| Experimental Factor Ontology (EFO) Information | |
| Identifier | EFO_0004730 |
| Description | The determination of the amount of hormone present in a sample. | Trait category |
Other measurement
|
| Child trait(s) | 11 child traits |
| Polygenic Score ID & Name | PGS Publication ID (PGP) | Reported Trait | Mapped Trait(s) (Ontology) | Number of Variants |
Ancestry distribution GWAS Dev Eval |
Scoring File (FTP Link) |
|---|---|---|---|---|---|---|
| PGS000308 (GRS12_FIadjBMI) |
PGP000092 | Xie T et al. Circ Genom Precis Med (2020) |
Fasting insulin (body mass index adjusted) | BMI-adjusted fasting blood insulin measurement | 12 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000308/ScoringFiles/PGS000308.txt.gz |
| PGS000321 (snpnet_Testosterone_combined) |
PGP000097 | Flynn E et al. Eur J Hum Genet (2020) |
Serum testosterone levels | testosterone measurement | 7,319 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000321/ScoringFiles/PGS000321.txt.gz |
| PGS000322 (snpnet_Testosterone_female-specific) |
PGP000097 | Flynn E et al. Eur J Hum Genet (2020) |
Serum testosterone levels in females | testosterone measurement, female |
7,168 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000322/ScoringFiles/PGS000322.txt.gz |
| PGS000323 (snpnet_Testosterone_male-specific) |
PGP000097 | Flynn E et al. Eur J Hum Genet (2020) |
Serum testosterone levels in males | testosterone measurement, male |
8,235 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000323/ScoringFiles/PGS000323.txt.gz |
| PGS000687 (snpnet.IGF_1) |
PGP000128 | Sinnott-Armstrong N et al. Nat Genet (2021) |
IGF-1 [nmol/L] | IGF-1 measurement | 23,443 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000687/ScoringFiles/PGS000687.txt.gz |
| PGS000694 (snpnet.SHBG) |
PGP000128 | Sinnott-Armstrong N et al. Nat Genet (2021) |
SHBG [nmol/L] | sex hormone-binding globulin measurement | 19,328 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000694/ScoringFiles/PGS000694.txt.gz |
| PGS000696 (snpnet.Testosterone) |
PGP000128 | Sinnott-Armstrong N et al. Nat Genet (2021) |
Testosterone [nmol/L] | testosterone measurement | 8,223 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000696/ScoringFiles/PGS000696.txt.gz |
| PGS000834 (CIR) |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Corrected insulin response (at 30mins during OGTT) | insulin response measurement | 220 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000834/ScoringFiles/PGS000834.txt.gz |
| PGS000837 (ISI) |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Insulin sensitivity index | insulin sensitivity measurement | 219 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000837/ScoringFiles/PGS000837.txt.gz |
| PGS000840 (Fasting_Proinsulin) |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Fasting Proinsulin | proinsulin measurement | 223 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000840/ScoringFiles/PGS000840.txt.gz |
| PGS001117 (GBE_BIN_FC10002986) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Started insulin within one year diagnosis of diabetes | insulin use measurement | 68 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001117/ScoringFiles/PGS001117.txt.gz |
| PGS001182 (GBE_BIN10030800) |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Estradiol [> 212 pmol/L] | estradiol measurement | 351 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001182/ScoringFiles/PGS001182.txt.gz |
| PGS001914 (portability-PLR_F_log_testosterone) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Testosterone (female only) | testosterone measurement, female |
18,179 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001914/ScoringFiles/PGS001914.txt.gz |
| PGS001960 (portability-PLR_log_IGF1) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
IGF-1 | IGF-1 measurement | 87,149 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001960/ScoringFiles/PGS001960.txt.gz |
| PGS001977 (portability-PLR_log_SHBG) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Sex hormone binding globulin (SHBG) | sex hormone-binding globulin measurement | 51,427 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001977/ScoringFiles/PGS001977.txt.gz |
| PGS001988 (portability-PLR_M_log_testosterone) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Testosterone (male only) | testosterone measurement, male |
3,985 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001988/ScoringFiles/PGS001988.txt.gz |
| PGS002130 (portability-ldpred2_F_log_testosterone) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Testosterone (female only) | testosterone measurement, female |
650,195 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002130/ScoringFiles/PGS002130.txt.gz |
| PGS002178 (portability-ldpred2_log_IGF1) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
IGF-1 | IGF-1 measurement | 817,740 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002178/ScoringFiles/PGS002178.txt.gz |
| PGS002195 (portability-ldpred2_log_SHBG) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Sex hormone binding globulin (SHBG) | sex hormone-binding globulin measurement | 650,364 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002195/ScoringFiles/PGS002195.txt.gz |
| PGS002205 (portability-ldpred2_M_log_testosterone) |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Testosterone (male only) | testosterone measurement, male |
584,991 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002205/ScoringFiles/PGS002205.txt.gz |
| PGS002914 (ExPRSweb_Estradiol_30800-irnt_LASSOSUM_MGI_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Estradiol | estradiol measurement | 326,223 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002914/ScoringFiles/PGS002914.txt.gz | |
| PGS002915 (ExPRSweb_Estradiol_30800-irnt_PT_MGI_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Estradiol | estradiol measurement | 4,661 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002915/ScoringFiles/PGS002915.txt.gz | |
| PGS002916 (ExPRSweb_Estradiol_30800-irnt_PLINK_MGI_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Estradiol | estradiol measurement | 9,583 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002916/ScoringFiles/PGS002916.txt.gz | |
| PGS002917 (ExPRSweb_Estradiol_30800-irnt_DBSLMM_MGI_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Estradiol | estradiol measurement | 10,287,664 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002917/ScoringFiles/PGS002917.txt.gz | |
| PGS002918 (ExPRSweb_Estradiol_30800-irnt_PRSCS_MGI_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Estradiol | estradiol measurement | 1,113,823 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002918/ScoringFiles/PGS002918.txt.gz | |
| PGS002919 (ExPRSweb_Estradiol_30800-raw_LASSOSUM_MGI_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Estradiol | estradiol measurement | 324,623 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002919/ScoringFiles/PGS002919.txt.gz | |
| PGS002920 (ExPRSweb_Estradiol_30800-raw_PT_MGI_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Estradiol | estradiol measurement | 4 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002920/ScoringFiles/PGS002920.txt.gz | |
| PGS002921 (ExPRSweb_Estradiol_30800-raw_PLINK_MGI_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Estradiol | estradiol measurement | 98 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002921/ScoringFiles/PGS002921.txt.gz | |
| PGS002922 (ExPRSweb_Estradiol_30800-raw_DBSLMM_MGI_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Estradiol | estradiol measurement | 10,287,670 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002922/ScoringFiles/PGS002922.txt.gz | |
| PGS002923 (ExPRSweb_Estradiol_30800-raw_PRSCS_MGI_20211120) |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Estradiol | estradiol measurement | 1,113,823 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002923/ScoringFiles/PGS002923.txt.gz | |
| PGS003469 (LDPred2_HOMA_B) |
PGP000456 | Zhang Y et al. EBioMedicine (2022) |
HOMA-B | HOMA-B | 775,825 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003469/ScoringFiles/PGS003469.txt.gz |
| PGS003470 (LDPred2_HOMA_IR) |
PGP000456 | Zhang Y et al. EBioMedicine (2022) |
HOMA-IR | HOMA-IR | 775,999 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003470/ScoringFiles/PGS003470.txt.gz |
| PGS003507 (cont-decay-F_log_testosterone) |
PGP000457 | Ding Y et al. Nature (2023) |
Testosterone (female only) | testosterone measurement | 979,739 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003507/ScoringFiles/PGS003507.txt.gz |
| PGS003539 (cont-decay-log_IGF1) |
PGP000457 | Ding Y et al. Nature (2023) |
IGF-1 | IGF-1 measurement | 979,739 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003539/ScoringFiles/PGS003539.txt.gz |
| PGS003552 (cont-decay-log_SHBG) |
PGP000457 | Ding Y et al. Nature (2023) |
Sex hormone binding globulin (SHBG) | sex hormone-binding globulin measurement | 979,739 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003552/ScoringFiles/PGS003552.txt.gz |
| PGS003559 (cont-decay-M_log_testosterone) |
PGP000457 | Ding Y et al. Nature (2023) |
Testosterone (male only) | testosterone measurement | 979,739 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003559/ScoringFiles/PGS003559.txt.gz |
| PGS004338 (X30770.score) |
PGP000561 | Jung H et al. Commun Biol (2024) |
IGF-1 (nmol/L) | IGF-1 measurement | 1,059,939 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004338/ScoringFiles/PGS004338.txt.gz |
| PGS005276 (FI_PS_EUR) |
PGP000750 | Sarnowski C et al. Commun Biol (2025) |
Fasting insulin adjusted for BMI | BMI-adjusted fasting blood insulin measurement | 1,116,555 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS005276/ScoringFiles/PGS005276.txt.gz | |
| PGS005277 (FI_PS_AFR) |
PGP000750 | Sarnowski C et al. Commun Biol (2025) |
Fasting insulin adjusted for BMI | BMI-adjusted fasting blood insulin measurement | 1,233,791 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS005277/ScoringFiles/PGS005277.txt.gz | |
| PGS005278 (FI_PS_AMR) |
PGP000750 | Sarnowski C et al. Commun Biol (2025) |
