PGS Catalog - body height [EFO:0004339] (Polygenic Trait)

Trait: body height

Experimental Factor Ontology (EFO) Information
Identifier	EFO_0004339
Description	The distance from the sole to the crown of the head with body standing on a flat surface and fully extended.
Trait category	Body measurement
Synonym	height
Mapped terms	3 mapped terms MeSH:D001827 MedDRA:10005891 NCIt:C25347

Associated Polygenic Score(s)

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)
PGS000297 (GRS3290_Height)	PGP000092 \| Xie T et al. Circ Genom Precis Med (2020)	Height	body height	3,290	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000297/ScoringFiles/PGS000297.txt.gz
PGS000758 (LASSO_Height)	PGP000163 \| Lu T et al. J Clin Endocrinol Metab (2021)	Adult standing height	body height	33,938		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS000758/ScoringFiles/PGS000758.txt.gz - Check Terms/Licenses
PGS001229 (GBE_INI50)	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Standing height	body height	51,209	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001229/ScoringFiles/PGS001229.txt.gz
PGS001405 (GBE_INI12144)	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Height	body height	3,166	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001405/ScoringFiles/PGS001405.txt.gz
PGS001929 (portability-PLR_height)	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Standing height	body height	156,514	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS001929/ScoringFiles/PGS001929.txt.gz
PGS002146 (portability-ldpred2_height)	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Standing height	body height	922,538	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002146/ScoringFiles/PGS002146.txt.gz
PGS002332 (body_HEIGHTz.BOLT-LMM)	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Height	body height	1,109,311	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002332/ScoringFiles/PGS002332.txt.gz
PGS002368 (body_HEIGHTz.BOLT-LMM-BBJ)	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Height	body height	920,927	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002368/ScoringFiles/PGS002368.txt.gz
PGS002404 (body_HEIGHTz.P+T.0.0001)	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Height	body height	56,984	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002404/ScoringFiles/PGS002404.txt.gz
PGS002453 (body_HEIGHTz.P+T.0.001)	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Height	body height	103,911	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002453/ScoringFiles/PGS002453.txt.gz
PGS002502 (body_HEIGHTz.P+T.0.01)	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Height	body height	262,080	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002502/ScoringFiles/PGS002502.txt.gz
PGS002551 (body_HEIGHTz.P+T.1e-06)	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Height	body height	27,070	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002551/ScoringFiles/PGS002551.txt.gz
PGS002600 (body_HEIGHTz.P+T.5e-08)	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Height	body height	18,937	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002600/ScoringFiles/PGS002600.txt.gz
PGS002649 (body_HEIGHTz.PolyFun-pred)	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Height	body height	478,839	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002649/ScoringFiles/PGS002649.txt.gz
PGS002698 (body_HEIGHTz.SBayesR)	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Height	body height	986,966	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002698/ScoringFiles/PGS002698.txt.gz
PGS002748 (PRS_251)	PGP000361 \| Chiou JS et al. BMC Med (2022)	Height	body height	251	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002748/ScoringFiles/PGS002748.txt.gz
PGS002800 (GIANT_HEIGHT_YENGO_2022_PGS_WEIGHTS_SAS)	PGP000382 \| Yengo L et al. Nature (2022)	Height	body height	1,156,741	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002800/ScoringFiles/PGS002800.txt.gz
PGS002801 (GIANT_HEIGHT_YENGO_2022_PGS_WEIGHTS_AFR)	PGP000382 \| Yengo L et al. Nature (2022)	Height	body height	975,455	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002801/ScoringFiles/PGS002801.txt.gz
PGS002802 (GIANT_HEIGHT_YENGO_2022_PGS_WEIGHTS_ALL)	PGP000382 \| Yengo L et al. Nature (2022)	Height	body height	1,103,042	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002802/ScoringFiles/PGS002802.txt.gz
PGS002803 (GIANT_HEIGHT_YENGO_2022_PGS_WEIGHTS_EAS)	PGP000382 \| Yengo L et al. Nature (2022)	Height	body height	990,792	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002803/ScoringFiles/PGS002803.txt.gz
PGS002804 (GIANT_HEIGHT_YENGO_2022_PGS_WEIGHTS_EUR)	PGP000382 \| Yengo L et al. Nature (2022)	Height	body height	1,099,005	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002804/ScoringFiles/PGS002804.txt.gz
PGS002805 (GIANT_HEIGHT_YENGO_2022_PGS_WEIGHTS_HIS)	PGP000382 \| Yengo L et al. Nature (2022)	Height	body height	1,245,514	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002805/ScoringFiles/PGS002805.txt.gz
PGS002964 (ExPRSweb_Height_50-irnt_LASSOSUM_MGI_20211120)	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Height	body height	1,291,379		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002964/ScoringFiles/PGS002964.txt.gz
