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PGS Sample Set (PSS)
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9
9
Polygenic Score (PGS) ID
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9
2.77k
Number of Individuals
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1
5.33M
Number of Cases
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0
389k
Number of Controls
float64
0
1.14M
Percent of Participants Who are Male
float64
0
100
Sample Age
large_stringclasses
733 values
Broad Ancestry Category
large_stringclasses
73 values
Ancestry (e.g. French, Chinese)
large_stringclasses
90 values
Country of Recruitment
large_stringclasses
140 values
Additional Ancestry Description
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131 values
Phenotype Definitions and Methods
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798 values
Followup Time
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141 values
GWAS Catalog Study ID (GCST...)
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8 values
Source PubMed ID (PMID)
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1.25M
39.9M
Source DOI
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13 values
Cohort(s)
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460 values
Additional Sample/Cohort Information
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245 values
PSS000001
PGS000001
67,054
33,673
33,381
null
null
European
null
Australia, Belarus, Belgium, Canada, Denmark, Finland, France, Germany, Greece, Ireland, Netherlands, Norway, Poland, Sweden, UK, USA
null
All breast cancer
null
null
null
null
ABCFS|MCCS|HMBCS|LMBC|MTLGEBCS|CGPS|KBCP|OBCS|CECILE|BBCC|BSUCH|ESTHER|GENICA|MARIE|SKKDKFZS|DEMOKRITOS|BIGGS|ABCS|ORIGO|NorBCS|SZBCS|PBCS|pKARMA|SASBAC|SBCS|SEARCH|MCBCS|UKBGS|NBHS|CTS|MEC|RPCI|OSU
iCOGS
PSS000002
PGS000003
38,722
5,738
32,984
null
null
European
null
Australia, Belarus, Belgium, Canada, Denmark, Finland, France, Germany, Greece, Ireland, Netherlands, Norway, Poland, Sweden, UK, USA
null
ER-negative breast cancer
null
null
null
null
ABCFS|MCCS|HMBCS|LMBC|MTLGEBCS|CGPS|KBCP|OBCS|CECILE|BBCC|BSUCH|ESTHER|GENICA|MARIE|SKKDKFZS|DEMOKRITOS|BIGGS|ABCS|ORIGO|NorBCS|SZBCS|PBCS|pKARMA|SASBAC|SBCS|SEARCH|MCBCS|UKBGS|NBHS|CTS|MEC|RPCI|OSU
iCOGS
PSS000003
PGS000002
53,923
21,365
32,558
null
null
European
null
Australia, Belarus, Belgium, Canada, Denmark, Finland, France, Germany, Greece, Ireland, Netherlands, Norway, Poland, Sweden, UK, USA
null
ER-positive breast cancer
null
null
null
null
ABCFS|MCCS|HMBCS|LMBC|MTLGEBCS|CGPS|KBCP|OBCS|CECILE|BBCC|BSUCH|ESTHER|GENICA|MARIE|SKKDKFZS|DEMOKRITOS|BIGGS|ABCS|ORIGO|NorBCS|SZBCS|PBCS|pKARMA|SASBAC|SBCS|SEARCH|MCBCS|UKBGS|NBHS|CTS|MEC|RPCI|OSU
iCOGS
PSS000004
PGS000001, PGS000004, PGS000007
29,751
11,428
18,323
0
null
European
null
Denmark, France, Germany, Greece, Italy, Norway, Spain, Sweden, The Netherlands, UK, USA
null
Invasive breast cancer-affected
null
null
null
null
AHS|BGS|EPIC|FHRISK|NHS|NHS2|PLCO|PROCAS|KARMA|SISTER
Prospective Test Set
PSS000005
PGS000002, PGS000005, PGS000008
11,428
7,992
3,436
0
null
European
null
Denmark, France, Germany, Greece, Italy, Norway, Spain, Sweden, The Netherlands, UK, USA
null
ER-positive breast cancer cases
null
null
null
null
AHS|BGS|EPIC|FHRISK|NHS|NHS2|PLCO|PROCAS|SISTER|KARMA
Prospective Test Set
PSS000006
PGS000003, PGS000006, PGS000009
11,428
1,259
10,169
0
null
European
null
Denmark, France, Germany, Greece, Italy, Norway, Spain, Sweden, The Netherlands, UK, USA
null
ER-negative breast cancer cases
null
null
null
null
AHS|BGS|EPIC|FHRISK|NHS|NHS2|PLCO|PROCAS|SISTER|KARMA
Prospective Test Set
PSS000007
PGS000004
190,040
3,215
186,825
0
null
European
null
UK
null
Incident registry-confirmed invasive breast cancers developed
null
null
null
null
UKB
Prospective Test Set (UKB)
PSS000008
PGS000010
27,271
null
null
38.7
null
European
Swedish
Sweeden
null
Coronary heart disease represented a composite of fatal or non-fatal myocardial infarction, coronary artery bypass grafting, or percutaneous coronary intervention
null
null
null
null
MDC
Primary prevention cohorts
PSS000008
PGS000010
8,749
108
8,641
67.8
null
European
null
null
null
Coronary heart disease represented a composite of fatal or non-fatal myocardial infarction, coronary artery bypass grafting, or percutaneous coronary intervention
null
null
null
null
JUPITER
Primary prevention cohorts
PSS000008
PGS000010
6,978
149
6,829
79.7
null
European
null
null
null
Coronary heart disease represented a composite of fatal or non-fatal myocardial infarction, coronary artery bypass grafting, or percutaneous coronary intervention
null
null
null
null
ASCOT
Primary prevention cohorts
PSS000009
PGS000010
2,878
320
2,558
86.1
null
European
null
null
null
Coronary heart disease represented a composite of fatal or non-fatal myocardial infarction, coronary artery bypass grafting, or percutaneous coronary intervention
null
null
null
null
CARE_b
Secondary prevention cohorts
PSS000009
PGS000010
1,999
229
1,770
77.5
null
European
null
null
null
Coronary heart disease represented a composite of fatal or non-fatal myocardial infarction, coronary artery bypass grafting, or percutaneous coronary intervention
null
null
null
null
PROVEIT
Secondary prevention cohorts
PSS000010
PGS000010, PGS000011
23,595
2,213
21,382
38.029243
null
European
Swedish
Sweeden
null
Incident CHD was defined as coronary revascularization, fatal or nonfatal myocardial infarction, or death due to ischemic heart disease.
null
null
8,429,286
null
MDC
Prospective study
PSS000011
PGS000010, PGS000012
3,406
587
2,819
45
null
European
null
USA
null
The main outcome of interest was incident CHD event before age 75y. We used the definition of CHD as employed by the Framingham study, namely, one of • MI recognized, with diagnostic ECG (FHS event code #1) • MI recognized, without diagnostic ECG, with enzymes and history (#2) • MI recognized, without diagnostic ECG, with autopsy evidence (new event) (#3) • MI unrecognized, silent (#4) • MI unrecognized, not silent (#5) • Angina pectoris (AP), first episode only (#6) • Coronary insufficiency (CI), definite by both history and ECG (#7) • Questionable MI at exam 1 (#8) • Acute MI by autopsy, previously coded as 1 or 2 (#9) • Death, CHD sudden, with 1 hour (#21) • Death, CHD 1–23 hours, non sudden (#22) • Death, CHD 24-47 hours, non sudden (#23) • Death, CHD, 48 hours or more, non sudden (#24)
