PGS Sample Set (PSS)
large_stringlengths
9
9
Polygenic Score (PGS) ID
large_stringlengths
9
2.77k
Number of Individuals
int64
1
5.33M
Number of Cases
float64
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
large_stringclasses
131 values
Phenotype Definitions and Methods
large_stringclasses
798 values
Followup Time
large_stringclasses
141 values
GWAS Catalog Study ID (GCST...)
large_stringclasses
8 values
Source PubMed ID (PMID)
float64
1.25M
39.9M
Source DOI
large_stringclasses
13 values
Cohort(s)
large_stringclasses
460 values
Additional Sample/Cohort Information
large_stringclasses
245 values
PSS011678
PGS000004
6,522
320
6,202
0
mean:66.05;unit:years
European
Dutch
Netherlands
null
Cases include women that developed breast cancer. Within the cases there were 290 invasive breast cancer cases and 34 in situ breast cancer cases.
median:12.4;range:[0.03,24.43];unit:years
null
null
null
RS
null
PSS011679
PGS000013
80,865
382
80,483
null
null
European
null
null
null
Cases were individuals who had experienced mycoardial injury after non-cardiac surgery (MINS). MINS was defined as a new troponin elevation (≥ 0.1 ng/mL, institutional laboratory's upper threshold for normal) occurring within the first 30 days after surgery. If a patient underwent a subsequent surgery within the 30-day...
null
null
null
null
MGI
null
PSS011679
PGS000013
4,614
25
4,589
null
null
African unspecified
null
null
null
Cases were individuals who had experienced mycoardial injury after non-cardiac surgery (MINS). MINS was defined as a new troponin elevation (≥ 0.1 ng/mL, institutional laboratory's upper threshold for normal) occurring within the first 30 days after surgery. If a patient underwent a subsequent surgery within the 30-day...
null
null
null
null
MGI
null
PSS011679
PGS000013
1,121
4
1,117
null
null
Asian unspecified, Oceanian
null
null
null
Cases were individuals who had experienced mycoardial injury after non-cardiac surgery (MINS). MINS was defined as a new troponin elevation (≥ 0.1 ng/mL, institutional laboratory's upper threshold for normal) occurring within the first 30 days after surgery. If a patient underwent a subsequent surgery within the 30-day...
null
null
null
null
MGI
null
PSS011679
PGS000013
304
3
301
null
null
Native American
null
null
null
Cases were individuals who had experienced mycoardial injury after non-cardiac surgery (MINS). MINS was defined as a new troponin elevation (≥ 0.1 ng/mL, institutional laboratory's upper threshold for normal) occurring within the first 30 days after surgery. If a patient underwent a subsequent surgery within the 30-day...
null
null
null
null
MGI
null
PSS011679
PGS000013
3,149
15
3,134
null
null
Not reported
null
null
null
Cases were individuals who had experienced mycoardial injury after non-cardiac surgery (MINS). MINS was defined as a new troponin elevation (≥ 0.1 ng/mL, institutional laboratory's upper threshold for normal) occurring within the first 30 days after surgery. If a patient underwent a subsequent surgery within the 30-day...
null
null
null
null
MGI
null
PSS011680
PGS000011, PGS000012
26,203
2,063
24,140
46.74
mean:48.0;unit:years
European
Finnish
Finland
null
At baseline, all individuals were free from coronary heart disease (CHD). Cases included individuals who were hospitalised due to CHD or suffered a fatal CHD event. CHD events were defined for non-fatal cases as the International Classification of Diseases ninth revision (ICD-9) codes 410 and 4110 (years 1992-1995) and...
mean:13.8;unit:years
null
null
null
FINRISK
null
PSS011681
PGS000018, PGS000039
306,654
5,680
300,974
43.01
mean:56.0;sd:8.0;unit:years
European
null
UK
null
The primary outcome was a first-onset cardiovascular disease event, defined as the composite of CHD (i.e., myocardial infarction or fatal CHD) or any stroke. Secondary outcomes included each of CHD and stroke separately, and a combination of CHD, stroke, and cardiac revascularisation procedures (i.e., percutaneous tran...
median:8.1;unit:years
null
null
null
UKB
null
PSS011682
PGS004899
412
28
384
null
null
Not reported
null
null
null
All individuals had multifocal FMD. Cases show those with spontaneous coronary artery dissection.