PGS002965 (ExPRSweb_Height_50-irnt_PT_MGI_20211120)	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Height	body height	34,284		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002965/ScoringFiles/PGS002965.txt.gz
PGS002966 (ExPRSweb_Height_50-irnt_PLINK_MGI_20211120)	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Height	body height	49,307		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002966/ScoringFiles/PGS002966.txt.gz
PGS002967 (ExPRSweb_Height_50-irnt_DBSLMM_MGI_20211120)	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Height	body height	10,297,259		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002967/ScoringFiles/PGS002967.txt.gz
PGS002968 (ExPRSweb_Height_50-irnt_PRSCS_MGI_20211120)	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Height	body height	1,113,832		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002968/ScoringFiles/PGS002968.txt.gz
PGS002969 (ExPRSweb_Height_50-raw_LASSOSUM_MGI_20211120)	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Height	body height	1,296,068		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002969/ScoringFiles/PGS002969.txt.gz
PGS002970 (ExPRSweb_Height_50-raw_PT_MGI_20211120)	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Height	body height	31,805		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002970/ScoringFiles/PGS002970.txt.gz
PGS002971 (ExPRSweb_Height_50-raw_PLINK_MGI_20211120)	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Height	body height	44,500		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002971/ScoringFiles/PGS002971.txt.gz
PGS002972 (ExPRSweb_Height_50-raw_DBSLMM_MGI_20211120)	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Height	body height	10,297,262		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002972/ScoringFiles/PGS002972.txt.gz
PGS002973 (ExPRSweb_Height_50-raw_PRSCS_MGI_20211120)	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Height	body height	1,113,832		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002973/ScoringFiles/PGS002973.txt.gz
PGS002974 (ExPRSweb_Height_GIANT-Yang2012-height_LASSOSUM_MGI_20211120)	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Height	body height	66,842		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002974/ScoringFiles/PGS002974.txt.gz
PGS002975 (ExPRSweb_Height_GIANT-Yang2012-height_PT_MGI_20211120)	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Height	body height	22,154		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002975/ScoringFiles/PGS002975.txt.gz
PGS002976 (ExPRSweb_Height_GIANT-Yang2012-height_PLINK_MGI_20211120)	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Height	body height	22,443		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002976/ScoringFiles/PGS002976.txt.gz
PGS002977 (ExPRSweb_Height_GIANT-Yang2012-height_DBSLMM_MGI_20211120)	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Height	body height	1,851,736		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002977/ScoringFiles/PGS002977.txt.gz
PGS002978 (ExPRSweb_Height_GIANT-Yang2012-height_PRSCS_MGI_20211120)	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Height	body height	996,356		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002978/ScoringFiles/PGS002978.txt.gz
PGS002979 (ExPRSweb_Height_ieu-a-89_LASSOSUM_MGI_20211120)	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Height	body height	280,347		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002979/ScoringFiles/PGS002979.txt.gz
PGS002980 (ExPRSweb_Height_ieu-a-89_PT_MGI_20211120)	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Height	body height	2,469		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002980/ScoringFiles/PGS002980.txt.gz
PGS002981 (ExPRSweb_Height_ieu-a-89_PLINK_MGI_20211120)	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Height	body height	2,500		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002981/ScoringFiles/PGS002981.txt.gz
PGS002982 (ExPRSweb_Height_ieu-a-89_DBSLMM_MGI_20211120)	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Height	body height	912,901		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002982/ScoringFiles/PGS002982.txt.gz
PGS002983 (ExPRSweb_Height_ieu-a-89_PRSCS_MGI_20211120)	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Height	body height	915,020		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002983/ScoringFiles/PGS002983.txt.gz
PGS002984 (ExPRSweb_Height_GIANT-Yang2012-height_LASSOSUM_UKB_20211120)	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Height	body height	67,333		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002984/ScoringFiles/PGS002984.txt.gz
PGS002985 (ExPRSweb_Height_GIANT-Yang2012-height_PT_UKB_20211120)	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Height	body height	31,267		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002985/ScoringFiles/PGS002985.txt.gz
PGS002986 (ExPRSweb_Height_GIANT-Yang2012-height_PLINK_UKB_20211120)	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Height	body height	31,700		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002986/ScoringFiles/PGS002986.txt.gz
PGS002987 (ExPRSweb_Height_GIANT-Yang2012-height_DBSLMM_UKB_20211120)	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Height	body height	1,661,426		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002987/ScoringFiles/PGS002987.txt.gz