null
null
null
null
FHS
FHS Original, FHS Offspring
PSS000012
PGS000010, PGS000012
12,676
757
11,919
46
null
European
Finnish
Finland
null
Coronary heart disease (CHD) was defined as falling into any of the following categories: • I21 or I22 (ICD-10) / 410 (ICD-8/9) as the direct or as a contributing cause of death or I20-I25 (ICD-10) /410-414 (ICD-9) as the underlying cause of death • I21 or I22 (ICD-10) / 410 (ICD-8/9) as the main or secondary diagnosis at hospital discharge. • Coronary bypass surgery or coronary angioplasty at hospital discharge or identified from the Finnish registry of invasive cardiac procedures.
null
null
null
null
FINRISK
FR92, FR97, FR02
PSS000013
PGS000016
288,978
4,576
284,402
null
null
European
null
UK
null
Atrial fibrillation ascertainment was based on self-report of atrial fibrillation, atrial flutter, or cardioversion in an interview with a trained nurse, an ICD-9 code of 427.3 or ICD-10 code of I48.X in hospitalization records, or a history of a percutaneous ablation or cardioversion based on the OPCS-4 coded procedure (K57.1, K62.1, K62.2, K62.3, or K 62.4), as performed previously
null
null
null
null
UKB
UKB Phase 2
PSS000014
PGS000015
157,895
6,586
151,309
0
null
European
null
UK
null
Breast cancer ascertainment was based on self-report in an interview with a trained nurse, ICD-9 codes (174 or 174.9) or ICD-10 codes (C50.X) in hospitalization records, or a breast cancer diagnosis reported to the national registry before the date of enrollment.
null
null
null
null
UKB
UKB Phase 2
PSS000015
PGS000013
288,978
8,676
280,302
null
null
European
null
UK
null
CAD ascertainment was based on a composite of myocardial infarction or coronary revascularization. Myocardial infarction was based on self-report or hospital admission diagnosis, as performed centrally. This included individuals with ICD-9 codes of 410.X, 411.0, 412.X, or 429.79, or ICD-10 codes of I21.X, I22.X, I23.X, I24.1, or I25.2 in hospitalization records. Coronary revascularization was assessed based on an OPCS-4 coded procedure for coronary artery bypass grafting (K40.1–40.4, K41.1–41.4, or K45.1–45.5), or coronary angioplasty with or without stenting (K49.1–49.2, K49.8–49.9, K50.2, K75.1–75.4, or K75.8–75.9).
null
null
null
null
UKB
UKB Phase 2
PSS000016
PGS000017
288,978
5,853
283,125
null
null
European
null
UK
null
Inflammatory bowel disease ascertainment was based on report in an interview with a trained nurse, or an ICD-9 code of 555.X or ICD-10 code of K51.X in hospitalization records.
null
null
null
null
UKB
UKB Phase 2
PSS000017
PGS000014
288,978
5,853
283,125
null
null
European
null
UK
null
Type 2 diabetes ascertainment was based on self-report in an interview with a trained nurse or an ICD-10 code of E11.X in hospitalization records.
null
null
null
null
UKB
UKB Phase 2
PSS000018
PGS000011, PGS000012, PGS000018
482,629
22,242
460,387
45.6
null
European, NR
null
UK
~95% European ancestry samples, <5% non-European ancestry
CAD was defined as fatal or nonfatal myocardial infarction (MI) cases, percutaneous transluminal coronary angioplasty (PTCA), or coronary artery bypass grafting (CABG). Prevalent versus incident status was relative to the UKB enrollment assessment. In UKB self-reported data, cases were defined as having had a heart attack diagnosed by a doctor (data field #6150); “non-cancer illnesses that self-reported as heart attack” (data field #20002); or self-reported operation including PTCA, CABG, or triple heart bypass (data field #20004). In HES hospital episodes data and death registry data, MI was defined as hospital admission or cause of death due to ICD-9 410 to 412, or ICD-10 I21 to I24 or I25.2; CABG and PTCA were defined as hospital admission OPCS-4 K40 to K46, K49, K50.1,or K75.
null
null
null
null
UKB
null
PSS000019
PGS000013, PGS000018
5,762
173
5,589
41.291045
null
European
French Canadian
Canada
null
Prevalent Coronary artery disease (CAD), where CAD is defined as previous diagnosis of myocardial infarction or revascularization procedures (percutaneous coronary intervention or coronary artery bypass grafting).
null
null
null
null
CARTaGENE
null
PSS000020
PGS000013, PGS000018
862
446
416
null
null
European
French Canadian
Canada
null
Recurrent CAD event during the follow- up period (median follow-up time =3.9 years [range =1.1–7), where CAD is defined as previous diagnosis of myocardial infarction or revascularization procedures (percutaneous coronary intervention or coronary artery bypass grafting).
null
null
null
null
MHI
Phase 1
PSS000020
PGS000013, PGS000018
2,333
937
1,396
null
null
European
French Canadian
Canada
null
Recurrent CAD event during the follow- up period (median follow-up time =3.9 years [range =1.1–7), where CAD is defined as previous diagnosis of myocardial infarction or revascularization procedures (percutaneous coronary intervention or coronary artery bypass grafting).
null
null
null
null
MHI
Phase 2
PSS000021
PGS000013, PGS000018
1,964
974
976
72.695519
null
European
French Canadian
Canada
null
Prevalent Coronary artery disease (CAD), where CAD is defined as previous diagnosis of myocardial infarction or revascularization procedures (percutaneous coronary intervention or coronary artery bypass grafting).
null
null
null
null
MHI
Phase 1
PSS000022
PGS000013, PGS000018
3,309
2,492
817
72.383197
null
European
French Canadian
Canada
null
Prevalent Coronary artery disease (CAD), where CAD is defined as previous diagnosis of myocardial infarction or revascularization procedures (percutaneous coronary intervention or coronary artery bypass grafting).
null
null
null
null
MHI
Phase 2
PSS000023
PGS000019
725
206
519
42.8
null
European
null
Canada
null
CAD case endpoints were defined as: angina, myocardial infarction, coronary angioplasty, and coronary bypass surgery. Participants are described as Caucasian with diagnosed Familial hypercholesterolemia(FH; Dutch Lipid Criteria score >= 3 [possible, probable, or definite FH]) and carriers of classical French Canadian mutations in the LDLR gene including del .15 kb of the promoter and exon 1, del .5 kb of exons 2 and 3, W66G (exon 3), E207K (exon 4), Y468X (exon 10), and C646Y (exon 14).
null
null
