PGS Publication: PGP000393

Publication Information (EuropePMC)
Title ExPRSweb: An online repository with polygenic risk scores for common health-related exposures.
PubMed ID 36152628(Europe PMC)
doi 10.1016/j.ajhg.2022.09.001
Publication Date Sept. 23, 2022
Journal Am J Hum Genet
Author(s) Ma Y, Patil S, Zhou X, Mukherjee B, Fritsche LG.
Released in PGS Catalog: Nov. 23, 2022

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

PGS Developed By This Publication

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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)
PGS002815
(ExPRSweb_AgeAtMenarche_ieu-a-1095_LASSOSUM_UKB_20211120)
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Age at menarcheage at menarche137,734
G
D
E
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002815/ScoringFiles/PGS002815.txt.gz
PGS002816
(ExPRSweb_AgeAtMenarche_ieu-a-1095_PT_UKB_20211120)
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Age at menarcheage at menarche13,852
G
D
E
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002816/ScoringFiles/PGS002816.txt.gz
PGS002817
(ExPRSweb_AgeAtMenarche_ieu-a-1095_PLINK_UKB_20211120)
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Age at menarcheage at menarche13,852
G
D
E
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002817/ScoringFiles/PGS002817.txt.gz
PGS002818
(ExPRSweb_AgeAtMenarche_ieu-a-1095_DBSLMM_UKB_20211120)
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Age at menarcheage at menarche991,712
G
D
E
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002818/ScoringFiles/PGS002818.txt.gz
PGS002819
(ExPRSweb_AgeAtMenarche_ieu-a-1095_PRSCS_UKB_20211120)
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Age at menarcheage at menarche895,562
G
D
E
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002819/ScoringFiles/PGS002819.txt.gz
PGS002820
(ExPRSweb_AgeAtMenopause_ieu-a-1004_LASSOSUM_UKB_20211120)
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Age at menopauseage at menopause99,745
G
D
E
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002820/ScoringFiles/PGS002820.txt.gz
PGS002821
(ExPRSweb_AgeAtMenopause_ieu-a-1004_PT_UKB_20211120)
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Age at menopauseage at menopause159
G
D
E
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002821/ScoringFiles/PGS002821.txt.gz
PGS002822
(ExPRSweb_AgeAtMenopause_ieu-a-1004_PLINK_UKB_20211120)
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Age at menopauseage at menopause159
G
D
E
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002822/ScoringFiles/PGS002822.txt.gz
PGS002823
(ExPRSweb_AgeAtMenopause_ieu-a-1004_DBSLMM_UKB_20211120)
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Age at menopauseage at menopause1,379,304
G
D
E
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002823/ScoringFiles/PGS002823.txt.gz
PGS002824
(ExPRSweb_AgeAtMenopause_ieu-a-1004_PRSCS_UKB_20211120)
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Age at menopauseage at menopause894,484
G
D
E
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002824/ScoringFiles/PGS002824.txt.gz
PGS002825
(ExPRSweb_Alcohol_20403_LASSOSUM_MGI_20211120)
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Alcohol consumptionalcohol consumption quality375,749
G
D
E
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002825/ScoringFiles/PGS002825.txt.gz
PGS002826
(ExPRSweb_Alcohol_20403_PT_MGI_20211120)
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Alcohol consumptionalcohol consumption quality19
G
D
E
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002826/ScoringFiles/PGS002826.txt.gz
PGS002827
(ExPRSweb_Alcohol_20403_PLINK_MGI_20211120)
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Alcohol consumptionalcohol consumption quality25
G
D
E
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002827/ScoringFiles/PGS002827.txt.gz
PGS002828
(ExPRSweb_Alcohol_20403_DBSLMM_MGI_20211120)
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Alcohol consumptionalcohol consumption quality5,498,032
G
D
E
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002828/ScoringFiles/PGS002828.txt.gz
PGS002829
(ExPRSweb_Alcohol_20403_PRSCS_MGI_20211120)
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Alcohol consumptionalcohol consumption quality1,113,829
G
D
E
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002829/ScoringFiles/PGS002829.txt.gz
PGS002830
(ExPRSweb_Alcohol_DrinksPerWeek_LASSOSUM_MGI_20211120)