PGS002988 (ExPRSweb_Height_GIANT-Yang2012-height_PRSCS_UKB_20211120)	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Height	body height	996,840		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002988/ScoringFiles/PGS002988.txt.gz
PGS002989 (ExPRSweb_Height_ieu-a-89_LASSOSUM_UKB_20211120)	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Height	body height	282,132		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002989/ScoringFiles/PGS002989.txt.gz
PGS002990 (ExPRSweb_Height_ieu-a-89_PT_UKB_20211120)	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Height	body height	6,903		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002990/ScoringFiles/PGS002990.txt.gz
PGS002991 (ExPRSweb_Height_ieu-a-89_PLINK_UKB_20211120)	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Height	body height	7,080		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002991/ScoringFiles/PGS002991.txt.gz
PGS002992 (ExPRSweb_Height_ieu-a-89_DBSLMM_UKB_20211120)	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Height	body height	464,103		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002992/ScoringFiles/PGS002992.txt.gz
PGS002993 (ExPRSweb_Height_ieu-a-89_PRSCS_UKB_20211120)	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Height	body height	915,553		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS002993/ScoringFiles/PGS002993.txt.gz
PGS003514 (cont-decay-height)	PGP000457 \| Ding Y et al. bioRxiv (2022) \|Pre	Standing height	body height	979,739	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003514/ScoringFiles/PGS003514.txt.gz
PGS003835 (height_EUR_CT)	PGP000489 \| Zhang H et al. Nat Genet (2023)	Height	body height	4,847		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003835/ScoringFiles/PGS003835.txt.gz
PGS003836 (height_EUR_LDpred2)	PGP000489 \| Zhang H et al. Nat Genet (2023)	Height	body height	564,325		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003836/ScoringFiles/PGS003836.txt.gz
PGS003837 (height_AFR_CT)	PGP000489 \| Zhang H et al. Nat Genet (2023)	Height	body height	49		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003837/ScoringFiles/PGS003837.txt.gz
PGS003838 (height_AFR_LDpred2)	PGP000489 \| Zhang H et al. Nat Genet (2023)	Height	body height	752,195		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003838/ScoringFiles/PGS003838.txt.gz
PGS003839 (height_AFR_weighted_LDpred2)	PGP000489 \| Zhang H et al. Nat Genet (2023)	Height	body height	817,204		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003839/ScoringFiles/PGS003839.txt.gz
PGS003840 (height_AFR_PRSCSx)	PGP000489 \| Zhang H et al. Nat Genet (2023)	Height	body height	300,880		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003840/ScoringFiles/PGS003840.txt.gz
PGS003841 (height_AFR_CTSLEB)	PGP000489 \| Zhang H et al. Nat Genet (2023)	Height	body height	741,637		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003841/ScoringFiles/PGS003841.txt.gz
PGS003888 (Height_PRScsx_ARB_AMRweights)	PGP000501 \| Shim I et al. Nature Communications (2023)	Height	body height	1,067,771	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003888/ScoringFiles/PGS003888.txt.gz
PGS003889 (Height_PRScsx_ARB_ARBweights)	PGP000501 \| Shim I et al. Nature Communications (2023)	Height	body height	882,001	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003889/ScoringFiles/PGS003889.txt.gz
PGS003890 (Height_PRScsx_ARB_EASweights)	PGP000501 \| Shim I et al. Nature Communications (2023)	Height	body height	941,406	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003890/ScoringFiles/PGS003890.txt.gz
PGS003891 (Height_PRScsx_ARB_EURweights)	PGP000501 \| Shim I et al. Nature Communications (2023)	Height	body height	921,738	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003891/ScoringFiles/PGS003891.txt.gz
PGS003895 (INI50)	PGP000502 \| Tanigawa Y et al. AJHG (2023)	Standing height	body height	62,419	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003895/ScoringFiles/PGS003895.txt.gz
PGS003995 (dbslmm.auto.GCST90018959.Height)	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Height	body height	1,119,867	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003995/ScoringFiles/PGS003995.txt.gz
PGS004011 (lassosum.auto.GCST90018959.Height)	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Height	body height	315,596	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004011/ScoringFiles/PGS004011.txt.gz
PGS004036 (ldpred2.auto.GCST90018959.Height)	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Height	body height	929,939	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004036/ScoringFiles/PGS004036.txt.gz
PGS004065 (megaprs.auto.GCST90018959.Height)	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Height	body height	980,499	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004065/ScoringFiles/PGS004065.txt.gz
PGS004095 (prscs.auto.GCST90018959.Height)	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Height	body height	1,088,125	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004095/ScoringFiles/PGS004095.txt.gz
PGS004119 (pt_clump.auto.GCST90018959.Height)	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Height	body height	2,632	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004119/ScoringFiles/PGS004119.txt.gz