null
null
null
null
CCGB
Cases from Cleveland Clinic FMD Biorepository
PSS011683
PGS004899
294,465
95,347
199,118
null
null
European
null
null
null
An individual was classified as a case if he or she had ≥1 admission to a VA hospital with discharge diagnosis of acute myocardial infarction (AMI) or ≥1 procedure code for revascularization of the coronary arteries or ≥2 ICD codes for CAD (410-414) on ≥2 dates.
null
null
null
null
MVP
null
PSS011684
PGS004899
314,434
14,802
299,632
null
null
European
null
null
null
Cases are individuals with evidence of hospitilisation for myocardial infarction.
null
null
null
null
MVP
null
PSS011685
PGS004899
373,056
15,476
357,580
45.86
null
European
null
UK
null
MI events were defined pre- enrollment by self-reported medical history and post-enrollment by hospital epi- sode statistics using ICD, Version 10 diagnosis codes (I21, I22, I23, or I24). Events were censored on the date of loss to follow-up, death, or if individuals remained event free up to March 31, 2017.
null
null
null
null
UKB
null
PSS011686
PGS004901
2,576
null
null
0
null
European
null
UK
null
Birth length (crown-heel) was measured by ALSPAC staff who visited newborns soon after birth (median 1 day, range 1-14 days), using a Harpenden Neonatometer (Holtain Ltd). Birth weight was extracted from medical records. From birth to five years, length and weight mea- surements were extracted from health visitor recor...
mean:20.0;unit:years
null
null
null
ALSPAC
null
PSS011687
PGS004900
2,690
null
null
100
null
European
null
UK
null
Birth length (crown-heel) was measured by ALSPAC staff who visited newborns soon after birth (median 1 day, range 1-14 days), using a Harpenden Neonatometer (Holtain Ltd). Birth weight was extracted from medical records. From birth to five years, length and weight mea- surements were extracted from health visitor recor...
mean:20.0;unit:years
null
null
null
ALSPAC
null
PSS011688
PGS004902
10,180
null
null
45
mean:51.8;unit:years
African unspecified
Continental Africans
Ghana, Burkina Faso, South Africa, Kenya
null
null
null
null
null
null
AWI-Gen
null
PSS011689
PGS000013
5,453
565
4,888
42.3
mean:63.0;sd:5.7;unit:years
European
null
U.S.
null
null
mean:14.2;unit:years
null
null
null
ARIC
null
PSS011690
PGS000013
2,017
153
1,864
44.2
mean:56.7;sd:9.2;unit:years
European
null
U.S.
null
null
mean:18.5;unit:years
null
null
null
FOS
null
PSS011691
PGS004903
3,212
88
3,124
null
null
European
null
null
null
null
null
null
null
null
BSTOP
null
PSS011692
PGS004602
433,150
null
null
null
null
European
British
U.K.
null
ICD-10 code, E11
null
null
null
null
UKB
null
PSS011693
PGS000356
414
9
405
null
null
African unspecified
null
null
null
null
null
null
null
null
SJLIFE|CCSS
null
PSS011694
PGS000356
4,322
259
4,063
null
null
European
null
null
null
null
null
null
null
null
SJLIFE|CCSS
null
PSS011695
PGS000356
718
null
null
49.4
null
African unspecified
null
null
null
null
null
null
null
null
SJLIFE|CCSS
null
PSS011696
PGS000356
9,895
null
null
49.8
null
European
null
null
null
null
null
null
null
null
SJLIFE|CCSS
null
PSS011697
PGS004904
113,256
null
null
null
null
European
null
UK
null
null
null
null
null
null
UKB
null
PSS011698
PGS000016, PGS000911
1,567
null
null
null
null
European
null
null
null
null
null
null
null
null
EAST-AFNET4
null
PSS011699
PGS000911
407,311
null
null
null
null
European
null
null
null
null
null
null
null
null
UKB
null
PSS011700
PGS004905
375,776
17,096
358,680
null
null
European
null
null
null
null
median:11.9;unit:years
null
null
null
UKB
null
PSS011700
PGS004905
9,703
252
9,451
null
null
Not reported
null
null
null
null
median:11.9;unit:years
null
null
null
UKB
null
PSS011700
PGS004905
8,698
240
8,458
null
null
Asian unspecified
null
null
null
null
median:11.9;unit:years
null
null
null
UKB
null
PSS011700
PGS004905
7,074
143
6,931
null
null
African unspecified
null
null
null
null
median:11.9;unit:years
null
null
null
UKB
null
PSS011701
PGS004906, PGS004907
2,169
null
null
50.8
median:6.0;95% range:[5.7,7.5];unit:years
European
null
null
null
null
null
null
null
null
Generation_R
null
PSS011701
PGS004906, PGS004907
3,382
null
null
52
median:7.5;95% range:[7.3,8.9];unit:years
European
null
null
null
null
null
null
null
null
ALSPAC
null
PSS011701
PGS004906, PGS004907
1,680
null
null
49.3
median:12.1;95% range:[12.0,12.5];unit:years
European
null
null
null
null
null
null
null
null
BLTS
null
PSS011702
PGS004908
324,805
1,696
323,109
null
null
European
null
UK
null
null
null
null
null
null
UKB
null
PSS011703
PGS004909
196
null
null
null
null
European
null
null
null
Participants were treatment seeking smokers. Using a nicotine metabolite ratio (NMR) cut-point of 0.31, individuals with slow nicotine metabolism were defined as having a NMR <0.31 whilst individuals with normal rates of nicotine metabolism were defined as having a NMR ≥0.31. Using a nicotine metabolite ratio (NMR) cut...
