Height_PRScsx_ARB_EASweights)
 PSS011097|
Greater Middle Eastern Ancestry|
2,669 individuals
 PGP000501 |
Shim I et al. Nature Communications (2023)
 Reported Trait: Height β: 0.026 (0.0013) — R²: 0.5202 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 = (0.0043399119*zscoreAMR) + (0.0003544699*zscoreARB) + (0.0034973575*zscoreEAS) + (0.0218689041*zscoreEUR).
PPM018783 PGS003891
(Height_PRScsx_ARB_EURweights)
 PSS011097|
Greater Middle Eastern Ancestry|
2,669 individuals
 PGP000501 |
Shim I et al. Nature Communications (2023)
 Reported Trait: Height β: 0.026 (0.0013) — R²: 0.5202 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 = (0.0043399119*zscoreAMR) + (0.0003544699*zscoreARB) + (0.0034973575*zscoreEAS) + (0.0218689041*zscoreEUR).
PPM018794 PGS003895
(INI50)
 PSS011146|
European Ancestry|
67,603 individuals
 PGP000502 |
Tanigawa Y et al. AJHG (2023)
 Reported Trait: Standing height — — R²: 0.71901 [0.71542, 0.7226]
PGS R2 (no covariates): 0.1804 [0.17516, 0.18565]
Incremental R2 (full-covars): 0.17961		 age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) —
PPM018795 PGS003895
(INI50)
 PSS011103|
European Ancestry|
2,885 individuals
 PGP000502 |
Tanigawa Y et al. AJHG (2023)
 Reported Trait: Standing height — — R²: 0.72848 [0.71161, 0.74534]
PGS R2 (no covariates): 0.21016 [0.18381, 0.23651]
Incremental R2 (full-covars): 0.18808		 age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) —
PPM018796 PGS003895
(INI50)
 PSS011114|
South Asian Ancestry|
1,448 individuals
 PGP000502 |
Tanigawa Y et al. AJHG (2023)
 Reported Trait: Standing height — — R²: 0.66918 [0.64174, 0.69663]
PGS R2 (no covariates): 0.08326 [0.05643, 0.11009]
Incremental R2 (full-covars): 0.08875		 age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) —
PPM018797 PGS003895
(INI50)
 PSS011159|
African Ancestry|
1,191 individuals
 PGP000502 |
Tanigawa Y et al. AJHG (2023)
 Reported Trait: Standing height — — R²: 0.50307 [0.46351, 0.54262]
PGS R2 (no covariates): 0.02787 [0.00966, 0.04609]
Incremental R2 (full-covars): 0.01372		 age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) —
PPM018798 PGS003895
(INI50)
 PSS011173|
Multi-ancestry (excluding European)|
7,968 individuals
 PGP000502 |
Tanigawa Y et al. AJHG (2023)
 Reported Trait: Standing height — — R²: 0.69915 [0.68814, 0.71017]
PGS R2 (no covariates): 0.151 [0.13655, 0.16545]
Incremental R2 (full-covars): 0.14737		 age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18) —
PPM020065 PGS003995
(dbslmm.auto.GCST90018959.Height)
 PSS011219|
European Ancestry|
190,013 individuals
 PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre		 Reported Trait: Height β: 0.35385 — — 0 beta = sd_trait/sd_pgs = pearson correlation
PPM020066 PGS003995
(dbslmm.auto.GCST90018959.Height)
 PSS011230|
European Ancestry|
267,343 individuals
 PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre		 Reported Trait: Height β: 0.32614 — — 0 beta = sd_trait/sd_pgs = pearson correlation
PPM020067 PGS003995
(dbslmm.auto.GCST90018959.Height)
 PSS011243|
South Asian Ancestry|
34,089 individuals
 PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre		 Reported Trait: Height β: 0.26677 — — 0 beta = sd_trait/sd_pgs = pearson correlation
PPM020068 PGS003995
(dbslmm.auto.GCST90018959.Height)
 PSS011259|
European Ancestry|
66,700 individuals
 PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre		 Reported Trait: Height β: 0.33511 — — 0 beta = sd_trait/sd_pgs = pearson correlation
PPM020069 PGS003995
(dbslmm.auto.GCST90018959.Height)
 PSS011287|
South Asian Ancestry|
9,108 individuals
 PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre		 Reported Trait: Height β: 0.27048 — — 0 beta = sd_trait/sd_pgs = pearson correlation
PPM020090 PGS004011
(lassosum.auto.GCST90018959.Height)
 PSS011219|
European Ancestry|
