PGS Publication: PGP000604

Publication Information (EuropePMC)
Title Integrative polygenic risk score improves the prediction accuracy of complex traits and diseases.
PubMed ID 38508198(Europe PMC)
doi 10.1016/j.xgen.2024.100523
Publication Date March 12, 2024
Journal Cell Genom
Author(s) Truong B, Hull LE, Ruan Y, Huang QQ, Hornsby W, Martin H, van Heel DA, Wang Y, Martin AR, Lee SH, Natarajan P.
Released in PGS Catalog: March 28, 2024

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:
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Additional Diverse Ancestries
Not Reported

PGS Developed By This Publication

Polygenic Score ID & Name PGS Publication ID (PGP) Reported Trait Mapped Trait(s) (Ontology) Number of Variants Ancestry distribution Scoring File (FTP Link)
PGS004725
(asthma_PRSmixPlus_eur)
PGP000604 |
Truong B et al. Cell Genom (2024)
Asthma asthma 3,972,232
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004725/ScoringFiles/PGS004725.txt.gz
PGS004724
(asthma_PRSmix_sas)
PGP000604 |
Truong B et al. Cell Genom (2024)
Asthma asthma 2,342,250
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004724/ScoringFiles/PGS004724.txt.gz
PGS004723
(asthma_PRSmix_eur)
PGP000604 |
Truong B et al. Cell Genom (2024)
Asthma asthma 985,316
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004723/ScoringFiles/PGS004723.txt.gz
PGS004722
(AST_PRSmixPlus_sas)
PGP000604 |
Truong B et al. Cell Genom (2024)
Aspartate aminotransferase level aspartate aminotransferase measurement 868,009
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004722/ScoringFiles/PGS004722.txt.gz
PGS004804
(Monocytes_PRSmixPlus_sas)
PGP000604 |
Truong B et al. Cell Genom (2024)
Monocyte count monocyte count 2,743,298
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004804/ScoringFiles/PGS004804.txt.gz
PGS004721
(AST_PRSmixPlus_eur)
PGP000604 |
Truong B et al. Cell Genom (2024)
Aspartate aminotransferase level aspartate aminotransferase measurement 1,196,185
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004721/ScoringFiles/PGS004721.txt.gz
PGS004805
(Neutrophils_PRSmix_eur)
PGP000604 |
Truong B et al. Cell Genom (2024)
Neutrophil count neutrophil count 595,488
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004805/ScoringFiles/PGS004805.txt.gz
PGS004719
(AST_PRSmix_eur)
PGP000604 |
Truong B et al. Cell Genom (2024)
Aspartate aminotransferase level aspartate aminotransferase measurement 519,241
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004719/ScoringFiles/PGS004719.txt.gz
PGS004755
(dbp_PRSmix_eur)
PGP000604 |
Truong B et al. Cell Genom (2024)
Diastolic blood pressure diastolic blood pressure 1,172,953
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004755/ScoringFiles/PGS004755.txt.gz
PGS004718
(ALT_PRSmixPlus_sas)
PGP000604 |
Truong B et al. Cell Genom (2024)
Alanine aminotransferase serum alanine aminotransferase measurement 2,283,693
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004718/ScoringFiles/PGS004718.txt.gz
PGS004717
(ALT_PRSmixPlus_eur)
PGP000604 |
Truong B et al. Cell Genom (2024)
Alanine aminotransferase serum alanine aminotransferase measurement 1,051,633
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004717/ScoringFiles/PGS004717.txt.gz
PGS004716
(ALT_PRSmix_sas)
PGP000604 |
Truong B et al. Cell Genom (2024)
Alanine aminotransferase serum alanine aminotransferase measurement 2,283,693
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004716/ScoringFiles/PGS004716.txt.gz
PGS004715
(ALT_PRSmix_eur)
PGP000604 |
Truong B et al. Cell Genom (2024)
Alanine aminotransferase serum alanine aminotransferase measurement 559,731
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004715/ScoringFiles/PGS004715.txt.gz
PGS004714
(ALP_PRSmixPlus_sas)
PGP000604 |
Truong B et al. Cell Genom (2024)
Alkaline phosphatase alkaline phosphatase measurement 1,704,295
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004714/ScoringFiles/PGS004714.txt.gz
PGS004806
(Neutrophils_PRSmix_sas)
PGP000604 |
Truong B et al. Cell Genom (2024)
Neutrophil count neutrophil count 4,190,918
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004806/ScoringFiles/PGS004806.txt.gz
PGS004807
(Neutrophils_PRSmixPlus_eur)
PGP000604 |
Truong B et al. Cell Genom (2024)
Neutrophil count neutrophil count 3,498,605
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004807/ScoringFiles/PGS004807.txt.gz
PGS004829
(sbp_PRSmix_eur)
PGP000604 |
Truong B et al. Cell Genom (2024)
Systolic blood pressure systolic blood pressure 1,194,211
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004829/ScoringFiles/PGS004829.txt.gz
PGS004753
(current_smoker_PRSmixPlus_eur)
PGP000604 |
Truong B et al. Cell Genom (2024)
Current smoker smoking status measurement 5,469,505
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004753/ScoringFiles/PGS004753.txt.gz
PGS004754
(current_smoker_PRSmixPlus_sas)
PGP000604 |
Truong B et al. Cell Genom (2024)
Current smoker smoking status measurement 4,496,606
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004754/ScoringFiles/PGS004754.txt.gz
PGS004756
(dbp_PRSmix_sas)
PGP000604 |
Truong B et al. Cell Genom (2024)
Diastolic blood pressure diastolic blood pressure 2,906,802
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004756/ScoringFiles/PGS004756.txt.gz
PGS004757
(dbp_PRSmixPlus_eur)
PGP000604 |
Truong B et al. Cell Genom (2024)
Diastolic blood pressure diastolic blood pressure 4,215,048
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004757/ScoringFiles/PGS004757.txt.gz
PGS004758
(dbp_PRSmixPlus_sas)
PGP000604 |
Truong B et al. Cell Genom (2024)
Diastolic blood pressure diastolic blood pressure 4,139,034
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004758/ScoringFiles/PGS004758.txt.gz
PGS004713
(ALP_PRSmixPlus_eur)
PGP000604 |
Truong B et al. Cell Genom (2024)
Alkaline phosphatase alkaline phosphatase measurement 4,268,599
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004713/ScoringFiles/PGS004713.txt.gz
PGS004712
(ALP_PRSmix_sas)
PGP000604 |
Truong B et al. Cell Genom (2024)
Alkaline phosphatase alkaline phosphatase measurement 1,704,295
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004712/ScoringFiles/PGS004712.txt.gz
PGS004711
(ALP_PRSmix_eur)
PGP000604 |
Truong B et al. Cell Genom (2024)
Alkaline phosphatase alkaline phosphatase measurement 634,277
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004711/ScoringFiles/PGS004711.txt.gz
PGS004710
(Albumin_PRSmixPlus_sas)
PGP000604 |
Truong B et al. Cell Genom (2024)
Albumin serum albumin measurement 2,071,924
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004710/ScoringFiles/PGS004710.txt.gz
PGS004709
(Albumin_PRSmixPlus_eur)
PGP000604 |
Truong B et al. Cell Genom (2024)
Albumin serum albumin measurement 2,659,200
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004709/ScoringFiles/PGS004709.txt.gz
PGS004708
(Albumin_PRSmix_sas)
PGP000604 |
Truong B et al. Cell Genom (2024)
Albumin serum albumin measurement 2,071,924
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004708/ScoringFiles/PGS004708.txt.gz
PGS004707
(Albumin_PRSmix_eur)
PGP000604 |
Truong B et al. Cell Genom (2024)
Albumin serum albumin measurement 589,303
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004707/ScoringFiles/PGS004707.txt.gz
PGS004706
(afib_PRSmixPlus_eur)
PGP000604 |
Truong B et al. Cell Genom (2024)
Atrial Fibrillation atrial fibrillation 3,576,958
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004706/ScoringFiles/PGS004706.txt.gz
PGS004705
(afib_PRSmix_eur)
PGP000604 |
Truong B et al. Cell Genom (2024)
Atrial Fibrillation atrial fibrillation 3,575,124
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004705/ScoringFiles/PGS004705.txt.gz
PGS004703
(a1c_PRSmixPlus_eur)
PGP000604 |
Truong B et al. Cell Genom (2024)
HbA1c HbA1c measurement 3,872,159
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004703/ScoringFiles/PGS004703.txt.gz
PGS004704
(a1c_PRSmixPlus_sas)
PGP000604 |
Truong B et al. Cell Genom (2024)
HbA1c HbA1c measurement 6,652,699
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004704/ScoringFiles/PGS004704.txt.gz
PGS004702
(a1c_PRSmix_sas)
PGP000604 |
Truong B et al. Cell Genom (2024)
HbA1c HbA1c measurement 6,652,699
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004702/ScoringFiles/PGS004702.txt.gz
PGS004759
(depression_PRSmix_eur)
PGP000604 |
Truong B et al. Cell Genom (2024)
Depression unipolar depression 1,538,576
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004759/ScoringFiles/PGS004759.txt.gz
PGS004760
(depression_PRSmixPlus_eur)
PGP000604 |
Truong B et al. Cell Genom (2024)
Depression unipolar depression 2,141,267
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004760/ScoringFiles/PGS004760.txt.gz
PGS004761
(Eosinophils_PRSmix_eur)
PGP000604 |
Truong B et al. Cell Genom (2024)
Eosinophil count eosinophil count 1,086,541
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004761/ScoringFiles/PGS004761.txt.gz
PGS004762
(Eosinophils_PRSmix_sas)
PGP000604 |
Truong B et al. Cell Genom (2024)
Eosinophil count eosinophil count 4,143,233
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004762/ScoringFiles/PGS004762.txt.gz
PGS004763
(Eosinophils_PRSmixPlus_eur)
PGP000604 |
Truong B et al. Cell Genom (2024)
Eosinophil count eosinophil count 3,749,971
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004763/ScoringFiles/PGS004763.txt.gz
PGS004764
(Eosinophils_PRSmixPlus_sas)
PGP000604 |
Truong B et al. Cell Genom (2024)
Eosinophil count eosinophil count 1,698,846
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004764/ScoringFiles/PGS004764.txt.gz
PGS004765
(glaucoma_PRSmix_eur)
PGP000604 |
Truong B et al. Cell Genom (2024)
Glaucoma glaucoma 835,476
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004765/ScoringFiles/PGS004765.txt.gz
PGS004766
(glaucoma_PRSmixPlus_eur)
PGP000604 |
Truong B et al. Cell Genom (2024)
Glaucoma glaucoma 837,948
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004766/ScoringFiles/PGS004766.txt.gz
PGS004767
(gout_PRSmix_eur)
PGP000604 |
Truong B et al. Cell Genom (2024)
Gout gout 908,271
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004767/ScoringFiles/PGS004767.txt.gz
PGS004768
(gout_PRSmixPlus_eur)
PGP000604 |
Truong B et al. Cell Genom (2024)
Gout gout 1,580,311
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004768/ScoringFiles/PGS004768.txt.gz
PGS004769
(Hb_PRSmix_eur)
PGP000604 |
Truong B et al. Cell Genom (2024)
Hemoglobin hemoglobin measurement 584,676
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004769/ScoringFiles/PGS004769.txt.gz
PGS004770
(Hb_PRSmixPlus_eur)
PGP000604 |
Truong B et al. Cell Genom (2024)
Hemoglobin hemoglobin measurement 3,913,042
-
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004770/ScoringFiles/PGS004770.txt.gz
PGS004771
(Hct_PRSmix_eur)
PGP000604 |
Truong B et al. Cell Genom (2024)
Hematocrit hematocrit 594,293
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004771/ScoringFiles/PGS004771.txt.gz
PGS004772
(hct_PRSmix_sas)
PGP000604 |
Truong B et al. Cell Genom (2024)
Hematocrit hematocrit 1,259,662
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004772/ScoringFiles/PGS004772.txt.gz
PGS004782
(height_PRSmixPlus_sas)
PGP000604 |
Truong B et al. Cell Genom (2024)
Height body height 1,612,712
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004782/ScoringFiles/PGS004782.txt.gz
PGS004773
(Hct_PRSmixPlus_eur)
PGP000604 |
Truong B et al. Cell Genom (2024)
Hematocrit hematocrit 1,176,938
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004773/ScoringFiles/PGS004773.txt.gz
PGS004774
(hct_PRSmixPlus_sas)
PGP000604 |
Truong B et al. Cell Genom (2024)
Hematocrit hematocrit 1,259,662
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004774/ScoringFiles/PGS004774.txt.gz
PGS004775