null
null
null
null
Q2L
null
PSS011704
PGS004910, PGS004911
343,182
366
342,816
null
null
European
null
UK
null
null
null
null
null
null
UKB
null
PSS011705
PGS004912
24,322
6,609
17,713
55.6
mean:62.07;sd:5.21;unit:years
European
null
U.S.
null
null
null
null
null
null
PLCO
null
PSS011706
PGS004912
2,344
672
1,672
46.72
mean:57.59;sd:8.47;unit:years
East Asian
Chinese
China
null
null
null
null
null
null
ZJCRC
null
PSS011707
PGS000004
110,869
2,716
108,153
0
null
European
null
UK
null
Cases are those of incident breast cancer. In UK Biobank, cancer diagnoses were ascertained through linkage to national cancer registries in England, Wales, and Scotland. Invasive breast cancer was coded using the 10th Revision of the International Classification of Diseases. Death was ascertained via linkage to death ...
null
null
null
null
UKB
null
PSS011708
PGS000004
35,457
706
34,751
0
null
European
null
UK
null
Cases are those of incident breast cancer. In UK Biobank, cancer diagnoses were ascertained through linkage to national cancer registries in England, Wales, and Scotland. Invasive breast cancer was coded using the 10th Revision of the International Classification of Diseases. Death was ascertained via linkage to death ...
null
null
null
null
UKB
null
PSS011709
PGS004913
3,360
121
3,239
null
null
European
null
US
null
null
null
null
null
null
IB-liver
null
PSS011710
PGS004913
3,709
470
3,239
null
null
European
null
US
null
null
null
null
null
null
IB-liver
null
PSS011711
PGS004913
9,448
467
8,981
null
null
European
null
UK
null
Cirrhosis cases were defined as having ICD10 code K70.3; “alcohol-associated cirrhosis of liver', or ICD-9 code 571.2, “Cirrhosis, liver, alcohol-associated or ICD10 code K70.1; “alcoholic hepatitis without ascites” or ICD-9 code 571.1, “acute alcoholic hepatitis.” Controls were defined as having (1) reported alcohol i...
null
null
null
null
UKB
null
PSS011712
PGS000740
1,123
558
565
43.5
null
African unspecified
null
null
null
null
null
null
null
null
INHALE
null
PSS011713
PGS000740
1,915
1,103
812
47.2
null
European
null
null
null
null
null
null
null
null
INHALE
null
PSS011714
PGS004914
357,202
null
null
46
mean:57.0;unit:years
European
British
UK
null
null
null
null
null
null
UKB
null
PSS011715
PGS004915
389,564
null
null
46
mean:57.0;unit:years
European
British
UK
null
null
null
null
null
null
UKB
null
PSS011716
PGS004914
407,558
29,600
377,958
46
mean:57.0;unit:years
European
British
UK
null
Infectious disease-related hospitalizations by International Classification of Diseases (ICD) version 10 diagnosis codes included: sepsis (ICD-10 codes: A021 Salmonella septicemia, A227 Antrhrax septicemia, A40 Streptococcal septicemia, A41 Other septicemia, B377 Candidal septicemia, O85 Puerperal sepsis, R651 Systemic...