Fasting insulin adjusted for BMI | BMI-adjusted fasting blood insulin measurement | 1,182,208 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS005278/ScoringFiles/PGS005278.txt.gz | |
| PGS005392 (Q-PGS4_r0.2_p5e4) |
PGP000777 | Aliyu U et al. Front Endocrinol (Lausanne) (2024) |
HOMA2-IR | HOMA-IR | 1,414 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS005392/ScoringFiles/PGS005392.txt.gz |
|
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 |
|---|---|---|---|---|---|---|---|---|---|
| PPM000778 | PGS000308 (GRS12_FIadjBMI) |
PSS000376| European Ancestry| 1,354 individuals |
PGP000092 | Xie T et al. Circ Genom Precis Med (2020) |
Reported Trait: Fasting insulin (mU/I) | — | — | R²: 0.0069 | Sex, age, BMI | — |
| PPM000865 | PGS000321 (snpnet_Testosterone_combined) |
PSS000421| European Ancestry| 28,640 individuals |
PGP000097 | Flynn E et al. Eur J Hum Genet (2020) |
Reported Trait: Serum testosterone levels in females | — | — | R²: 0.13 | age, sex, PCs 1-40, blood draw time, fasting time, sample dilution factor, batch, genotyping array | — |
| PPM000862 | PGS000321 (snpnet_Testosterone_combined) |
PSS000422| European Ancestry| 28,601 individuals |
PGP000097 | Flynn E et al. Eur J Hum Genet (2020) |
Reported Trait: Serum testosterone levels in males | — | — | R²: 0.21 | age, sex, PCs 1-40, blood draw time, fasting time, sample dilution factor, batch, genotyping array | — |
| PPM000864 | PGS000322 (snpnet_Testosterone_female-specific) |
PSS000421| European Ancestry| 28,640 individuals |
PGP000097 | Flynn E et al. Eur J Hum Genet (2020) |
Reported Trait: Serum testosterone levels in females | — | — | R²: 0.18 | age, sex, PCs 1-40, blood draw time, fasting time, sample dilution factor, batch, genotyping array | — |
| PPM000863 | PGS000322 (snpnet_Testosterone_female-specific) |
PSS000422| European Ancestry| 28,601 individuals |
PGP000097 | Flynn E et al. Eur J Hum Genet (2020) |
Reported Trait: Serum testosterone levels in males | — | — | R²: 0.02 | age, sex, PCs 1-40, blood draw time, fasting time, sample dilution factor, batch, genotyping array | — |
| PPM000866 | PGS000323 (snpnet_Testosterone_male-specific) |
PSS000421| European Ancestry| 28,640 individuals |
PGP000097 | Flynn E et al. Eur J Hum Genet (2020) |
Reported Trait: Serum testosterone levels in females | — | — | R²: 0.023 | age, sex, PCs 1-40, blood draw time, fasting time, sample dilution factor, batch, genotyping array | — |
| PPM000861 | PGS000323 (snpnet_Testosterone_male-specific) |
PSS000422| European Ancestry| 28,601 individuals |
PGP000097 | Flynn E et al. Eur J Hum Genet (2020) |
Reported Trait: Serum testosterone levels in males | — | — | R²: 0.31 | age, sex, PCs 1-40, blood draw time, fasting time, sample dilution factor, batch, genotyping array | — |
| PPM022568 | PGS000323 (snpnet_Testosterone_male-specific) |
PSS012020| European Ancestry| 233 individuals |
PGP000725 | Busch AS et al. J Clin Endocrinol Metab (2024) |Ext. |
Reported Trait: Mean total testosterone SDS in infancy | β: 5.4 (2.2) | — | R²: 0.05 | — | — |
| PPM022569 | PGS000323 (snpnet_Testosterone_male-specific) |
PSS012020| European Ancestry| 233 individuals |
PGP000725 | Busch AS et al. J Clin Endocrinol Metab (2024) |Ext. |
Reported Trait: Mean SHBG SDS in infancy | β: 11.7 (2.2) | — | R²: 0.21 | — | — |
| PPM022570 | PGS000323 (snpnet_Testosterone_male-specific) |
PSS012020| European Ancestry| 233 individuals |
PGP000725 | Busch AS et al. J Clin Endocrinol Metab (2024) |Ext. |
Reported Trait: Mean LH SDS in infancy | β: 5.0 (2.3) | — | R²: 0.04 | — | — |
| PPM001415 | PGS000687 (snpnet.IGF_1) |
PSS000709| African Ancestry| 5,974 individuals |
PGP000128 | Sinnott-Armstrong N et al. Nat Genet (2021) |
Reported Trait: IGF-1 [nmol/L] | — | — | R²: 0.11454 Spearman's ρ: 0.182 |
Age, sex, PCs(1-40) | — |
| PPM001450 | PGS000687 (snpnet.IGF_1) |
PSS000710| East Asian Ancestry| 1,074 individuals |
PGP000128 | Sinnott-Armstrong N et al. Nat Genet (2021) |
Reported Trait: IGF-1 [nmol/L] | — | — | R²: 0.17702 Spearman's ρ: 0.258 |
Age, sex, PCs(1-40) | — |
| PPM001485 | PGS000687 (snpnet.IGF_1) |
PSS000711| European Ancestry| 23,453 individuals |
PGP000128 | Sinnott-Armstrong N et al. Nat Genet (2021) |
Reported Trait: IGF-1 [nmol/L] | — | — | R²: 0.22328 Spearman's ρ: 0.362 |
Age, sex, PCs(1-40) | — |
| PPM001520 | PGS000687 (snpnet.IGF_1) |
PSS000712| South Asian Ancestry| 7,283 individuals |
PGP000128 | Sinnott-Armstrong N et al. Nat Genet (2021) |
Reported Trait: IGF-1 [nmol/L] | — | — | R²: 0.20212 Spearman's ρ: 0.313 |
Age, sex, PCs(1-40) | — |
| PPM001555 | PGS000687 (snpnet.IGF_1) |
PSS000713| European Ancestry| 63,393 individuals |
PGP000128 | Sinnott-Armstrong N et al. Nat Genet (2021) |
Reported Trait: IGF-1 [nmol/L] | — | — | R²: 0.20434 Spearman's ρ: 0.369 |
Age, sex, PCs(1-40) | — |
| PPM007360 | PGS000687 (snpnet.IGF_1) |
PSS007166| African Ancestry| 6,058 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |Ext. |
Reported Trait: IGF-1 | — | — | R²: 0.08755 [0.07443, 0.10068] Incremental R2 (full-covars): 0.00429 PGS R2 (no covariates): 0.03282 [0.0243, 0.04133] |
age, sex, UKB array type, Genotype PCs | — |
| PPM007361 | PGS000687 (snpnet.IGF_1) |
PSS007167| East Asian Ancestry| 1,609 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |Ext. |
Reported Trait: IGF-1 | — | — | R²: 0.14261 [0.11193, 0.1733] Incremental R2 (full-covars): 0.00641 PGS R2 (no covariates): 0.06187 [0.03976, 0.08399] |
age, sex, UKB array type, Genotype PCs | — |
| PPM007362 | PGS000687 (snpnet.IGF_1) |
PSS007168| European Ancestry| 23,653 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |Ext. |
Reported Trait: IGF-1 | — | — | R²: 0.10834 [0.10105, 0.11562] Incremental R2 (full-covars): 0.01189 PGS R2 (no covariates): 0.12448 [0.11681, 0.13216] |
age, sex, UKB array type, Genotype PCs | — |
| PPM007363 | PGS000687 (snpnet.IGF_1) |
PSS007169| South Asian Ancestry| 7,373 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |Ext. |
Reported Trait: IGF-1 | — | — | R²: 0.11511 [0.10181, 0.1284] Incremental R2 (full-covars): 0.00941 PGS R2 (no covariates): 0.08722 [0.07528, 0.09915] |
age, sex, UKB array type, Genotype PCs | — |
| PPM007364 | PGS000687 (snpnet.IGF_1) |
PSS007170| European Ancestry| 64,106 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |Ext. |
Reported Trait: IGF-1 | — | — | R²: 0.07984 [0.07592, 0.08377] Incremental R2 (full-covars): 0.01227 PGS R2 (no covariates): 0.12763 [0.12293, 0.13233] |
age, sex, UKB array type, Genotype PCs | — |
| PPM001422 | PGS000694 (snpnet.SHBG) |
PSS000744| African Ancestry| 5,523 individuals |
PGP000128 | Sinnott-Armstrong N et al. Nat Genet (2021) |
Reported Trait: SHBG [nmol/L] | — | — | R²: 0.22708 Spearman's ρ: 0.235 |
Age, sex, PCs(1-40) | — |
| PPM001457 | PGS000694 (snpnet.SHBG) |
PSS000745| East Asian Ancestry| 979 individuals |
PGP000128 | Sinnott-Armstrong N et al. Nat Genet (2021) |
Reported Trait: SHBG [nmol/L] | — | — | R²: 0.31846 Spearman's ρ: 0.311 |
Age, sex, PCs(1-40) | — |
| PPM001492 | PGS000694 (snpnet.SHBG) |
PSS000746| European Ancestry| 21,313 individuals |
PGP000128 | Sinnott-Armstrong N et al. Nat Genet (2021) |
Reported Trait: SHBG [nmol/L] | — | — | R²: 0.35511 Spearman's ρ: 0.384 |
Age, sex, PCs(1-40) | — |
| PPM001527 | PGS000694 (snpnet.SHBG) |
PSS000747| South Asian Ancestry| 6,638 individuals |
PGP000128 | Sinnott-Armstrong N et al. Nat Genet (2021) |
Reported Trait: SHBG [nmol/L] | — | — | R²: 0.28079 Spearman's ρ: 0.326 |
Age, sex, PCs(1-40) | — |
| PPM001562 | PGS000694 (snpnet.SHBG) |
PSS000748| European Ancestry| 57,677 individuals |
PGP000128 | Sinnott-Armstrong N et al. Nat Genet (2021) |
Reported Trait: SHBG [nmol/L] | — | — | R²: 0.34576 Spearman's ρ: 0.414 |
Age, sex, PCs(1-40) | — |
| PPM001571 | PGS000694 (snpnet.SHBG) |
PSS000830| European Ancestry| 2,129 individuals |
PGP000128 | Sinnott-Armstrong N et al. Nat Genet (2021) |
Reported Trait: SHBG [nmol/L] | — | — | Spearman's ρ: 0.19 | Age, sex | — |
| PPM007395 | PGS000694 (snpnet.SHBG) |
PSS007186| African Ancestry| 5,606 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |Ext. |
Reported Trait: SHBG | — | — | R²: 0.15136 [0.13531, 0.16741] Incremental R2 (full-covars): 0.00248 PGS R2 (no covariates): 0.04048 [0.0311, 0.04987] |
age, sex, UKB array type, Genotype PCs | — |
| PPM007396 | PGS000694 (snpnet.SHBG) |
PSS007187| East Asian Ancestry| 1,463 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |Ext. |
Reported Trait: SHBG | — | — | R²: 0.21699 [0.18242, 0.25155] Incremental R2 (full-covars): 0.00252 PGS R2 (no covariates): 0.04369 [0.02475, 0.06264] |
age, sex, UKB array type, Genotype PCs | — |
| PPM007397 | PGS000694 (snpnet.SHBG) |
PSS007188| European Ancestry| 21,531 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |Ext. |
Reported Trait: SHBG | — | — | R²: 0.18855 [0.1798, 0.1973] Incremental R2 (full-covars): 0.00395 PGS R2 (no covariates): 0.09661 [0.08964, 0.10359] |
age, sex, UKB array type, Genotype PCs | — |
| PPM007398 | PGS000694 (snpnet.SHBG) |
PSS007189| South Asian Ancestry| 6,736 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |Ext. |
Reported Trait: SHBG | — | — | R²: 0.13468 [0.12062, 0.14874] Incremental R2 (full-covars): 0.004 PGS R2 (no covariates): 0.07268 [0.06161, 0.08375] |
age, sex, UKB array type, Genotype PCs | — |
| PPM007399 | PGS000694 (snpnet.SHBG) |
PSS007190| European Ancestry| 58,525 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |Ext. |
Reported Trait: SHBG | — | — | R²: 0.16541 [0.16028, 0.17053] Incremental R2 (full-covars): 0.0045 PGS R2 (no covariates): 0.11086 [0.10639, 0.11533] |
age, sex, UKB array type, Genotype PCs | — |
| PPM022571 | PGS000694 (snpnet.SHBG) |
PSS012020| European Ancestry| 233 individuals |
PGP000725 | Busch AS et al. J Clin Endocrinol Metab (2024) |Ext. |
Reported Trait: Mean SHBG SDS in infancy | β: 2.4 (0.5) | — | R²: 0.18 | — | — |
| PPM001424 | PGS000696 (snpnet.Testosterone) |
PSS000757| African Ancestry| 5,453 individuals |
PGP000128 | Sinnott-Armstrong N et al. Nat Genet (2021) |
Reported Trait: Testosterone [nmol/L] | — | — | R²: 0.89659 Spearman's ρ: 0.091 |