(hdl_PRSmix_eur)
PGP000604 |
Truong B et al. Cell Genom (2024)
HDL cholesterol high density lipoprotein cholesterol measurement 1,120,830
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004775/ScoringFiles/PGS004775.txt.gz
PGS004776
(hdl_PRSmix_sas)
PGP000604 |
Truong B et al. Cell Genom (2024)
HDL cholesterol high density lipoprotein cholesterol measurement 6,463,324
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004776/ScoringFiles/PGS004776.txt.gz
PGS004777
(hdl_PRSmixPlus_eur)
PGP000604 |
Truong B et al. Cell Genom (2024)
HDL cholesterol high density lipoprotein cholesterol measurement 4,547,847
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004777/ScoringFiles/PGS004777.txt.gz
PGS004778
(hdl_PRSmixPlus_sas)
PGP000604 |
Truong B et al. Cell Genom (2024)
HDL cholesterol high density lipoprotein cholesterol measurement 6,463,324
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004778/ScoringFiles/PGS004778.txt.gz
PGS004779
(height_PRSmix_eur)
PGP000604 |
Truong B et al. Cell Genom (2024)
Height body height 1,357,287
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004779/ScoringFiles/PGS004779.txt.gz
PGS004780
(height_PRSmix_sas)
PGP000604 |
Truong B et al. Cell Genom (2024)
Height body height 5,967,476
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004780/ScoringFiles/PGS004780.txt.gz
PGS004781
(height_PRSmixPlus_eur)
PGP000604 |
Truong B et al. Cell Genom (2024)
Height body height 3,220,389
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004781/ScoringFiles/PGS004781.txt.gz
PGS004783
(HLD_PRSmix_eur)
PGP000604 |
Truong B et al. Cell Genom (2024)
Hypercholesterolemia Hypercholesterolemia 975,107
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004783/ScoringFiles/PGS004783.txt.gz
PGS004784
(HLD_PRSmixPlus_eur)
PGP000604 |
Truong B et al. Cell Genom (2024)
Hypercholesterolemia Hypercholesterolemia 3,948,507
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004784/ScoringFiles/PGS004784.txt.gz
PGS004785
(HTN_PRSmix_eur)
PGP000604 |
Truong B et al. Cell Genom (2024)
Hypertension hypertension 1,170,615
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004785/ScoringFiles/PGS004785.txt.gz
PGS004786
(HTN_PRSmix_sas)
PGP000604 |
Truong B et al. Cell Genom (2024)
Hypertension hypertension 6,622,611
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004786/ScoringFiles/PGS004786.txt.gz
PGS004787
(HTN_PRSmixPlus_eur)
PGP000604 |
Truong B et al. Cell Genom (2024)
Hypertension hypertension 5,191,115
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004787/ScoringFiles/PGS004787.txt.gz
PGS004788
(HTN_PRSmixPlus_sas)
PGP000604 |
Truong B et al. Cell Genom (2024)
Hypertension hypertension 6,622,611
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004788/ScoringFiles/PGS004788.txt.gz
PGS004789
(hypothyroid_PRSmix_eur)
PGP000604 |
Truong B et al. Cell Genom (2024)
Hypothyroidism hypothyroidism 1,109,333
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004789/ScoringFiles/PGS004789.txt.gz
PGS004820
(RA_PRSmixPlus_sas)
PGP000604 |
Truong B et al. Cell Genom (2024)
Rheumatoid Arthritis rheumatoid arthritis 6,580,837
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004820/ScoringFiles/PGS004820.txt.gz
PGS004790
(hypothyroid_PRSmixPlus_eur)
PGP000604 |
Truong B et al. Cell Genom (2024)
Hypothyroidism hypothyroidism 1,841,655
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004790/ScoringFiles/PGS004790.txt.gz
PGS004791
(ldl_PRSmix_eur)
PGP000604 |
Truong B et al. Cell Genom (2024)
LDL cholesterol low density lipoprotein cholesterol measurement 1,098,797
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004791/ScoringFiles/PGS004791.txt.gz
PGS004792
(ldl_PRSmix_sas)
PGP000604 |
Truong B et al. Cell Genom (2024)
LDL cholesterol low density lipoprotein cholesterol measurement 6,580,710
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004792/ScoringFiles/PGS004792.txt.gz
PGS004793
(ldl_PRSmixPlus_eur)
PGP000604 |
Truong B et al. Cell Genom (2024)
LDL cholesterol low density lipoprotein cholesterol measurement 3,946,021
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004793/ScoringFiles/PGS004793.txt.gz
PGS004794
(ldl_PRSmixPlus_sas)
PGP000604 |
Truong B et al. Cell Genom (2024)
LDL cholesterol low density lipoprotein cholesterol measurement 6,433,913
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004794/ScoringFiles/PGS004794.txt.gz
PGS004795
(Melanoma_PRSmix_eur)
PGP000604 |
Truong B et al. Cell Genom (2024)
Melanoma melanoma 796,939
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004795/ScoringFiles/PGS004795.txt.gz
PGS004796
(Melanoma_PRSmixPlus_eur)
PGP000604 |
Truong B et al. Cell Genom (2024)
Melanoma melanoma 988,379
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004796/ScoringFiles/PGS004796.txt.gz
PGS004797
(migraine_PRSmix_eur)
PGP000604 |
Truong B et al. Cell Genom (2024)
Migraine migraine disorder 23
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004797/ScoringFiles/PGS004797.txt.gz
PGS004798
(migraine_PRSmix_sas)
PGP000604 |
Truong B et al. Cell Genom (2024)
Migraine migraine disorder 3,984,158
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004798/ScoringFiles/PGS004798.txt.gz
PGS004799
(migraine_PRSmixPlus_eur)
PGP000604 |
Truong B et al. Cell Genom (2024)
Migraine migraine disorder 4,319,950
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004799/ScoringFiles/PGS004799.txt.gz
PGS004800
(migraine_PRSmixPlus_sas)
PGP000604 |
Truong B et al. Cell Genom (2024)
Migraine migraine disorder 2,968,987
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004800/ScoringFiles/PGS004800.txt.gz
PGS004801
(Monocytes_PRSmix_eur)
PGP000604 |
Truong B et al. Cell Genom (2024)
Monocyte count monocyte count 1,099,478
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004801/ScoringFiles/PGS004801.txt.gz
PGS004727
(Basophils_PRSmix_eur)
PGP000604 |
Truong B et al. Cell Genom (2024)
Basophil count basophil count 6,503
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004727/ScoringFiles/PGS004727.txt.gz
PGS004741
(BUN_PRSmixPlus_eur)
PGP000604 |
Truong B et al. Cell Genom (2024)
Urea urea measurement 1,178,386
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004741/ScoringFiles/PGS004741.txt.gz
PGS004739
(BUN_PRSmix_eur)
PGP000604 |
Truong B et al. Cell Genom (2024)
Urea urea measurement 587,237
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004739/ScoringFiles/PGS004739.txt.gz
PGS004802
(Monocytes_PRSmix_sas)
PGP000604 |
Truong B et al. Cell Genom (2024)
Monocyte count monocyte count 2,743,298
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004802/ScoringFiles/PGS004802.txt.gz
PGS004803
(Monocytes_PRSmixPlus_eur)
PGP000604 |
Truong B et al. Cell Genom (2024)
Monocyte count monocyte count 3,020,361
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004803/ScoringFiles/PGS004803.txt.gz
PGS004738
(breast_cancer_PRSmixPlus_eur)
PGP000604 |
Truong B et al. Cell Genom (2024)
Breast cancer breast carcinoma 3,666,321
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004738/ScoringFiles/PGS004738.txt.gz
PGS004737
(breast_cancer_PRSmix_eur)
PGP000604 |
Truong B et al. Cell Genom (2024)
Breast cancer breast carcinoma 3,666,245
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004737/ScoringFiles/PGS004737.txt.gz
PGS004736
(bmi_PRSmixPlus_sas)
PGP000604 |
Truong B et al. Cell Genom (2024)
Body mass index (BMI) body mass index 4,081,121
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004736/ScoringFiles/PGS004736.txt.gz
PGS004742
(BUN_PRSmixPlus_sas)
PGP000604 |
Truong B et al. Cell Genom (2024)
Urea urea measurement 1,499,858
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004742/ScoringFiles/PGS004742.txt.gz
PGS004733
(bmi_PRSmix_eur)
PGP000604 |
Truong B et al. Cell Genom (2024)
Body mass index (BMI) body mass index 1,915,187
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004733/ScoringFiles/PGS004733.txt.gz
PGS004732
(Bilirubin_PRSmixPlus_eur)
PGP000604 |
Truong B et al. Cell Genom (2024)
Total bilirubin bilirubin measurement 3,030,080
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004732/ScoringFiles/PGS004732.txt.gz
PGS004731
(Bilirubin_PRSmix_eur)
PGP000604 |
Truong B et al. Cell Genom (2024)
Total bilirubin bilirubin measurement 96,003
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004731/ScoringFiles/PGS004731.txt.gz
PGS004730
(Basophils_PRSmixPlus_sas)
PGP000604 |
Truong B et al. Cell Genom (2024)
Basophil count basophil count 6,132,012
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004730/ScoringFiles/PGS004730.txt.gz
PGS004818
(RA_PRSmix_sas)
PGP000604 |
Truong B et al. Cell Genom (2024)
Rheumatoid Arthritis rheumatoid arthritis 6,580,837
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004818/ScoringFiles/PGS004818.txt.gz
PGS004729
(Basophils_PRSmixPlus_eur)
PGP000604 |
Truong B et al. Cell Genom (2024)
Basophil count basophil count 1,538,675
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004729/ScoringFiles/PGS004729.txt.gz
PGS004728
(Basophils_PRSmix_sas)
PGP000604 |
Truong B et al. Cell Genom (2024)
Basophil count basophil count 6,132,012
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004728/ScoringFiles/PGS004728.txt.gz
PGS004726
(asthma_PRSmixPlus_sas)
PGP000604 |
Truong B et al. Cell Genom (2024)
Asthma asthma 2,342,250
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004726/ScoringFiles/PGS004726.txt.gz
PGS004740
(BUN_PRSmix_sas)
PGP000604 |
Truong B et al. Cell Genom (2024)
Urea urea measurement 1,499,858
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004740/ScoringFiles/PGS004740.txt.gz
PGS004743
(cad_PRSmix_eur)
PGP000604 |
Truong B et al. Cell Genom (2024)
Coronary artery disease coronary artery disease 3,606,321
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004743/ScoringFiles/PGS004743.txt.gz
PGS004745
(cad_PRSmixPlus_eur)
PGP000604 |
Truong B et al. Cell Genom (2024)
Coronary artery disease coronary artery disease 4,769,577
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004745/ScoringFiles/PGS004745.txt.gz
PGS004746
(cad_PRSmixPlus_sas)
PGP000604 |
Truong B et al. Cell Genom (2024)
Coronary artery disease coronary artery disease 6,483,064
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004746/ScoringFiles/PGS004746.txt.gz
PGS004748
(creatinine_PRSmix_sas)
PGP000604 |
Truong B et al. Cell Genom (2024)
Serum creatinine creatinine measurement 2,653,053
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004748/ScoringFiles/PGS004748.txt.gz
PGS004749
(creatinine_PRSmixPlus_eur)
PGP000604 |
Truong B et al. Cell Genom (2024)
Serum creatinine creatinine measurement 1,469,062
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004749/ScoringFiles/PGS004749.txt.gz
PGS004750
(creatinine_PRSmixPlus_sas)
PGP000604 |
Truong B et al. Cell Genom (2024)
Serum creatinine creatinine measurement 2,653,053
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004750/ScoringFiles/PGS004750.txt.gz
PGS004752
(current_smoker_PRSmix_sas)
PGP000604 |
Truong B et al. Cell Genom (2024)
Current smoker smoking status measurement 4,496,606
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004752/ScoringFiles/PGS004752.txt.gz
PGS004853
(VTE_PRSmix_eur)
PGP000604 |
Truong B et al. Cell Genom (2024)
Venous thromboembolism venous thromboembolism 828,099
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004853/ScoringFiles/PGS004853.txt.gz
PGS004810
(osteoporosis_PRSmixPlus_eur)
PGP000604 |
Truong B et al. Cell Genom (2024)
Osteoporosis osteoporosis 1,876,917
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004810/ScoringFiles/PGS004810.txt.gz
PGS004811
(Platelets_PRSmix_eur)
PGP000604 |
Truong B et al. Cell Genom (2024)
Platelet count platelet count 1,147,733
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004811/ScoringFiles/PGS004811.txt.gz
PGS004813
(Platelets_PRSmixPlus_eur)