null
null
null
null
UKB
null
PSS011717
PGS004916
389,971
null
null
46
mean:57.0;unit:years
European
British
UK
null
null
null
null
null
null
UKB
null
PSS011718
PGS004917
1,274
138
1,136
0
null
European, Not reported
null
USA
European (98%)
Those indicating having received a new systemic lupus erythematosus diagnosis were asked to complete the Connective Tissue Disease Screening Question- naire (12) and to consent to the release of their medical records. Released medical records of all nurses who indicated experi- encing systemic lupus erythematosus symp...
null
null
null
null
NHS|NHS2
null
PSS011718
PGS004917
2,671
535
2,136
9.7
null
European, Asian unspecified, African unspecified, Not reported
null
USA
European (68.1%), Asian (4.9%), African (14.2%), Not reported (12.8%)
All patients diagnosed as having systemic lupus erythematosus in the PHB and included in this study met at least 4 of the 11 ACR 1997 updated classification criteria for systemic lupus erythematosus . Cases were identified as those individuals previously included in the Brigham and Women's Hospital Lupus Registry or t...
null
null
null
null
PHB
null
PSS011719
PGS004918
136
56
80
39
null
European
null
null
null
Samples used in this study were extracted from autopsied brain tissue. Samples were taken from cognitively normal individuals witth a dementia rating of 0 (controls) and from late-onset Alzheimer's disease (LOAD) patients who had a clinical diagnosis of dementia due to AD and neuropathological confirmation of AD.
null
null
null
null
BfDR
null
PSS011720
PGS000011
23,594
17,254
6,340
38
mean:58.0;sd:7.7;unit:years
Not reported
null
Sweden
null
Cases are individuals that were hospitilized at least once for any cause.
mean:17.8;sd:4.4;unit:years
null
null
null
MDC
null
PSS011721
PGS000011
23,594
null
null
38
mean:58.0;sd:7.7;unit:years
Not reported
null
Sweden
null
Cases are individuals that were hospitilized at least once for a CVD event. The causes of hospitilization were classified according to ICD code as the main diagnosis at discharge. The most common causes of CVD hospitalizations were ischeamic heart disease (33%), stroke (23%), arterial fibrillation (15%) and congestive ...
mean:17.8;sd:4.4;unit:years
null
null
null
MDC
null
PSS011722
PGS000011
23,594
null
null
38
mean:58.0;sd:7.7;unit:years
Not reported
null
Sweden
null
null
null
null
null
null
MDC
null
PSS011723
PGS004252
327,124
6,238
320,886
48.1
mean:56.6;sd:8.03;unit:years
European
null
UK
null
null
null
null
null
null
UKB
null
PSS011724
PGS004920
193,819
3,832
189,987
null
null
European
null
U.K.
null
null
null
null
null
null
UKB
null
PSS011725
PGS002254
24,960
null
null
46.5
mean:59.1;sd:14.6;unit:years
European
null
null
null
null
null
null
null
null
HUNT
null
PSS011726
PGS002254
47,148
null
null
45.9
mean:52.9;sd:15.8;unit:years
European
null
null
null
null
null
null
null
null
HUNT
null
PSS011727
PGS004921
307,151
9,847
297,304
46.1
mean:57.4;sd:8.0;unit:years
European
null
UK
null
A participant was defined as a CAD case if he/she had at least one occurrence of International Classification of Diseases, 10th edition (ICD-10) codes I21-I25 (covering ischemic heart diseases) or at least one occurrence of the following codes in Office of Population Censuses and Surveys Classification of Interventions...
median:[0.0,8.4];unit:years
null
null
null
UKB
null
PSS011728
PGS004921
138,270
6,774
131,496
100
mean:57.6;sd:8.1;unit:years
European
null
UK
null
A participant was defined as a CAD case if he/she had at least one occurrence of International Classification of Diseases, 10th edition (ICD-10) codes I21-I25 (covering ischemic heart diseases) or at least one occurrence of the following codes in Office of Population Censuses and Surveys Classification of Interventions...
median:[0.0,8.4];unit:years
null
null
null
UKB
null
PSS011729
PGS004921
168,881
3,073
165,808
0
mean:57.2;sd:7.9;unit:years
European
null
UK
null
A participant was defined as a CAD case if he/she had at least one occurrence of International Classification of Diseases, 10th edition (ICD-10) codes I21-I25 (covering ischemic heart diseases) or at least one occurrence of the following codes in Office of Population Censuses and Surveys Classification of Interventions...