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Alcohol consumptionalcohol consumption quality524,093
G
D
E
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002830/ScoringFiles/PGS002830.txt.gz
PGS002831
(ExPRSweb_Alcohol_DrinksPerWeek_PT_MGI_20211120)
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Alcohol consumptionalcohol consumption quality12,650
G
D
E
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002831/ScoringFiles/PGS002831.txt.gz
PGS002832
(ExPRSweb_Alcohol_DrinksPerWeek_PLINK_MGI_20211120)
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Alcohol consumptionalcohol consumption quality27,085
G
D
E
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002832/ScoringFiles/PGS002832.txt.gz
PGS002833
(ExPRSweb_Alcohol_DrinksPerWeek_DBSLMM_MGI_20211120)
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Alcohol consumptionalcohol consumption quality232
G
D
E
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002833/ScoringFiles/PGS002833.txt.gz
PGS002834
(ExPRSweb_Alcohol_DrinksPerWeek_PRSCS_MGI_20211120)
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Alcohol consumptionalcohol consumption quality1,116,497
G
D
E
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002834/ScoringFiles/PGS002834.txt.gz
PGS002835
(ExPRSweb_Alcohol_DrinksPerWeek_LASSOSUM_UKB_20211120)
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Alcohol consumptionalcohol consumption quality524,875
G
D
E
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002835/ScoringFiles/PGS002835.txt.gz
PGS002836
(ExPRSweb_Alcohol_DrinksPerWeek_PT_UKB_20211120)
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Alcohol consumptionalcohol consumption quality10,706
G
D
E
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002836/ScoringFiles/PGS002836.txt.gz
PGS002837
(ExPRSweb_Alcohol_DrinksPerWeek_PLINK_UKB_20211120)
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Alcohol consumptionalcohol consumption quality22,675
G
D
E
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002837/ScoringFiles/PGS002837.txt.gz
PGS002838
(ExPRSweb_Alcohol_DrinksPerWeek_DBSLMM_UKB_20211120)
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Alcohol consumptionalcohol consumption quality137
G
D
E
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002838/ScoringFiles/PGS002838.txt.gz
PGS002839
(ExPRSweb_Alcohol_DrinksPerWeek_PRSCS_UKB_20211120)
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Alcohol consumptionalcohol consumption quality1,117,376
G
D
E
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002839/ScoringFiles/PGS002839.txt.gz
PGS002840
(ExPRSweb_BMI_21001-irnt_LASSOSUM_MGI_20211120)
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Body mass index (BMI)body mass index1,062,550
G
D
E
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002840/ScoringFiles/PGS002840.txt.gz
PGS002841
(ExPRSweb_BMI_21001-irnt_PT_MGI_20211120)
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Body mass index (BMI)body mass index32,980
G
D
E
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002841/ScoringFiles/PGS002841.txt.gz
PGS002842
(ExPRSweb_BMI_21001-irnt_PLINK_MGI_20211120)
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Body mass index (BMI)body mass index51,983
G
D
E
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002842/ScoringFiles/PGS002842.txt.gz
PGS002843
(ExPRSweb_BMI_21001-irnt_DBSLMM_MGI_20211120)
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Body mass index (BMI)body mass index7,444,639
G
D
E
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002843/ScoringFiles/PGS002843.txt.gz
PGS002844
(ExPRSweb_BMI_21001-irnt_PRSCS_MGI_20211120)
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Body mass index (BMI)body mass index1,113,832
G
D
E
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002844/ScoringFiles/PGS002844.txt.gz
PGS002845
(ExPRSweb_BMI_21001-raw_LASSOSUM_MGI_20211120)
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Body mass index (BMI)body mass index1,052,511
G
D
E
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002845/ScoringFiles/PGS002845.txt.gz
PGS002846
(ExPRSweb_BMI_21001-raw_PT_MGI_20211120)
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Body mass index (BMI)body mass index32,526
G
D
E
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002846/ScoringFiles/PGS002846.txt.gz
PGS002847
(ExPRSweb_BMI_21001-raw_PLINK_MGI_20211120)
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Body mass index (BMI)body mass index51,370
G
D
E
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002847/ScoringFiles/PGS002847.txt.gz
