PGS Catalog - Truong B, Cell Genom (2024) (Publication)

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)

PGS Developed By This Publication

Polygenic Score ID & Name	PGS Publication ID (PGP)	Reported Trait	Mapped Trait(s) (Ontology)	Number of Variants	Ancestry distribution GWAS Dev Eval	Scoring File (FTP Link)
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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	major depressive disorder	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	major depressive disorder	2,141,267	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004760/ScoringFiles/PGS004760.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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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

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
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)
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)
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	—