median:[0.0,8.4];unit:years
null
null
null
UKB
null
PSS011730
PGS004921
317,509
10,358
307,151
46.1
mean:57.4;sd:8.0;unit:years
European
null
UK
null
A participant was defined as a CAD case if he/she had at least one occurrence of International Classification of Diseases, 10th edition (ICD-10) codes I21-I25 (covering ischemic heart diseases) or at least one occurrence of the following codes in Office of Population Censuses and Surveys Classification of Interventions...
median:[0.0,8.4];unit:years
null
null
null
UKB
null
PSS011731
PGS004921
146,246
7,976
138,270
100
mean:57.6;sd:8.1;unit:years
European
null
UK
null
A participant was defined as a CAD case if he/she had at least one occurrence of International Classification of Diseases, 10th edition (ICD-10) codes I21-I25 (covering ischemic heart diseases) or at least one occurrence of the following codes in Office of Population Censuses and Surveys Classification of Interventions...
median:[0.0,8.4];unit:years
null
null
null
UKB
null
PSS011732
PGS004921
171,263
2,382
168,881
0
mean:57.2;sd:7.9;unit:years
European
null
UK
null
A participant was defined as a CAD case if he/she had at least one occurrence of International Classification of Diseases, 10th edition (ICD-10) codes I21-I25 (covering ischemic heart diseases) or at least one occurrence of the following codes in Office of Population Censuses and Surveys Classification of Interventions...
median:[0.0,8.4];unit:years
null
null
null
UKB
null
PSS011733
PGS004909, PGS004922
1,187
null
null
null
null
African American or Afro-Caribbean, Sub-Saharan African, European
null
null
African American or Afro-Caribbean and Sub-Saharan African = 954, European = 933
Participants were smokers.
null
null
null
null
PNAT2|KIS3
null
PSS011734
PGS004922
216
216
null
null
null
African unspecified
null
USA
null
Combination of heavy and light smokers.
null
null
null
null
Q2L
null
PSS011735
PGS000014, PGS000036, PGS000330, PGS000713, PGS000729, PGS000805, PGS000864, PGS000868, PGS001357, PGS001781, PGS001818, PGS002026, PGS002243, PGS002671, PGS002771, PGS002780, PGS003103, PGS003443, PGS003444, PGS003445, PGS003867, PGS004923
44,346
5,663
38,683
null
null
African unspecified
null
U.S.
Ancestry label assigned based on genetic similarity with 1000 Genomes reference panel superpopulations
T2D cases were ascertained based on a combination of hospital diagnosis codes, prescription medication, and lab results from blood tests occurring prior to baseline assessment. Participants were considered controls if they had no history of any diabetes diagnoses, T2D medication, or abnormal glucose or HbA1c lab result...
null
null
null
null
AllofUs
null
PSS011736
PGS000014, PGS000036, PGS000330, PGS000713, PGS000729, PGS000805, PGS000864, PGS000868, PGS001357, PGS001781, PGS001818, PGS002026, PGS002243, PGS002671, PGS002771, PGS002780, PGS003103, PGS003443, PGS003444, PGS003445, PGS003867, PGS004923
33,652
4,033
29,619
null
null
Hispanic or Latin American
null
U.S.
Ancestry label assigned based on genetic similarity with 1000 Genomes reference panel superpopulations
T2D cases were ascertained based on a combination of hospital diagnosis codes, prescription medication, and lab results from blood tests occurring prior to baseline assessment. Participants were considered controls if they had no history of any diabetes diagnoses, T2D medication, or abnormal glucose or HbA1c lab result...
null
null
null
null
AllofUs
null
PSS011737
PGS000014, PGS000036, PGS000330, PGS000713, PGS000729, PGS000805, PGS000864, PGS000868, PGS001357, PGS001781, PGS001818, PGS002026, PGS002243, PGS002671, PGS002771, PGS002780, PGS003103, PGS003443, PGS003444, PGS003445, PGS003867, PGS004923
109,021
10,069
98,952
null
null
European
null
U.S.
Ancestry label assigned based on genetic similarity with 1000 Genomes reference panel superpopulations
T2D cases were ascertained based on a combination of hospital diagnosis codes, prescription medication, and lab results from blood tests occurring prior to baseline assessment. Participants were considered controls if they had no history of any diabetes diagnoses, T2D medication, or abnormal glucose or HbA1c lab result...
null
null
null
null
AllofUs
null
PSS011738
PGS000014, PGS000036, PGS000330, PGS000713, PGS000729, PGS000805, PGS000864, PGS000868, PGS001357, PGS001781, PGS001818, PGS002026, PGS002243, PGS002671, PGS002771, PGS002780, PGS003103, PGS003443, PGS003444, PGS003445, PGS003867, PGS004923
38,941
726
38,215
null
null
European
null
U.K.