190,013 individuals
 PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre		 Reported Trait: Height β: 0.31544 — — 0 beta = sd_trait/sd_pgs = pearson correlation
PPM020091 PGS004011
(lassosum.auto.GCST90018959.Height)
 PSS011230|
European Ancestry|
267,343 individuals
 PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre		 Reported Trait: Height β: 0.29137 — — 0 beta = sd_trait/sd_pgs = pearson correlation
PPM020092 PGS004011
(lassosum.auto.GCST90018959.Height)
 PSS011243|
South Asian Ancestry|
34,089 individuals
 PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre		 Reported Trait: Height β: 0.25831 — — 0 beta = sd_trait/sd_pgs = pearson correlation
PPM020093 PGS004011
(lassosum.auto.GCST90018959.Height)
 PSS011259|
European Ancestry|
66,700 individuals
 PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre		 Reported Trait: Height β: 0.31267 — — 0 beta = sd_trait/sd_pgs = pearson correlation
PPM020094 PGS004011
(lassosum.auto.GCST90018959.Height)
 PSS011287|
South Asian Ancestry|
9,108 individuals
 PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre		 Reported Trait: Height β: 0.24786 — — 0 beta = sd_trait/sd_pgs = pearson correlation
PPM020075 PGS004036
(ldpred2.auto.GCST90018959.Height)
 PSS011219|
European Ancestry|
190,013 individuals
 PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre		 Reported Trait: Height β: 0.36472 — — 0 beta = sd_trait/sd_pgs = pearson correlation
PPM020076 PGS004036
(ldpred2.auto.GCST90018959.Height)
 PSS011230|
European Ancestry|
267,343 individuals
 PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre		 Reported Trait: Height β: 0.33197 — — 0 beta = sd_trait/sd_pgs = pearson correlation
PPM020077 PGS004036
(ldpred2.auto.GCST90018959.Height)
 PSS011243|
South Asian Ancestry|
34,089 individuals
 PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre		 Reported Trait: Height β: 0.28234 — — 0 beta = sd_trait/sd_pgs = pearson correlation
PPM020078 PGS004036
(ldpred2.auto.GCST90018959.Height)
 PSS011259|
European Ancestry|
66,700 individuals
 PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre		 Reported Trait: Height β: 0.34509 — — 0 beta = sd_trait/sd_pgs = pearson correlation
PPM020079 PGS004036
(ldpred2.auto.GCST90018959.Height)
 PSS011287|
South Asian Ancestry|
9,108 individuals
 PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre		 Reported Trait: Height β: 0.28559 — — 0 beta = sd_trait/sd_pgs = pearson correlation
PPM020080 PGS004065
(megaprs.auto.GCST90018959.Height)
 PSS011219|
European Ancestry|
190,013 individuals
 PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre		 Reported Trait: Height β: 0.33881 — — 0 beta = sd_trait/sd_pgs = pearson correlation
PPM020081 PGS004065
(megaprs.auto.GCST90018959.Height)
 PSS011230|
European Ancestry|
267,343 individuals
 PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre		 Reported Trait: Height β: 0.30485 — — 0 beta = sd_trait/sd_pgs = pearson correlation
PPM020082 PGS004065
(megaprs.auto.GCST90018959.Height)
 PSS011243|
South Asian Ancestry|
34,089 individuals
 PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre		 Reported Trait: Height β: 0.26196 — — 0 beta = sd_trait/sd_pgs = pearson correlation
PPM020083 PGS004065
(megaprs.auto.GCST90018959.Height)
 PSS011259|
European Ancestry|
66,700 individuals
 PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre		 Reported Trait: Height β: 0.31748 — — 0 beta = sd_trait/sd_pgs = pearson correlation
PPM020084 PGS004065
(megaprs.auto.GCST90018959.Height)
 PSS011287|
South Asian Ancestry|
9,108 individuals
 PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre		 Reported Trait: Height β: 0.26382 — — 0 beta = sd_trait/sd_pgs = pearson correlation
PPM020085 PGS004095
(prscs.auto.GCST90018959.Height)
 PSS011219|
European Ancestry|
190,013 individuals
 PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre		 Reported Trait: Height β: 0.35864 — — 0 beta = sd_trait/sd_pgs = pearson correlation
PPM020086 PGS004095
(prscs.auto.GCST90018959.Height)
 PSS011230|
European Ancestry|
267,343 individuals
 PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre		 Reported Trait: Height β: 0.33536 — — 0 beta = sd_trait/sd_pgs = pearson correlation
PPM020087 PGS004095
(prscs.auto.GCST90018959.Height)
 PSS011243|
South Asian Ancestry|
34,089 individuals
 PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre		 Reported Trait: Height β: 0.26465 — — 0 beta = sd_trait/sd_pgs = pearson correlation
PPM020088 PGS004095
(prscs.auto.GCST90018959.Height)
 PSS011259|
European Ancestry|
66,700 individuals
 PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre		 Reported Trait: Height β: 0.34613 — — 0 beta = sd_trait/sd_pgs = pearson correlation
PPM020089 PGS004095
(prscs.auto.GCST90018959.Height)
 PSS011287|
South Asian Ancestry|
9,108 individuals
 PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre		 Reported Trait: Height β: 0.26176 — — 0 beta = sd_trait/sd_pgs = pearson correlation
PPM020061 PGS004119
(pt_clump.auto.GCST90018959.Height)
 PSS011230|
European Ancestry|
267,343 individuals
 PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre		 Reported Trait: Height β: 0.26981 — — 0 beta = sd_trait/sd_pgs = pearson correlation
PPM020062 PGS004119
(pt_clump.auto.GCST90018959.Height)
 PSS011243|
South Asian Ancestry|
34,089 individuals
 PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre		 Reported Trait: Height β: 0.25362 — — 0 beta = sd_trait/sd_pgs = pearson correlation
PPM020063 PGS004119
(pt_clump.auto.GCST90018959.Height)
 PSS011259|
European Ancestry|
66,700 individuals
 PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre		 Reported Trait: Height β: 0.27669 — — 0 beta = sd_trait/sd_pgs = pearson correlation
PPM020064 PGS004119
(pt_clump.auto.GCST90018959.Height)
 PSS011287|
South Asian Ancestry|
9,108 individuals
 PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre		 Reported Trait: Height β: 0.24036 — — 0 beta = sd_trait/sd_pgs = pearson correlation
PPM020060 PGS004119
(pt_clump.auto.GCST90018959.Height)
 PSS011219|
European Ancestry|
190,013 individuals
 PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre		 Reported Trait: Height β: 0.29998 — — 0 beta = sd_trait/sd_pgs = pearson correlation
PPM020070 PGS004149
(sbayesr.auto.GCST90018959.Height)
 PSS011219|
European Ancestry|
190,013 individuals
 PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre		 Reported Trait: Height β: 0.35918 — — 0 beta = sd_trait/sd_pgs = pearson correlation
PPM020071 PGS004149
(sbayesr.auto.GCST90018959.Height)
 PSS011230|
European Ancestry|
267,343 individuals
 PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre		 Reported Trait: Height β: 0.32289 — — 0 beta = sd_trait/sd_pgs = pearson correlation
PPM020072 PGS004149
(sbayesr.auto.GCST90018959.Height)
 PSS011243|
South Asian Ancestry|
34,089 individuals
 PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre		 Reported Trait: Height β: 0.28496 — — 0 beta = sd_trait/sd_pgs = pearson correlation
PPM020073 PGS004149
(sbayesr.auto.GCST90018959.Height)
 PSS011259|
European Ancestry|
66,700 individuals
 PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre		 Reported Trait: Height β: 0.33073 — — 0 beta = sd_trait/sd_pgs = pearson correlation
PPM020074 PGS004149
(sbayesr.auto.GCST90018959.Height)
 PSS011287|
South Asian Ancestry|
9,108 individuals
 PGP000517 |
Monti M R et al. medRxiv (2023)
|Pre		 Reported Trait: Height β: 0.28263 — — 0 beta = sd_trait/sd_pgs = pearson correlation
PPM020144 PGS004211
(height_1)
 PSS011296|
European Ancestry|
45,334 individuals
 PGP000520 |
Raben TG et al. Sci Rep (2023)
 Reported Trait: Standing height — — R²: 0.71113 year of birth, sex —