null
null
CNMA
Nutrition, Metabolism and Atherosclerosis Clinic (CNMA) of Institut de recherches cliniques de Montréal
PSS000024
PGS000019
725
231
494
42.8
null
European
null
Canada
null
Cerebrovascular disease (CVD) case endpoints were defined as: transient ischemic attack, stroke, and carotid endarterectomy. Participants are described as Caucasian with diagnosed Familial hypercholesterolemia(FH; Dutch Lipid Criteria score >= 3 [possible, probable, or definite FH]) and carriers of classical French Canadian mutations in the LDLR gene including del .15 kb of the promoter and exon 1, del .5 kb of exons 2 and 3, W66G (exon 3), E207K (exon 4), Y468X (exon 10), and C646Y (exon 14).
null
null
null
null
CNMA
Nutrition, Metabolism and Atherosclerosis Clinic (CNMA) of Institut de recherches cliniques de Montréal
PSS000025
PGS000020
6,280
302
5,978
55
null
European
Estonian
Estonia
null
Incident cases of Type 2 Diabetes in 5.63 years follow-up
null
null
null
null
EB
null
PSS000026
PGS000021
223
46
177
46.300448
null
European
null
UK
null
Cases were defined on the presence or absence of severe insulin deficiency (requiring insulin treatment at 3 years after diagnosis). We cate- gorized people as severely insulin defi- cient if they received continuous insulin treatment at ,3 years from the time of diagnosis and had a low measured C-peptide level (nonfasting measured ,0.6 nmol/L or equivalent fasting blood glucose level or posthome meal urine C-peptide–to–creatinine ratio)
null
null
null
null
P2ID
A cross-sectional cohort of people in whom diabetes was diagnosed between the ages of 20 and 40 years (n = 223), who had had diabetes for .3 years, and who had self-reported as white European from Devon and Cornwall in South West England. Known monogenic diabetes and secondary diabetes pa- tients were excluded.
PSS000027
PGS000022
299
84
63
33.78
null
African American or Afro-Caribbean
null
USA
null
Type 1 diabetes status was assigned according to clinician diagnosis.
null
null
null
null
UFDI
Total sample number contains the number of controls, cases, and includes the number of first/second-degree relatives and samples identified as "at risk" (autoantibody positive) used in other analyses.
PSS000028
PGS000022
252
65
43
44.84
null
Hispanic or Latin American
null
USA
Samples labeled Caucasian (Hispanic ethnicity) in the original publication.
Type 1 diabetes status was assigned according to clinician diagnosis.
null
null
null
null
UFDI
Total sample number contains the number of controls, cases, and includes the number of first/second-degree relatives and samples identified as "at risk" (autoantibody positive) used in other analyses.
PSS000029
PGS000022
1,447
478
290
47.34
null
European
null
USA
Samples labeled Caucasian (non-Hispanic) in the original publication.
Type 1 diabetes status was assigned according to clinician diagnosis.
null
null
null
null
UFDI
Total sample number contains the number of controls, cases, and includes the number of first/second-degree relatives and samples identified as "at risk" (autoantibody positive) used in other analyses.
PSS000030
PGS000021, PGS000023
3,949
1,021
2,928
null
null
African unspecified
null
null
null
null
null
null
null
null
GoKinD|NYCP|T1DGC|UAB|SEARCH|BDC|CLEAR
null
PSS000031
PGS000023
145
61
54
null
null
African unspecified
null
USA
null
Cases are diagnosed with type 1 diabetes.
null
null
null
null
UOF
null
PSS000032
PGS000021, PGS000024
374,000
387
373,613
null
null
European
null
UK
null
Type 1 Diabetes Case Definition = Clinical diagnosis of diabetes at less than or equal to 20 years of age; On insulin within 1 year from the time of diagnosis; Still on insulin at the time of recruit- ment; Not using oral antihyperglycemic agents; Did not ever self-report as having type 2 diabetes (T2D)
null
null
null
null
UKB
null
PSS000033
PGS000025
19,687
2,782
null
null
null
European
null
null
null
Most of the studies used standard screening procedures based on history, medical review, screening questions, and cognitive assessments that flagged participants with potential cognitive impairment. These participants underwent complete neurological and neuropsychological evaluation. An initial decision was made regarding the presence or absence of dementia, using the DSM-IV criteria; a diagnosis of possible, probable, or definite AD was made as a second step using NINCDS-ADRDA (National Institute of Neurological Disorders and Stroke Alzheimer’s Disease and Related Disorders Association) criteria.
null
null
27,340,842
null
3C|ACT|ROSMAP|WHICAP|CHS|FHS|AGES|RS
As one SNP (rs9271192) was missing in FHS, WHICAP, and Rotterdam because of poor imputation quality, an 18 SNP-based GRS was computed in these cohorts. As the samples used in this project were partially overlapping with the ones used in the original IGAP study, we ran an additional IGAP meta-analysis after excluding those and did not find significant changes in the estimations of HRs for the SNPs considered
PSS000034
PGS000025
4,353
null
null
null
null
European
null
null
null
Most of the studies used standard screening procedures based on history, medical review, screening questions, and cognitive assessments that flagged participants with potential cognitive impairment. These participants underwent complete neurological and neuropsychological evaluation. An initial decision was made regarding the presence or absence of dementia, using the DSM-IV criteria; a diagnosis of possible, probable, or definite AD was made as a second step using NINCDS-ADRDA (National Institute of Neurological Disorders and Stroke Alzheimer’s Disease and Related Disorders Association) criteria.
null
null
27,340,842
null
3C|ACT|ROSMAP|WHICAP|CHS|FHS|AGES|RS
As one SNP (rs9271192) was missing in FHS, WHICAP, and Rotterdam because of poor imputation quality, an 18 SNP-based GRS was computed in these cohorts. As the samples used in this project were partially overlapping with the ones used in the original IGAP study, we ran an additional IGAP meta-analysis after excluding those and did not find significant changes in the estimations of HRs for the SNPs considered
PSS000035
PGS000025
15,334
null
null
null
null
European
null
null
null