Age, sex, PCs(1-40) | — |
| PPM001459 | PGS000696 (snpnet.Testosterone) |
PSS000758| East Asian Ancestry| 1,008 individuals |
PGP000128 | Sinnott-Armstrong N et al. Nat Genet (2021) |
Reported Trait: Testosterone [nmol/L] | — | — | R²: 0.91376 Spearman's ρ: 0.115 |
Age, sex, PCs(1-40) | — |
| PPM001494 | PGS000696 (snpnet.Testosterone) |
PSS000759| European Ancestry| 21,344 individuals |
PGP000128 | Sinnott-Armstrong N et al. Nat Genet (2021) |
Reported Trait: Testosterone [nmol/L] | — | — | R²: 0.90433 Spearman's ρ: 0.169 |
Age, sex, PCs(1-40) | — |
| PPM001529 | PGS000696 (snpnet.Testosterone) |
PSS000760| South Asian Ancestry| 6,680 individuals |
PGP000128 | Sinnott-Armstrong N et al. Nat Genet (2021) |
Reported Trait: Testosterone [nmol/L] | — | — | R²: 0.89983 Spearman's ρ: 0.149 |
Age, sex, PCs(1-40) | — |
| PPM001564 | PGS000696 (snpnet.Testosterone) |
PSS000761| European Ancestry| 57,774 individuals |
PGP000128 | Sinnott-Armstrong N et al. Nat Genet (2021) |
Reported Trait: Testosterone [nmol/L] | — | — | R²: 0.9055 Spearman's ρ: 0.175 |
Age, sex, PCs(1-40) | — |
| PPM001572 | PGS000696 (snpnet.Testosterone) |
PSS000831| European Ancestry| 2,129 individuals |
PGP000128 | Sinnott-Armstrong N et al. Nat Genet (2021) |
Reported Trait: Testosterone [nmol/L] | — | — | Spearman's ρ: 0.104 | Age, sex | — |
| PPM007405 | PGS000696 (snpnet.Testosterone) |
PSS007196| African Ancestry| 5,534 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |Ext. |
Reported Trait: Testosterone | — | — | R²: 0.80968 [0.80136, 0.81801] Incremental R2 (full-covars): 0.00067 PGS R2 (no covariates): 0.00079 [-0.00058, 0.00215] |
age, sex, UKB array type, Genotype PCs | — |
| PPM007406 | PGS000696 (snpnet.Testosterone) |
PSS007197| East Asian Ancestry| 1,506 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |Ext. |
Reported Trait: Testosterone | — | — | R²: 0.865 [0.8531, 0.8769] Incremental R2 (full-covars): 0.0008 PGS R2 (no covariates): 0.00346 [-0.00209, 0.00902] |
age, sex, UKB array type, Genotype PCs | — |
| PPM007407 | PGS000696 (snpnet.Testosterone) |
PSS007198| European Ancestry| 21,549 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |Ext. |
Reported Trait: Testosterone | — | — | R²: 0.8185 [0.81442, 0.82257] Incremental R2 (full-covars): 0.00147 PGS R2 (no covariates): 0.00189 [0.00081, 0.00297] |
age, sex, UKB array type, Genotype PCs | — |
| PPM007408 | PGS000696 (snpnet.Testosterone) |
PSS007199| South Asian Ancestry| 6,754 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |Ext. |
Reported Trait: Testosterone | — | — | R²: 0.77833 [0.76967, 0.78698] Incremental R2 (full-covars): 0.00157 PGS R2 (no covariates): 0.00425 [0.00137, 0.00712] |
age, sex, UKB array type, Genotype PCs | — |
| PPM007409 | PGS000696 (snpnet.Testosterone) |
PSS007200| European Ancestry| 58,509 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |Ext. |
Reported Trait: Testosterone | — | — | R²: 0.8074 [0.80479, 0.81001] Incremental R2 (full-covars): 0.00156 PGS R2 (no covariates): 0.00319 [0.00234, 0.00404] |
age, sex, UKB array type, Genotype PCs | — |
| PPM002253 | PGS000834 (CIR) |
PSS001086| European Ancestry| 3,194 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Severe Autoimmune Diabetes | OR: 0.98 [0.89, 1.08] | — | — | PC1-10 | — |
| PPM002254 | PGS000834 (CIR) |
PSS001087| European Ancestry| 3,930 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Severe Insulin-Deficient Diabetes | OR: 0.76 [0.71, 0.82] | — | — | PC1-10 | — |
| PPM002255 | PGS000834 (CIR) |
PSS001088| European Ancestry| 3,869 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Severe Insulin-Resistant Diabetes | OR: 1.02 [0.95, 1.09] | — | — | PC1-10 | — |
| PPM002256 | PGS000834 (CIR) |
PSS001085| European Ancestry| 4,116 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Moderate Obesity-related Diabetes | OR: 0.79 [0.74, 0.85] | — | — | PC1-10 | — |
| PPM002257 | PGS000834 (CIR) |
PSS001084| European Ancestry| 5,597 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Moderate Age-Related Diabetes | OR: 0.82 [0.77, 0.86] | — | — | PC1-10 | — |
| PPM020169 | PGS000834 (CIR) |
PSS011301| South Asian Ancestry| 1,282 individuals |
PGP000525 | Yajnik CS et al. Lancet Reg Health Southeast Asia (2023) |Ext. |
Reported Trait: Type 2 diabetes | OR: 0.72 [0.6, 0.85] | — | — | age, sex and BMI | — |
| PPM020189 | PGS000834 (CIR) |
PSS011302| South Asian Ancestry| 830 individuals |
PGP000525 | Yajnik CS et al. Lancet Reg Health Southeast Asia (2023) |Ext. |
Reported Trait: Severe insulin deficiency diabetes | OR: 0.86 [0.75, 0.99] | — | — | sex | — |
| PPM020198 | PGS000834 (CIR) |
PSS011303| South Asian Ancestry| 729 individuals |
PGP000525 | Yajnik CS et al. Lancet Reg Health Southeast Asia (2023) |Ext. |
Reported Trait: Mild obesity-related diabetes | OR: 0.85 [0.73, 1.0] | — | — | sex | — |
| PPM002268 | PGS000837 (ISI) |
PSS001086| European Ancestry| 3,194 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Severe Autoimmune Diabetes | OR: 0.92 [0.83, 1.01] | — | — | PC1-10 | — |
| PPM002269 | PGS000837 (ISI) |
PSS001087| European Ancestry| 3,930 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Severe Insulin-Deficient Diabetes | OR: 0.93 [0.86, 0.99] | — | — | PC1-10 | — |
| PPM002270 | PGS000837 (ISI) |
PSS001088| European Ancestry| 3,869 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Severe Insulin-Resistant Diabetes | OR: 0.84 [0.79, 0.91] | — | — | PC1-10 | — |
| PPM002271 | PGS000837 (ISI) |
PSS001085| European Ancestry| 4,116 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Moderate Obesity-related Diabetes | OR: 0.88 [0.82, 0.94] | — | — | PC1-10 | — |
| PPM002272 | PGS000837 (ISI) |
PSS001084| European Ancestry| 5,597 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Moderate Age-Related Diabetes | OR: 0.95 [0.9, 1.0] | — | — | PC1-10 | — |
| PPM020179 | PGS000837 (ISI) |
PSS011301| South Asian Ancestry| 1,282 individuals |
PGP000525 | Yajnik CS et al. Lancet Reg Health Southeast Asia (2023) |Ext. |
Reported Trait: HOMA2IR | β: -0.09902 (0.047574) | — | — | — | — |
| PPM002283 | PGS000840 (Fasting_Proinsulin) |
PSS001086| European Ancestry| 3,194 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Severe Autoimmune Diabetes | OR: 0.91 [0.82, 1.01] | — | — | PC1-10 | — |
| PPM002285 | PGS000840 (Fasting_Proinsulin) |
PSS001088| European Ancestry| 3,869 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Severe Insulin-Resistant Diabetes | OR: 1.04 [0.97, 1.11] | — | — | PC1-10 | — |
| PPM002286 | PGS000840 (Fasting_Proinsulin) |
PSS001085| European Ancestry| 4,116 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Moderate Obesity-related Diabetes | OR: 1.06 [1.0, 1.14] | — | — | PC1-10 | — |
| PPM002287 | PGS000840 (Fasting_Proinsulin) |
PSS001084| European Ancestry| 5,597 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Moderate Age-Related Diabetes | OR: 1.07 [1.01, 1.12] | — | — | PC1-10 | — |
| PPM002284 | PGS000840 (Fasting_Proinsulin) |
PSS001087| European Ancestry| 3,930 individuals |
PGP000211 | Aly DM et al. Nat Genet (2021) |
Reported Trait: Severe Insulin-Deficient Diabetes | OR: 1.11 [1.04, 1.19] | — | — | PC1-10 | — |
| PPM008323 | PGS001117 (GBE_BIN_FC10002986) |
PSS003731| African Ancestry| 705 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Started insulin within one year diagnosis of diabetes | — | AUROC: 0.6057 [0.54935, 0.66205] | R²: 0.03335 Incremental AUROC (full-covars): 0.01803 PGS R2 (no covariates): 0.00453 PGS AUROC (no covariates): 0.54401 [0.48567, 0.60235] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008324 | PGS001117 (GBE_BIN_FC10002986) |
PSS003732| East Asian Ancestry| 86 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Started insulin within one year diagnosis of diabetes | — | AUROC: 0.71573 [0.51412, 0.91734] | R²: 0.15018 Incremental AUROC (full-covars): -0.09668 PGS R2 (no covariates): 0.11116 PGS AUROC (no covariates): 0.29582 [0.14557, 0.44606] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008325 | PGS001117 (GBE_BIN_FC10002986) |
PSS003733| European Ancestry| 1,089 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Started insulin within one year diagnosis of diabetes | — | AUROC: 0.80203 [0.75876, 0.8453] | R²: 0.28861 Incremental AUROC (full-covars): 0.05722 PGS R2 (no covariates): 0.17586 PGS AUROC (no covariates): 0.72657 [0.67703, 0.77611] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008326 | PGS001117 (GBE_BIN_FC10002986) |
PSS003734| South Asian Ancestry| 1,358 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Started insulin within one year diagnosis of diabetes | — | AUROC: 0.62878 [0.57833, 0.67923] | R²: 0.03294 Incremental AUROC (full-covars): 0.02324 PGS R2 (no covariates): 0.01621 PGS AUROC (no covariates): 0.58662 [0.53076, 0.64248] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008327 | PGS001117 (GBE_BIN_FC10002986) |
PSS003735| European Ancestry| 3,243 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Started insulin within one year diagnosis of diabetes | — | AUROC: 0.74056 [0.71173, 0.76938] | R²: 0.17764 Incremental AUROC (full-covars): 0.0941 PGS R2 (no covariates): 0.12982 PGS AUROC (no covariates): 0.71086 [0.68153, 0.74018] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008599 | PGS001182 (GBE_BIN10030800) |
PSS003617| African Ancestry| 5,634 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Oestradiol > 212 pmol/L | — | AUROC: 0.84561 [0.83153, 0.85969] | R²: 0.36666 Incremental AUROC (full-covars): 0.0004 PGS R2 (no covariates): 0.00269 PGS AUROC (no covariates): 0.52894 [0.51075, 0.54713] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008600 | PGS001182 (GBE_BIN10030800) |
PSS003618| East Asian Ancestry| 1,519 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Oestradiol > 212 pmol/L | — | AUROC: 0.87744 [0.85387, 0.90101] | R²: 0.4381 Incremental AUROC (full-covars): 0.00067 PGS R2 (no covariates): 0.00244 PGS AUROC (no covariates): 0.52764 [0.49274, 0.56254] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008601 | PGS001182 (GBE_BIN10030800) |