Ancestry label assigned based on genetic similarity with 1000 Genomes reference panel superpopulations
T2D was defined using ICD-10 codes E10-E14, G59.0, G63.2, H28.0, H36.0, M14.2, N08.3, or O24.0-O24.3. Participants with any diabetes history were excluded from analysis. Incident diabetes events were treated as incident T2D
null
null
null
null
INTERVAL
null
PSS011739
PGS000014, PGS000036, PGS000330, PGS000713, PGS000729, PGS000805, PGS000864, PGS000868, PGS001357, PGS001781, PGS001818, PGS002026, PGS002243, PGS002671, PGS002771, PGS002780, PGS003103, PGS003443, PGS003444, PGS003445, PGS003867, PGS004923
870
187
683
null
null
South East Asian
Malay Singaporean
Singapore
Ancestry label assigned based on Malay being the majority reported ethnicity within the genetic cluster
Incident T2D was ascertained through a combination of linkage to national healthcare records, self-reported medical history at follow-up assessment (either diagnosis from a primary care physician or current diabetes medication usage), or with blood biomarker concentrations indicative of diabetes following the American ...
null
null
null
null
SingaporeMEC
null
PSS011740
PGS000014, PGS000036, PGS000330, PGS000713, PGS000729, PGS000805, PGS000864, PGS000868, PGS001357, PGS001781, PGS001818, PGS002026, PGS002243, PGS002671, PGS002771, PGS002780, PGS003103, PGS003443, PGS003444, PGS003445, PGS003867, PGS004923
1,149
205
944
null
null
East Asian
Chinese Singaporean
Singapore
Ancestry label assigned based on genetic similarity with 1000 Genomes reference panel superpopulations
Incident T2D was ascertained through a combination of linkage to national healthcare records, self-reported medical history at follow-up assessment (either diagnosis from a primary care physician or current diabetes medication usage), or with blood biomarker concentrations indicative of diabetes following the American ...
null
null
null
null
SingaporeMEC
null
PSS011741
PGS000014, PGS000036, PGS000330, PGS000713, PGS000729, PGS000805, PGS000864, PGS000868, PGS001357, PGS001781, PGS001818, PGS002026, PGS002243, PGS002671, PGS002771, PGS002780, PGS003103, PGS003443, PGS003444, PGS003445, PGS003867, PGS004923
852
194
658
null
null
South Asian
Indian Singaporean
Singapore
Ancestry label assigned based on genetic similarity with 1000 Genomes reference panel superpopulations
Incident T2D was ascertained through a combination of linkage to national healthcare records, self-reported medical history at follow-up assessment (either diagnosis from a primary care physician or current diabetes medication usage), or with blood biomarker concentrations indicative of diabetes following the American ...
null
null
null
null
SingaporeMEC
null
PSS011742
PGS000014, PGS000036, PGS000330, PGS000713, PGS000729, PGS000805, PGS000864, PGS000868, PGS001357, PGS001781, PGS001818, PGS002026, PGS002243, PGS002671, PGS002771, PGS002780, PGS003103, PGS003443, PGS003444, PGS003445, PGS004923
6,019
395
5,624
null
null
African unspecified
null
U.K.
Ancestry label assigned based on genetic similarity with 1000 Genomes reference panel superpopulations
Prevalent T2D status at baseline was adjudicated from a combination of retrospective hospital episode records, self-reported history of diabetes, and baseline medication using the Eastwood et al. algorithms. Incident T2D cases were ascertained following the Eastwood et al. algorithms on the basis of ICD-10 diagnosis co...
null
null
null
null
UKB
null
PSS011743
PGS000014, PGS000036, PGS000330, PGS000713, PGS000729, PGS000805, PGS000864, PGS000868, PGS001357, PGS001781, PGS001818, PGS002026, PGS002243, PGS002671, PGS002771, PGS002780, PGS003103, PGS003443, PGS003444, PGS003445, PGS004923
6,871
766
6,105
null
null
African unspecified
null
U.K.