Most of the studies used standard screening procedures based on history, medical review, screening questions, and cognitive assessments that flagged participants with potential cognitive impairment. These participants underwent complete neurological and neuropsychological evaluation. An initial decision was made regarding the presence or absence of dementia, using the DSM-IV criteria; a diagnosis of possible, probable, or definite AD was made as a second step using NINCDS-ADRDA (National Institute of Neurological Disorders and Stroke Alzheimer’s Disease and Related Disorders Association) criteria.
null
null
27,340,842
null
3C|ACT|ROSMAP|WHICAP|CHS|FHS|AGES|RS
As one SNP (rs9271192) was missing in FHS, WHICAP, and Rotterdam because of poor imputation quality, an 18 SNP-based GRS was computed in these cohorts. As the samples used in this project were partially overlapping with the ones used in the original IGAP study, we ran an additional IGAP meta-analysis after excluding those and did not find significant changes in the estimations of HRs for the SNPs considered
PSS000036
PGS000026
17,956
6,984
10,972
40.505747
null
European
null
null
null
Cases are patients with clinically diagnosed AD and compared to cognitively normal older individuals
null
null
null
null
ADGC
ADGC Phase 2
PSS000037
PGS000027
288,016
null
null
45
null
European
null
null
null
null
null
null
null
null
UKB
null
PSS000038
PGS000028, PGS000029
102
51
51
0
null
East Asian
null
USA
null
Cases were ascertained by linkage to the California Cancer Registry and defined as pathologically-confirmed diagnoses of invasive breast cancers with positive/elevated ER expression on immunohistochemical staining. ER-negative cases and those with unavailable ER status were excluded. Excluded women self-identified as premenopausal, perimenopausal, or postmenopausal as a direct result of surgery or medical treatments, such as chemotherapy. Women on hormonal therapy or selective estrogen receptor modulators at the time of blood draw were also excluded.
null
null
null
null
CPMCBHC
Nested case-control study from the CPMC Breast Health Cohort.
PSS000039
PGS000028
774
387
387
0
null
European
null
USA
null
Cases were ascertained by linkage to the California Cancer Registry and defined as pathologically-confirmed diagnoses of invasive breast cancers with positive/elevated ER expression on immunohistochemical staining. ER-negative cases and those with unavailable ER status were excluded. Excluded women self-identified as premenopausal, perimenopausal, or postmenopausal as a direct result of surgery or medical treatments, such as chemotherapy. Women on hormonal therapy or selective estrogen receptor modulators at the time of blood draw were also excluded.
null
null
null
null
CPMCBHC
Nested case-control study from the CPMC Breast Health Cohort.
PSS000040
PGS000028
981
495
486
0
null
East Asian, European, Hispanic or Latin American
null
USA
null
Cases were ascertained by linkage to the California Cancer Registry and defined as pathologically-confirmed diagnoses of invasive breast cancers with positive/elevated ER expression on immunohistochemical staining. ER-negative cases and those with unavailable ER status were excluded. Excluded women self-identified as premenopausal, perimenopausal, or postmenopausal as a direct result of surgery or medical treatments, such as chemotherapy. Women on hormonal therapy or selective estrogen receptor modulators at the time of blood draw were also excluded.
null
null
null
null
CPMCBHC
Nested case-control study from the CPMC Breast Health Cohort.
PSS000041
PGS000030
74,849
46,939
27,910
100
null
European
null
USA, Europe (multiple countries)
null
For each cohort core data on disease status, age at diagnosis (age at observation or questionnaire for controls), family history of PrCa, and clinical factors for cases (for example, PSA at diagnosis and Gleason score) was extracted
null
null
null
null
MCCS|SEARCH|MEC|HPFS|EPIC|COSM|CPCS|CPS|PLCO|SAAR|FHCRC|Gene-PARE|HZ|IPO-Porto|IMPACT|LAAPC|MCC-Spain|MDACCS|MOFFITT_PC|CONOR|PCMUS|PHS|Poland|PRAGGA|PROCAP|PROFILE|PROGReSS_PrCa|ProMPT|ProtecT|APCB|RAPPER|SFPCS|SNP_Prostate_Ghent|SPAG|PCPT|SWOG-SELECT|TAMPERE|TOR|UKGPCS|ERSPC|QLD|STHM
These samples (OncoArray) were also used in the GWAS meta-analysis
PSS000042
PGS000031, PGS000032, PGS000033
820
118
702
38.8
null
African American or Afro-Caribbean
null
USA
null
T2D was defined by a fasting plasma glucose ≥7.0 mmol/L (≥126 mg/dL) or report of taking diabetes medications
null
null
null
null
CARDIA
null
PSS000043
PGS000031, PGS000032, PGS000033
1,650
97
1,553
46.5
null
European
null
USA
null
T2D was defined by a fasting plasma glucose ≥7.0 mmol/L (≥126 mg/dL) or report of taking diabetes medications
null
null
null
null
CARDIA
null
PSS000044
PGS000031, PGS000032, PGS000033
3,471
446
3,025
46.6
null
European
null
USA
null
T2D was defined by a fasting plasma glucose ≥7.0 mmol/L (≥126 mg/dL) or report of taking diabetes medications
null
null
null
null
FOS
null
PSS000045
PGS000034
1,699
null
null
100
null
European
null
USA
null
BMI difference between ages 21 and 45
null
null
null
null
HPFS
null
PSS000046
PGS000034
1,634
null
null
100
null
European
null
USA
null
BMI difference between ages 45 and 65
null
null
null
null
HPFS
null
PSS000047
PGS000034
2,020
null
null
100
null
European
null
USA
null
BMI difference between ages 65 and 80
null
null
null
null
HPFS
null
PSS000048
PGS000034
5,956
null
null
0
null
European
null
USA
null
BMI difference between ages 18 and 45
null
null
null
null
NHS
null
PSS000049
PGS000034
6,705
null
null
0
null
European
null
USA
null
BMI difference between age 18 and Menopause
null
null
null
null
NHS
null
PSS000050
PGS000034
5,640
null
null
0
null
European
null
USA
null
BMI difference between ages 45 and 65
null
null
null
null
NHS
null
PSS000051
PGS000034
2,942
null
null
0
null
European
null
USA
null
BMI difference between ages 65 and 80
null
null
null
null
NHS
null
PSS000052
PGS000034
6,436
null
null
0
null
European
null
USA
null
BMI difference between Menopause and age 65
null
null
null
null
NHS
null
PSS000053
PGS000035
4,606
580
4,026
45.896657
null
European, NR
null
USA
FHS is principally composed of individuals of European ancestry
Participants were classified as having AF if an arrhythmia was present on an ECG obtained at a study visit or encounter with external clinicians, Holter monitoring, or noted in hospital records during a median 9.4 years of follow-up.