PGP000604 |
Truong B et al. Cell Genom (2024)
Platelet count platelet count 1,793,041
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004813/ScoringFiles/PGS004813.txt.gz
PGS004814
(Platelets_PRSmixPlus_sas)
PGP000604 |
Truong B et al. Cell Genom (2024)
Platelet count platelet count 6,146,883
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004814/ScoringFiles/PGS004814.txt.gz
PGS004816
(prostate_cancer_PRSmixPlus_eur)
PGP000604 |
Truong B et al. Cell Genom (2024)
Prostate cancer prostate carcinoma 922,104
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004816/ScoringFiles/PGS004816.txt.gz
PGS004817
(RA_PRSmix_eur)
PGP000604 |
Truong B et al. Cell Genom (2024)
Rheumatoid Arthritis rheumatoid arthritis 786,048
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004817/ScoringFiles/PGS004817.txt.gz
PGS004821
(RBC_PRSmix_eur)
PGP000604 |
Truong B et al. Cell Genom (2024)
Red blood cell count erythrocyte count 1,160,061
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004821/ScoringFiles/PGS004821.txt.gz
PGS004823
(RBC_PRSmixPlus_eur)
PGP000604 |
Truong B et al. Cell Genom (2024)
Red blood cell count erythrocyte count 4,047,636
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004823/ScoringFiles/PGS004823.txt.gz
PGS004824
(RBC_PRSmixPlus_sas)
PGP000604 |
Truong B et al. Cell Genom (2024)
Red blood cell count erythrocyte count 1,542,933
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004824/ScoringFiles/PGS004824.txt.gz
PGS004826
(RDW_PRSmix_sas)
PGP000604 |
Truong B et al. Cell Genom (2024)
Red cell distribution width Red cell distribution width 5,175,389
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004826/ScoringFiles/PGS004826.txt.gz
PGS004827
(RDW_PRSmixPlus_eur)
PGP000604 |
Truong B et al. Cell Genom (2024)
Red cell distribution width Red cell distribution width 4,698,860
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004827/ScoringFiles/PGS004827.txt.gz
PGS004832
(sbp_PRSmixPlus_sas)
PGP000604 |
Truong B et al. Cell Genom (2024)
Systolic blood pressure systolic blood pressure 6,013,177
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004832/ScoringFiles/PGS004832.txt.gz
PGS004833
(skin_cancer_PRSmix_eur)
PGP000604 |
Truong B et al. Cell Genom (2024)
Skin cancer melanoma 807,939
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004833/ScoringFiles/PGS004833.txt.gz
PGS004835
(stroke_PRSmix_eur)
PGP000604 |
Truong B et al. Cell Genom (2024)
Stroke stroke 2,263,784
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004835/ScoringFiles/PGS004835.txt.gz
PGS004836
(stroke_PRSmixPlus_eur)
PGP000604 |
Truong B et al. Cell Genom (2024)
Stroke stroke 5,644,266
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004836/ScoringFiles/PGS004836.txt.gz
PGS004838
(t2d_PRSmix_sas)
PGP000604 |
Truong B et al. Cell Genom (2024)
Type 2 diabetes (T2D) type 2 diabetes mellitus 6,586,458
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004838/ScoringFiles/PGS004838.txt.gz
PGS004839
(t2d_PRSmixPlus_eur)
PGP000604 |
Truong B et al. Cell Genom (2024)
Type 2 diabetes (T2D) type 2 diabetes mellitus 4,594,694
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004839/ScoringFiles/PGS004839.txt.gz
PGS004840
(t2d_PRSmixPlus_sas)
PGP000604 |
Truong B et al. Cell Genom (2024)
Type 2 diabetes (T2D) type 2 diabetes mellitus 6,586,458
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004840/ScoringFiles/PGS004840.txt.gz
PGS004842
(tc_PRSmix_sas)
PGP000604 |
Truong B et al. Cell Genom (2024)
Total cholesterol total cholesterol measurement 6,439,132
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004842/ScoringFiles/PGS004842.txt.gz
PGS004843
(tc_PRSmixPlus_eur)
PGP000604 |
Truong B et al. Cell Genom (2024)
Total cholesterol total cholesterol measurement 4,136,795
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004843/ScoringFiles/PGS004843.txt.gz
PGS004845
(tg_PRSmix_eur)
PGP000604 |
Truong B et al. Cell Genom (2024)
Triglycerides triglyceride measurement 1,095,976
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004845/ScoringFiles/PGS004845.txt.gz
PGS004846
(tg_PRSmix_sas)
PGP000604 |
Truong B et al. Cell Genom (2024)
Triglycerides triglyceride measurement 6,248,300
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004846/ScoringFiles/PGS004846.txt.gz
PGS004848
(tg_PRSmixPlus_sas)
PGP000604 |
Truong B et al. Cell Genom (2024)
Triglycerides triglyceride measurement 6,127,766
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004848/ScoringFiles/PGS004848.txt.gz
PGS004849
(Total_protein_PRSmix_sas)
PGP000604 |
Truong B et al. Cell Genom (2024)
Total protein measurement total blood protein measurement 2,167,123
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004849/ScoringFiles/PGS004849.txt.gz
PGS004701
(a1c_PRSmix_eur)
PGP000604 |
Truong B et al. Cell Genom (2024)
HbA1c HbA1c measurement 1,107,927
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004701/ScoringFiles/PGS004701.txt.gz
PGS004720
(AST_PRSmix_sas)
PGP000604 |
Truong B et al. Cell Genom (2024)
Aspartate aminotransferase level aspartate aminotransferase measurement 1,000,300
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004720/ScoringFiles/PGS004720.txt.gz
PGS004734
(bmi_PRSmix_sas)
PGP000604 |
Truong B et al. Cell Genom (2024)
Body mass index (BMI) body mass index 4,081,121
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004734/ScoringFiles/PGS004734.txt.gz
PGS004735
(bmi_PRSmixPlus_eur)
PGP000604 |
Truong B et al. Cell Genom (2024)
Body mass index (BMI) body mass index 4,536,322
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004735/ScoringFiles/PGS004735.txt.gz
PGS004852
(TotalProtein_PRSmixPlus_eur)
PGP000604 |
Truong B et al. Cell Genom (2024)
Total protein measurement total blood protein measurement 724,061
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004852/ScoringFiles/PGS004852.txt.gz
PGS004855
(WBC_PRSmix_eur)
PGP000604 |
Truong B et al. Cell Genom (2024)
White blood cell count leukocyte count 1,165,158
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004855/ScoringFiles/PGS004855.txt.gz
PGS004857
(WBC_PRSmixPlus_eur)
PGP000604 |
Truong B et al. Cell Genom (2024)
White blood cell count leukocyte count 4,141,649
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004857/ScoringFiles/PGS004857.txt.gz
PGS004858
(WBC_PRSmixPlus_sas)
PGP000604 |
Truong B et al. Cell Genom (2024)
White blood cell count leukocyte count 6,594,323
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004858/ScoringFiles/PGS004858.txt.gz
PGS004812
(Platelets_PRSmix_sas)
PGP000604 |
Truong B et al. Cell Genom (2024)
Platelet count platelet count 6,146,883
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004812/ScoringFiles/PGS004812.txt.gz
PGS004808
(Neutrophils_PRSmixPlus_sas)
PGP000604 |
Truong B et al. Cell Genom (2024)
Neutrophil count neutrophil count 1,877,161
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004808/ScoringFiles/PGS004808.txt.gz
PGS004809
(osteoporosis_PRSmix_eur)
PGP000604 |
Truong B et al. Cell Genom (2024)
Osteoporosis osteoporosis 863,731
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004809/ScoringFiles/PGS004809.txt.gz
PGS004744
(cad_PRSmix_sas)
PGP000604 |
Truong B et al. Cell Genom (2024)
Coronary artery disease coronary artery disease 7,082,943
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004744/ScoringFiles/PGS004744.txt.gz
PGS004747
(creatinine_PRSmix_eur)
PGP000604 |
Truong B et al. Cell Genom (2024)
Serum creatinine creatinine measurement 609,027
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004747/ScoringFiles/PGS004747.txt.gz
PGS004751
(current_smoker_PRSmix_eur)
PGP000604 |
Truong B et al. Cell Genom (2024)
Current smoker smoking status measurement 1,076,735
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004751/ScoringFiles/PGS004751.txt.gz
PGS004815
(prostate_cancer_PRSmix_eur)
PGP000604 |
Truong B et al. Cell Genom (2024)
Prostate cancer prostate carcinoma 922,102
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004815/ScoringFiles/PGS004815.txt.gz
PGS004819
(RA_PRSmixPlus_eur)
PGP000604 |
Truong B et al. Cell Genom (2024)
Rheumatoid Arthritis rheumatoid arthritis 2,624,228
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004819/ScoringFiles/PGS004819.txt.gz
PGS004822
(RBC_PRSmix_sas)
PGP000604 |
Truong B et al. Cell Genom (2024)
Red blood cell count erythrocyte count 1,874,761
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004822/ScoringFiles/PGS004822.txt.gz
PGS004825
(RDW_PRSmix_eur)
PGP000604 |
Truong B et al. Cell Genom (2024)
Red cell distribution width Red cell distribution width 1,082,665
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004825/ScoringFiles/PGS004825.txt.gz
PGS004828
(RDW_PRSmixPlus_sas)
PGP000604 |
Truong B et al. Cell Genom (2024)
Red cell distribution width Red cell distribution width 5,175,389
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004828/ScoringFiles/PGS004828.txt.gz
PGS004830
(sbp_PRSmix_sas)
PGP000604 |
Truong B et al. Cell Genom (2024)
Systolic blood pressure systolic blood pressure 4,805,129
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004830/ScoringFiles/PGS004830.txt.gz
PGS004831
(sbp_PRSmixPlus_eur)
PGP000604 |
Truong B et al. Cell Genom (2024)
Systolic blood pressure systolic blood pressure 3,827,774
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004831/ScoringFiles/PGS004831.txt.gz
PGS004834
(skin_cancer_PRSmixPlus_eur)
PGP000604 |
Truong B et al. Cell Genom (2024)
Skin cancer melanoma 1,271,902
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004834/ScoringFiles/PGS004834.txt.gz
PGS004837
(t2d_PRSmix_eur)
PGP000604 |
Truong B et al. Cell Genom (2024)
Type 2 diabetes (T2D) type 2 diabetes mellitus 3,306,136
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004837/ScoringFiles/PGS004837.txt.gz
PGS004841
(tc_PRSmix_eur)
PGP000604 |
Truong B et al. Cell Genom (2024)
Total cholesterol total cholesterol measurement 1,051,726
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004841/ScoringFiles/PGS004841.txt.gz
PGS004844
(tc_PRSmixPlus_sas)
PGP000604 |
Truong B et al. Cell Genom (2024)
Total cholesterol total cholesterol measurement 6,149,012
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004844/ScoringFiles/PGS004844.txt.gz
PGS004847
(tg_PRSmixPlus_eur)
PGP000604 |
Truong B et al. Cell Genom (2024)
Triglycerides triglyceride measurement 4,047,325
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004847/ScoringFiles/PGS004847.txt.gz
PGS004850
(Total_protein_PRSmixPlus_sas)
PGP000604 |
Truong B et al. Cell Genom (2024)
Total protein measurement total blood protein measurement 937,777
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004850/ScoringFiles/PGS004850.txt.gz
PGS004851
(TotalProtein_PRSmix_eur)
PGP000604 |
Truong B et al. Cell Genom (2024)
Total protein measurement total blood protein measurement 593,738
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004851/ScoringFiles/PGS004851.txt.gz
PGS004854
(VTE_PRSmixPlus_eur)
PGP000604 |
Truong B et al. Cell Genom (2024)
Venous thromboembolism venous thromboembolism 2,268,993
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004854/ScoringFiles/PGS004854.txt.gz
PGS004856
(WBC_PRSmix_sas)
PGP000604 |
Truong B et al. Cell Genom (2024)
White blood cell count leukocyte count 6,594,323
-
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004856/ScoringFiles/PGS004856.txt.gz

Performance Metrics

Disclaimer: The performance metrics are displayed as reported by the source studies. It is important to note that metrics are not necessarily comparable with each other. For example, metrics depend on the sample characteristics (described by the PGS Catalog Sample Set [PSS] ID), phenotyping, and statistical modelling. Please refer to the source publication for additional guidance on performance.