PGS004149 (sbayesr.auto.GCST90018959.Height)	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Height	body height	962,278	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004149/ScoringFiles/PGS004149.txt.gz
PGS004211 (height_1)	PGP000520 \| Raben TG et al. Sci Rep (2023)	Standing height	body height	21,950	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004211/ScoringFiles/PGS004211.txt.gz
PGS004212 (height_2)	PGP000520 \| Raben TG et al. Sci Rep (2023)	Standing height	body height	27,779	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004212/ScoringFiles/PGS004212.txt.gz
PGS004213 (height_3)	PGP000520 \| Raben TG et al. Sci Rep (2023)	Standing height	body height	21,984	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004213/ScoringFiles/PGS004213.txt.gz
PGS004214 (height_4)	PGP000520 \| Raben TG et al. Sci Rep (2023)	Standing height	body height	23,686	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004214/ScoringFiles/PGS004214.txt.gz
PGS004215 (height_5)	PGP000520 \| Raben TG et al. Sci Rep (2023)	Standing height	body height	22,938	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004215/ScoringFiles/PGS004215.txt.gz
PGS004407 (X50.score)	PGP000561 \| Jung H et al. Commun Biol (2024)	Standing height	body height	1,059,939	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004407/ScoringFiles/PGS004407.txt.gz
PGS004682 (height_AFR_lassosum2)	PGP000595 \| Zhang J et al. Nat Commun (2024)	Height	body height	906		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004682/ScoringFiles/PGS004682.txt.gz
PGS004683 (height_AFR_ldpred2)	PGP000595 \| Zhang J et al. Nat Commun (2024)	Height	body height	774,968		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004683/ScoringFiles/PGS004683.txt.gz
PGS004684 (height_AFR_PROSPER)	PGP000595 \| Zhang J et al. Nat Commun (2024)	Height	body height	859,897		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004684/ScoringFiles/PGS004684.txt.gz
PGS004685 (height_AFR_weighted_lassosum2)	PGP000595 \| Zhang J et al. Nat Commun (2024)	Height	body height	279,186		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004685/ScoringFiles/PGS004685.txt.gz
PGS004686 (height_AFR_weighted_ldpred2)	PGP000595 \| Zhang J et al. Nat Commun (2024)	Height	body height	872,587		https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004686/ScoringFiles/PGS004686.txt.gz
PGS004779 (height_PRSmix_eur)	PGP000604 \| Truong B et al. Cell Genom (2024)	Height	body height	1,357,287	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004779/ScoringFiles/PGS004779.txt.gz
PGS004780 (height_PRSmix_sas)	PGP000604 \| Truong B et al. Cell Genom (2024)	Height	body height	5,967,476	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004780/ScoringFiles/PGS004780.txt.gz
PGS004781 (height_PRSmixPlus_eur)	PGP000604 \| Truong B et al. Cell Genom (2024)	Height	body height	3,220,389	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004781/ScoringFiles/PGS004781.txt.gz
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
PGS004995 (mean_Height_INT_ldpred_AFRss_afrld)	PGP000679 \| Gunn S et al. HGG Adv (2024)	Height	body height	1,286,612	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004995/ScoringFiles/PGS004995.txt.gz
PGS004996 (mean_Height_INT_ldpred_EURss_eurld)	PGP000679 \| Gunn S et al. HGG Adv (2024)	Height	body height	1,286,612	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004996/ScoringFiles/PGS004996.txt.gz
PGS004997 (mean_Height_INT_ldpred_HISss_amrld)	PGP000679 \| Gunn S et al. HGG Adv (2024)	Height	body height	1,286,612	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004997/ScoringFiles/PGS004997.txt.gz
PGS004998 (mean_Height_INT_ldpred_METAss_afrld)	PGP000679 \| Gunn S et al. HGG Adv (2024)	Height	body height	1,286,612	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004998/ScoringFiles/PGS004998.txt.gz
PGS004999 (mean_Height_INT_ldpred_METAss_amrld)	PGP000679 \| Gunn S et al. HGG Adv (2024)	Height	body height	1,286,612	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS004999/ScoringFiles/PGS004999.txt.gz
PGS005000 (mean_Height_INT_ldpred_METAss_eurld)	PGP000679 \| Gunn S et al. HGG Adv (2024)	Height	body height	1,286,612	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS005000/ScoringFiles/PGS005000.txt.gz
PGS005001 (mean_Height_INT_prscs_AFRss_afrld)	PGP000679 \| Gunn S et al. HGG Adv (2024)	Height	body height	1,273,897	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS005001/ScoringFiles/PGS005001.txt.gz
PGS005002 (mean_Height_INT_prscs_EURss_eurld)	PGP000679 \| Gunn S et al. HGG Adv (2024)	Height	body height	1,273,897	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS005002/ScoringFiles/PGS005002.txt.gz
PGS005003 (mean_Height_INT_prscs_HISss_amrld)	PGP000679 \| Gunn S et al. HGG Adv (2024)	Height	body height	1,273,897	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS005003/ScoringFiles/PGS005003.txt.gz
PGS005004 (mean_Height_INT_prscs_METAss_afrld)	PGP000679 \| Gunn S et al. HGG Adv (2024)	Height	body height	1,273,897	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS005004/ScoringFiles/PGS005004.txt.gz
PGS005005 (mean_Height_INT_prscs_METAss_amrld)	PGP000679 \| Gunn S et al. HGG Adv (2024)	Height	body height	1,273,897	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS005005/ScoringFiles/PGS005005.txt.gz
PGS005006 (mean_Height_INT_prscs_METAss_eurld)	PGP000679 \| Gunn S et al. HGG Adv (2024)	Height	body height	1,273,897	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS005006/ScoringFiles/PGS005006.txt.gz