PPM020145 PGS004212
(height_2)
 PSS011296|
European Ancestry|
45,334 individuals
 PGP000520 |
Raben TG et al. Sci Rep (2023)
 Reported Trait: Standing height — — R²: 0.71242 year of birth, sex —
PPM020146 PGS004213
(height_3)
 PSS011296|
European Ancestry|
45,334 individuals
 PGP000520 |
Raben TG et al. Sci Rep (2023)
 Reported Trait: Standing height — — R²: 0.71113 year of birth, sex —
PPM020147 PGS004214
(height_4)
 PSS011296|
European Ancestry|
45,334 individuals
 PGP000520 |
Raben TG et al. Sci Rep (2023)
 Reported Trait: Standing height — — R²: 0.71242 year of birth, sex —
PPM020148 PGS004215
(height_5)
 PSS011296|
European Ancestry|
45,334 individuals
 PGP000520 |
Raben TG et al. Sci Rep (2023)
 Reported Trait: Standing height — — R²: 0.71242 year of birth, sex —
PPM020522 PGS004407
(X50.score)
 PSS011364|
European Ancestry|
56,192 individuals
 PGP000561 |
Jung H et al. Commun Biol (2024)
 Reported Trait: Standing height — — PGS R2 (no covariates): 0.32082 — —
PPM021004 PGS004779
(height_PRSmix_eur)
 PSS011497|
European Ancestry|
9,045 individuals
 PGP000604 |
Truong B et al. Cell Genom (2024)
 Reported Trait: Height — — Incremental R2 (Full model versus model with only covariates): 0.201 [0.186, 0.216] age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 Incremental R2 (Full model versus model with only covariates)
PPM021005 PGS004780
(height_PRSmix_sas)
 PSS011498|
South Asian Ancestry|
6,835 individuals
 PGP000604 |
Truong B et al. Cell Genom (2024)
 Reported Trait: Height — — Incremental R2 (Full model versus model with only covariates): 0.088 [0.075, 0.101] age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 Incremental R2 (Full model versus model with only covariates)
PPM021006 PGS004781
(height_PRSmixPlus_eur)
 PSS011497|
European Ancestry|
9,045 individuals
 PGP000604 |
Truong B et al. Cell Genom (2024)
 Reported Trait: Height — — Incremental R2 (Full model versus model with only covariates): 0.201 [0.187, 0.216] age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 Incremental R2 (Full model versus model with only covariates)
PPM021007 PGS004782
(height_PRSmixPlus_sas)
 PSS011498|
South Asian Ancestry|
6,835 individuals
 PGP000604 |
Truong B et al. Cell Genom (2024)
 Reported Trait: Height — — Incremental R2 (Full model versus model with only covariates): 0.089 [0.076, 0.102] age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 Incremental R2 (Full model versus model with only covariates)

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
PSS008518 — — 1,180 individuals — Greater Middle Eastern (Middle Eastern, North African or Persian) Iran (Middle East) UKB —
PSS009416 — — 19,953 individuals — European UK (+ Ireland) UKB —
PSS004801 — — 253 individuals — African unspecified — UKB —
PSS004802 — — 133 individuals — East Asian — UKB —
PSS004803 — — 2,131 individuals — European non-white British ancestry UKB —
PSS004804 — — 414 individuals — South Asian — UKB —
PSS004805 — — 6,641 individuals — European white British ancestry UKB Testing cohort (heldout set)
PSS010792 — — 4,115 individuals,
38.0 % Male samples
 Mean = 54.3 years
Sd = 7.5 years		 European Polish UKB —
PSS011097 — — 2,669 individuals — Greater Middle Eastern (Middle Eastern, North African or Persian)
(Arab)		 — NR N total after excluding missing values = 2,553
PSS011146 — — 67,603 individuals — European
(white British ancestry)		 — UKB —
PSS010540 — — 1,151 individuals,
60.0 % Male samples
 Mean = 52.0 years
Sd = 8.0 years		 Greater Middle Eastern (Middle Eastern, North African or Persian) Iranian UKB —
PSS011287 — — 9,108 individuals — South Asian — UKB —
PSS010288 — — 2,437 individuals,
36.0 % Male samples
 Mean = 52.5 years
Sd = 8.1 years		 African American or Afro-Caribbean Caribbean UKB —