null
null
null
null
FHS
Samples were obtained from the following FHS cohorts: Original, Offspring, and Third Generation. Participants were eligible for inclusion if they were AF free at an average age of 55.
PSS000054
PGS000036
324,870
13,480
311,390
null
null
European
null
null
null
Prevalent T2D status was defined using self-reported medical history and medication
null
null
31,322,649
null
UKB
null
PSS000055
PGS000037
880
305
575
51
null
European
null
New Zealand
null
Current asthma status was assessed at ages 9, 11, 13, 15, 18, 21, 26, 32, and 38 years from standardised interviews of study members (or their mothers if the participant was younger than 13 years) done by pulmonary specialists. Current asthma was defined as a diagnosis of asthma in addition to positive symptoms within the past 12 months, including asthma attack, recurrent wheeze (excluding study members reporting only one or two episodes lasting less than 1 h), or medical treatment for asthma. Age at asthma onset was defined as the earliest age at which wheezing symptoms or diagnosis by a physician were recorded.
median:38.0;range:[0.0,38.0];unit:years
null
null
null
DMHDS
null
PSS000056
PGS000037
187
null
null
null
null
European
null
New Zealand
null
Current asthma status was assessed at ages 9, 11, 13, 15, 18, 21, 26, 32, and 38 years from standardised interviews of study members (or their mothers if the participant was younger than 13 years) done by pulmonary specialists. Current asthma was defined as a diagnosis of asthma in addition to positive symptoms within the past 12 months, including asthma attack, recurrent wheeze (excluding study members reporting only one or two episodes lasting less than 1 h), or medical treatment for asthma. Age at asthma onset was defined as the earliest age at which wheezing symptoms or diagnosis by a physician were recorded.
null
null
null
null
DMHDS
Subset of children from DMHDS with asthma onset in childhood (before age 13 years)
PSS000057
PGS000038
306,473
2,077
304,396
44.589246
mean:56.7;sd:7.9;unit:years
European
null
UK
Unrelated White British subset of UKB participants
Incident stroke in was defined based on the UK Biobank (UKB) algorithm, based on medical history and linkage to data on hospital admissions and mortality. The authors also subtyped ischaemic stroke, intracerebral haemorrhage, or subarachnoid haemorrhage. UKB Participants with genetic data were excluded from the analysis based on the following criteria: failing genetic quality control (missingness > 5%, sex mismatch, excessive heterozygosity), having a history of stroke or myocardial infarction (MI), self-report of stroke or MI, missing lifestyle information.
median:7.1;unit:years
null
null
null
UKB
null
PSS000058
PGS000038, PGS000039
395,393
3,075
392,318
45.7
mean:54.3;unit:years
European
null
UK
null
Prevalent and incident Ischaemic stroke; defined in http://biobank.ndph.ox.ac.uk/showcase/docs/alg_outcome_stroke.pdf
mean:6.3;sd:1.9;unit:years
null
null
null
UKB
Validation set
PSS000059
PGS000040
2,476
647
1,829
null
null
European
Finnish
Finland
null
null
null
GCST000612
null
null
Health2000|FINRISK
null
PSS000060
PGS000040
10,304
5,907
4,397
null
null
European
British
UK
null
null
null
GCST005523
null
null
null
Immunochip
PSS000061
PGS000040
1,040
497
543
null
null
European
Italian
Italy
null
null
null
GCST000612
null
null
null
null
PSS000062
PGS000040
1,649
803
846
null
null
European
Dutch
Netherlands
null
null
null
GCST000612
null
null
null
null
PSS000063
PGS000040
2,200
778
1,422
null
null
European
British
UK
null
null
null
GCST000048
null
null
null
null
PSS000064
PGS000040
1,696
1,259
437
null
null
European
null
USA
null
null
null
GCST002520
null
null
NIDDK
null
PSS000065
PGS000040, PGS000041, PGS000042
1,237
1,094
143
null
null
European
null
USA
null
The HLA-DQ2.5-positive subset of NIDDK-CIDR
null
GCST002520
null
null
NIDDK
HLA alleles were imputed using SNP2HLA
PSS000066
PGS000043
55,965
2,100
53,865
null
null
European
null
USA
null
VTE was defined in the MVP cohort using the following diagnosis codes for: - Deep Venous Thrombosis ICD-10 codes: {I80.1, I80.2, I82.22, I82.4, I82.5} and ICD-9 codes: {451.11, 451.19, 453.2, 453.4} - Pulmonary Embolism ICD-10 codes: {I26.0, I26.9} and ICD-9 code {415.1}
null
null
null
null
MVP
MVP Cohort = 3.0
PSS000067
PGS000043
10,975
690
10,285
0
mean:65.0;unit:years
European
null
USA
null
null
null
null
null
null
WHI|WHI-GARNET|WHI-MS|WHI-LLS|WHI-HT
null
PSS000068
PGS000044
8,796
2,148
6,648
100
range:[50.0,69.0];unit:years
European
null
UK
null
Prostate cancer was classified as localized disease with tumor-node-metastasis stage T2 and below and advanced disease (regional-distant) was classified as localized disease with tumor-node-metastasis stage T3 and above (low aggressive tumor, Gleason score <7; intermediate to highly aggressive tumor, Gleason score ≥7). Elevated serum prostate-specific antigen (PSA) levels were defined as ≥4 ng/ml.
null
null
12,709,289
null
ProtecT
null
PSS000068
PGS000044
5,059
4,099
960
100
range:[50.0,69.0];unit:years
European
null
UK
null
Prostate cancer was classified as localized disease with tumor-node-metastasis stage T2 and below and advanced disease (regional-distant) was classified as localized disease with tumor-node-metastasis stage T3 and above (low aggressive tumor, Gleason score <7; intermediate to highly aggressive tumor, Gleason score ≥7). Elevated serum prostate-specific antigen (PSA) levels were defined as ≥4 ng/ml.
null
null
null
null
SEARCH
null
PSS000068
PGS000044
3,157
3,157
0
100
range:[50.0,60.0];unit:years
European
null
UK
null
Prostate cancer was classified as localized disease with tumor-node-metastasis stage T2 and below and advanced disease (regional-distant) was classified as localized disease with tumor-node-metastasis stage T3 and above (low aggressive tumor, Gleason score <7; intermediate to highly aggressive tumor, Gleason score ≥7). Elevated serum prostate-specific antigen (PSA) levels were defined as ≥4 ng/ml.
null
null
1,249,686
null
UKGPCS
null
PSS000069
PGS000044
4,967
1,089
3,878
100
range:[55.0,71.0];unit:years
European
Finnish
Finland
null
Prostate cancer was classified as localised disease with tumour-node-metastasis (TNM) stage T1-2 N0 M0; and advanced disease (regional-distant) with stage T3 and above or any T N1 M1; as non-aggressive tumour, Gleason score <7, and aggressive tumour, Gleason score ⩾7.