PSS003619| European Ancestry| 22,152 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Oestradiol > 212 pmol/L | — | AUROC: 0.86243 [0.85486, 0.87001] | R²: 0.40572 Incremental AUROC (full-covars): 0.00045 PGS R2 (no covariates): 0.00134 PGS AUROC (no covariates): 0.52174 [0.51159, 0.5319] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008602 | PGS001182 (GBE_BIN10030800) |
PSS003620| South Asian Ancestry| 6,943 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Oestradiol > 212 pmol/L | — | AUROC: 0.84655 [0.8301, 0.86301] | R²: 0.36479 Incremental AUROC (full-covars): -0.00035 PGS R2 (no covariates): 1e-05 PGS AUROC (no covariates): 0.50081 [0.48154, 0.52008] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM008603 | PGS001182 (GBE_BIN10030800) |
PSS003621| European Ancestry| 59,957 individuals |
PGP000244 | Tanigawa Y et al. PLoS Genet (2022) |
Reported Trait: Oestradiol > 212 pmol/L | — | AUROC: 0.85144 [0.84586, 0.85701] | R²: 0.36546 Incremental AUROC (full-covars): 0.00059 PGS R2 (no covariates): 0.00121 PGS AUROC (no covariates): 0.52103 [0.51414, 0.52793] |
age, sex, UKB array type, Genotype PCs | Full Model & PGS R2 is estimated using Nagelkerke's method |
| PPM010195 | PGS001914 (portability-PLR_F_log_testosterone) |
PSS009374| European Ancestry| 9,296 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Testosterone (female only) | — | — | Partial Correlation (partial-r): 0.1628 [0.143, 0.1826] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010197 | PGS001914 (portability-PLR_F_log_testosterone) |
PSS008702| European Ancestry| 3,123 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Testosterone (female only) | — | — | Partial Correlation (partial-r): 0.1116 [0.0767, 0.1462] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010198 | PGS001914 (portability-PLR_F_log_testosterone) |
PSS008476| Greater Middle Eastern Ancestry| 562 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Testosterone (female only) | — | — | Partial Correlation (partial-r): 0.2041 [0.122, 0.2835] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010199 | PGS001914 (portability-PLR_F_log_testosterone) |
PSS008254| South Asian Ancestry| 2,976 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Testosterone (female only) | — | — | Partial Correlation (partial-r): 0.1494 [0.114, 0.1845] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010200 | PGS001914 (portability-PLR_F_log_testosterone) |
PSS008032| East Asian Ancestry| 855 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Testosterone (female only) | — | — | Partial Correlation (partial-r): 0.0621 [-0.0058, 0.1294] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010201 | PGS001914 (portability-PLR_F_log_testosterone) |
PSS007818| African Ancestry| 1,112 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Testosterone (female only) | — | — | Partial Correlation (partial-r): 0.0967 [0.0376, 0.1551] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010202 | PGS001914 (portability-PLR_F_log_testosterone) |
PSS008922| African Ancestry| 1,808 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Testosterone (female only) | — | — | Partial Correlation (partial-r): 0.0739 [0.0276, 0.1198] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010196 | PGS001914 (portability-PLR_F_log_testosterone) |
PSS009148| European Ancestry| 1,918 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Testosterone (female only) | — | — | Partial Correlation (partial-r): 0.1364 [0.092, 0.1803] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010555 | PGS001960 (portability-PLR_log_IGF1) |
PSS009435| European Ancestry| 18,901 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: IGF-1 | — | — | Partial Correlation (partial-r): 0.3977 [0.3856, 0.4096] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010556 | PGS001960 (portability-PLR_log_IGF1) |
PSS009209| European Ancestry| 3,935 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: IGF-1 | — | — | Partial Correlation (partial-r): 0.3641 [0.3366, 0.391] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010557 | PGS001960 (portability-PLR_log_IGF1) |
PSS008763| European Ancestry| 6,290 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: IGF-1 | — | — | Partial Correlation (partial-r): 0.3719 [0.3503, 0.393] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010558 | PGS001960 (portability-PLR_log_IGF1) |
PSS008537| Greater Middle Eastern Ancestry| 1,118 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: IGF-1 | — | — | Partial Correlation (partial-r): 0.3755 [0.3236, 0.4253] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010559 | PGS001960 (portability-PLR_log_IGF1) |
PSS008315| South Asian Ancestry| 5,961 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: IGF-1 | — | — | Partial Correlation (partial-r): 0.3361 [0.3134, 0.3585] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010560 | PGS001960 (portability-PLR_log_IGF1) |
PSS008092| East Asian Ancestry| 1,710 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: IGF-1 | — | — | Partial Correlation (partial-r): 0.2886 [0.2443, 0.3317] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010561 | PGS001960 (portability-PLR_log_IGF1) |
PSS007879| African Ancestry| 2,328 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: IGF-1 | — | — | Partial Correlation (partial-r): 0.1917 [0.1521, 0.2307] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010562 | PGS001960 (portability-PLR_log_IGF1) |
PSS008983| African Ancestry| 3,637 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: IGF-1 | — | — | Partial Correlation (partial-r): 0.2039 [0.1725, 0.2349] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010692 | PGS001977 (portability-PLR_log_SHBG) |
PSS009210| European Ancestry| 3,563 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Sex hormone binding globulin (SHBG) | — | — | Partial Correlation (partial-r): 0.3909 [0.3627, 0.4185] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010693 | PGS001977 (portability-PLR_log_SHBG) |
PSS008764| European Ancestry| 5,738 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Sex hormone binding globulin (SHBG) | — | — | Partial Correlation (partial-r): 0.4056 [0.3837, 0.427] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010694 | PGS001977 (portability-PLR_log_SHBG) |
PSS008538| Greater Middle Eastern Ancestry| 1,025 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Sex hormone binding globulin (SHBG) | — | — | Partial Correlation (partial-r): 0.3846 [0.3307, 0.4361] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010695 | PGS001977 (portability-PLR_log_SHBG) |
PSS008316| South Asian Ancestry| 5,437 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Sex hormone binding globulin (SHBG) | — | — | Partial Correlation (partial-r): 0.3532 [0.3297, 0.3763] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010696 | PGS001977 (portability-PLR_log_SHBG) |
PSS008093| East Asian Ancestry| 1,548 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Sex hormone binding globulin (SHBG) | — | — | Partial Correlation (partial-r): 0.3607 [0.3163, 0.4035] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010697 | PGS001977 (portability-PLR_log_SHBG) |
PSS007880| African Ancestry| 2,140 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Sex hormone binding globulin (SHBG) | — | — | Partial Correlation (partial-r): 0.2192 [0.1783, 0.2594] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010698 | PGS001977 (portability-PLR_log_SHBG) |
PSS008984| African Ancestry| 3,374 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Sex hormone binding globulin (SHBG) | — | — | Partial Correlation (partial-r): 0.1912 [0.1584, 0.2236] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010691 | PGS001977 (portability-PLR_log_SHBG) |
PSS009436| European Ancestry| 17,266 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Sex hormone binding globulin (SHBG) | — | — | Partial Correlation (partial-r): 0.4274 [0.4152, 0.4396] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010779 | PGS001988 (portability-PLR_M_log_testosterone) |
PSS009380| European Ancestry| 7,947 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Testosterone (male only) | — | — | Partial Correlation (partial-r): 0.1448 [0.1232, 0.1663] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010780 | PGS001988 (portability-PLR_M_log_testosterone) |
PSS009154| European Ancestry| 1,666 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Testosterone (male only) | — | — | Partial Correlation (partial-r): 0.1145 [0.0665, 0.1619] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010781 | PGS001988 (portability-PLR_M_log_testosterone) |
PSS008708| European Ancestry| 2,641 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Testosterone (male only) | — | — | Partial Correlation (partial-r): 0.1082 [0.0702, 0.1459] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010782 | PGS001988 (portability-PLR_M_log_testosterone) |
PSS008482| Greater Middle Eastern Ancestry| 485 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Testosterone (male only) | — | — | Partial Correlation (partial-r): 0.1329 [0.0425, 0.2212] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010783 | PGS001988 (portability-PLR_M_log_testosterone) |
PSS008260| South Asian Ancestry| 2,486 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Testosterone (male only) | — | — | Partial Correlation (partial-r): 0.1284 [0.0893, 0.167] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010784 | PGS001988 (portability-PLR_M_log_testosterone) |
PSS008038| East Asian Ancestry| 742 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Testosterone (male only) | — | — | Partial Correlation (partial-r): 0.0942 [0.0214, 0.1661] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010786 | PGS001988 (portability-PLR_M_log_testosterone) |
PSS008928| African Ancestry| 1,551 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Testosterone (male only) | — | — | Partial Correlation (partial-r): 0.0262 [-0.0239, 0.0762] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM010785 | PGS001988 (portability-PLR_M_log_testosterone) |