Ancestry label assigned based on genetic similarity with 1000 Genomes reference panel superpopulations
Prevalent T2D status at baseline was adjudicated from a combination of retrospective hospital episode records, self-reported history of diabetes, and baseline medication using the Eastwood et al. algorithms. Incident T2D cases were ascertained following the Eastwood et al. algorithms on the basis of ICD-10 diagnosis co...
null
null
null
null
UKB
null
PSS011744
PGS000014, PGS000036, PGS000330, PGS000713, PGS000729, PGS000805, PGS000864, PGS000868, PGS001357, PGS001781, PGS001818, PGS002026, PGS002243, PGS002671, PGS002771, PGS002780, PGS003103, PGS003443, PGS003444, PGS003445, PGS004923
1,350
37
1,313
null
null
East Asian
null
U.K.
Ancestry label assigned based on genetic similarity with 1000 Genomes reference panel superpopulations
Prevalent T2D status at baseline was adjudicated from a combination of retrospective hospital episode records, self-reported history of diabetes, and baseline medication using the Eastwood et al. algorithms. Incident T2D cases were ascertained following the Eastwood et al. algorithms on the basis of ICD-10 diagnosis co...
null
null
null
null
UKB
null
PSS011745
PGS000014, PGS000036, PGS000330, PGS000713, PGS000729, PGS000805, PGS000864, PGS000868, PGS001357, PGS001781, PGS001818, PGS002026, PGS002243, PGS002671, PGS002771, PGS002780, PGS003103, PGS003443, PGS003444, PGS003445, PGS004923
1,432
76
1,356
null
null
East Asian
null
U.K.
Ancestry label assigned based on genetic similarity with 1000 Genomes reference panel superpopulations
Prevalent T2D status at baseline was adjudicated from a combination of retrospective hospital episode records, self-reported history of diabetes, and baseline medication using the Eastwood et al. algorithms. Incident T2D cases were ascertained following the Eastwood et al. algorithms on the basis of ICD-10 diagnosis co...
null
null
null
null
UKB
null
PSS011746
PGS000014, PGS000036, PGS001357, PGS001781, PGS002243, PGS004923
232,808
6,016
226,792
null
null
European
null
U.K.
Ancestry label assigned based on genetic similarity with 1000 Genomes reference panel superpopulations
Prevalent T2D status at baseline was adjudicated from a combination of retrospective hospital episode records, self-reported history of diabetes, and baseline medication using the Eastwood et al. algorithms. Incident T2D cases were ascertained following the Eastwood et al. algorithms on the basis of ICD-10 diagnosis co...
null
null
null
null
UKB
null
PSS011747
PGS000014, PGS000036, PGS001357, PGS001781, PGS002243, PGS004923
245,177
11,080
234,097
null
null
European
null
U.K.
Ancestry label assigned based on genetic similarity with 1000 Genomes reference panel superpopulations
Prevalent T2D status at baseline was adjudicated from a combination of retrospective hospital episode records, self-reported history of diabetes, and baseline medication using the Eastwood et al. algorithms. Incident T2D cases were ascertained following the Eastwood et al. algorithms on the basis of ICD-10 diagnosis co...
null
null
null
null
UKB
null
PSS011748
PGS000014, PGS000036, PGS000330, PGS000713, PGS000729, PGS000805, PGS000864, PGS000868, PGS001357, PGS001781, PGS001818, PGS002026, PGS002243, PGS002671, PGS002771, PGS002780, PGS003103, PGS003443, PGS003444, PGS003445, PGS004923
5,685
513
5,172
null
null
South Asian
null
U.K.
Ancestry label assigned based on genetic similarity with 1000 Genomes reference panel superpopulations
Prevalent T2D status at baseline was adjudicated from a combination of retrospective hospital episode records, self-reported history of diabetes, and baseline medication using the Eastwood et al. algorithms. Incident T2D cases were ascertained following the Eastwood et al. algorithms on the basis of ICD-10 diagnosis co...
null
null
null
null
UKB
null
PSS011749
PGS000014, PGS000036, PGS000330, PGS000713, PGS000729, PGS000805, PGS000864, PGS000868, PGS001357, PGS001781, PGS001818, PGS002026, PGS002243, PGS002671, PGS002771, PGS002780, PGS003103, PGS003443, PGS003444, PGS003445, PGS004923
6,992
1,253
5,739
null
null
South Asian
null
U.K.