median:13.0;unit:years
null
null
null
ERSPC
null
PSS000070
PGS000001, PGS000002, PGS000003, PGS000045, PGS000046, PGS000047
15,252
7,797
7,455
0
null
European
null
NR
Some analyses accounted for samples part of the larger cohort with Ashkenazi Jewish ancestry
BRCA1 mutation carriers were followed until breast or ovarian cancer diagnosis, bilateral prophylactic mastectomy, or age at last observation whichever occurred first.
null
null
null
null
CIMBA
Median censoring age (cases) = 40
PSS000071
PGS000001, PGS000002, PGS000003, PGS000045, PGS000046, PGS000047
8,211
4,330
3,881
0
null
European
null
NR
Some analyses accounted for samples part of the larger cohort with Ashkenazi Jewish ancestry
BRCA2 mutation carriers were followed until breast or ovarian cancer diagnosis, bilateral prophylactic mastectomy, or age at last observation whichever occurred first.
null
null
null
null
CIMBA
Median censoring age (cases) = 43
PSS000072
PGS000048
15,252
2,462
12,790
0
null
European
null
NR
Some analyses accounted for samples part of the larger cohort with Ashkenazi Jewish ancestry
BRCA1 mutation carriers were followed until the age of ovarian cancer diagnosis, age at risk-reducing salpingo-oophorectomy (RRSO) or age at last observation. Breast cancer diagnosis was not considered as a censoring event in the ovarian cancer analysis
null
null
null
null
CIMBA
Median censoring age (cases) = 50
PSS000073
PGS000048
8,211
631
7,580
0
null
European
null
NR
Some analyses accounted for samples part of the larger cohort with Ashkenazi Jewish ancestry
BRCA2 mutation carriers were followed until the age of ovarian cancer diagnosis, age at risk-reducing salpingo-oophorectomy (RRSO) or age at last observation. Breast cancer diagnosis was not considered as a censoring event in the ovarian cancer analysis
null
null
null
null
CIMBA
Median censoring age (cases) = 57
PSS000074
PGS000045, PGS000046, PGS000047
1,590
277
1,313
100
null
European
null
Australia, Austria, Belgium, Canada, Denmark, Finland, France, Germany, Greece, Hungary, Iceland, Italy, Lithuania, Netherlands, Portugal, Spain, Sweden, UK, USA
Self-reported European ancestry
Breast and prostate cancer cases were defined on the basis of age at diagnosis, whichever occurred first. If breast and prostate cancer occurred at the same time, individuals were treated as patients with breast cancer.
null
null
null
null
DEMOKRITOS|CNIO|CONSIT|DKFZ|FCCC|G-FaST|HVH|IOVHBOCS|kConFab|MAYO|NCI|OSU|UPITT|CBCS|BCFR|ILUH|SWE-BRCA|Chicago|GC-HBOC|HEBCS|MSKCC|PBCS|BRICOH|CIMBA|EMBRACE|GEMO|HCSC|HEBON|HUNBOCS|ICO|IPOBCS|MUV|OCGN|OUH|UPENN|VFCTG|BFBOCC
null
PSS000075
PGS000049
1,525
212
1,313
100
null
European
null
Australia, Austria, Belgium, Canada, Denmark, Finland, France, Germany, Greece, Hungary, Iceland, Italy, Lithuania, Netherlands, Portugal, Spain, Sweden, UK, USA
Self-reported European ancestry
Breast and prostate cancer cases were defined on the basis of age at diagnosis, whichever occurred first. If breast and prostate cancer occurred at the same time, individuals were treated as patients with breast cancer.
null
null
null
null
DEMOKRITOS|CNIO|CONSIT|DKFZ|FCCC|G-FaST|HVH|IOVHBOCS|kConFab|BRICOH|EMBRACE|HEBON|HUNBOCS|ICO|IPOBCS|MAYO|NCI|OSU|UPITT|CBCS|BCFR|ILUH|SWE-BRCA|Chicago|GC-HBOC|HEBCS|MSKCC|PBCS|CIMBA|HCSC|MUV|OCGN|OUH|UPENN|VFCTG|BFBOCC|GEMO
null
PSS000076
PGS000049
3,325
2,012
1,313
100
null
European
null
Australia, Austria, Belgium, Canada, Denmark, Finland, France, Germany, Greece, Hungary, Iceland, Italy, Lithuania, Netherlands, Portugal, Spain, Sweden, UK, USA
Self-reported European ancestry
null
null
null
null
null
DEMOKRITOS|CNIO|CONSIT|DKFZ|FCCC|G-FaST|HVH|IOVHBOCS|kConFab|MAYO|NCI|OSU|UPITT|CBCS|BCFR|ILUH|SWE-BRCA|Chicago|GC-HBOC|HEBCS|MSKCC|PBCS|BRICOH|CIMBA|EMBRACE|GEMO|HCSC|HEBON|HUNBOCS|ICO|IPOBCS|MUV|OCGN|OUH|UPENN|VFCTG|BFBOCC
null
PSS000077
PGS000049
1,366
53
1,313
100
null
European
null
Australia, Austria, Belgium, Canada, Denmark, Finland, France, Germany, Greece, Hungary, Iceland, Italy, Lithuania, Netherlands, Portugal, Spain, Sweden, UK, USA
Self-reported European ancestry
null
null
null
null
null
DEMOKRITOS|CNIO|CONSIT|DKFZ|FCCC|G-FaST|HVH|IOVHBOCS|kConFab|MAYO|NCI|OSU|UPITT|CBCS|BCFR|ILUH|SWE-BRCA|Chicago|GC-HBOC|HEBCS|MSKCC|PBCS|BRICOH|EMBRACE|GEMO|HEBON|HUNBOCS|ICO|IPOBCS|OCGN|OUH|VFCTG|BFBOCC|CIMBA|HCSC|MUV|UPENN
null
PSS000078
PGS000050
23,567
11,905
11,662
0
null
East Asian
null
Thaiand, Japan, China, Korea, Malaysia
null
null
null
null
null
null
BCAC|ACP|HERPACC|LAABC|MYBRCA|SBCGS|SEBCS|SGBCC|TBCS|TWBCS|SGWAS
null
PSS000079
PGS000050
5,152
2,867
2,285
0
null
East Asian
Chinese
China
null
null
null
null
19,219,042
null
SGWAS
SGWAS (Stage 1). Smaller set of the larger test set from this study.
PSS000080
PGS000051
11,880
4,006
7,874
0
mean:53.7;range:[34.0,70.0];sd:8.0;unit:years
European, NR
null
USA
null
Questionnaires were mailed to women biennially to collect information on breast cancer risk factors, including age at menarche, age at first birth, parity, family history of breast cancer, height, weight, physical activity, menopausal status, age at menopause, and HT use. Incident breast cancer cases up to 1 June 2010 were also identified through biennial questionnaires. Diagnoses were confirmed with the participants (or next of kin), and permission was obtained to collect relevant medical or pathology reports. Analysis was restricted to invasive breast cancer.
mean:26.54;unit:years
null
null
null
NHS|NHS2
Performance metrics are reported for the "All women" results of Table 2
PSS000081
PGS000051
8,160
2,676
5,484
0
mean:53.7;range:[34.0,70.0];sd:8.0;unit:years
European, NR
null
USA
null
Questionnaires were mailed to women biennially to collect information on breast cancer risk factors, including age at menarche, age at first birth, parity, family history of breast cancer, height, weight, physical activity, menopausal status, age at menopause, and HT use. Incident breast cancer cases up to 1 June 2010 were also identified through biennial questionnaires. Diagnoses were confirmed with the participants (or next of kin), and permission was obtained to collect relevant medical or pathology reports. Analysis was restricted to invasive breast cancer.