PSS007824| African Ancestry| 973 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Testosterone (male only) | — | — | Partial Correlation (partial-r): 0.0604 [-0.0031, 0.1234] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011897 | PGS002130 (portability-ldpred2_F_log_testosterone) |
PSS008702| European Ancestry| 3,123 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Testosterone (female only) | — | — | Partial Correlation (partial-r): 0.1053 [0.0704, 0.14] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011895 | PGS002130 (portability-ldpred2_F_log_testosterone) |
PSS009374| European Ancestry| 9,296 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Testosterone (female only) | — | — | Partial Correlation (partial-r): 0.1633 [0.1434, 0.183] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011896 | PGS002130 (portability-ldpred2_F_log_testosterone) |
PSS009148| European Ancestry| 1,918 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Testosterone (female only) | — | — | Partial Correlation (partial-r): 0.1566 [0.1124, 0.2001] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011898 | PGS002130 (portability-ldpred2_F_log_testosterone) |
PSS008476| Greater Middle Eastern Ancestry| 562 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Testosterone (female only) | — | — | Partial Correlation (partial-r): 0.2432 [0.1623, 0.3208] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011899 | PGS002130 (portability-ldpred2_F_log_testosterone) |
PSS008254| South Asian Ancestry| 2,976 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Testosterone (female only) | — | — | Partial Correlation (partial-r): 0.1496 [0.1142, 0.1847] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011900 | PGS002130 (portability-ldpred2_F_log_testosterone) |
PSS008032| East Asian Ancestry| 855 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Testosterone (female only) | — | — | Partial Correlation (partial-r): 0.048 [-0.0199, 0.1155] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011901 | PGS002130 (portability-ldpred2_F_log_testosterone) |
PSS007818| African Ancestry| 1,112 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Testosterone (female only) | — | — | Partial Correlation (partial-r): 0.1167 [0.0578, 0.1749] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM011902 | PGS002130 (portability-ldpred2_F_log_testosterone) |
PSS008922| African Ancestry| 1,808 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Testosterone (female only) | — | — | Partial Correlation (partial-r): 0.0774 [0.0311, 0.1233] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012271 | PGS002178 (portability-ldpred2_log_IGF1) |
PSS009435| European Ancestry| 18,901 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: IGF-1 | — | — | Partial Correlation (partial-r): 0.3913 [0.3791, 0.4033] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012272 | PGS002178 (portability-ldpred2_log_IGF1) |
PSS009209| European Ancestry| 3,935 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: IGF-1 | — | — | Partial Correlation (partial-r): 0.3623 [0.3347, 0.3892] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012273 | PGS002178 (portability-ldpred2_log_IGF1) |
PSS008763| European Ancestry| 6,290 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: IGF-1 | — | — | Partial Correlation (partial-r): 0.3614 [0.3397, 0.3827] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012275 | PGS002178 (portability-ldpred2_log_IGF1) |
PSS008315| South Asian Ancestry| 5,961 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: IGF-1 | — | — | Partial Correlation (partial-r): 0.3299 [0.3071, 0.3524] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012276 | PGS002178 (portability-ldpred2_log_IGF1) |
PSS008092| East Asian Ancestry| 1,710 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: IGF-1 | — | — | Partial Correlation (partial-r): 0.2809 [0.2364, 0.3242] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012277 | PGS002178 (portability-ldpred2_log_IGF1) |
PSS007879| African Ancestry| 2,328 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: IGF-1 | — | — | Partial Correlation (partial-r): 0.1863 [0.1466, 0.2254] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012278 | PGS002178 (portability-ldpred2_log_IGF1) |
PSS008983| African Ancestry| 3,637 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: IGF-1 | — | — | Partial Correlation (partial-r): 0.2085 [0.1771, 0.2395] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012274 | PGS002178 (portability-ldpred2_log_IGF1) |
PSS008537| Greater Middle Eastern Ancestry| 1,118 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: IGF-1 | — | — | Partial Correlation (partial-r): 0.3575 [0.3048, 0.408] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012407 | PGS002195 (portability-ldpred2_log_SHBG) |
PSS009436| European Ancestry| 17,266 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Sex hormone binding globulin (SHBG) | — | — | Partial Correlation (partial-r): 0.417 [0.4046, 0.4292] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012408 | PGS002195 (portability-ldpred2_log_SHBG) |
PSS009210| European Ancestry| 3,563 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Sex hormone binding globulin (SHBG) | — | — | Partial Correlation (partial-r): 0.3776 [0.349, 0.4055] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012410 | PGS002195 (portability-ldpred2_log_SHBG) |
PSS008538| Greater Middle Eastern Ancestry| 1,025 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Sex hormone binding globulin (SHBG) | — | — | Partial Correlation (partial-r): 0.3852 [0.3312, 0.4366] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012411 | PGS002195 (portability-ldpred2_log_SHBG) |
PSS008316| South Asian Ancestry| 5,437 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Sex hormone binding globulin (SHBG) | — | — | Partial Correlation (partial-r): 0.3497 [0.3261, 0.3729] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012412 | PGS002195 (portability-ldpred2_log_SHBG) |
PSS008093| East Asian Ancestry| 1,548 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Sex hormone binding globulin (SHBG) | — | — | Partial Correlation (partial-r): 0.3684 [0.3242, 0.4109] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012413 | PGS002195 (portability-ldpred2_log_SHBG) |
PSS007880| African Ancestry| 2,140 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Sex hormone binding globulin (SHBG) | — | — | Partial Correlation (partial-r): 0.2151 [0.1741, 0.2554] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012414 | PGS002195 (portability-ldpred2_log_SHBG) |
PSS008984| African Ancestry| 3,374 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Sex hormone binding globulin (SHBG) | — | — | Partial Correlation (partial-r): 0.1604 [0.1272, 0.1932] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012409 | PGS002195 (portability-ldpred2_log_SHBG) |
PSS008764| European Ancestry| 5,738 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Sex hormone binding globulin (SHBG) | — | — | Partial Correlation (partial-r): 0.3934 [0.3713, 0.4151] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012487 | PGS002205 (portability-ldpred2_M_log_testosterone) |
PSS009380| European Ancestry| 7,947 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Testosterone (male only) | — | — | Partial Correlation (partial-r): 0.1503 [0.1287, 0.1717] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012488 | PGS002205 (portability-ldpred2_M_log_testosterone) |
PSS009154| European Ancestry| 1,666 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Testosterone (male only) | — | — | Partial Correlation (partial-r): 0.1423 [0.0946, 0.1893] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012489 | PGS002205 (portability-ldpred2_M_log_testosterone) |
PSS008708| European Ancestry| 2,641 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Testosterone (male only) | — | — | Partial Correlation (partial-r): 0.1259 [0.088, 0.1634] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012490 | PGS002205 (portability-ldpred2_M_log_testosterone) |
PSS008482| Greater Middle Eastern Ancestry| 485 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Testosterone (male only) | — | — | Partial Correlation (partial-r): 0.1526 [0.0626, 0.2402] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012491 | PGS002205 (portability-ldpred2_M_log_testosterone) |
PSS008260| South Asian Ancestry| 2,486 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Testosterone (male only) | — | — | Partial Correlation (partial-r): 0.1129 [0.0737, 0.1517] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012492 | PGS002205 (portability-ldpred2_M_log_testosterone) |
PSS008038| East Asian Ancestry| 742 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Testosterone (male only) | — | — | Partial Correlation (partial-r): 0.0935 [0.0207, 0.1654] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012494 | PGS002205 (portability-ldpred2_M_log_testosterone) |
PSS008928| African Ancestry| 1,551 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Testosterone (male only) | — | — | Partial Correlation (partial-r): 0.0302 [-0.0199, 0.0802] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM012493 | PGS002205 (portability-ldpred2_M_log_testosterone) |
PSS007824| African Ancestry| 973 individuals |
PGP000263 | Privé F et al. Am J Hum Genet (2022) |
Reported Trait: Testosterone (male only) | — | — | Partial Correlation (partial-r): 0.0603 [-0.0033, 0.1233] | sex, age, birth date, deprivation index, 16 PCs | — |
| PPM015793 | PGS002914 (ExPRSweb_Estradiol_30800-irnt_LASSOSUM_MGI_20211120) |
PSS010003| European Ancestry| 937 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: Estradiol | β: 2.0 (1.72) | — | R²: 0.00135 | SEX,AGE,Batch,PC1,PC2,PC3,PC4 | — |
| PPM015796 | PGS002915 (ExPRSweb_Estradiol_30800-irnt_PT_MGI_20211120) |
PSS010003| European Ancestry| 937 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: Estradiol | β: -2.37 (1.7) | — | R²: 0.00113 | SEX,AGE,Batch,PC1,PC2,PC3,PC4 | — |
| PPM015794 | PGS002916 (ExPRSweb_Estradiol_30800-irnt_PLINK_MGI_20211120) |