PGS Performance
Metric ID (PPM)
Evaluated Score PGS Sample Set ID
(PSS)
Performance Source Trait PGS Effect Sizes
(per SD change)
Classification Metrics Other Metrics Covariates Included in the Model PGS Performance:
Other Relevant Information
PPM020948 PGS004723
(asthma_PRSmix_eur)
PSS011465|
European Ancestry|
9,462 individuals
PGP000604 |
Truong B et al. Cell Genom (2024)
Reported Trait: Asthma Incremental R2 (Full model versus model with only covariates): 0.033 [0.026, 0.04] age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 Incremental R2 (Full model versus model with only covariates)
PPM020927 PGS004702
(a1c_PRSmix_sas)
PSS011479|
South Asian Ancestry|
6,414 individuals
PGP000604 |
Truong B et al. Cell Genom (2024)
Reported Trait: A1c Incremental R2 (Full model versus model with only covariates): 0.053 [0.042, 0.063] age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 Incremental R2 (Full model versus model with only covariates)
PPM020928 PGS004703
(a1c_PRSmixPlus_eur)
PSS011478|
European Ancestry|
1,543 individuals
PGP000604 |
Truong B et al. Cell Genom (2024)
Reported Trait: A1c Incremental R2 (Full model versus model with only covariates): 0.1 [0.071, 0.129] age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 Incremental R2 (Full model versus model with only covariates)
PPM020929 PGS004704
(a1c_PRSmixPlus_sas)
PSS011479|
South Asian Ancestry|
6,414 individuals
PGP000604 |
Truong B et al. Cell Genom (2024)
Reported Trait: A1c Incremental R2 (Full model versus model with only covariates): 0.071 [0.059, 0.084] age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 Incremental R2 (Full model versus model with only covariates)
PPM020930 PGS004705
(afib_PRSmix_eur)
PSS011465|
European Ancestry|
9,462 individuals
PGP000604 |
Truong B et al. Cell Genom (2024)
Reported Trait: Atrial Fibrillation Incremental R2 (Full model versus model with only covariates): 0.042 [0.034, 0.05] age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 Incremental R2 (Full model versus model with only covariates)
PPM020931 PGS004706
(afib_PRSmixPlus_eur)
PSS011465|
European Ancestry|
9,462 individuals
PGP000604 |
Truong B et al. Cell Genom (2024)
Reported Trait: Atrial Fibrillation Incremental R2 (Full model versus model with only covariates): 0.044 [0.036, 0.053] age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 Incremental R2 (Full model versus model with only covariates)
PPM020932 PGS004707
(Albumin_PRSmix_eur)
PSS011480|
European Ancestry|
4,879 individuals
PGP000604 |
Truong B et al. Cell Genom (2024)
Reported Trait: Albumin Incremental R2 (Full model versus model with only covariates): 0.029 [0.019, 0.038] age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 Incremental R2 (Full model versus model with only covariates)
PPM020933 PGS004708
(Albumin_PRSmix_sas)
PSS011460|
South Asian Ancestry|
6,864 individuals
PGP000604 |
Truong B et al. Cell Genom (2024)
Reported Trait: Albumin Incremental R2 (Full model versus model with only covariates): 0.029 [0.021, 0.037] age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 Incremental R2 (Full model versus model with only covariates)
PPM020934 PGS004709
(Albumin_PRSmixPlus_eur)
PSS011480|
European Ancestry|
4,879 individuals
PGP000604 |
Truong B et al. Cell Genom (2024)
Reported Trait: Albumin Incremental R2 (Full model versus model with only covariates): 0.042 [0.031, 0.053] age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 Incremental R2 (Full model versus model with only covariates)
PPM020935 PGS004710
(Albumin_PRSmixPlus_sas)
PSS011460|
South Asian Ancestry|
6,864 individuals
PGP000604 |
Truong B et al. Cell Genom (2024)
Reported Trait: Albumin Incremental R2 (Full model versus model with only covariates): 0.033 [0.025, 0.041] age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 Incremental R2 (Full model versus model with only covariates)
PPM020936 PGS004711
(ALP_PRSmix_eur)
PSS011455|
European Ancestry|
5,351 individuals
PGP000604 |
Truong B et al. Cell Genom (2024)
Reported Trait: Alkaline phosphatase Incremental R2 (Full model versus model with only covariates): 0.141 [0.123, 0.158] age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 Incremental R2 (Full model versus model with only covariates)
PPM020937 PGS004712
(ALP_PRSmix_sas)
PSS011456|
South Asian Ancestry|
6,795 individuals
PGP000604 |
Truong B et al. Cell Genom (2024)
Reported Trait: Alkaline phosphatase Incremental R2 (Full model versus model with only covariates): 0.077 [0.065, 0.09] age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 Incremental R2 (Full model versus model with only covariates)
PPM020938 PGS004713
(ALP_PRSmixPlus_eur)
PSS011455|
European Ancestry|
5,351 individuals
PGP000604 |
Truong B et al. Cell Genom (2024)
Reported Trait: Alkaline phosphatase Incremental R2 (Full model versus model with only covariates): 0.149 [0.132, 0.167] age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 Incremental R2 (Full model versus model with only covariates)
PPM020939 PGS004714
(ALP_PRSmixPlus_sas)
PSS011456|
South Asian Ancestry|
6,795 individuals
PGP000604 |
Truong B et al. Cell Genom (2024)
Reported Trait: Alkaline phosphatase Incremental R2 (Full model versus model with only covariates): 0.08 [0.068, 0.092] age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 Incremental R2 (Full model versus model with only covariates)
PPM020940 PGS004715
(ALT_PRSmix_eur)
PSS011457|
European Ancestry|
5,247 individuals
PGP000604 |
Truong B et al. Cell Genom (2024)
Reported Trait: Alanine aminotransferase Incremental R2 (Full model versus model with only covariates): 0.013 [0.007, 0.019] age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 Incremental R2 (Full model versus model with only covariates)
PPM020941 PGS004716
(ALT_PRSmix_sas)
PSS011458|
South Asian Ancestry|
6,794 individuals
PGP000604 |
Truong B et al. Cell Genom (2024)
Reported Trait: Alanine aminotransferase Incremental R2 (Full model versus model with only covariates): 0.03 [0.022, 0.038] age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 Incremental R2 (Full model versus model with only covariates)
PPM020942 PGS004717
(ALT_PRSmixPlus_eur)
PSS011457|
European Ancestry|
5,247 individuals
PGP000604 |
Truong B et al. Cell Genom (2024)
Reported Trait: Alanine aminotransferase Incremental R2 (Full model versus model with only covariates): 0.041 [0.03, 0.052] age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 Incremental R2 (Full model versus model with only covariates)
PPM020943 PGS004718
(ALT_PRSmixPlus_sas)
PSS011458|
South Asian Ancestry|
6,794 individuals
PGP000604 |
Truong B et al. Cell Genom (2024)
Reported Trait: Alanine aminotransferase Incremental R2 (Full model versus model with only covariates): 0.031 [0.023, 0.039] age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 Incremental R2 (Full model versus model with only covariates)
PPM020944 PGS004719
(AST_PRSmix_eur)
PSS011481|
European Ancestry|
4,728 individuals
PGP000604 |
Truong B et al. Cell Genom (2024)
Reported Trait: Aspartate aminotransferase Incremental R2 (Full model versus model with only covariates): 0.012 [0.006, 0.018] age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 Incremental R2 (Full model versus model with only covariates)
PPM020945 PGS004720
(AST_PRSmix_sas)
PSS011459|
South Asian Ancestry|
2,710 individuals
PGP000604 |
Truong B et al. Cell Genom (2024)
Reported Trait: Aspartate aminotransferase Incremental R2 (Full model versus model with only covariates): 0.03 [0.017, 0.042] age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 Incremental R2 (Full model versus model with only covariates)
PPM020946 PGS004721
(AST_PRSmixPlus_eur)
PSS011481|
European Ancestry|
4,728 individuals
PGP000604 |
Truong B et al. Cell Genom (2024)
Reported Trait: Aspartate aminotransferase Incremental R2 (Full model versus model with only covariates): 0.034 [0.024, 0.044] age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 Incremental R2 (Full model versus model with only covariates)
PPM020947 PGS004722
(AST_PRSmixPlus_sas)
PSS011459|
South Asian Ancestry|
2,710 individuals
PGP000604 |
Truong B et al. Cell Genom (2024)
Reported Trait: Aspartate aminotransferase Incremental R2 (Full model versus model with only covariates): 0.03 [0.017, 0.042] age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 Incremental R2 (Full model versus model with only covariates)
PPM020949 PGS004724
(asthma_PRSmix_sas)
PSS011474|
South Asian Ancestry|
8,837 individuals
PGP000604 |
Truong B et al. Cell Genom (2024)
Reported Trait: Asthma Incremental R2 (Full model versus model with only covariates): 0.065 [0.055, 0.075] age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 Incremental R2 (Full model versus model with only covariates)
PPM020950 PGS004725
(asthma_PRSmixPlus_eur)
PSS011465|
European Ancestry|
9,462 individuals
PGP000604 |
Truong B et al. Cell Genom (2024)
Reported Trait: Asthma Incremental R2 (Full model versus model with only covariates): 0.039 [0.031, 0.047] age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 Incremental R2 (Full model versus model with only covariates)
PPM020951 PGS004726
(asthma_PRSmixPlus_sas)
PSS011474|
South Asian Ancestry|
8,837 individuals
PGP000604 |
Truong B et al. Cell Genom (2024)
Reported Trait: Asthma Incremental R2 (Full model versus model with only covariates): 0.069 [0.059, 0.08] age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 Incremental R2 (Full model versus model with only covariates)
PPM020953 PGS004728
(Basophils_PRSmix_sas)
PSS011463|
South Asian Ancestry|
7,096 individuals
PGP000604 |
Truong B et al. Cell Genom (2024)
Reported Trait: Basophil count Incremental R2 (Full model versus model with only covariates): 0.018 [0.012, 0.024] age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 Incremental R2 (Full model versus model with only covariates)
PPM020954 PGS004729
(Basophils_PRSmixPlus_eur)
PSS011482|
European Ancestry|
3,385 individuals
PGP000604 |
Truong B et al. Cell Genom (2024)
Reported Trait: Basophil count Incremental R2 (Full model versus model with only covariates): 0.023 [0.013, 0.033] age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 Incremental R2 (Full model versus model with only covariates)
PPM020956 PGS004731
(Bilirubin_PRSmix_eur)
PSS011483|
European Ancestry|
5,157 individuals
PGP000604 |
Truong B et al. Cell Genom (2024)
Reported Trait: Total bilirubin Incremental R2 (Full model versus model with only covariates): 0.165 [0.147, 0.184] age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 Incremental R2 (Full model versus model with only covariates)
PPM020957 PGS004732
(Bilirubin_PRSmixPlus_eur)
PSS011483|
European Ancestry|
5,157 individuals
PGP000604 |
Truong B et al. Cell Genom (2024)
Reported Trait: Total bilirubin Incremental R2 (Full model versus model with only covariates): 0.174 [0.155, 0.193] age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 Incremental R2 (Full model versus model with only covariates)
PPM020958 PGS004733
(bmi_PRSmix_eur)
PSS011484|
European Ancestry|
8,967 individuals
PGP000604 |
Truong B et al. Cell Genom (2024)
Reported Trait: Body mass index Incremental R2 (Full model versus model with only covariates): 0.152 [0.138, 0.165] age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 Incremental R2 (Full model versus model with only covariates)
PPM020959 PGS004734
(bmi_PRSmix_sas)
PSS011485|
South Asian Ancestry|
6,644 individuals
PGP000604 |
Truong B et al. Cell Genom (2024)
Reported Trait: Body mass index Incremental R2 (Full model versus model with only covariates): 0.06 [0.049, 0.071] age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 Incremental R2 (Full model versus model with only covariates)
PPM020960 PGS004735
(bmi_PRSmixPlus_eur)
PSS011484|
European Ancestry|
8,967 individuals
PGP000604 |
Truong B et al. Cell Genom (2024)
Reported Trait: Body mass index Incremental R2 (Full model versus model with only covariates): 0.161 [0.147, 0.175] age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 Incremental R2 (Full model versus model with only covariates)
PPM020961 PGS004736
(bmi_PRSmixPlus_sas)
PSS011485|
South Asian Ancestry|
6,644 individuals
PGP000604 |
Truong B et al. Cell Genom (2024)
Reported Trait: Body mass index Incremental R2 (Full model versus model with only covariates): 0.067 [0.056, 0.079] age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 Incremental R2 (Full model versus model with only covariates)