mean:23.08;unit:years
null
null
null
NHS|NHS2
Performance metrics are reported for the "All women" results of Table 3
PSS000082
PGS000052
585
323
262
0
mean (cases):51.0;sd (cases):11.0;unit:years
European
null
Netherlands, Hungary
null
A family-based cohort including 323 breast cancer cases and 262 unaffected relatives from 101 families. Unaffected relatives derived from 49 out of 101 families.
null
null
null
null
null
null
PSS000083
PGS000021
1,963
1,963
0
null
null
European
null
UK
null
Cases were clinically diagnosed with T1D before 17 years of age and treated with insulin from diagnosis. Patients with known MODY or NDM were excluded.
null
null
null
null
WTCCC
Cases with Type 1 Diabetes
PSS000083
PGS000021
805
805
0
33.913043
null
European
null
UK
null
MODY patients with a confirmed monogenic etiology on genetic testing (415 patients with HNF1A MODY, 346 with GCK MODY, 42 with HNF4A MODY, and 2 with HNF1B MODY). The median age of diagnosis was 20 years (interquartile range 15, 30), and 532 patients were female.
null
null
null
null
null
Maturity-onset diabetes of young (MODY) cases ascertained from the Genetic Βeta Cell Research Bank, Exeter, U.K.
PSS000084
PGS000054
3,324
2,155
1,169
34
null
Hispanic or Latin American
null
USA, Dominican Republic
Samples are described as "Carribbean Hispanic"
EFIGA recruited patients from families multiply affected by LOAD, but of Caribbean Hispanic ancestry from the Dominican Republic and New York. Families were recruited after confirming diagnoses in the probands. Family members with dementia were also interviewed and neurologically evaluated. Clinical diagnoses were made in a consensus diagnostic conference by a panel of neurologists, neuropsychologists, and psychiatrists. Detailed description is available elsewhere.14 For these family-based studies, we included data from families for which their members (1) were 60 years or older at the time of enrollment; (2) had a diagnosis of probable or possible LOAD according to National Institute of Neurological and Communicative Disorders and Stroke–Alzheimer’s Disease and Related Disorders Association (NINDS-ADRDA) criteria; (3) had available pedigree information and covariates.
null
null
null
null
EFIGA
null
PSS000085
PGS000053
4,792
2,128
2,664
38
null
European
null
USA
null
Selection criteria included (1) a proband who received a dianosis of definite or probable late onset Alzheimer's Disease (LOAD) with age at onset of at least 60 years; (2) a full sibling with definite, probable, or possible LOAD with age at onset after 60 years; (3) a related family member (first-,second-,or third-degree relative) of theaffected sibling pair and 60 years or older if unaffected, or 50 years or older if dianosed with LOAD or mild cognitive impairment (MCI)
null
null
null
null
NIA-LOAD
null
PSS000086
PGS000055
21,630
8,580
13,050
null
null
East Asian
null
China, Japan, Korea, Taiwan
null
null
null
null
null
null
EPIC|NHS|UKB|HPFS|MGI|CORSA|DACHS|COLON
null
PSS000087
PGS000055
61,335
12,952
48,383
null
null
European
null
USA, Europe
null
null
null
null
null
null
HPFS3|NHS3|EPIC|UKB|MGI|CORSA|COLON|DACHS
null
PSS000088
PGS000056
285
285
0
56.140351
mean:69.1;sd:10.4;unit:years
European
null
USA
null
Parkinson Disease symptom progression was assessed during 1 to 3 follow-up examinations by a movement disorder team (June 1, 2007, to August 31, 2013; mean [SD] time from disease onset, 7.3 [2.8] years) using the following methods: - Cognitive decline was determined with the Mini-Mental State Examination (MMSE; range, 0-30, with lower scores indicating worse cognitive function). Cognitive decline was defined as a 4-point decrease from baseline MMSE score and time to event as the time from the baseline to follow-up examinations in which a 4-point decrease was first measured - Motor decline was defined as a 20-point increase in Unified Parkinson’s Disease Rating Scale part III (UPDRS-III) score, and time to event as the time from the baseline to follow-up examinations in which a 20-point increase was first measured. - Motor decline was also measured by assessing conversion to stage 3 or higher of the Hoehn & Yahr (H&Y) scale. Time to conversion to H&Y stage 3 was defined as the time from the baseline to first follow-up examinations in which the patient scored at least stage 3.
mean:5.3;sd:2.1;unit:years
null
29,340,614
null
PEG
Patients with idiopathic PD diagnosed less than 3 years previously were recruited from June 1, 2001, through November 31, 2007. Patients were confirmed as having clinically probable or possible Parkinson Disease by a team of movement disorder specialists
PSS000089
PGS000057
4,392
null
null
null
range:[55.0,80.0];unit:years
NR
null
null
null
Total carotid plaque burden (mm2)
null
null
null
null
BioImage
null
PSS000090
PGS000057
1,154
null
null
null
range:[32.0,47.0];unit:years
NR
null
null
null
Total coronary arterial clacification (CAC) was coded as a a dichotomous outcome variable (CAC>0 versus CAC=0), and quantified by the Agatston method
mean:15.0;unit:years
null
null
null
CARDIA
null
PSS000091
PGS000057
2,440
null
null
100
mean:55.1;sd:5.5;unit:years
NR
null
null
null
Nonfatal myocardial infarction or death from CHD
mean:13.5;sd:2.8;unit:years
null
null
null
null
Participants were all men hypercholesterolemia but without a history of myocardial infarction, allocated to the placebo group
PSS000092
PGS000058
5,360
675
4,685
64.8
mean:62.8;unit:years
European
null
Canada, USA
Self reported white
Incident Major coronary events (MCE) are defined as: fatal or nonfatal coronary artery disease (CAD) events, nonfatal myocardial infarction, or unstable angina
median:4.7;unit:years
null
null
null
ACCORD
Type 2 Diabetes patients
PSS000093
PGS000058
1,931
163
1,768
null
null
European
null
null
Self reported white
Incident Major coronary events (MCE) are defined as: fatal or nonfatal coronary artery disease (CAD) events, nonfatal myocardial infarction, or unstable angina
median:6.2;unit:years
null
null
null
ORIGIN
Participants are from the Outcome Reduction With Initial Glargine Intervention (ORIGIN) trial and were enrolled based on having some combination of impaired fasting glucose, impaired glucose tolerance or type 2 diabetes, and high cardiovascular risk
End of preview. Expand in Data Studio