PGS002848
(ExPRSweb_BMI_21001-raw_DBSLMM_MGI_20211120)
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Body mass index (BMI)body mass index7,444,629
G
D
E
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002848/ScoringFiles/PGS002848.txt.gz
PGS002849
(ExPRSweb_BMI_21001-raw_PRSCS_MGI_20211120)
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Body mass index (BMI)body mass index1,113,832
G
D
E
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002849/ScoringFiles/PGS002849.txt.gz
PGS002850
(ExPRSweb_BMI_23104-irnt_LASSOSUM_MGI_20211120)
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Body mass index (BMI)body mass index1,053,861
G
D
E
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002850/ScoringFiles/PGS002850.txt.gz
PGS002851
(ExPRSweb_BMI_23104-irnt_PT_MGI_20211120)
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Body mass index (BMI)body mass index32,697
G
D
E
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002851/ScoringFiles/PGS002851.txt.gz
PGS002852
(ExPRSweb_BMI_23104-irnt_PLINK_MGI_20211120)
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Body mass index (BMI)body mass index51,563
G
D
E
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002852/ScoringFiles/PGS002852.txt.gz
PGS002853
(ExPRSweb_BMI_23104-irnt_DBSLMM_MGI_20211120)
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Body mass index (BMI)body mass index7,446,664
G
D
E
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002853/ScoringFiles/PGS002853.txt.gz
PGS002854
(ExPRSweb_BMI_23104-irnt_PRSCS_MGI_20211120)
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Body mass index (BMI)body mass index1,113,832
G
D
E
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002854/ScoringFiles/PGS002854.txt.gz
PGS002855
(ExPRSweb_BMI_23104-raw_LASSOSUM_MGI_20211120)
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Body mass index (BMI)body mass index1,044,654
G
D
E
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002855/ScoringFiles/PGS002855.txt.gz
PGS002856
(ExPRSweb_BMI_23104-raw_PT_MGI_20211120)
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Body mass index (BMI)body mass index28,689
G
D
E
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002856/ScoringFiles/PGS002856.txt.gz
PGS002857
(ExPRSweb_BMI_23104-raw_PLINK_MGI_20211120)
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Body mass index (BMI)body mass index44,240
G
D
E
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002857/ScoringFiles/PGS002857.txt.gz
PGS002858
(ExPRSweb_BMI_23104-raw_DBSLMM_MGI_20211120)
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Body mass index (BMI)body mass index7,446,652
G
D
E
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002858/ScoringFiles/PGS002858.txt.gz
PGS002859
(ExPRSweb_BMI_23104-raw_PRSCS_MGI_20211120)
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Body mass index (BMI)body mass index1,113,832
G
D
E
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002859/ScoringFiles/PGS002859.txt.gz
PGS002860
(ExPRSweb_CRP_28887542-GCST004941_LASSOSUM_MGI_20211120)
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
C-reactive proteinC-reactive protein measurement579,046
G
D
E
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002860/ScoringFiles/PGS002860.txt.gz
PGS002861
(ExPRSweb_CRP_28887542-GCST004941_PT_MGI_20211120)
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
C-reactive proteinC-reactive protein measurement414,578
G
D
E
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002861/ScoringFiles/PGS002861.txt.gz
PGS002862
(ExPRSweb_CRP_28887542-GCST004941_PLINK_MGI_20211120)
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
C-reactive proteinC-reactive protein measurement407,315
G
D
E
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002862/ScoringFiles/PGS002862.txt.gz
PGS002863
(ExPRSweb_CRP_28887542-GCST004941_PRSCS_MGI_20211120)
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
C-reactive proteinC-reactive protein measurement1,118,117
G
D
E
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002863/ScoringFiles/PGS002863.txt.gz
PGS002864
(ExPRSweb_CRP_30710-irnt_LASSOSUM_MGI_20211120)
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
C-reactive proteinC-reactive protein measurement763,400
G
D
E
 https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002864/ScoringFiles/PGS002864.txt.gz
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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.