PPM020962 PGS004737
(breast_cancer_PRSmix_eur)
PSS011486|
European Ancestry|
5,680 individuals
PGP000604 |
Truong B et al. Cell Genom (2024)
Reported Trait: Breast cancer Incremental R2 (Full model versus model with only covariates): 0.038 [0.028, 0.048] age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 Incremental R2 (Full model versus model with only covariates)
PPM020963 PGS004738
(breast_cancer_PRSmixPlus_eur)
PSS011486|
European Ancestry|
5,680 individuals
PGP000604 |
Truong B et al. Cell Genom (2024)
Reported Trait: Breast cancer Incremental R2 (Full model versus model with only covariates): 0.038 [0.028, 0.048] age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 Incremental R2 (Full model versus model with only covariates)
PPM020964 PGS004739
(BUN_PRSmix_eur)
PSS011461|
European Ancestry|
5,760 individuals
PGP000604 |
Truong B et al. Cell Genom (2024)
Reported Trait: Urea Incremental R2 (Full model versus model with only covariates): 0.023 [0.016, 0.031] age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 Incremental R2 (Full model versus model with only covariates)
PPM020965 PGS004740
(BUN_PRSmix_sas)
PSS011462|
South Asian Ancestry|
6,087 individuals
PGP000604 |
Truong B et al. Cell Genom (2024)
Reported Trait: Urea Incremental R2 (Full model versus model with only covariates): 0.014 [0.008, 0.019] age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 Incremental R2 (Full model versus model with only covariates)
PPM020966 PGS004741
(BUN_PRSmixPlus_eur)
PSS011461|
European Ancestry|
5,760 individuals
PGP000604 |
Truong B et al. Cell Genom (2024)
Reported Trait: Urea Incremental R2 (Full model versus model with only covariates): 0.028 [0.019, 0.036] age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 Incremental R2 (Full model versus model with only covariates)
PPM020967 PGS004742
(BUN_PRSmixPlus_sas)
PSS011462|
South Asian Ancestry|
6,087 individuals
PGP000604 |
Truong B et al. Cell Genom (2024)
Reported Trait: Urea Incremental R2 (Full model versus model with only covariates): 0.016 [0.009, 0.022] age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 Incremental R2 (Full model versus model with only covariates)
PPM020968 PGS004743
(cad_PRSmix_eur)
PSS011487|
European Ancestry|
7,465 individuals
PGP000604 |
Truong B et al. Cell Genom (2024)
Reported Trait: Coronary artery disease Incremental R2 (Full model versus model with only covariates): 0.039 [0.03, 0.048] age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 Incremental R2 (Full model versus model with only covariates)
PPM020969 PGS004744
(cad_PRSmix_sas)
PSS011474|
South Asian Ancestry|
8,837 individuals
PGP000604 |
Truong B et al. Cell Genom (2024)
Reported Trait: Coronary artery disease Incremental R2 (Full model versus model with only covariates): 0.014 [0.009, 0.019] age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 Incremental R2 (Full model versus model with only covariates)
PPM020970 PGS004745
(cad_PRSmixPlus_eur)
PSS011487|
European Ancestry|
7,465 individuals
PGP000604 |
Truong B et al. Cell Genom (2024)
Reported Trait: Coronary artery disease Incremental R2 (Full model versus model with only covariates): 0.05 [0.04, 0.059] age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 Incremental R2 (Full model versus model with only covariates)
PPM020971 PGS004746
(cad_PRSmixPlus_sas)
PSS011474|
South Asian Ancestry|
8,837 individuals
PGP000604 |
Truong B et al. Cell Genom (2024)
Reported Trait: Coronary artery disease Incremental R2 (Full model versus model with only covariates): 0.02 [0.014, 0.026] age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 Incremental R2 (Full model versus model with only covariates)
PPM020972 PGS004747
(creatinine_PRSmix_eur)
PSS011488|
European Ancestry|
5,758 individuals
PGP000604 |
Truong B et al. Cell Genom (2024)
Reported Trait: Serum creatinine Incremental R2 (Full model versus model with only covariates): 0.046 [0.035, 0.056] age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 Incremental R2 (Full model versus model with only covariates)
PPM020973 PGS004748
(creatinine_PRSmix_sas)
PSS011489|
South Asian Ancestry|
6,954 individuals
PGP000604 |
Truong B et al. Cell Genom (2024)
Reported Trait: Serum creatinine Incremental R2 (Full model versus model with only covariates): 0.029 [0.022, 0.037] age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 Incremental R2 (Full model versus model with only covariates)
PPM020974 PGS004749
(creatinine_PRSmixPlus_eur)
PSS011488|
European Ancestry|
5,758 individuals
PGP000604 |
Truong B et al. Cell Genom (2024)
Reported Trait: Serum creatinine Incremental R2 (Full model versus model with only covariates): 0.053 [0.042, 0.064] age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 Incremental R2 (Full model versus model with only covariates)
PPM020975 PGS004750
(creatinine_PRSmixPlus_sas)
PSS011489|
South Asian Ancestry|
6,954 individuals
PGP000604 |
Truong B et al. Cell Genom (2024)
Reported Trait: Serum creatinine Incremental R2 (Full model versus model with only covariates): 0.035 [0.027, 0.044] age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 Incremental R2 (Full model versus model with only covariates)
PPM020976 PGS004751
(current_smoker_PRSmix_eur)
PSS011490|
European Ancestry|
9,316 individuals
PGP000604 |
Truong B et al. Cell Genom (2024)
Reported Trait: Current smoker Incremental R2 (Full model versus model with only covariates): 0.092 [0.081, 0.103] age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 Incremental R2 (Full model versus model with only covariates)
PPM020977 PGS004752
(current_smoker_PRSmix_sas)
PSS011474|
South Asian Ancestry|
8,837 individuals
PGP000604 |
Truong B et al. Cell Genom (2024)
Reported Trait: Current smoker Incremental R2 (Full model versus model with only covariates): 0.004 [0.001, 0.016] age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 Incremental R2 (Full model versus model with only covariates)
PPM020978 PGS004753
(current_smoker_PRSmixPlus_eur)
PSS011490|
European Ancestry|
9,316 individuals
PGP000604 |
Truong B et al. Cell Genom (2024)
Reported Trait: Current smoker Incremental R2 (Full model versus model with only covariates): 0.178 [0.164, 0.192] age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 Incremental R2 (Full model versus model with only covariates)
PPM020979 PGS004754
(current_smoker_PRSmixPlus_sas)
PSS011474|
South Asian Ancestry|
8,837 individuals
PGP000604 |
Truong B et al. Cell Genom (2024)
Reported Trait: Current smoker Incremental R2 (Full model versus model with only covariates): 0.006 [0.002, 0.009] age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 Incremental R2 (Full model versus model with only covariates)
PPM020980 PGS004755
(dbp_PRSmix_eur)
PSS011465|
European Ancestry|
9,462 individuals
PGP000604 |
Truong B et al. Cell Genom (2024)
Reported Trait: Diastolic blood pressure Incremental R2 (Full model versus model with only covariates): 0.044 [0.036, 0.052] age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 Incremental R2 (Full model versus model with only covariates)
PPM020981 PGS004756
(dbp_PRSmix_sas)
PSS011491|
South Asian Ancestry|
7,185 individuals
PGP000604 |
Truong B et al. Cell Genom (2024)
Reported Trait: Diastolic blood pressure Incremental R2 (Full model versus model with only covariates): 0.04 [0.031, 0.048] age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 Incremental R2 (Full model versus model with only covariates)
PPM020982 PGS004757
(dbp_PRSmixPlus_eur)
PSS011465|
European Ancestry|
9,462 individuals
PGP000604 |
Truong B et al. Cell Genom (2024)
Reported Trait: Diastolic blood pressure Incremental R2 (Full model versus model with only covariates): 0.05 [0.042, 0.059] age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 Incremental R2 (Full model versus model with only covariates)
PPM020983 PGS004758
(dbp_PRSmixPlus_sas)
PSS011491|
South Asian Ancestry|
7,185 individuals
PGP000604 |
Truong B et al. Cell Genom (2024)
Reported Trait: Diastolic blood pressure Incremental R2 (Full model versus model with only covariates): 0.046 [0.036, 0.055] age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 Incremental R2 (Full model versus model with only covariates)
PPM020984 PGS004759
(depression_PRSmix_eur)
PSS011465|
European Ancestry|
9,462 individuals
PGP000604 |
Truong B et al. Cell Genom (2024)
Reported Trait: Depression Incremental R2 (Full model versus model with only covariates): 0.016 [0.011, 0.021] age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 Incremental R2 (Full model versus model with only covariates)
PPM020985 PGS004760
(depression_PRSmixPlus_eur)
PSS011465|
European Ancestry|
9,462 individuals
PGP000604 |
Truong B et al. Cell Genom (2024)
Reported Trait: Depression Incremental R2 (Full model versus model with only covariates): 0.024 [0.018, 0.03] age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 Incremental R2 (Full model versus model with only covariates)
PPM020986 PGS004761
(Eosinophils_PRSmix_eur)
PSS011492|
European Ancestry|
3,464 individuals
PGP000604 |
Truong B et al. Cell Genom (2024)
Reported Trait: Eosinophil count Incremental R2 (Full model versus model with only covariates): 0.097 [0.078, 0.116] age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 Incremental R2 (Full model versus model with only covariates)
PPM020987 PGS004762
(Eosinophils_PRSmix_sas)
PSS011464|
South Asian Ancestry|
7,056 individuals
PGP000604 |
Truong B et al. Cell Genom (2024)
Reported Trait: Eosinophil count Incremental R2 (Full model versus model with only covariates): 0.091 [0.078, 0.104] age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 Incremental R2 (Full model versus model with only covariates)
PPM020988 PGS004763
(Eosinophils_PRSmixPlus_eur)
PSS011492|
European Ancestry|
3,464 individuals
PGP000604 |
Truong B et al. Cell Genom (2024)
Reported Trait: Eosinophil count Incremental R2 (Full model versus model with only covariates): 0.103 [0.083, 0.122] age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 Incremental R2 (Full model versus model with only covariates)
PPM020989 PGS004764
(Eosinophils_PRSmixPlus_sas)
PSS011464|
South Asian Ancestry|
7,056 individuals
PGP000604 |
Truong B et al. Cell Genom (2024)
Reported Trait: Eosinophil count Incremental R2 (Full model versus model with only covariates): 0.098 [0.085, 0.112] age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 Incremental R2 (Full model versus model with only covariates)
PPM020990 PGS004765
(glaucoma_PRSmix_eur)
PSS011465|
European Ancestry|
9,462 individuals
PGP000604 |
Truong B et al. Cell Genom (2024)
Reported Trait: Glaucoma Incremental R2 (Full model versus model with only covariates): 0.031 [0.024, 0.038] age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 Incremental R2 (Full model versus model with only covariates)
PPM020991 PGS004766
(glaucoma_PRSmixPlus_eur)
PSS011465|
European Ancestry|
9,462 individuals
PGP000604 |
Truong B et al. Cell Genom (2024)
Reported Trait: Glaucoma Incremental R2 (Full model versus model with only covariates): 0.031 [0.024, 0.038] age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 Incremental R2 (Full model versus model with only covariates)
PPM020993 PGS004768
(gout_PRSmixPlus_eur)
PSS011465|
European Ancestry|
9,462 individuals
PGP000604 |
Truong B et al. Cell Genom (2024)
Reported Trait: Gout Incremental R2 (Full model versus model with only covariates): 0.081 [0.071, 0.092] age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 Incremental R2 (Full model versus model with only covariates)
PPM020994 PGS004769
(Hb_PRSmix_eur)
PSS011466|
European Ancestry|
5,325 individuals
PGP000604 |
Truong B et al. Cell Genom (2024)
Reported Trait: Hemoglobin Incremental R2 (Full model versus model with only covariates): 0.041 [0.03, 0.051] age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 Incremental R2 (Full model versus model with only covariates)
PPM020995 PGS004770
(Hb_PRSmixPlus_eur)
PSS011466|
European Ancestry|
5,325 individuals
PGP000604 |
Truong B et al. Cell Genom (2024)
Reported Trait: Hemoglobin Incremental R2 (Full model versus model with only covariates): 0.044 [0.033, 0.055] age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 Incremental R2 (Full model versus model with only covariates)