PSS010003| European Ancestry| 937 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: Estradiol | β: 2.02 (1.7) | — | R²: 0.00141 | SEX,AGE,Batch,PC1,PC2,PC3,PC4 | — |
| PPM015792 | PGS002917 (ExPRSweb_Estradiol_30800-irnt_DBSLMM_MGI_20211120) |
PSS010003| European Ancestry| 937 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: Estradiol | β: 2.1 (1.62) | — | R²: 0.00272 | SEX,AGE,Batch,PC1,PC2,PC3,PC4 | — |
| PPM015795 | PGS002918 (ExPRSweb_Estradiol_30800-irnt_PRSCS_MGI_20211120) |
PSS010003| European Ancestry| 937 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: Estradiol | β: 1.86 (1.69) | — | R²: 0.00158 | SEX,AGE,Batch,PC1,PC2,PC3,PC4 | — |
| PPM015798 | PGS002919 (ExPRSweb_Estradiol_30800-raw_LASSOSUM_MGI_20211120) |
PSS010003| European Ancestry| 937 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: Estradiol | β: 1.83 (1.68) | — | R²: 0.00151 | SEX,AGE,Batch,PC1,PC2,PC3,PC4 | — |
| PPM015801 | PGS002920 (ExPRSweb_Estradiol_30800-raw_PT_MGI_20211120) |
PSS010003| European Ancestry| 937 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: Estradiol | β: 0.534 (1.69) | — | R²: 0.00032 | SEX,AGE,Batch,PC1,PC2,PC3,PC4 | — |
| PPM015799 | PGS002921 (ExPRSweb_Estradiol_30800-raw_PLINK_MGI_20211120) |
PSS010003| European Ancestry| 937 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: Estradiol | β: 0.417 (1.62) | — | R²: 0.00012 | SEX,AGE,Batch,PC1,PC2,PC3,PC4 | — |
| PPM015797 | PGS002922 (ExPRSweb_Estradiol_30800-raw_DBSLMM_MGI_20211120) |
PSS010003| European Ancestry| 937 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: Estradiol | β: 1.24 (1.63) | — | R²: 0.00106 | SEX,AGE,Batch,PC1,PC2,PC3,PC4 | — |
| PPM015800 | PGS002923 (ExPRSweb_Estradiol_30800-raw_PRSCS_MGI_20211120) |
PSS010003| European Ancestry| 937 individuals |
PGP000393 | Ma Y et al. Am J Hum Genet (2022) |
Reported Trait: Estradiol | β: 3.31 (1.66) | — | R²: 0.00441 | SEX,AGE,Batch,PC1,PC2,PC3,PC4 | — |
| PPM017280 | PGS003469 (LDPred2_HOMA_B) |
PSS010185| Hispanic or Latin American Ancestry| 1,115 individuals |
PGP000456 | Zhang Y et al. EBioMedicine (2022) |
Reported Trait: Respiratory event index | β: 0.002 (0.01) | — | — | Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI | — |
| PPM017303 | PGS003469 (LDPred2_HOMA_B) |
PSS010185| Hispanic or Latin American Ancestry| 1,115 individuals |
PGP000456 | Zhang Y et al. EBioMedicine (2022) |
Reported Trait: Obstructive sleep apnea | β: 0.023 (0.024) | — | — | Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI | — |
| PPM017348 | PGS003469 (LDPred2_HOMA_B) |
PSS010185| Hispanic or Latin American Ancestry| 1,115 individuals |
PGP000456 | Zhang Y et al. EBioMedicine (2022) |
Reported Trait: Respiratory event index in obsese | β: 0.025 (0.017) | — | — | Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI | — |
| PPM017368 | PGS003469 (LDPred2_HOMA_B) |
PSS010185| Hispanic or Latin American Ancestry| 1,115 individuals |
PGP000456 | Zhang Y et al. EBioMedicine (2022) |
Reported Trait: Obstructive sleep apnea in obsese | β: 0.049 (0.034) | — | — | Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI | — |
| PPM017369 | PGS003469 (LDPred2_HOMA_B) |
PSS010185| Hispanic or Latin American Ancestry| 1,115 individuals |
PGP000456 | Zhang Y et al. EBioMedicine (2022) |
Reported Trait: Obstructive sleep apnea in non-obsese | β: -0.007 (0.035) | — | — | Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI | — |
| PPM017396 | PGS003469 (LDPred2_HOMA_B) |
PSS010185| Hispanic or Latin American Ancestry| 1,115 individuals |
PGP000456 | Zhang Y et al. EBioMedicine (2022) |
Reported Trait: Respiratory event index x obesity interaction | β: 0.041 (1.042) | — | — | Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI | — |
| PPM017349 | PGS003469 (LDPred2_HOMA_B) |
PSS010185| Hispanic or Latin American Ancestry| 1,115 individuals |
PGP000456 | Zhang Y et al. EBioMedicine (2022) |
Reported Trait: Respiratory event index in non-obsese | β: -0.016 (0.012) | — | — | Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI | — |
| PPM017406 | PGS003469 (LDPred2_HOMA_B) |
PSS010185| Hispanic or Latin American Ancestry| 1,115 individuals |
PGP000456 | Zhang Y et al. EBioMedicine (2022) |
Reported Trait: Obstructive sleep apnea x obesity interaction | β: 1.041 (0.049) | — | — | Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI | — |
| PPM017281 | PGS003470 (LDPred2_HOMA_IR) |
PSS010185| Hispanic or Latin American Ancestry| 1,115 individuals |
PGP000456 | Zhang Y et al. EBioMedicine (2022) |
Reported Trait: Respiratory event index | β: 0.003 (0.011) | — | — | Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI | — |
| PPM017304 | PGS003470 (LDPred2_HOMA_IR) |
PSS010185| Hispanic or Latin American Ancestry| 1,115 individuals |
PGP000456 | Zhang Y et al. EBioMedicine (2022) |
Reported Trait: Obstructive sleep apnea | β: 0.006 (0.025) | — | — | Age, sex, center, 5 genetic PCs, Hispanic/Latino background, BMI | — |
| PPM017435 | PGS003507 (cont-decay-F_log_testosterone) |
PSS010868| European Ancestry| 8,475 individuals |
PGP000457 | Ding Y et al. Nature (2023) |
Reported Trait: Testosterone (female only) | — | — | partial-R2: 0.06 | sex, age, deprivation index, PC1-16 | — |
| PPM017519 | PGS003507 (cont-decay-F_log_testosterone) |
PSS010784| European Ancestry| 2,096 individuals |
PGP000457 | Ding Y et al. Nature (2023) |
Reported Trait: Testosterone (female only) | — | — | partial-R2: 0.04 | sex, age, deprivation index, PC1-16 | — |
| PPM017603 | PGS003507 (cont-decay-F_log_testosterone) |
PSS010616| European Ancestry| 2,874 individuals |
PGP000457 | Ding Y et al. Nature (2023) |
Reported Trait: Testosterone (female only) | — | — | partial-R2: 0.04 | sex, age, deprivation index, PC1-16 | — |
| PPM017687 | PGS003507 (cont-decay-F_log_testosterone) |
PSS010532| Greater Middle Eastern Ancestry| 372 individuals |
PGP000457 | Ding Y et al. Nature (2023) |
Reported Trait: Testosterone (female only) | — | — | partial-R2: 0.06 | sex, age, deprivation index, PC1-16 | — |
| PPM017771 | PGS003507 (cont-decay-F_log_testosterone) |
PSS010196| European Ancestry| 943 individuals |
PGP000457 | Ding Y et al. Nature (2023) |
Reported Trait: Testosterone (female only) | — | — | partial-R2: 0.04 | sex, age, deprivation index, PC1-16 | — |
| PPM017855 | PGS003507 (cont-decay-F_log_testosterone) |
PSS010448| South Asian Ancestry| 2,210 individuals |
PGP000457 | Ding Y et al. Nature (2023) |
Reported Trait: Testosterone (female only) | — | — | partial-R2: 0.03 | sex, age, deprivation index, PC1-16 | — |
| PPM017939 | PGS003507 (cont-decay-F_log_testosterone) |
PSS010364| East Asian Ancestry| 1,023 individuals |
PGP000457 | Ding Y et al. Nature (2023) |
Reported Trait: Testosterone (female only) | — | — | partial-R2: 0.02 | sex, age, deprivation index, PC1-16 | — |
| PPM018023 | PGS003507 (cont-decay-F_log_testosterone) |
PSS010280| African Ancestry| 1,233 individuals |
PGP000457 | Ding Y et al. Nature (2023) |
Reported Trait: Testosterone (female only) | — | — | partial-R2: 0.0 | sex, age, deprivation index, PC1-16 | — |
| PPM018107 | PGS003507 (cont-decay-F_log_testosterone) |
PSS010700| African Ancestry| 1,662 individuals |
PGP000457 | Ding Y et al. Nature (2023) |
Reported Trait: Testosterone (female only) | — | — | partial-R2: 0.0 | sex, age, deprivation index, PC1-16 | — |
| PPM017551 | PGS003539 (cont-decay-log_IGF1) |
PSS010820| European Ancestry| 3,924 individuals |
PGP000457 | Ding Y et al. Nature (2023) |
Reported Trait: IGF-1 | — | — | partial-R2: 0.13 | sex, age, deprivation index, PC1-16 | — |
| PPM017467 | PGS003539 (cont-decay-log_IGF1) |
PSS010904| European Ancestry| 19,017 individuals |
PGP000457 | Ding Y et al. Nature (2023) |
Reported Trait: IGF-1 | — | — | partial-R2: 0.16 | sex, age, deprivation index, PC1-16 | — |
| PPM017635 | PGS003539 (cont-decay-log_IGF1) |
PSS010652| European Ancestry| 6,139 individuals |
PGP000457 | Ding Y et al. Nature (2023) |
Reported Trait: IGF-1 | — | — | partial-R2: 0.13 | sex, age, deprivation index, PC1-16 | — |
| PPM017719 | PGS003539 (cont-decay-log_IGF1) |
PSS010568| Greater Middle Eastern Ancestry| 1,089 individuals |
PGP000457 | Ding Y et al. Nature (2023) |
Reported Trait: IGF-1 | — | — | partial-R2: 0.12 | sex, age, deprivation index, PC1-16 | — |
| PPM017803 | PGS003539 (cont-decay-log_IGF1) |
PSS010232| European Ancestry| 2,227 individuals |
PGP000457 | Ding Y et al. Nature (2023) |
Reported Trait: IGF-1 | — | — | partial-R2: 0.17 | sex, age, deprivation index, PC1-16 | — |
| PPM017887 | PGS003539 (cont-decay-log_IGF1) |
PSS010484| South Asian Ancestry| 5,908 individuals |
PGP000457 | Ding Y et al. Nature (2023) |
Reported Trait: IGF-1 | — | — | partial-R2: 0.11 | sex, age, deprivation index, PC1-16 | — |
| PPM017971 | PGS003539 (cont-decay-log_IGF1) |
PSS010400| East Asian Ancestry| 1,699 individuals |
PGP000457 | Ding Y et al. Nature (2023) |
Reported Trait: IGF-1 | — | — | partial-R2: 0.07 | sex, age, deprivation index, PC1-16 | — |
| PPM018055 | PGS003539 (cont-decay-log_IGF1) |
PSS010316| African Ancestry| 2,316 individuals |
PGP000457 | Ding Y et al. Nature (2023) |
Reported Trait: IGF-1 | — | — | partial-R2: 0.03 | sex, age, deprivation index, PC1-16 | — |
| PPM018139 | PGS003539 (cont-decay-log_IGF1) |
PSS010736| African Ancestry| 3,608 individuals |
PGP000457 | Ding Y et al. Nature (2023) |
Reported Trait: IGF-1 | — | — | partial-R2: 0.04 | sex, age, deprivation index, PC1-16 | — |
| PPM017480 | PGS003552 (cont-decay-log_SHBG) |
PSS010918| European Ancestry| 17,359 individuals |
PGP000457 | Ding Y et al. Nature (2023) |
Reported Trait: Sex hormone binding globulin (SHBG) | — | — | partial-R2: 0.18 | sex, age, deprivation index, PC1-16 | — |
| PPM017648 | PGS003552 (cont-decay-log_SHBG) |
PSS010666| European Ancestry| 5,599 individuals |
PGP000457 | Ding Y et al. Nature (2023) |
Reported Trait: Sex hormone binding globulin (SHBG) | — | — | partial-R2: 0.15 | sex, age, deprivation index, PC1-16 | — |
| PPM017732 | PGS003552 (cont-decay-log_SHBG) |
PSS010582| Greater Middle Eastern Ancestry| 996 individuals |
PGP000457 | Ding Y et al. Nature (2023) |