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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
PPM015603PGS002818
(ExPRSweb_AgeAtMenarche_ieu-a-1095_DBSLMM_UKB_20211120)
PSS010021|
European Ancestry|
110,333 individuals
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Reported Trait: Age at Menarcheβ: 0.159 (0.00835)—R²: 0.00332Sex,birthYear,genotyping.array,PC1,PC2,PC3,PC4—
PPM015604PGS002815
(ExPRSweb_AgeAtMenarche_ieu-a-1095_LASSOSUM_UKB_20211120)
PSS010021|
European Ancestry|
110,333 individuals
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Reported Trait: Age at Menarcheβ: 0.265 (0.0083)—R²: 0.00922Sex,birthYear,genotyping.array,PC1,PC2,PC3,PC4—
PPM015605PGS002817
(ExPRSweb_AgeAtMenarche_ieu-a-1095_PLINK_UKB_20211120)
PSS010021|
European Ancestry|
110,333 individuals
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Reported Trait: Age at Menarcheβ: 0.3 (0.00831)—R²: 0.0118Sex,birthYear,genotyping.array,PC1,PC2,PC3,PC4—
PPM015606PGS002819
(ExPRSweb_AgeAtMenarche_ieu-a-1095_PRSCS_UKB_20211120)
PSS010021|
European Ancestry|
110,333 individuals
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Reported Trait: Age at Menarcheβ: 0.298 (0.00831)—R²: 0.0117Sex,birthYear,genotyping.array,PC1,PC2,PC3,PC4—
PPM015607PGS002816
(ExPRSweb_AgeAtMenarche_ieu-a-1095_PT_UKB_20211120)
PSS010021|
European Ancestry|
110,333 individuals
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Reported Trait: Age at Menarcheβ: 0.3 (0.00831)—R²: 0.0118Sex,birthYear,genotyping.array,PC1,PC2,PC3,PC4—
PPM015608PGS002823
(ExPRSweb_AgeAtMenopause_ieu-a-1004_DBSLMM_UKB_20211120)
PSS010022|
European Ancestry|
69,801 individuals
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Reported Trait: Age at Menopauseβ: 0.387 (0.0506)—R²: 0.00071Sex,birthYear,genotyping.array,PC1,PC2,PC3,PC4—
PPM015609PGS002820
(ExPRSweb_AgeAtMenopause_ieu-a-1004_LASSOSUM_UKB_20211120)
PSS010022|
European Ancestry|
69,801 individuals
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Reported Trait: Age at Menopauseβ: 0.492 (0.0508)—R²: 0.00118Sex,birthYear,genotyping.array,PC1,PC2,PC3,PC4—
PPM015610PGS002822
(ExPRSweb_AgeAtMenopause_ieu-a-1004_PLINK_UKB_20211120)
PSS010022|
European Ancestry|
69,801 individuals
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Reported Trait: Age at Menopauseβ: 0.809 (0.0507)—R²: 0.00316Sex,birthYear,genotyping.array,PC1,PC2,PC3,PC4—
PPM015611PGS002824
(ExPRSweb_AgeAtMenopause_ieu-a-1004_PRSCS_UKB_20211120)
PSS010022|
European Ancestry|
69,801 individuals
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Reported Trait: Age at Menopauseβ: 0.519 (0.0507)—R²: 0.00129Sex,birthYear,genotyping.array,PC1,PC2,PC3,PC4—
PPM015612PGS002821
(ExPRSweb_AgeAtMenopause_ieu-a-1004_PT_UKB_20211120)
PSS010022|
European Ancestry|
69,801 individuals
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Reported Trait: Age at Menopauseβ: 0.809 (0.0507)—R²: 0.00316Sex,birthYear,genotyping.array,PC1,PC2,PC3,PC4—