PPM020996 PGS004771
(Hct_PRSmix_eur)
PSS011493|
European Ancestry|
5,174 individuals
PGP000604 |
Truong B et al. Cell Genom (2024)
Reported Trait: Hematocrit Incremental R2 (Full model versus model with only covariates): 0.03 [0.021, 0.039] age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 Incremental R2 (Full model versus model with only covariates)
PPM020997 PGS004772
(hct_PRSmix_sas)
PSS011494|
South Asian Ancestry|
5,766 individuals
PGP000604 |
Truong B et al. Cell Genom (2024)
Reported Trait: Hematocrit Incremental R2 (Full model versus model with only covariates): 0.016 [0.009, 0.022] age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 Incremental R2 (Full model versus model with only covariates)
PPM020998 PGS004773
(Hct_PRSmixPlus_eur)
PSS011493|
European Ancestry|
5,174 individuals
PGP000604 |
Truong B et al. Cell Genom (2024)
Reported Trait: Hematocrit Incremental R2 (Full model versus model with only covariates): 0.033 [0.023, 0.042] age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 Incremental R2 (Full model versus model with only covariates)
PPM020999 PGS004774
(hct_PRSmixPlus_sas)
PSS011494|
South Asian Ancestry|
5,766 individuals
PGP000604 |
Truong B et al. Cell Genom (2024)
Reported Trait: Hematocrit Incremental R2 (Full model versus model with only covariates): 0.017 [0.011, 0.024] age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 Incremental R2 (Full model versus model with only covariates)
PPM021000 PGS004775
(hdl_PRSmix_eur)
PSS011495|
European Ancestry|
4,000 individuals
PGP000604 |
Truong B et al. Cell Genom (2024)
Reported Trait: High-density lipoprotein Incremental R2 (Full model versus model with only covariates): 0.155 [0.134, 0.175] age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 Incremental R2 (Full model versus model with only covariates)
PPM021001 PGS004776
(hdl_PRSmix_sas)
PSS011496|
South Asian Ancestry|
6,047 individuals
PGP000604 |
Truong B et al. Cell Genom (2024)
Reported Trait: High-density lipoprotein Incremental R2 (Full model versus model with only covariates): 0.125 [0.109, 0.141] age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 Incremental R2 (Full model versus model with only covariates)
PPM021002 PGS004777
(hdl_PRSmixPlus_eur)
PSS011495|
European Ancestry|
4,000 individuals
PGP000604 |
Truong B et al. Cell Genom (2024)
Reported Trait: High-density lipoprotein Incremental R2 (Full model versus model with only covariates): 0.177 [0.155, 0.198] age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 Incremental R2 (Full model versus model with only covariates)
PPM021003 PGS004778
(hdl_PRSmixPlus_sas)
PSS011496|
South Asian Ancestry|
6,047 individuals
PGP000604 |
Truong B et al. Cell Genom (2024)
Reported Trait: High-density lipoprotein Incremental R2 (Full model versus model with only covariates): 0.13 [0.114, 0.146] age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 Incremental R2 (Full model versus model with only covariates)
PPM021004 PGS004779
(height_PRSmix_eur)
PSS011497|
European Ancestry|
9,045 individuals
PGP000604 |
Truong B et al. Cell Genom (2024)
Reported Trait: Height Incremental R2 (Full model versus model with only covariates): 0.201 [0.186, 0.216] age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 Incremental R2 (Full model versus model with only covariates)
PPM021005 PGS004780
(height_PRSmix_sas)
PSS011498|
South Asian Ancestry|
6,835 individuals
PGP000604 |
Truong B et al. Cell Genom (2024)
Reported Trait: Height Incremental R2 (Full model versus model with only covariates): 0.088 [0.075, 0.101] age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 Incremental R2 (Full model versus model with only covariates)
PPM021006 PGS004781
(height_PRSmixPlus_eur)
PSS011497|
European Ancestry|
9,045 individuals
PGP000604 |
Truong B et al. Cell Genom (2024)
Reported Trait: Height Incremental R2 (Full model versus model with only covariates): 0.201 [0.187, 0.216] age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 Incremental R2 (Full model versus model with only covariates)
PPM021007 PGS004782
(height_PRSmixPlus_sas)
PSS011498|
South Asian Ancestry|
6,835 individuals
PGP000604 |
Truong B et al. Cell Genom (2024)
Reported Trait: Height Incremental R2 (Full model versus model with only covariates): 0.089 [0.076, 0.102] age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 Incremental R2 (Full model versus model with only covariates)
PPM021008 PGS004783
(HLD_PRSmix_eur)
PSS011465|
European Ancestry|
9,462 individuals
PGP000604 |
Truong B et al. Cell Genom (2024)
Reported Trait: Hypercholesterolemia Incremental R2 (Full model versus model with only covariates): 0.041 [0.034, 0.049] age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 Incremental R2 (Full model versus model with only covariates)
PPM021009 PGS004784
(HLD_PRSmixPlus_eur)
PSS011465|
European Ancestry|
9,462 individuals
PGP000604 |
Truong B et al. Cell Genom (2024)
Reported Trait: Hypercholesterolemia Incremental R2 (Full model versus model with only covariates): 0.052 [0.043, 0.061] age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 Incremental R2 (Full model versus model with only covariates)
PPM021010 PGS004785
(HTN_PRSmix_eur)
PSS011465|
European Ancestry|
9,462 individuals
PGP000604 |
Truong B et al. Cell Genom (2024)
Reported Trait: Hypertension Incremental R2 (Full model versus model with only covariates): 0.066 [0.056, 0.076] age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 Incremental R2 (Full model versus model with only covariates)
PPM021011 PGS004786
(HTN_PRSmix_sas)
PSS011474|
South Asian Ancestry|
8,837 individuals
PGP000604 |
Truong B et al. Cell Genom (2024)
Reported Trait: Hypertension Incremental R2 (Full model versus model with only covariates): 0.022 [0.016, 0.028] age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 Incremental R2 (Full model versus model with only covariates)
PPM021012 PGS004787
(HTN_PRSmixPlus_eur)
PSS011465|
European Ancestry|
9,462 individuals
PGP000604 |
Truong B et al. Cell Genom (2024)
Reported Trait: Hypertension Incremental R2 (Full model versus model with only covariates): 0.073 [0.063, 0.083] age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 Incremental R2 (Full model versus model with only covariates)
PPM021013 PGS004788
(HTN_PRSmixPlus_sas)
PSS011474|
South Asian Ancestry|
8,837 individuals
PGP000604 |
Truong B et al. Cell Genom (2024)
Reported Trait: Hypertension Incremental R2 (Full model versus model with only covariates): 0.027 [0.02, 0.033] age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 Incremental R2 (Full model versus model with only covariates)
PPM021014 PGS004789
(hypothyroid_PRSmix_eur)
PSS011465|
European Ancestry|
9,462 individuals
PGP000604 |
Truong B et al. Cell Genom (2024)
Reported Trait: Hypothyroidism Incremental R2 (Full model versus model with only covariates): 0.041 [0.033, 0.049] age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 Incremental R2 (Full model versus model with only covariates)
PPM021015 PGS004790
(hypothyroid_PRSmixPlus_eur)
PSS011465|
European Ancestry|
9,462 individuals
PGP000604 |
Truong B et al. Cell Genom (2024)
Reported Trait: Hypothyroidism Incremental R2 (Full model versus model with only covariates): 0.042 [0.034, 0.05] age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 Incremental R2 (Full model versus model with only covariates)
PPM021016 PGS004791
(ldl_PRSmix_eur)
PSS011499|
European Ancestry|
4,026 individuals
PGP000604 |
Truong B et al. Cell Genom (2024)
Reported Trait: Low-density lipoprotein Incremental R2 (Full model versus model with only covariates): 0.076 [0.06, 0.092] age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 Incremental R2 (Full model versus model with only covariates)
PPM021017 PGS004792
(ldl_PRSmix_sas)
PSS011500|
South Asian Ancestry|
5,735 individuals
PGP000604 |
Truong B et al. Cell Genom (2024)
Reported Trait: Low-density lipoprotein Incremental R2 (Full model versus model with only covariates): 0.121 [0.105, 0.137] age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 Incremental R2 (Full model versus model with only covariates)
PPM021018 PGS004793
(ldl_PRSmixPlus_eur)
PSS011499|
European Ancestry|
4,026 individuals
PGP000604 |
Truong B et al. Cell Genom (2024)
Reported Trait: Low-density lipoprotein Incremental R2 (Full model versus model with only covariates): 0.077 [0.061, 0.093] age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 Incremental R2 (Full model versus model with only covariates)
PPM021019 PGS004794
(ldl_PRSmixPlus_sas)
PSS011500|
South Asian Ancestry|
5,735 individuals
PGP000604 |
Truong B et al. Cell Genom (2024)
Reported Trait: Low-density lipoprotein Incremental R2 (Full model versus model with only covariates): 0.121 [0.105, 0.137] age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 Incremental R2 (Full model versus model with only covariates)
PPM021020 PGS004795
(Melanoma_PRSmix_eur)
PSS011465|
European Ancestry|
9,462 individuals
PGP000604 |
Truong B et al. Cell Genom (2024)
Reported Trait: Melanoma Incremental R2 (Full model versus model with only covariates): 0.016 [0.011, 0.021] age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 Incremental R2 (Full model versus model with only covariates)
PPM021021 PGS004796
(Melanoma_PRSmixPlus_eur)
PSS011465|
European Ancestry|
9,462 individuals
PGP000604 |
Truong B et al. Cell Genom (2024)
Reported Trait: Melanoma Incremental R2 (Full model versus model with only covariates): 0.035 [0.027, 0.042] age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 Incremental R2 (Full model versus model with only covariates)
PPM021022 PGS004797
(migraine_PRSmix_eur)
PSS011465|
European Ancestry|
9,462 individuals
PGP000604 |
Truong B et al. Cell Genom (2024)
Reported Trait: Migraine Incremental R2 (Full model versus model with only covariates): 0.003 [0.001, 0.005] age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 Incremental R2 (Full model versus model with only covariates)
PPM021023 PGS004798
(migraine_PRSmix_sas)
PSS011474|
South Asian Ancestry|
8,837 individuals
PGP000604 |
Truong B et al. Cell Genom (2024)
Reported Trait: Migraine Incremental R2 (Full model versus model with only covariates): 0.004 [0.001, 0.006] age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 Incremental R2 (Full model versus model with only covariates)
PPM021024 PGS004799
(migraine_PRSmixPlus_eur)
PSS011465|
European Ancestry|
9,462 individuals
PGP000604 |
Truong B et al. Cell Genom (2024)
Reported Trait: Migraine Incremental R2 (Full model versus model with only covariates): 0.019 [0.013, 0.024] age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 Incremental R2 (Full model versus model with only covariates)
PPM021026 PGS004801
(Monocytes_PRSmix_eur)
PSS011501|
European Ancestry|
3,587 individuals
PGP000604 |
Truong B et al. Cell Genom (2024)
Reported Trait: Monocyte count Incremental R2 (Full model versus model with only covariates): 0.109 [0.09, 0.129] age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 Incremental R2 (Full model versus model with only covariates)
PPM021027 PGS004802
(Monocytes_PRSmix_sas)
PSS011467|
South Asian Ancestry|
7,098 individuals
PGP000604 |
Truong B et al. Cell Genom (2024)
Reported Trait: Monocyte count Incremental R2 (Full model versus model with only covariates): 0.13 [0.115, 0.144] age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 Incremental R2 (Full model versus model with only covariates)
PPM021028 PGS004803
(Monocytes_PRSmixPlus_eur)
PSS011501|
European Ancestry|
3,587 individuals
PGP000604 |
Truong B et al. Cell Genom (2024)
Reported Trait: Monocyte count Incremental R2 (Full model versus model with only covariates): 0.117 [0.097, 0.137] age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 Incremental R2 (Full model versus model with only covariates)
PPM021029 PGS004804
(Monocytes_PRSmixPlus_sas)
PSS011467|
South Asian Ancestry|
7,098 individuals
PGP000604 |
Truong B et al. Cell Genom (2024)
Reported Trait: Monocyte count Incremental R2 (Full model versus model with only covariates): 0.138 [0.123, 0.153] age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 Incremental R2 (Full model versus model with only covariates)
PPM021030 PGS004805
(Neutrophils_PRSmix_eur)
PSS011502|
European Ancestry|
3,495 individuals
PGP000604 |