Reported Trait: Sex hormone binding globulin (SHBG) | — | — | partial-R2: 0.13 | sex, age, deprivation index, PC1-16 | — |
| PPM017816 | PGS003552 (cont-decay-log_SHBG) |
PSS010246| European Ancestry| 2,029 individuals |
PGP000457 | Ding Y et al. Nature (2023) |
Reported Trait: Sex hormone binding globulin (SHBG) | — | — | partial-R2: 0.15 | sex, age, deprivation index, PC1-16 | — |
| PPM017900 | PGS003552 (cont-decay-log_SHBG) |
PSS010498| South Asian Ancestry| 5,386 individuals |
PGP000457 | Ding Y et al. Nature (2023) |
Reported Trait: Sex hormone binding globulin (SHBG) | — | — | partial-R2: 0.12 | sex, age, deprivation index, PC1-16 | — |
| PPM017984 | PGS003552 (cont-decay-log_SHBG) |
PSS010414| East Asian Ancestry| 1,538 individuals |
PGP000457 | Ding Y et al. Nature (2023) |
Reported Trait: Sex hormone binding globulin (SHBG) | — | — | partial-R2: 0.12 | sex, age, deprivation index, PC1-16 | — |
| PPM018068 | PGS003552 (cont-decay-log_SHBG) |
PSS010330| African Ancestry| 2,129 individuals |
PGP000457 | Ding Y et al. Nature (2023) |
Reported Trait: Sex hormone binding globulin (SHBG) | — | — | partial-R2: 0.04 | sex, age, deprivation index, PC1-16 | — |
| PPM018152 | PGS003552 (cont-decay-log_SHBG) |
PSS010750| African Ancestry| 3,347 individuals |
PGP000457 | Ding Y et al. Nature (2023) |
Reported Trait: Sex hormone binding globulin (SHBG) | — | — | partial-R2: 0.03 | sex, age, deprivation index, PC1-16 | — |
| PPM017564 | PGS003552 (cont-decay-log_SHBG) |
PSS010834| European Ancestry| 3,551 individuals |
PGP000457 | Ding Y et al. Nature (2023) |
Reported Trait: Sex hormone binding globulin (SHBG) | — | — | partial-R2: 0.14 | sex, age, deprivation index, PC1-16 | — |
| PPM017487 | PGS003559 (cont-decay-M_log_testosterone) |
PSS010926| European Ancestry| 8,753 individuals |
PGP000457 | Ding Y et al. Nature (2023) |
Reported Trait: Testosterone (male only) | — | — | partial-R2: 0.09 | sex, age, deprivation index, PC1-16 | — |
| PPM017571 | PGS003559 (cont-decay-M_log_testosterone) |
PSS010842| European Ancestry| 1,479 individuals |
PGP000457 | Ding Y et al. Nature (2023) |
Reported Trait: Testosterone (male only) | — | — | partial-R2: 0.09 | sex, age, deprivation index, PC1-16 | — |
| PPM017655 | PGS003559 (cont-decay-M_log_testosterone) |
PSS010674| European Ancestry| 2,755 individuals |
PGP000457 | Ding Y et al. Nature (2023) |
Reported Trait: Testosterone (male only) | — | — | partial-R2: 0.08 | sex, age, deprivation index, PC1-16 | — |
| PPM017739 | PGS003559 (cont-decay-M_log_testosterone) |
PSS010590| Greater Middle Eastern Ancestry| 648 individuals |
PGP000457 | Ding Y et al. Nature (2023) |
Reported Trait: Testosterone (male only) | — | — | partial-R2: 0.1 | sex, age, deprivation index, PC1-16 | — |
| PPM017823 | PGS003559 (cont-decay-M_log_testosterone) |
PSS010254| European Ancestry| 1,002 individuals |
PGP000457 | Ding Y et al. Nature (2023) |
Reported Trait: Testosterone (male only) | — | — | partial-R2: 0.1 | sex, age, deprivation index, PC1-16 | — |
| PPM017907 | PGS003559 (cont-decay-M_log_testosterone) |
PSS010506| South Asian Ancestry| 3,208 individuals |
PGP000457 | Ding Y et al. Nature (2023) |
Reported Trait: Testosterone (male only) | — | — | partial-R2: 0.07 | sex, age, deprivation index, PC1-16 | — |
| PPM017991 | PGS003559 (cont-decay-M_log_testosterone) |
PSS010422| East Asian Ancestry| 565 individuals |
PGP000457 | Ding Y et al. Nature (2023) |
Reported Trait: Testosterone (male only) | — | — | partial-R2: 0.07 | sex, age, deprivation index, PC1-16 | — |
| PPM018075 | PGS003559 (cont-decay-M_log_testosterone) |
PSS010338| African Ancestry| 842 individuals |
PGP000457 | Ding Y et al. Nature (2023) |
Reported Trait: Testosterone (male only) | — | — | partial-R2: 0.01 | sex, age, deprivation index, PC1-16 | — |
| PPM018159 | PGS003559 (cont-decay-M_log_testosterone) |
PSS010758| African Ancestry| 1,669 individuals |
PGP000457 | Ding Y et al. Nature (2023) |
Reported Trait: Testosterone (male only) | — | — | partial-R2: 0.02 | sex, age, deprivation index, PC1-16 | — |
| PPM020453 | PGS004338 (X30770.score) |
PSS011364| European Ancestry| 56,192 individuals |
PGP000561 | Jung H et al. Commun Biol (2024) |
Reported Trait: IGF-1 (nmol/L) | — | — | PGS R2 (no covariates): 0.28637 | — | — |
| PPM022760 | PGS005276 (FI_PS_EUR) |
PSS012072| European Ancestry| 13,712 individuals |
PGP000750 | Sarnowski C et al. Commun Biol (2025) |
Reported Trait: Homeostasis Model Assessment for Insulin Resistance [HOMA-IR] | β: 0.237 | — | R²: 0.1076 | age, sex, study, BMI, and the first 11 genetic principal components | Score was standardized |
| PPM022761 | PGS005277 (FI_PS_AFR) |
PSS012073| African Ancestry| 4,695 individuals |
PGP000750 | Sarnowski C et al. Commun Biol (2025) |
Reported Trait: Homeostasis Model Assessment for Insulin Resistance [HOMA-IR] | β: 0.129 | — | R²: 0.0172 | age, sex, study, BMI, and the first 11 genetic principal components | Score was standardized |
| PPM022762 | PGS005278 (FI_PS_AMR) |
PSS012074| Hispanic or Latin American Ancestry| 1,693 individuals |
PGP000750 | Sarnowski C et al. Commun Biol (2025) |
Reported Trait: Homeostasis Model Assessment for Insulin Resistance [HOMA-IR] | β: 0.033 | — | R²: 0.0028 | age, sex, study, BMI, and the first 11 genetic principal components | Score was standardized |
| PPM023434 | PGS005392 (Q-PGS4_r0.2_p5e4) |
PSS012180| Greater Middle Eastern Ancestry| 4,047 individuals |
PGP000777 | Aliyu U et al. Front Endocrinol (Lausanne) (2024) |
Reported Trait: HOMA2-IR | — | — | R²: 0.233 | gender, age, BMI and PC1 to PC10 | — |
|
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 |
|---|---|---|---|---|---|---|---|---|
| PSS012073 | — | — | 4,695 individuals | — | African American or Afro-Caribbean | — | TOPMed | — |
| PSS012074 | — | — | 1,693 individuals | — | Hispanic or Latin American | — | TOPMed | — |
| PSS010652 | — | — | 6,139 individuals, 45.0 % Male samples |
Mean = 54.4 years Sd = 8.4 years |
European | Italian | UKB | — |
| PSS010666 | — | — | 5,599 individuals, 46.0 % Male samples |
Mean = 54.5 years Sd = 8.4 years |
European | Italian | UKB | — |
| PSS010674 | — | — | 2,755 individuals, 100.0 % Male samples |
Mean = 54.8 years Sd = 8.5 years |
European | Italian | UKB | — |
| PSS000709 | — | — | 5,974 individuals | — | African unspecified | — | UKB | — |
| PSS000710 | — | — | 1,074 individuals | — | East Asian | — | UKB | — |
| PSS000711 | — | — | 23,453 individuals | — | European | Non-British White | UKB | — |
| PSS000712 | — | — | 7,283 individuals | — | South Asian | — | UKB | — |
| PSS000713 | — | — | 63,393 individuals | — | European (British) |
— | UKB | — |
| PSS010700 | — | — | 1,662 individuals, 0.0 % Male samples |
Mean = 52.4 years Sd = 8.0 years |
African unspecified | Nigerian | UKB | — |
| PSS010003 | ESTRADIOL LEVEL (LOINC: 2243-4); Quantitative | — | 937 individuals | — | European | — | MGI | — |
| PSS009209 | — | — | 3,935 individuals | — | European | Poland (NE Europe) | UKB | — |
| PSS009210 | — | — | 3,563 individuals | — | European | Poland (NE Europe) | UKB | — |
| PSS010196 | — | — | 943 individuals, 0.0 % Male samples |
Mean = 57.4 years Sd = 7.2 years |
European | Ashkenazi | UKB | — |
| PSS008702 | — | — | 3,123 individuals | — | European | Italy (South Europe) | UKB | — |
| PSS008708 | — | — | 2,641 individuals | — | European | Italy (South Europe) | UKB | — |
| PSS000744 | — | — | 5,523 individuals | — | African unspecified | — | UKB | — |
| PSS000745 | — | — | 979 individuals | — | East Asian | — | UKB | — |
| PSS000746 | — | — | 21,313 individuals | — | European | Non-British White | UKB | — |
| PSS000747 | — | — | 6,638 individuals | — | South Asian | — | UKB | — |
| PSS000748 | — | — | 57,677 individuals | — | European (British) |
— | UKB | — |
| PSS000421 | Blood testosterone levels (UKB field 30850). Individuals taking the following testosterone-related drugs (methyltestosterone, finasteride, dutasteride, testosterone, mesterolone, and cyproterone) were excluded. | — | 28,640 individuals, 0.0 % Male samples |
— | European | — | UKB | — |
| PSS000422 | Blood testosterone levels (UKB field 30850). Individuals taking the following testosterone-related drugs (methyltestosterone, finasteride, dutasteride, testosterone, mesterolone, and cyproterone) were excluded. | — | 28,601 individuals, 100.0 % Male samples |
— | European | — | UKB | — |
| PSS000757 | — | — | 5,453 individuals | — | African unspecified | — | UKB | — |
| PSS000758 | — | — | 1,008 individuals | — | East Asian | — | UKB | — |
| PSS000759 | — | — | 21,344 individuals | — | European | Non-British White | UKB | — |
| PSS000760 | — | — | 6,680 individuals | — | South Asian | — | UKB | — |
| PSS000761 | — | — | 57,774 individuals | — | European (British) |
— | UKB | — |
| PSS010736 | — | — | 3,608 individuals, 46.0 % Male samples |
Mean = 51.9 years Sd = 8.1 years |
African unspecified | Nigerian | UKB | — |
| PSS003731 | — | — | [
|
— | African unspecified | — | UKB | — |
| PSS003732 | — | — | [
|
— | East Asian | — | UKB | — |
| PSS003733 | — | — | [
|
— | European | non-white British ancestry | UKB | — |
| PSS003734 | — | — | [
|
— | South Asian | — | UKB | — |
| PSS003735 | — | — | [
|
— | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS010232 | — | — | 2,227 individuals, 45.0 % Male samples |
Mean = 58.1 years Sd = 7.0 years |
European | Ashkenazi | UKB | — |
| PSS010750 | — | — | 3,347 individuals, 47.0 % Male samples |
Mean = 51.9 years Sd = 8.1 years |
African unspecified | Nigerian | UKB | — |
| PSS010246 | — | — | 2,029 individuals, 46.0 % Male samples |
Mean = 58.1 years Sd = 7.0 years |
European | Ashkenazi | UKB | — |
| PSS010758 | — | — | 1,669 individuals, 100.0 % Male samples |
Mean = 51.4 years Sd = 8.2 years |
African unspecified | Nigerian | UKB | — |
| PSS010254 | — | — | 1,002 individuals, 100.0 % Male samples |
Mean = 58.4 years Sd = 7.1 years |
European | Ashkenazi | UKB | — |
| PSS008763 | — | — | 6,290 individuals | — | European | Italy (South Europe) | UKB | — |