PGS005007 (mean_Height_INT_prscsx_METAweight)	PGP000679 \| Gunn S et al. HGG Adv (2024)	Height	body height	1,277,825	-	https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS005007/ScoringFiles/PGS005007.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
PPM000757	PGS000297 (GRS3290_Height)	PSS000375\| European Ancestry\| 1,313 individuals	PGP000092 \| Xie T et al. Circ Genom Precis Med (2020)	Reported Trait: Height (cm)	—	—	R²: 0.1172	Sex, age	—
PPM000758	PGS000297 (GRS3290_Height)	PSS000376\| European Ancestry\| 1,354 individuals	PGP000092 \| Xie T et al. Circ Genom Precis Med (2020)	Reported Trait: Height (cm)	—	—	R²: 0.1368	Sex, age	—
PPM000759	PGS000297 (GRS3290_Height)	PSS000377\| European Ancestry\| 1,174 individuals	PGP000092 \| Xie T et al. Circ Genom Precis Med (2020)	Reported Trait: Height (cm)	—	—	R²: 0.1273	Sex, age	—
PPM000760	PGS000297 (GRS3290_Height)	PSS000378\| European Ancestry\| 1,095 individuals	PGP000092 \| Xie T et al. Circ Genom Precis Med (2020)	Reported Trait: Height (cm)	—	—	R²: 0.1382	Sex, age	—
PPM000756	PGS000297 (GRS3290_Height)	PSS000374\| European Ancestry\| 1,318 individuals	PGP000092 \| Xie T et al. Circ Genom Precis Med (2020)	Reported Trait: Height (cm)	—	—	R²: 0.1192	Sex, age	—
PPM000786	PGS000297 (GRS3290_Height)	PSS000369\| European Ancestry\| 334 individuals	PGP000092 \| Xie T et al. Circ Genom Precis Med (2020)	Reported Trait: Height (cm)	—	—	R²: 0.087	Sex, age	—
PPM000787	PGS000297 (GRS3290_Height)	PSS000370\| European Ancestry\| 329 individuals	PGP000092 \| Xie T et al. Circ Genom Precis Med (2020)	Reported Trait: Height (cm)	—	—	R²: 0.0755	Sex, age	—
PPM000788	PGS000297 (GRS3290_Height)	PSS000371\| European Ancestry\| 288 individuals	PGP000092 \| Xie T et al. Circ Genom Precis Med (2020)	Reported Trait: Height (cm)	—	—	R²: 0.0887	Sex, age	—
PPM000789	PGS000297 (GRS3290_Height)	PSS000372\| European Ancestry\| 265 individuals	PGP000092 \| Xie T et al. Circ Genom Precis Med (2020)	Reported Trait: Height (cm)	—	—	R²: 0.0986	Sex, age	—
PPM000790	PGS000297 (GRS3290_Height)	PSS000373\| European Ancestry\| 245 individuals	PGP000092 \| Xie T et al. Circ Genom Precis Med (2020)	Reported Trait: Height (cm)	—	—	R²: 0.1158	Sex, age	—
PPM001768	PGS000297 (GRS3290_Height)	PSS000911\| Greater Middle Eastern Ancestry\| 13,989 individuals	PGP000147 \| Thareja G et al. Nat Commun (2021) \|Ext.	Reported Trait: Height	—	—	Pearson correlation coefficent (r): 0.15	—	—
PPM001931	PGS000758 (LASSO_Height)	PSS000967\| European Ancestry\| 941 individuals	PGP000163 \| Lu T et al. J Clin Endocrinol Metab (2021)	Reported Trait: Short stature in adulthood	—	AUROC: 0.843 [0.796, 0.89]	Area under the precision-recall curve (AUPRC): 0.284 [0.102, 0.5]	Sex	33,783 SNPs were utilised from the 33,938 SNP score.
PPM001932	PGS000758 (LASSO_Height)	PSS000967\| European Ancestry\| 941 individuals	PGP000163 \| Lu T et al. J Clin Endocrinol Metab (2021)	Reported Trait: Short stature in adulthood (females)	OR: 0.62 [0.5, 0.75]	AUROC: 0.861 [0.814, 0.907]	Area under the precision-recall curve (AUPRC): 0.373 [0.087, 0.651]	—	33,783 SNPs were utilised from the 33,938 SNP score.
PPM001930	PGS000758 (LASSO_Height)	PSS000967\| European Ancestry\| 941 individuals	PGP000163 \| Lu T et al. J Clin Endocrinol Metab (2021)	Reported Trait: Standing height in adulthood	—	—	R²: 0.71 [0.679, 0.741]	Sex	33,783 SNPs were utilised from the 33,938 SNP score.
PPM001933	PGS000758 (LASSO_Height)	PSS000967\| European Ancestry\| 941 individuals	PGP000163 \| Lu T et al. J Clin Endocrinol Metab (2021)	Reported Trait: Short stature in adulthood (males)	OR: 0.7 [0.57, 0.83]	AUROC: 0.82 [0.731, 0.909]	Area under the precision-recall curve (AUPRC): 0.181 [0.044, 0.518]	—	33,783 SNPs were utilised from the 33,938 SNP score.
PPM001929	PGS000758 (LASSO_Height)	PSS000969\| European Ancestry\| 81,902 individuals	PGP000163 \| Lu T et al. J Clin Endocrinol Metab (2021)	Reported Trait: Standing height in adulthood	—	—	R²: 0.711 [0.708, 0.714]	Age, sex, recruitment center, genotyping array, PCs(1-20)	—
PPM008659	PGS001229 (GBE_INI50)	PSS007396\| African Ancestry\| 6,407 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: Standing height	—	—	R²: 0.50012 [0.48294, 0.5173] Incremental R2 (full-covars): 0.02391 PGS R2 (no covariates): 0.03665 [0.02769, 0.04561]	age, sex, UKB array type, Genotype PCs	—
PPM008660	PGS001229 (GBE_INI50)	PSS007397\| East Asian Ancestry\| 1,697 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: Standing height	—	—	R²: 0.60758 [0.5786, 0.63657] Incremental R2 (full-covars): 0.06552 PGS R2 (no covariates): 0.09127 [0.06525, 0.11728]	age, sex, UKB array type, Genotype PCs	—
PPM008661	PGS001229 (GBE_INI50)	PSS007398\| European Ancestry\| 24,826 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: Standing height	—	—	R²: 0.7018 [0.69559, 0.708] Incremental R2 (full-covars): 0.16478 PGS R2 (no covariates): 0.1861 [0.17738, 0.19482]	age, sex, UKB array type, Genotype PCs	—
PPM008662	PGS001229 (GBE_INI50)	PSS007399\| South Asian Ancestry\| 7,650 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: Standing height	—	—	R²: 0.66523 [0.65314, 0.67732] Incremental R2 (full-covars): 0.08156 PGS R2 (no covariates): 0.08889 [0.07686, 0.10092]	age, sex, UKB array type, Genotype PCs	—