Truong B et al. Cell Genom (2024)
Reported Trait: Neutrophil count Incremental R2 (Full model versus model with only covariates): 0.057 [0.042, 0.072] age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 Incremental R2 (Full model versus model with only covariates)
PPM021031 PGS004806
(Neutrophils_PRSmix_sas)
PSS011468|
South Asian Ancestry|
7,099 individuals
PGP000604 |
Truong B et al. Cell Genom (2024)
Reported Trait: Neutrophil count Incremental R2 (Full model versus model with only covariates): 0.05 [0.04, 0.06] age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 Incremental R2 (Full model versus model with only covariates)
PPM021033 PGS004808
(Neutrophils_PRSmixPlus_sas)
PSS011468|
South Asian Ancestry|
7,099 individuals
PGP000604 |
Truong B et al. Cell Genom (2024)
Reported Trait: Neutrophil count Incremental R2 (Full model versus model with only covariates): 0.055 [0.045, 0.066] age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 Incremental R2 (Full model versus model with only covariates)
PPM021034 PGS004809
(osteoporosis_PRSmix_eur)
PSS011465|
European Ancestry|
9,462 individuals
PGP000604 |
Truong B et al. Cell Genom (2024)
Reported Trait: Osteoporosis Incremental R2 (Full model versus model with only covariates): 0.011 [0.007, 0.015] age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 Incremental R2 (Full model versus model with only covariates)
PPM021035 PGS004810
(osteoporosis_PRSmixPlus_eur)
PSS011465|
European Ancestry|
9,462 individuals
PGP000604 |
Truong B et al. Cell Genom (2024)
Reported Trait: Osteoporosis Incremental R2 (Full model versus model with only covariates): 0.022 [0.016, 0.028] age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 Incremental R2 (Full model versus model with only covariates)
PPM021036 PGS004811
(Platelets_PRSmix_eur)
PSS011470|
European Ancestry|
5,341 individuals
PGP000604 |
Truong B et al. Cell Genom (2024)
Reported Trait: Platelet count Incremental R2 (Full model versus model with only covariates): 0.135 [0.118, 0.152] age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 Incremental R2 (Full model versus model with only covariates)
PPM021037 PGS004812
(Platelets_PRSmix_sas)
PSS011471|
South Asian Ancestry|
7,072 individuals
PGP000604 |
Truong B et al. Cell Genom (2024)
Reported Trait: Platelet count Incremental R2 (Full model versus model with only covariates): 0.13 [0.115, 0.144] age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 Incremental R2 (Full model versus model with only covariates)
PPM021038 PGS004813
(Platelets_PRSmixPlus_eur)
PSS011470|
European Ancestry|
5,341 individuals
PGP000604 |
Truong B et al. Cell Genom (2024)
Reported Trait: Platelet count Incremental R2 (Full model versus model with only covariates): 0.139 [0.121, 0.156] age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 Incremental R2 (Full model versus model with only covariates)
PPM021039 PGS004814
(Platelets_PRSmixPlus_sas)
PSS011471|
South Asian Ancestry|
7,072 individuals
PGP000604 |
Truong B et al. Cell Genom (2024)
Reported Trait: Platelet count Incremental R2 (Full model versus model with only covariates): 0.135 [0.12, 0.15] age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 Incremental R2 (Full model versus model with only covariates)
PPM021040 PGS004815
(prostate_cancer_PRSmix_eur)
PSS011469|
European Ancestry|
3,782 individuals
PGP000604 |
Truong B et al. Cell Genom (2024)
Reported Trait: Prostate cancer Incremental R2 (Full model versus model with only covariates): 0.112 [0.093, 0.131] age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 Incremental R2 (Full model versus model with only covariates)
PPM021041 PGS004816
(prostate_cancer_PRSmixPlus_eur)
PSS011469|
European Ancestry|
3,782 individuals
PGP000604 |
Truong B et al. Cell Genom (2024)
Reported Trait: Prostate cancer Incremental R2 (Full model versus model with only covariates): 0.112 [0.093, 0.131] age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 Incremental R2 (Full model versus model with only covariates)
PPM021042 PGS004817
(RA_PRSmix_eur)
PSS011465|
European Ancestry|
9,462 individuals
PGP000604 |
Truong B et al. Cell Genom (2024)
Reported Trait: Rheumatoid Arthritis Incremental R2 (Full model versus model with only covariates): 0.008 [0.004, 0.012] age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 Incremental R2 (Full model versus model with only covariates)
PPM021043 PGS004818
(RA_PRSmix_sas)
PSS011474|
South Asian Ancestry|
8,837 individuals
PGP000604 |
Truong B et al. Cell Genom (2024)
Reported Trait: Rheumatoid Arthritis Incremental R2 (Full model versus model with only covariates): 0.008 [0.005, 0.012] age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 Incremental R2 (Full model versus model with only covariates)
PPM021044 PGS004819
(RA_PRSmixPlus_eur)
PSS011465|
European Ancestry|
9,462 individuals
PGP000604 |
Truong B et al. Cell Genom (2024)
Reported Trait: Rheumatoid Arthritis Incremental R2 (Full model versus model with only covariates): 0.011 [0.007, 0.015] age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 Incremental R2 (Full model versus model with only covariates)
PPM021045 PGS004820
(RA_PRSmixPlus_sas)
PSS011474|
South Asian Ancestry|
8,837 individuals
PGP000604 |
Truong B et al. Cell Genom (2024)
Reported Trait: Rheumatoid Arthritis Incremental R2 (Full model versus model with only covariates): 0.009 [0.005, 0.013] age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 Incremental R2 (Full model versus model with only covariates)
PPM021046 PGS004821
(RBC_PRSmix_eur)
PSS011503|
European Ancestry|
5,163 individuals
PGP000604 |
Truong B et al. Cell Genom (2024)
Reported Trait: Red blood count Incremental R2 (Full model versus model with only covariates): 0.08 [0.066, 0.094] age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 Incremental R2 (Full model versus model with only covariates)
PPM021047 PGS004822
(RBC_PRSmix_sas)
PSS011472|
South Asian Ancestry|
7,055 individuals
PGP000604 |
Truong B et al. Cell Genom (2024)
Reported Trait: Red blood count Incremental R2 (Full model versus model with only covariates): 0.039 [0.031, 0.048] age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 Incremental R2 (Full model versus model with only covariates)
PPM021048 PGS004823
(RBC_PRSmixPlus_eur)
PSS011503|
European Ancestry|
5,163 individuals
PGP000604 |
Truong B et al. Cell Genom (2024)
Reported Trait: Red blood count Incremental R2 (Full model versus model with only covariates): 0.083 [0.068, 0.097] age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 Incremental R2 (Full model versus model with only covariates)
PPM021049 PGS004824
(RBC_PRSmixPlus_sas)
PSS011472|
South Asian Ancestry|
7,055 individuals
PGP000604 |
Truong B et al. Cell Genom (2024)
Reported Trait: Red blood count Incremental R2 (Full model versus model with only covariates): 0.041 [0.031, 0.05] age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 Incremental R2 (Full model versus model with only covariates)
PPM021050 PGS004825
(RDW_PRSmix_eur)
PSS011504|
European Ancestry|
5,060 individuals
PGP000604 |
Truong B et al. Cell Genom (2024)
Reported Trait: Red cell distribution width Incremental R2 (Full model versus model with only covariates): 0.076 [0.062, 0.09] age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 Incremental R2 (Full model versus model with only covariates)
PPM021051 PGS004826
(RDW_PRSmix_sas)
PSS011473|
South Asian Ancestry|
6,847 individuals
PGP000604 |
Truong B et al. Cell Genom (2024)
Reported Trait: Red cell distribution width Incremental R2 (Full model versus model with only covariates): 0.04 [0.031, 0.049] age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 Incremental R2 (Full model versus model with only covariates)
PPM021052 PGS004827
(RDW_PRSmixPlus_eur)
PSS011504|
European Ancestry|
5,060 individuals
PGP000604 |
Truong B et al. Cell Genom (2024)
Reported Trait: Red cell distribution width Incremental R2 (Full model versus model with only covariates): 0.093 [0.078, 0.108] age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 Incremental R2 (Full model versus model with only covariates)
PPM021053 PGS004828
(RDW_PRSmixPlus_sas)
PSS011473|
South Asian Ancestry|
6,847 individuals
PGP000604 |
Truong B et al. Cell Genom (2024)
Reported Trait: Red cell distribution width Incremental R2 (Full model versus model with only covariates): 0.047 [0.037, 0.056] age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 Incremental R2 (Full model versus model with only covariates)
PPM021054 PGS004829
(sbp_PRSmix_eur)
PSS011465|
European Ancestry|
9,462 individuals
PGP000604 |
Truong B et al. Cell Genom (2024)
Reported Trait: Systolic blood pressure Incremental R2 (Full model versus model with only covariates): 0.037 [0.029, 0.044] age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 Incremental R2 (Full model versus model with only covariates)
PPM021055 PGS004830
(sbp_PRSmix_sas)
PSS011505|
South Asian Ancestry|
7,188 individuals
PGP000604 |
Truong B et al. Cell Genom (2024)
Reported Trait: Systolic blood pressure Incremental R2 (Full model versus model with only covariates): 0.036 [0.027, 0.044] age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 Incremental R2 (Full model versus model with only covariates)
PPM021056 PGS004831
(sbp_PRSmixPlus_eur)
PSS011465|
European Ancestry|
9,462 individuals
PGP000604 |
Truong B et al. Cell Genom (2024)
Reported Trait: Systolic blood pressure Incremental R2 (Full model versus model with only covariates): 0.043 [0.035, 0.051] age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 Incremental R2 (Full model versus model with only covariates)
PPM021057 PGS004832
(sbp_PRSmixPlus_sas)
PSS011505|
South Asian Ancestry|
7,188 individuals
PGP000604 |
Truong B et al. Cell Genom (2024)
Reported Trait: Systolic blood pressure Incremental R2 (Full model versus model with only covariates): 0.044 [0.035, 0.054] age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 Incremental R2 (Full model versus model with only covariates)
PPM021058 PGS004833
(skin_cancer_PRSmix_eur)
PSS011465|
European Ancestry|
9,462 individuals
PGP000604 |
Truong B et al. Cell Genom (2024)
Reported Trait: Skin cancer Incremental R2 (Full model versus model with only covariates): 0.062 [0.052, 0.071] age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 Incremental R2 (Full model versus model with only covariates)
PPM021059 PGS004834
(skin_cancer_PRSmixPlus_eur)
PSS011465|
European Ancestry|
9,462 individuals
PGP000604 |
Truong B et al. Cell Genom (2024)
Reported Trait: Skin cancer Incremental R2 (Full model versus model with only covariates): 0.074 [0.063, 0.084] age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 Incremental R2 (Full model versus model with only covariates)
PPM021060 PGS004835
(stroke_PRSmix_eur)
PSS011506|
European Ancestry|
7,889 individuals
PGP000604 |
Truong B et al. Cell Genom (2024)
Reported Trait: Stroke Incremental R2 (Full model versus model with only covariates): 0.007 [0.003, 0.01] age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 Incremental R2 (Full model versus model with only covariates)
PPM021061 PGS004836
(stroke_PRSmixPlus_eur)
PSS011506|
European Ancestry|
7,889 individuals
PGP000604 |
Truong B et al. Cell Genom (2024)
Reported Trait: Stroke Incremental R2 (Full model versus model with only covariates): 0.017 [0.011, 0.022] age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 Incremental R2 (Full model versus model with only covariates)
PPM021062 PGS004837
(t2d_PRSmix_eur)
PSS011507|
European Ancestry|
7,879 individuals
PGP000604 |
Truong B et al. Cell Genom (2024)
Reported Trait: Type 2 diabetes Incremental R2 (Full model versus model with only covariates): 0.099 [0.087, 0.112] age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 Incremental R2 (Full model versus model with only covariates)
PPM021063 PGS004838
(t2d_PRSmix_sas)
PSS011474|
South Asian Ancestry|
8,837 individuals
PGP000604 |
Truong B et al. Cell Genom (2024)
Reported Trait: Type 2 diabetes Incremental R2 (Full model versus model with only covariates): 0.061 [0.051, 0.07] age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 Incremental R2 (Full model versus model with only covariates)
PPM021064 PGS004839
(t2d_PRSmixPlus_eur)
PSS011507|
European Ancestry|
7,879 individuals
PGP000604 |
Truong B et al. Cell Genom (2024)