PPM015613PGS002828
(ExPRSweb_Alcohol_20403_DBSLMM_MGI_20211120)
PSS009996|
European Ancestry|
13,334 individuals
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Reported Trait: Alcohol consumptionβ: 0.036 (0.0144)—R²: 0.00039SEX,AGE,Batch,PC1,PC2,PC3,PC4—
PPM015614PGS002825
(ExPRSweb_Alcohol_20403_LASSOSUM_MGI_20211120)
PSS009996|
European Ancestry|
13,334 individuals
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Reported Trait: Alcohol consumptionβ: 0.0419 (0.0148)—R²: 0.00065SEX,AGE,Batch,PC1,PC2,PC3,PC4—
PPM015615PGS002827
(ExPRSweb_Alcohol_20403_PLINK_MGI_20211120)
PSS009996|
European Ancestry|
13,334 individuals
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Reported Trait: Alcohol consumptionβ: 0.0314 (0.0146)—R²: 0.00039SEX,AGE,Batch,PC1,PC2,PC3,PC4—
PPM015616PGS002829
(ExPRSweb_Alcohol_20403_PRSCS_MGI_20211120)
PSS009996|
European Ancestry|
13,334 individuals
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Reported Trait: Alcohol consumptionβ: 0.0213 (0.0146)—R²: 0.00017SEX,AGE,Batch,PC1,PC2,PC3,PC4—
PPM015617PGS002826
(ExPRSweb_Alcohol_20403_PT_MGI_20211120)
PSS009996|
European Ancestry|
13,334 individuals
PGP000393 |
Ma Y et al. Am J Hum Genet (2022)
Reported Trait: Alcohol consumptionβ: 0.0688 (0.0149)—R²: 0.00177SEX,AGE,Batch,PC1,PC2,PC3,PC4—
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Evaluated Samples

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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
PSS009996Alcohol Oz Per Week; Quantitative—13,334 individuals—European—MGI—
PSS009997body mass (kg) divided by the square of the body height (m); Quantitative—23,382 individuals—European—MGI—
PSS009998C-REACTIVE PROTEIN SCREEN (LOINC: 1988-5); Quantitative—5,147 individuals—European—MGI—
PSS009999CREATININE LEVEL (LOINC: 2160-0); Quantitative—20,396 individuals—European—MGI—
PSS010000——213 individuals—Not reported—MGI—
PSS010001Diastolic Blood Pressure; Quantitative—23,074 individuals—European—MGI—
PSS010002never/past/current alcohol use was recoded to never/ever responses.; Binary—
[
  • 15,343 cases
  • , 7,082 controls
]
—European—MGI—
PSS010003ESTRADIOL LEVEL (LOINC: 2243-4); Quantitative—937 individuals—European—MGI—
PSS010004GLUCOSE, FASTING; Quantitative—286 individuals—European—MGI—
PSS010005GLUCOSE LEVEL (LOINC: 2345-7); Quantitative—20,401 individuals—European—MGI—
PSS010006HIGH DENSITY LIPOPROTEIN CHOL (LOINC: 2085-9); Quantitative—9,320 individuals—European—MGI—
PSS010007body height (cm); Quantitative—23,349 individuals—European—MGI—
PSS010008PheCode 401.1 (http://phewascatalog.org/); Binary—
[
  • 11,612 cases
  • , 11,704 controls
]
—European—MGI—
PSS010009PheCode 327.4 (http://phewascatalog.org/); Binary—
[
  • 2,830 cases
  • , 15,811 controls
]
—European—MGI—
PSS010010LOW DENSITY LIPOPROTEIN CHOL (LOINC: 13457-7); Quantitative—9,288 individuals—European—MGI—
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