PPM008663	PGS001229 (GBE_INI50)	PSS007400\| European Ancestry\| 67,298 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: Standing height	—	—	R²: 0.71726 [0.71364, 0.72087] Incremental R2 (full-covars): 0.17893 PGS R2 (no covariates): 0.17757 [0.17234, 0.1828]	age, sex, UKB array type, Genotype PCs	—
PPM005231	PGS001405 (GBE_INI12144)	PSS004802\| East Asian Ancestry\| 133 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: Height	—	—	R²: 0.509 [0.47581, 0.5422] Incremental R2 (full-covars): 0.00258 PGS R2 (no covariates): 0.00401 [-0.00197, 0.00998]	age, sex, UKB array type, Genotype PCs	—
PPM005230	PGS001405 (GBE_INI12144)	PSS004801\| African Ancestry\| 253 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: Height	—	—	R²: 0.58747 [0.5721, 0.60284] Incremental R2 (full-covars): 0.01915 PGS R2 (no covariates): 0.00938 [0.00471, 0.01404]	age, sex, UKB array type, Genotype PCs	—
PPM005232	PGS001405 (GBE_INI12144)	PSS004803\| European Ancestry\| 2,131 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: Height	—	—	R²: 0.59354 [0.58576, 0.60132] Incremental R2 (full-covars): 0.04611 PGS R2 (no covariates): 0.05219 [0.04681, 0.05757]	age, sex, UKB array type, Genotype PCs	—
PPM005233	PGS001405 (GBE_INI12144)	PSS004804\| South Asian Ancestry\| 414 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: Height	—	—	R²: 0.56418 [0.54969, 0.57868] Incremental R2 (full-covars): 0.03739 PGS R2 (no covariates): 0.02079 [0.01454, 0.02704]	age, sex, UKB array type, Genotype PCs	—
PPM005234	PGS001405 (GBE_INI12144)	PSS004805\| European Ancestry\| 6,641 individuals	PGP000244 \| Tanigawa Y et al. PLoS Genet (2022)	Reported Trait: Height	—	—	R²: 0.59871 [0.59403, 0.6034] Incremental R2 (full-covars): 0.05016 PGS R2 (no covariates): 0.05141 [0.04816, 0.05466]	age, sex, UKB array type, Genotype PCs	—
PPM010307	PGS001929 (portability-PLR_height)	PSS009416\| European Ancestry\| 19,953 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Standing height	—	—	Partial Correlation (partial-r): 0.6344 [0.626, 0.6426]	sex, age, birth date, deprivation index, 16 PCs	—
PPM010308	PGS001929 (portability-PLR_height)	PSS009190\| European Ancestry\| 4,126 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Standing height	—	—	Partial Correlation (partial-r): 0.6098 [0.5902, 0.6286]	sex, age, birth date, deprivation index, 16 PCs	—
PPM010310	PGS001929 (portability-PLR_height)	PSS008518\| Greater Middle Eastern Ancestry\| 1,180 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Standing height	—	—	Partial Correlation (partial-r): 0.5167 [0.4732, 0.5576]	sex, age, birth date, deprivation index, 16 PCs	—
PPM010311	PGS001929 (portability-PLR_height)	PSS008296\| South Asian Ancestry\| 6,152 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Standing height	—	—	Partial Correlation (partial-r): 0.4923 [0.4731, 0.511]	sex, age, birth date, deprivation index, 16 PCs	—
PPM010312	PGS001929 (portability-PLR_height)	PSS008073\| East Asian Ancestry\| 1,801 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Standing height	—	—	Partial Correlation (partial-r): 0.4504 [0.4125, 0.4866]	sex, age, birth date, deprivation index, 16 PCs	—
PPM010313	PGS001929 (portability-PLR_height)	PSS007860\| African Ancestry\| 2,450 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Standing height	—	—	Partial Correlation (partial-r): 0.3454 [0.3099, 0.3799]	sex, age, birth date, deprivation index, 16 PCs	—
PPM010314	PGS001929 (portability-PLR_height)	PSS008964\| African Ancestry\| 3,863 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Standing height	—	—	Partial Correlation (partial-r): 0.2731 [0.2436, 0.3021]	sex, age, birth date, deprivation index, 16 PCs	—
PPM010309	PGS001929 (portability-PLR_height)	PSS008744\| European Ancestry\| 6,633 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Standing height	—	—	Partial Correlation (partial-r): 0.5938 [0.578, 0.6092]	sex, age, birth date, deprivation index, 16 PCs	—
PPM012015	PGS002146 (portability-ldpred2_height)	PSS009416\| European Ancestry\| 19,953 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Standing height	—	—	Partial Correlation (partial-r): 0.6133 [0.6046, 0.6219]	sex, age, birth date, deprivation index, 16 PCs	—
PPM012016	PGS002146 (portability-ldpred2_height)	PSS009190\| European Ancestry\| 4,126 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Standing height	—	—	Partial Correlation (partial-r): 0.5922 [0.5719, 0.6117]	sex, age, birth date, deprivation index, 16 PCs	—
PPM012017	PGS002146 (portability-ldpred2_height)	PSS008744\| European Ancestry\| 6,633 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Standing height	—	—	Partial Correlation (partial-r): 0.5752 [0.5589, 0.5911]	sex, age, birth date, deprivation index, 16 PCs	—
PPM012018	PGS002146 (portability-ldpred2_height)	PSS008518\| Greater Middle Eastern Ancestry\| 1,180 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Standing height	—	—	Partial Correlation (partial-r): 0.4948 [0.4501, 0.5371]	sex, age, birth date, deprivation index, 16 PCs	—
PPM012019	PGS002146 (portability-ldpred2_height)	PSS008296\| South Asian Ancestry\| 6,152 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Standing height	—	—	Partial Correlation (partial-r): 0.4752 [0.4556, 0.4943]	sex, age, birth date, deprivation index, 16 PCs	—