| PSS008764 | — | — | 5,738 individuals | — | European | Italy (South Europe) | UKB | — |
| PSS008254 | — | — | 2,976 individuals | — | South Asian | India (South Asia) | UKB | — |
| PSS008260 | — | — | 2,486 individuals | — | South Asian | India (South Asia) | UKB | — |
| PSS010784 | — | — | 2,096 individuals, 0.0 % Male samples |
Mean = 54.1 years Sd = 7.7 years |
European | Polish | UKB | — |
| PSS010280 | — | — | 1,233 individuals, 0.0 % Male samples |
Mean = 52.1 years Sd = 7.9 years |
African American or Afro-Caribbean | Caribbean | UKB | — |
| PSS000830 | — | — | 2,129 individuals | — | European | Participants self-identifying as white | MESA | — |
| PSS000831 | — | — | 2,129 individuals | — | European | Participants self-identifying as white | MESA | — |
| PSS010820 | — | — | 3,924 individuals, 38.0 % Male samples |
Mean = 54.4 years Sd = 7.5 years |
European | Polish | UKB | — |
| PSS010316 | — | — | 2,316 individuals, 37.0 % Male samples |
Mean = 52.5 years Sd = 8.1 years |
African American or Afro-Caribbean | Caribbean | UKB | — |
| PSS011301 | — | — | [
|
— | South Asian (Indian) |
— | WellGen | — |
| PSS011302 | — | — | [
|
— | South Asian (Indian) |
— | WellGen | — |
| PSS011303 | — | — | [
|
— | South Asian (Indian) |
— | WellGen | — |
| PSS010834 | — | — | 3,551 individuals, 39.0 % Male samples |
Mean = 54.4 years Sd = 7.5 years |
European | Polish | UKB | — |
| PSS008315 | — | — | 5,961 individuals | — | South Asian | India (South Asia) | UKB | — |
| PSS008316 | — | — | 5,437 individuals | — | South Asian | India (South Asia) | UKB | — |
| PSS010330 | — | — | 2,129 individuals, 37.0 % Male samples |
Mean = 52.5 years Sd = 8.1 years |
African American or Afro-Caribbean | Caribbean | UKB | — |
| PSS010842 | — | — | 1,479 individuals, 100.0 % Male samples |
Mean = 54.2 years Sd = 7.4 years |
European | Polish | UKB | — |
| PSS010338 | — | — | 842 individuals, 100.0 % Male samples |
Mean = 52.8 years Sd = 8.4 years |
African American or Afro-Caribbean | Caribbean | UKB | — |
| PSS007818 | — | — | 1,112 individuals | — | African American or Afro-Caribbean | Carribean | UKB | — |
| PSS007824 | — | — | 973 individuals | — | African American or Afro-Caribbean | Carribean | UKB | — |
| PSS010868 | — | — | 8,475 individuals, 0.0 % Male samples |
Mean = 56.2 years Sd = 7.9 years |
European | white British | UKB | — |
| PSS009374 | — | — | 9,296 individuals | — | European | UK (+ Ireland) | UKB | — |
| PSS010364 | — | — | 1,023 individuals, 0.0 % Male samples |
Mean = 52.1 years Sd = 7.5 years |
East Asian | Chinese | UKB | — |
| PSS009380 | — | — | 7,947 individuals | — | European | UK (+ Ireland) | UKB | — |
| PSS010904 | — | — | 19,017 individuals, 46.0 % Male samples |
Mean = 56.9 years Sd = 7.9 years |
European | white British | UKB | — |
| PSS010400 | — | — | 1,699 individuals, 33.0 % Male samples |
Mean = 52.4 years Sd = 7.8 years |
East Asian | Chinese | UKB | — |
| PSS007879 | — | — | 2,328 individuals | — | African American or Afro-Caribbean | Carribean | UKB | — |
| PSS007880 | — | — | 2,140 individuals | — | African American or Afro-Caribbean | Carribean | UKB | — |
| PSS010918 | — | — | 17,359 individuals, 47.0 % Male samples |
Mean = 56.9 years Sd = 7.9 years |
European | white British | UKB | — |
| PSS010414 | — | — | 1,538 individuals, 33.0 % Male samples |
Mean = 52.5 years Sd = 7.8 years |
East Asian | Chinese | UKB | — |
| PSS010926 | — | — | 8,753 individuals, 100.0 % Male samples |
Mean = 57.1 years Sd = 8.0 years |
European | white British | UKB | — |
| PSS008922 | — | — | 1,808 individuals | — | African unspecified | Nigeria (West Africa) | UKB | — |
| PSS009435 | — | — | 18,901 individuals | — | European | UK (+ Ireland) | UKB | — |
| PSS009436 | — | — | 17,266 individuals | — | European | UK (+ Ireland) | UKB | — |
| PSS010422 | — | — | 565 individuals, 100.0 % Male samples |
Mean = 52.3 years Sd = 8.2 years |
East Asian | Chinese | UKB | — |
| PSS008928 | — | — | 1,551 individuals | — | African unspecified | Nigeria (West Africa) | UKB | — |
| PSS010448 | — | — | 2,210 individuals, 0.0 % Male samples |
Mean = 52.4 years Sd = 8.1 years |
South Asian | Indian | UKB | — |
| PSS012020 | mean age-specific serum concentrations, i.e., SDS, of reproductive hormone concentrations based on the respective reference curves | — | 233 individuals, 100.0 % Male samples |
— | European | — | NR | — |
| PSS008983 | — | — | 3,637 individuals | — | African unspecified | Nigeria (West Africa) | UKB | — |
| PSS008984 | — | — | 3,374 individuals | — | African unspecified | Nigeria (West Africa) | UKB | — |
| PSS010484 | — | — | 5,908 individuals, 54.0 % Male samples |
Mean = 53.3 years Sd = 8.4 years |
South Asian | Indian | UKB | — |
| PSS008476 | — | — | 562 individuals | — | Greater Middle Eastern (Middle Eastern, North African or Persian) | Iran (Middle East) | UKB | — |
| PSS011364 | — | — | 56,192 individuals | — | European | — | UKB | — |
| PSS008482 | — | — | 485 individuals | — | Greater Middle Eastern (Middle Eastern, North African or Persian) | Iran (Middle East) | UKB | — |
| PSS010498 | — | — | 5,386 individuals, 55.0 % Male samples |
Mean = 53.2 years Sd = 8.4 years |
South Asian | Indian | UKB | — |
| PSS010506 | — | — | 3,208 individuals, 100.0 % Male samples |
Mean = 53.6 years Sd = 8.7 years |
South Asian | Indian | UKB | — |
| PSS010532 | — | — | 372 individuals, 0.0 % Male samples |
Mean = 51.2 years Sd = 7.7 years |
Greater Middle Eastern (Middle Eastern, North African or Persian) | Iranian | UKB | — |
| PSS012180 | — | — | 4,047 individuals, 42.5 % Male samples |
Mean = 37.8 years Sd = 12.1 years |
Greater Middle Eastern (Middle Eastern, North African or Persian) (Qatari) |
— | QBB | — |
| PSS008537 | — | — | 1,118 individuals | — | Greater Middle Eastern (Middle Eastern, North African or Persian) | Iran (Middle East) | UKB | — |
| PSS008538 | — | — | 1,025 individuals | — | Greater Middle Eastern (Middle Eastern, North African or Persian) | Iran (Middle East) | UKB | — |
| PSS008032 | — | — | 855 individuals | — | East Asian | China (East Asia) | UKB | — |
| PSS008038 | — | — | 742 individuals | — | East Asian | China (East Asia) | UKB | — |
| PSS010568 | — | — | 1,089 individuals, 60.0 % Male samples |
Mean = 51.9 years Sd = 7.9 years |
Greater Middle Eastern (Middle Eastern, North African or Persian) | Iranian | UKB | — |
| 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 | — |
| PSS010185 | — | — | 1,115 individuals, 41.1 % Male samples |
Mean = 46.18 years | Hispanic or Latin American | — | HCHS-SOL | — |
| PSS001084 | Moderate Age-Related Diabetes (MARD) vs. controls | — | [
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— | European | Swedish | ANDIS | — |
| PSS001085 | Moderate Obesity-related Diabetes (MOD) vs. controls | — | [
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— | European | Swedish | ANDIS | — |
| PSS001086 | Severe Autoimmune Diabetes (SAID) vs. controls | — | [
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— | European | Swedish | ANDIS | — |
| PSS001087 | Severe Insulin-Deficient Diabetes (SIDD) vs. controls | — | [
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— | European | Swedish | ANDIS | — |
| PSS001088 | Severe Insulin-Resistant Diabetes (SIRD) vs. controls | — | [
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— | European | Swedish | ANDIS | — |
| PSS010582 | — | — | 996 individuals, 60.0 % Male samples |
Mean = 51.9 years Sd = 7.9 years |
Greater Middle Eastern (Middle Eastern, North African or Persian) | Iranian | UKB | — |
| PSS010590 | — | — | 648 individuals, 100.0 % Male samples |
Mean = 51.8 years Sd = 8.0 years |
Greater Middle Eastern (Middle Eastern, North African or Persian) | Iranian | UKB | — |
| PSS007166 | — | — | 6,058 individuals | — | African unspecified | — | UKB | — |
| PSS007167 | — | — | 1,609 individuals | — | East Asian | — | UKB | — |
| PSS007168 | — | — | 23,653 individuals | — | European | non-white British ancestry | UKB | — |
| PSS007169 | — | — | 7,373 individuals | — | South Asian | — | UKB | — |
| PSS007170 | — | — | 64,106 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS007186 | — | — | 5,606 individuals | — | African unspecified | — | UKB | — |
| PSS007187 | — | — | 1,463 individuals | — | East Asian | — | UKB | — |
| PSS008092 | — | — | 1,710 individuals | — | East Asian | China (East Asia) | UKB | — |
| PSS008093 | — | — | 1,548 individuals | — | East Asian | China (East Asia) | UKB | — |
| PSS007188 | — | — | 21,531 individuals | — | European | non-white British ancestry | UKB | — |
| PSS007189 | — | — | 6,736 individuals | — | South Asian | — | UKB | — |
| PSS007190 | — | — | 58,525 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS010616 | — | — | 2,874 individuals, 0.0 % Male samples |
Mean = 53.8 years Sd = 8.3 years |
European | Italian | UKB | — |
| PSS007196 | — | — | 5,534 individuals | — | African unspecified | — | UKB | — |
| PSS007197 | — | — | 1,506 individuals | — | East Asian | — | UKB | — |
| PSS007198 | — | — | 21,549 individuals | — | European | non-white British ancestry | UKB | — |
| PSS007199 | — | — | 6,754 individuals | — | South Asian | — | UKB | — |
| PSS007200 | — | — | 58,509 individuals | — | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS003617 | — | — | [
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— | African unspecified | — | UKB | — |
| PSS003618 | — | — | [
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— | East Asian | — | UKB | — |
| PSS003619 | — | — | [
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— | European | non-white British ancestry | UKB | — |
| PSS003620 | — | — | [
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— | South Asian | — | UKB | — |
| PSS003621 | — | — | [
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— | European | white British ancestry | UKB | Testing cohort (heldout set) |
| PSS009148 | — | — | 1,918 individuals | — | European | Poland (NE Europe) | UKB | — |
| PSS009154 | — | — | 1,666 individuals | — | European | Poland (NE Europe) | UKB | — |
| PSS012072 | — | — | 13,712 individuals | — | European | — | TOPMed | — |