PGS Catalog — Scoring Files & Cleaned Metadata

Complete mirror of PGS Catalog scoring files converted to Apache Parquet format, together with cleaned and normalised metadata tables.

Built automatically by the just-prs pipeline.

Last updated: 2026-03-04 20:08 UTC

Release Statistics

Metric Value
Scoring file parquets 5,268
Unique PGS IDs (metadata) 5,251
Genome build GRCh38
Total scoring data size 51.6 GB
Release timestamp 2026-03-04T20:08:14Z

Files

Metadata (data/metadata/)

Cleaned and normalised PGS Catalog metadata tables.

File Rows Columns Key columns
metadata/scores.parquet 5,251 12 pgs_id, name, trait_reported, trait_efo, trait_efo_id, genome_build, n_variants, weight_type, ... (12 total)
metadata/performance.parquet 20,788 30 ppm_id, pgs_id, pss_id, pgp_id, trait_reported, covariates, pmid, doi, ... (30 total)
metadata/best_performance.parquet 5,233 30 pgs_id, ppm_id, pss_id, pgp_id, trait_reported, covariates, pmid, doi, ... (30 total)

Scoring files (data/scores/)

Individual scoring weight files, one parquet per PGS ID. Each file contains variant-level effect weights with harmonised positions.

Info Value
Total files 5,268
Naming pattern {PGS_ID}_hmPOS_GRCh38.parquet
Compression zstd (level 9)
Examples PGS000001_hmPOS_GRCh38.parquet, PGS000002_hmPOS_GRCh38.parquet, PGS000003_hmPOS_GRCh38.parquet, ... (5,268 files total)

Metadata Cleanup Pipeline

The raw PGS Catalog CSVs undergo several transformations:

  1. Column renaming — verbose PGS column names (e.g. Polygenic Score (PGS) ID) are mapped to short snake_case equivalents (pgs_id).
  2. Genome build normalization — 9 raw build variants (hg19, hg37, hg38, NCBI36, hg18, NCBI35, GRCh37, GRCh38, NR) are mapped to canonical values: GRCh37, GRCh38, GRCh36, or NR.
  3. Metric string parsing — performance metrics stored as strings like "1.55 [1.52,1.58]" or "-0.7 (0.15)" are parsed into structured numeric columns (*_estimate, *_ci_lower, *_ci_upper, *_se) for OR, HR, Beta, AUROC, and C-index.
  4. Performance flattening — performance metrics are joined with evaluation sample sets to include sample size (n_individuals) and ancestry (ancestry_broad).
  5. Best performance selectionbest_performance.parquet contains one row per PGS ID, selecting the evaluation with the largest sample size (with a preference for European-ancestry cohorts).

Scoring File Schema

Each scoring parquet contains variant-level data from the PGS Catalog harmonised files:

  • rsID — dbSNP rsID
  • chr_name / chr_position — chromosome and position (original)
  • effect_allele / other_allele — alleles
  • effect_weight — variant weight (beta, log-OR, etc.)
  • hm_chr / hm_pos — harmonised chromosome and position (GRCh38)
  • hm_inferOtherAllele — inferred other allele during harmonisation
  • PGS header metadata is embedded as file-level Parquet metadata under the key pgs_catalog_header.

Usage

Load metadata with polars

import polars as pl
from huggingface_hub import hf_hub_download

path = hf_hub_download(
    repo_id="just-dna-seq/pgs-catalog",
    filename="data/metadata/scores.parquet",
    repo_type="dataset",
)
scores = pl.read_parquet(path)
print(scores.head())

Load a scoring file

path = hf_hub_download(
    repo_id="just-dna-seq/pgs-catalog",
    filename="data/scores/PGS000001_hmPOS_GRCh38.parquet",
    repo_type="dataset",
)
weights = pl.read_parquet(path)
print(weights.head())

Source & License

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