PPM012020	PGS002146 (portability-ldpred2_height)	PSS008073\| East Asian Ancestry\| 1,801 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Standing height	—	—	Partial Correlation (partial-r): 0.4297 [0.3911, 0.4668]	sex, age, birth date, deprivation index, 16 PCs	—
PPM012021	PGS002146 (portability-ldpred2_height)	PSS007860\| African Ancestry\| 2,450 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Standing height	—	—	Partial Correlation (partial-r): 0.3207 [0.2846, 0.356]	sex, age, birth date, deprivation index, 16 PCs	—
PPM012022	PGS002146 (portability-ldpred2_height)	PSS008964\| African Ancestry\| 3,863 individuals	PGP000263 \| Privé F et al. Am J Hum Genet (2022)	Reported Trait: Standing height	—	—	Partial Correlation (partial-r): 0.2554 [0.2256, 0.2847]	sex, age, birth date, deprivation index, 16 PCs	—
PPM013097	PGS002332 (body_HEIGHTz.BOLT-LMM)	PSS009771\| African Ancestry\| 6,410 individuals	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Reported Trait: Height	—	—	Incremental R2 (full model vs. covariates alone): 0.0862	age, sex, age*sex, assessment center, genotyping array, 10 PCs	—
PPM013195	PGS002332 (body_HEIGHTz.BOLT-LMM)	PSS009773\| European Ancestry\| 43,376 individuals	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Reported Trait: Height	—	—	Incremental R2 (full model vs. covariates alone): 0.3593	age, sex, age*sex, assessment center, genotyping array, 10 PCs	—
PPM013244	PGS002332 (body_HEIGHTz.BOLT-LMM)	PSS009774\| South Asian Ancestry\| 7,921 individuals	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Reported Trait: Height	—	—	Incremental R2 (full model vs. covariates alone): 0.2245	age, sex, age*sex, assessment center, genotyping array, 10 PCs	—
PPM013146	PGS002332 (body_HEIGHTz.BOLT-LMM)	PSS009772\| East Asian Ancestry\| 916 individuals	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Reported Trait: Height	—	—	Incremental R2 (full model vs. covariates alone): 0.1592	age, sex, age*sex, assessment center, genotyping array, 10 PCs	—
PPM013280	PGS002368 (body_HEIGHTz.BOLT-LMM-BBJ)	PSS009771\| African Ancestry\| 6,410 individuals	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Reported Trait: Height	—	—	Incremental R2 (full model vs. covariates alone): 0.0088	age, sex, age*sex, assessment center, genotyping array, 10 PCs	—
PPM013303	PGS002368 (body_HEIGHTz.BOLT-LMM-BBJ)	PSS009772\| East Asian Ancestry\| 916 individuals	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Reported Trait: Height	—	—	Incremental R2 (full model vs. covariates alone): 0.1462	age, sex, age*sex, assessment center, genotyping array, 10 PCs	—
PPM013326	PGS002368 (body_HEIGHTz.BOLT-LMM-BBJ)	PSS009773\| European Ancestry\| 43,376 individuals	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Reported Trait: Height	—	—	Incremental R2 (full model vs. covariates alone): 0.0353	age, sex, age*sex, assessment center, genotyping array, 10 PCs	—
PPM013349	PGS002368 (body_HEIGHTz.BOLT-LMM-BBJ)	PSS009774\| South Asian Ancestry\| 7,921 individuals	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Reported Trait: Height	—	—	Incremental R2 (full model vs. covariates alone): 0.0429	age, sex, age*sex, assessment center, genotyping array, 10 PCs	—
PPM013385	PGS002404 (body_HEIGHTz.P+T.0.0001)	PSS009771\| African Ancestry\| 6,410 individuals	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Reported Trait: Height	—	—	Incremental R2 (full model vs. covariates alone): 0.012	age, sex, age*sex, assessment center, genotyping array, 10 PCs	—
PPM013434	PGS002404 (body_HEIGHTz.P+T.0.0001)	PSS009772\| East Asian Ancestry\| 916 individuals	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Reported Trait: Height	—	—	Incremental R2 (full model vs. covariates alone): 0.0968	age, sex, age*sex, assessment center, genotyping array, 10 PCs	—
PPM013532	PGS002404 (body_HEIGHTz.P+T.0.0001)	PSS009774\| South Asian Ancestry\| 7,921 individuals	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Reported Trait: Height	—	—	Incremental R2 (full model vs. covariates alone): 0.1346	age, sex, age*sex, assessment center, genotyping array, 10 PCs	—
PPM013483	PGS002404 (body_HEIGHTz.P+T.0.0001)	PSS009773\| European Ancestry\| 43,376 individuals	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Reported Trait: Height	—	—	Incremental R2 (full model vs. covariates alone): 0.2341	age, sex, age*sex, assessment center, genotyping array, 10 PCs	—
PPM013581	PGS002453 (body_HEIGHTz.P+T.0.001)	PSS009771\| African Ancestry\| 6,410 individuals	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Reported Trait: Height	—	—	Incremental R2 (full model vs. covariates alone): 0.0049	age, sex, age*sex, assessment center, genotyping array, 10 PCs	—
PPM013630	PGS002453 (body_HEIGHTz.P+T.0.001)	PSS009772\| East Asian Ancestry\| 916 individuals	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Reported Trait: Height	—	—	Incremental R2 (full model vs. covariates alone): 0.0953	age, sex, age*sex, assessment center, genotyping array, 10 PCs	—
PPM013728	PGS002453 (body_HEIGHTz.P+T.0.001)	PSS009774\| South Asian Ancestry\| 7,921 individuals	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Reported Trait: Height	—	—	Incremental R2 (full model vs. covariates alone): 0.1336	age, sex, age*sex, assessment center, genotyping array, 10 PCs	—