Reported Trait: Type 2 diabetes Incremental R2 (Full model versus model with only covariates): 0.129 [0.115, 0.143] age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 Incremental R2 (Full model versus model with only covariates)
PPM021065 PGS004840
(t2d_PRSmixPlus_sas)
PSS011474|
South Asian Ancestry|
8,837 individuals
PGP000604 |
Truong B et al. Cell Genom (2024)
Reported Trait: Type 2 diabetes Incremental R2 (Full model versus model with only covariates): 0.065 [0.055, 0.075] age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 Incremental R2 (Full model versus model with only covariates)
PPM021066 PGS004841
(tc_PRSmix_eur)
PSS011508|
European Ancestry|
4,193 individuals
PGP000604 |
Truong B et al. Cell Genom (2024)
Reported Trait: Total cholesterol Incremental R2 (Full model versus model with only covariates): 0.086 [0.07, 0.103] age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 Incremental R2 (Full model versus model with only covariates)
PPM021067 PGS004842
(tc_PRSmix_sas)
PSS011509|
South Asian Ancestry|
5,731 individuals
PGP000604 |
Truong B et al. Cell Genom (2024)
Reported Trait: Total cholesterol Incremental R2 (Full model versus model with only covariates): 0.112 [0.097, 0.128] age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 Incremental R2 (Full model versus model with only covariates)
PPM021068 PGS004843
(tc_PRSmixPlus_eur)
PSS011508|
European Ancestry|
4,193 individuals
PGP000604 |
Truong B et al. Cell Genom (2024)
Reported Trait: Total cholesterol Incremental R2 (Full model versus model with only covariates): 0.102 [0.085, 0.12] age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 Incremental R2 (Full model versus model with only covariates)
PPM021069 PGS004844
(tc_PRSmixPlus_sas)
PSS011509|
South Asian Ancestry|
5,731 individuals
PGP000604 |
Truong B et al. Cell Genom (2024)
Reported Trait: Total cholesterol Incremental R2 (Full model versus model with only covariates): 0.127 [0.111, 0.143] age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 Incremental R2 (Full model versus model with only covariates)
PPM021070 PGS004845
(tg_PRSmix_eur)
PSS011510|
European Ancestry|
4,099 individuals
PGP000604 |
Truong B et al. Cell Genom (2024)
Reported Trait: Triglycerides Incremental R2 (Full model versus model with only covariates): 0.113 [0.094, 0.131] age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 Incremental R2 (Full model versus model with only covariates)
PPM020926 PGS004701
(a1c_PRSmix_eur)
PSS011478|
European Ancestry|
1,543 individuals
PGP000604 |
Truong B et al. Cell Genom (2024)
Reported Trait: A1c Incremental R2 (Full model versus model with only covariates): 0.068 [0.044, 0.093] age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 Incremental R2 (Full model versus model with only covariates)
PPM020952 PGS004727
(Basophils_PRSmix_eur)
PSS011482|
European Ancestry|
3,385 individuals
PGP000604 |
Truong B et al. Cell Genom (2024)
Reported Trait: Basophil count Incremental R2 (Full model versus model with only covariates): 0.014 [0.006, 0.022] age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 Incremental R2 (Full model versus model with only covariates)
PPM020955 PGS004730
(Basophils_PRSmixPlus_sas)
PSS011463|
South Asian Ancestry|
7,096 individuals
PGP000604 |
Truong B et al. Cell Genom (2024)
Reported Trait: Basophil count Incremental R2 (Full model versus model with only covariates): 0.03 [0.022, 0.038] age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 Incremental R2 (Full model versus model with only covariates)
PPM020992 PGS004767
(gout_PRSmix_eur)
PSS011465|
European Ancestry|
9,462 individuals
PGP000604 |
Truong B et al. Cell Genom (2024)
Reported Trait: Gout Incremental R2 (Full model versus model with only covariates): 0.061 [0.052, 0.071] age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 Incremental R2 (Full model versus model with only covariates)
PPM021025 PGS004800
(migraine_PRSmixPlus_sas)
PSS011474|
South Asian Ancestry|
8,837 individuals
PGP000604 |
Truong B et al. Cell Genom (2024)
Reported Trait: Migraine Incremental R2 (Full model versus model with only covariates): 0.011 [0.007, 0.016] age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 Incremental R2 (Full model versus model with only covariates)
PPM021032 PGS004807
(Neutrophils_PRSmixPlus_eur)
PSS011502|
European Ancestry|
3,495 individuals
PGP000604 |
Truong B et al. Cell Genom (2024)
Reported Trait: Neutrophil count Incremental R2 (Full model versus model with only covariates): 0.065 [0.049, 0.081] age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 Incremental R2 (Full model versus model with only covariates)
PPM021071 PGS004846
(tg_PRSmix_sas)
PSS011511|
South Asian Ancestry|
5,776 individuals
PGP000604 |
Truong B et al. Cell Genom (2024)
Reported Trait: Triglycerides Incremental R2 (Full model versus model with only covariates): 0.108 [0.093, 0.123] age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 Incremental R2 (Full model versus model with only covariates)
PPM021072 PGS004847
(tg_PRSmixPlus_eur)
PSS011510|
European Ancestry|
4,099 individuals
PGP000604 |
Truong B et al. Cell Genom (2024)
Reported Trait: Triglycerides Incremental R2 (Full model versus model with only covariates): 0.131 [0.112, 0.151] age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 Incremental R2 (Full model versus model with only covariates)
PPM021073 PGS004848
(tg_PRSmixPlus_sas)
PSS011511|
South Asian Ancestry|
5,776 individuals
PGP000604 |
Truong B et al. Cell Genom (2024)
Reported Trait: Triglycerides Incremental R2 (Full model versus model with only covariates): 0.112 [0.096, 0.127] age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 Incremental R2 (Full model versus model with only covariates)
PPM021074 PGS004849
(Total_protein_PRSmix_sas)
PSS011476|
South Asian Ancestry|
6,486 individuals
PGP000604 |
Truong B et al. Cell Genom (2024)
Reported Trait: Total protein measurement Incremental R2 (Full model versus model with only covariates): 0.058 [0.047, 0.069] age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 Incremental R2 (Full model versus model with only covariates)
PPM021075 PGS004850
(Total_protein_PRSmixPlus_sas)
PSS011476|
South Asian Ancestry|
6,486 individuals
PGP000604 |
Truong B et al. Cell Genom (2024)
Reported Trait: Total protein measurement Incremental R2 (Full model versus model with only covariates): 0.059 [0.048, 0.07] age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 Incremental R2 (Full model versus model with only covariates)
PPM021076 PGS004851
(TotalProtein_PRSmix_eur)
PSS011475|
European Ancestry|
5,330 individuals
PGP000604 |
Truong B et al. Cell Genom (2024)
Reported Trait: Total protein measurement Incremental R2 (Full model versus model with only covariates): 0.04 [0.03, 0.051] age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 Incremental R2 (Full model versus model with only covariates)
PPM021077 PGS004852
(TotalProtein_PRSmixPlus_eur)
PSS011475|
European Ancestry|
5,330 individuals
PGP000604 |
Truong B et al. Cell Genom (2024)
Reported Trait: Total protein measurement Incremental R2 (Full model versus model with only covariates): 0.041 [0.03, 0.051] age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 Incremental R2 (Full model versus model with only covariates)
PPM021078 PGS004853
(VTE_PRSmix_eur)
PSS011465|
European Ancestry|
9,462 individuals
PGP000604 |
Truong B et al. Cell Genom (2024)
Reported Trait: venous thromboembolism Incremental R2 (Full model versus model with only covariates): 0.047 [0.039, 0.056] age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 Incremental R2 (Full model versus model with only covariates)
PPM021079 PGS004854
(VTE_PRSmixPlus_eur)
PSS011465|
European Ancestry|
9,462 individuals
PGP000604 |
Truong B et al. Cell Genom (2024)
Reported Trait: venous thromboembolism Incremental R2 (Full model versus model with only covariates): 0.058 [0.049, 0.067] age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 Incremental R2 (Full model versus model with only covariates)
PPM021080 PGS004855
(WBC_PRSmix_eur)
PSS011512|
European Ancestry|
5,118 individuals
PGP000604 |
Truong B et al. Cell Genom (2024)
Reported Trait: White blood count Incremental R2 (Full model versus model with only covariates): 0.075 [0.061, 0.089] age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 Incremental R2 (Full model versus model with only covariates)
PPM021081 PGS004856
(WBC_PRSmix_sas)
PSS011477|
South Asian Ancestry|
7,058 individuals
PGP000604 |
Truong B et al. Cell Genom (2024)
Reported Trait: White blood count Incremental R2 (Full model versus model with only covariates): 0.084 [0.072, 0.097] age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 Incremental R2 (Full model versus model with only covariates)
PPM021082 PGS004857
(WBC_PRSmixPlus_eur)
PSS011512|
European Ancestry|
5,118 individuals
PGP000604 |
Truong B et al. Cell Genom (2024)
Reported Trait: White blood count Incremental R2 (Full model versus model with only covariates): 0.085 [0.071, 0.1] age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 Incremental R2 (Full model versus model with only covariates)
PPM021083 PGS004858
(WBC_PRSmixPlus_sas)
PSS011477|
South Asian Ancestry|
7,058 individuals
PGP000604 |
Truong B et al. Cell Genom (2024)
Reported Trait: White blood count Incremental R2 (Full model versus model with only covariates): 0.089 [0.076, 0.102] age, sex, PC1, PC2, PC3, PC4, PC5, PC6, PC7, PC8, PC9, PC10 Incremental R2 (Full model versus model with only covariates)

Evaluated Samples

PGS Sample Set ID
(PSS)
Phenotype Definitions and Methods Participant Follow-up Time Sample Numbers Age of Study Participants Sample Ancestry Additional Ancestry Description Cohort(s) Additional Sample/Cohort Information
PSS011455 5,351 individuals European AllofUs
PSS011456 6,795 individuals South Asian G&H
PSS011457 5,247 individuals European AllofUs
PSS011458 6,794 individuals South Asian G&H
PSS011459 2,710 individuals South Asian G&H
PSS011460 6,864 individuals South Asian G&H
PSS011461 5,760 individuals European AllofUs
PSS011462 6,087 individuals South Asian G&H
PSS011463 7,096 individuals South Asian G&H
PSS011464 7,056 individuals South Asian G&H
PSS011465 9,462 individuals European AllofUs
PSS011466 5,325 individuals European AllofUs
PSS011467 7,098 individuals South Asian G&H
PSS011468 7,099 individuals South Asian G&H
PSS011469 3,782 individuals European AllofUs
PSS011470 5,341 individuals European AllofUs
PSS011471 7,072 individuals South Asian G&H
PSS011472 7,055 individuals South Asian G&H
PSS011473 6,847 individuals South Asian G&H
PSS011474 8,837 individuals South Asian G&H
PSS011475 5,330 individuals European AllofUs
PSS011476 6,486 individuals South Asian G&H
PSS011477 7,058 individuals South Asian G&H
PSS011478 1,543 individuals European AllofUs
PSS011479 6,414 individuals South Asian G&H
PSS011480 4,879 individuals European AllofUs
PSS011481 4,728 individuals European AllofUs
PSS011482 3,385 individuals European AllofUs
PSS011483 5,157 individuals European AllofUs
PSS011484 8,967 individuals European AllofUs
PSS011485 6,644 individuals South Asian G&H
PSS011486 5,680 individuals European AllofUs
PSS011487 7,465 individuals European AllofUs
PSS011488 5,758 individuals European AllofUs
PSS011489 6,954 individuals South Asian G&H
PSS011490 9,316 individuals European AllofUs
PSS011491 7,185 individuals South Asian G&H
PSS011492 3,464 individuals European AllofUs
PSS011493 5,174 individuals European AllofUs
PSS011494 5,766 individuals South Asian G&H
PSS011495 4,000 individuals European AllofUs
PSS011496 6,047 individuals South Asian G&H
PSS011497 9,045 individuals European AllofUs
PSS011498 6,835 individuals South Asian G&H
PSS011499 4,026 individuals European AllofUs
PSS011500 5,735 individuals South Asian G&H
PSS011501 3,587 individuals European AllofUs
PSS011502 3,495 individuals European AllofUs
PSS011503 5,163 individuals European AllofUs
PSS011504 5,060 individuals European AllofUs
PSS011505 7,188 individuals South Asian G&H
PSS011506 7,889 individuals European AllofUs
PSS011507 7,879 individuals European AllofUs
PSS011508 4,193 individuals European AllofUs
PSS011509 5,731 individuals South Asian G&H
PSS011510 4,099 individuals European AllofUs
PSS011511 5,776 individuals South Asian G&H
PSS011512 5,118 individuals European AllofUs