Ancestry label assigned based on genetic similarity with 1000 Genomes reference panel superpopulations
Prevalent T2D status at baseline was adjudicated from a combination of retrospective hospital episode records, self-reported history of diabetes, and baseline medication using the Eastwood et al. algorithms. Incident T2D cases were ascertained following the Eastwood et al. algorithms on the basis of ICD-10 diagnosis co...
null
null
null
null
UKB
null
PSS011750
PGS004924
3,482
72
3,410
0
null
European, African unspecified, Not reported
null
U.S.
null
null
null
null
null
null
SISTER
null
PSS011751
PGS004924
3,482
456
3,026
0
null
European, African unspecified, Not reported
null
U.S.
null
null
null
null
null
null
SISTER
null
PSS011752
PGS002262
39,164
null
null
42.4
mean:53.9;sd:10.5;unit:years
East Asian
Chinese
China
null
null
median:11.6;unit:years
null
null
null
CIMIC|InterASIA|ChinaMUCA-1998
null
PSS011753
PGS000662
3,368
1,162
2,206
100
null
European
null
U.S.
null
null
null
null
null
null
AHS
null
PSS011754
PGS000662
2,794
588
2,206
100
null
European
null
U.S.
null
null
null
null
null
null
AHS
null
PSS011755
PGS004925
77,500
null
null
43.2
mean:56.3;sd:7.7;unit:years
European
British
U.K.
null
null
null
null
null
null
UKB
null
PSS011756
PGS004926
2,654
null
null
null
null
European
null
U.K.
null
null
null
null
null
null
TwinsUK
Lower back pain prevalence = 28%
PSS011757
PGS004926
120,217
21,543
98,674
null
null
European
null
U.K.
null
null
null
null
null
null
UKB
Chronic back pain prevalence = 18%
PSS011758
PGS002262
34,111
null
null
41.8
mean:52.3;sd:10.5;unit:years
East Asian
Chinese
China
null
null
median:11.7;unit:years
null
null
null
CIMIC|InterASIA|ChinaMUCA-1998
null
PSS011759
PGS004927
4,394
null
null
48
mean:65.0;unit:years
European
null
U.K.
null
null
null
null
null
null
UKB
UK Biobank imaging participants, validation set
PSS011760
PGS004928
62,314
10,684
51,630
null
null
East Asian
Korean
South Korea
null
We used criteria defined by AHA/NHLBI was used to define MetS for individuals in KoGES. The criteria are as follows: elevated waist circumference (Asian with WCmen ≥90 cm and WCwomen ≥80 cm, elevated TG (TG ≥150 mg/dL), sex-specific reduced HDL-C (HDL-Cmen <40 mg/dL and HDL-Cwomen <50 mg/dL), elevated blood pressure (s...
null
null
null
null
KoGES
null
PSS011761
PGS004928
11,139
4,641
6,498
null
null
European
null
United Kingdom
null
We assigned the dichotomous MetS status based on AHA/NHLBI that consists of five criteria as follows: population- and sex-specific elevated waist circumference (WC, European with WCmen ≥102 cm and WCwomen ≥88 cm), elevated triglycerides (TG, TG ≥150 mg/dL), sex-specific reduced high-density lipoprotein cholesterol (HDL...
null
null
null
null
UKB
null
PSS011762
PGS000023, PGS000882, PGS002066, PGS003103, PGS003446, PGS004929, PGS004930, PGS004931, PGS004932, PGS004933, PGS004934, PGS004935, PGS004936, PGS004937
8,417
null
null
null
null
European
null
USA
null
null
null
null
null
null
BBofA
null
PSS011763
PGS004938
7,124
724
6,400
null
null
European
null
Russian Federation
null
Very severe respiratory confirmed covid vs. not severe respiratory confirmed covid
null
null
null
null
Genotek
null
PSS011772
PGS004941
72,149
null
null
40.2
mean:51.7;sd:10.5;unit:years
East Asian
Chinese
China
null
Including death resulting from ischemic heart disease [ICD10: I20-I25], nonfatal myocardial infarction [ICD10: I21-I23], and coronary revascularization
median:12.2;unit:years
null
null
null
CKB
null
PSS011773
PGS004943
72,149
null
null
40.2
mean:51.7;sd:10.5;unit:years
East Asian
Chinese
China
null
ICD10: I61
median:12.2;unit:years
null
null
null
CKB
null
PSS011774
PGS004942
72,149
null
null
40.2
mean:51.7;sd:10.5;unit:years
East Asian
Chinese
China
null
ICD10: I63
median:12.2;unit:years
null
null
null
CKB
null
PSS011775
PGS000018
190,489
null
null
null
null
European
null
UK
null
null
null
null
null
null
UKB
null