PSS011159 — — 1,191 individuals — African unspecified — UKB —
PSS009771 — — 6,410 individuals — African unspecified — UKB —
PSS009772 — — 916 individuals — East Asian — UKB —
PSS009773 — — 43,376 individuals — European Non-British European UKB —
PSS009190 — — 4,126 individuals — European Poland (NE Europe) UKB —
PSS009774 — — 7,921 individuals — South Asian — UKB —
PSS008296 — — 6,152 individuals — South Asian India (South Asia) UKB —
PSS011042 — — 9,969 individuals,
47.0 % Male samples
 Mean = 56.86 years
Sd = 8.05 years		 European — UKB —
PSS011041 — — 4,527 individuals,
42.0 % Male samples
 Mean = 51.82 years
Sd = 8.06 years		 African American or Afro-Caribbean
(African American)		 — UKB —
PSS011173 — — 7,968 individuals — East Asian, Other admixed ancestry East Asian, Other admixed ancestry UKB —
PSS007396 — — 6,407 individuals — African unspecified — UKB —
PSS007397 — — 1,697 individuals — East Asian — UKB —
PSS007398 — — 24,826 individuals — European non-white British ancestry UKB —
PSS007399 — — 7,650 individuals — South Asian — UKB —
PSS007400 — — 67,298 individuals — European white British ancestry UKB Testing cohort (heldout set)
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 —
PSS000911 — — 13,989 individuals — Greater Middle Eastern (Middle Eastern, North African or Persian)
(Qatari)		 — QBB —
PSS009934 — — 28,909 individuals,
38.0 % Male samples
 — East Asian
(Han Chinese)		 — TWB —
PSS010007 body height (cm); Quantitative — 23,349 individuals — European — MGI —
PSS010456 — — 6,100 individuals,
53.0 % Male samples
 Mean = 53.3 years
Sd = 8.4 years		 South Asian Indian UKB —
PSS010708 — — 3,834 individuals,
46.0 % Male samples
 Mean = 51.9 years
Sd = 8.1 years		 African unspecified Nigerian UKB —
PSS011497 — — 9,045 individuals — European — AllofUs —
PSS000967 — —
[
  • 21 cases
  • , 920 controls
]
,
42.5 % Male samples
 — European — ALSPAC —
PSS010204 — — 2,346 individuals,
45.0 % Male samples
 Mean = 58.1 years
Sd = 7.1 years		 European Ashkenazi UKB —
PSS000969 — — 81,902 individuals,
45.9 % Male samples
 — European — UKB This dataset is independent of UKB source/training and model selection datasets
PSS008964 — — 3,863 individuals — African unspecified Nigeria (West Africa) UKB —
PSS009972 — — 2,246 individuals — East Asian — UKB —
PSS009973 — — 14,058 individuals — European — NR LLB
PSS009974 — — 14,587 individuals — European — UKB —
PSS009975 — — 5,798 individuals — Hispanic or Latin American — PAGE —
PSS008073 — — 1,801 individuals — East Asian China (East Asia) UKB —
PSS009976 — — 9,257 individuals — South Asian — UKB —
PSS009977 — — 6,911 individuals — African unspecified — PAGE —
PSS009978 — — 8,238 individuals — African unspecified — UKB —
PSS011219 — — 190,013 individuals — European — EB —
PSS010029 Field ID: 50; Quantitative — 203,681 individuals — European — UKB —
PSS011230 — — 267,343 individuals — European — FinnGen —
PSS011498 — — 6,835 individuals — South Asian — G&H —
PSS011103 — — 2,885 individuals — European
(non-white British ancestry)		 — UKB —
PSS011364 — — 56,192 individuals — European — UKB —
PSS010876 — — 19,949 individuals,
46.0 % Male samples
 Mean = 56.9 years
Sd = 7.9 years		 European white British UKB —
PSS010624 — — 6,470 individuals,
45.0 % Male samples
 Mean = 54.5 years
Sd = 8.4 years		 European Italian UKB —
PSS008744 — — 6,633 individuals — European Italy (South Europe) UKB —
PSS011243 — — 34,089 individuals — South Asian — G&H —
PSS010372 — — 1,789 individuals,
33.0 % Male samples
 Mean = 52.4 years
Sd = 7.8 years		 East Asian Chinese UKB —
PSS011114 — — 1,448 individuals — South Asian — UKB —
PSS007860 — — 2,450 individuals — African American or Afro-Caribbean Carribean UKB —
PSS011259 — — 66,700 individuals — European — HUNT —
PSS011296 22,667 sibling pairs — 45,334 individuals — European — UKB —