PPM013679	PGS002453 (body_HEIGHTz.P+T.0.001)	PSS009773\| European Ancestry\| 43,376 individuals	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Reported Trait: Height	—	—	Incremental R2 (full model vs. covariates alone): 0.2461	age, sex, age*sex, assessment center, genotyping array, 10 PCs	—
PPM013777	PGS002502 (body_HEIGHTz.P+T.0.01)	PSS009771\| African Ancestry\| 6,410 individuals	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Reported Trait: Height	—	—	Incremental R2 (full model vs. covariates alone): 0.0008	age, sex, age*sex, assessment center, genotyping array, 10 PCs	—
PPM013826	PGS002502 (body_HEIGHTz.P+T.0.01)	PSS009772\| East Asian Ancestry\| 916 individuals	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Reported Trait: Height	—	—	Incremental R2 (full model vs. covariates alone): 0.0353	age, sex, age*sex, assessment center, genotyping array, 10 PCs	—
PPM013875	PGS002502 (body_HEIGHTz.P+T.0.01)	PSS009773\| European Ancestry\| 43,376 individuals	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Reported Trait: Height	—	—	Incremental R2 (full model vs. covariates alone): 0.2204	age, sex, age*sex, assessment center, genotyping array, 10 PCs	—
PPM013924	PGS002502 (body_HEIGHTz.P+T.0.01)	PSS009774\| South Asian Ancestry\| 7,921 individuals	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Reported Trait: Height	—	—	Incremental R2 (full model vs. covariates alone): 0.0697	age, sex, age*sex, assessment center, genotyping array, 10 PCs	—
PPM013973	PGS002551 (body_HEIGHTz.P+T.1e-06)	PSS009771\| African Ancestry\| 6,410 individuals	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Reported Trait: Height	—	—	Incremental R2 (full model vs. covariates alone): 0.0455	age, sex, age*sex, assessment center, genotyping array, 10 PCs	—
PPM014022	PGS002551 (body_HEIGHTz.P+T.1e-06)	PSS009772\| East Asian Ancestry\| 916 individuals	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Reported Trait: Height	—	—	Incremental R2 (full model vs. covariates alone): 0.099	age, sex, age*sex, assessment center, genotyping array, 10 PCs	—
PPM014071	PGS002551 (body_HEIGHTz.P+T.1e-06)	PSS009773\| European Ancestry\| 43,376 individuals	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Reported Trait: Height	—	—	Incremental R2 (full model vs. covariates alone): 0.207	age, sex, age*sex, assessment center, genotyping array, 10 PCs	—
PPM014120	PGS002551 (body_HEIGHTz.P+T.1e-06)	PSS009774\| South Asian Ancestry\| 7,921 individuals	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Reported Trait: Height	—	—	Incremental R2 (full model vs. covariates alone): 0.1235	age, sex, age*sex, assessment center, genotyping array, 10 PCs	—
PPM014169	PGS002600 (body_HEIGHTz.P+T.5e-08)	PSS009771\| African Ancestry\| 6,410 individuals	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Reported Trait: Height	—	—	Incremental R2 (full model vs. covariates alone): 0.0447	age, sex, age*sex, assessment center, genotyping array, 10 PCs	—
PPM014218	PGS002600 (body_HEIGHTz.P+T.5e-08)	PSS009772\| East Asian Ancestry\| 916 individuals	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Reported Trait: Height	—	—	Incremental R2 (full model vs. covariates alone): 0.0997	age, sex, age*sex, assessment center, genotyping array, 10 PCs	—
PPM014267	PGS002600 (body_HEIGHTz.P+T.5e-08)	PSS009773\| European Ancestry\| 43,376 individuals	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Reported Trait: Height	—	—	Incremental R2 (full model vs. covariates alone): 0.1921	age, sex, age*sex, assessment center, genotyping array, 10 PCs	—
PPM014316	PGS002600 (body_HEIGHTz.P+T.5e-08)	PSS009774\| South Asian Ancestry\| 7,921 individuals	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Reported Trait: Height	—	—	Incremental R2 (full model vs. covariates alone): 0.1136	age, sex, age*sex, assessment center, genotyping array, 10 PCs	—
PPM014463	PGS002649 (body_HEIGHTz.PolyFun-pred)	PSS009773\| European Ancestry\| 43,376 individuals	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Reported Trait: Height	—	—	Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.3823	age, sex, age*sex, assessment center, genotyping array, 10 PCs	See body_HEIGHTz.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights
PPM014365	PGS002649 (body_HEIGHTz.PolyFun-pred)	PSS009771\| African Ancestry\| 6,410 individuals	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Reported Trait: Height	—	—	Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.1149	age, sex, age*sex, assessment center, genotyping array, 10 PCs	See body_HEIGHTz.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights
PPM014414	PGS002649 (body_HEIGHTz.PolyFun-pred)	PSS009772\| East Asian Ancestry\| 916 individuals	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Reported Trait: Height	—	—	Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.1634	age, sex, age*sex, assessment center, genotyping array, 10 PCs	See body_HEIGHTz.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights
PPM014512	PGS002649 (body_HEIGHTz.PolyFun-pred)	PSS009774\| South Asian Ancestry\| 7,921 individuals	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Reported Trait: Height	—	—	Incremental R2 (full model when combined with BOLT-LMM vs. covariates alone): 0.2378	age, sex, age*sex, assessment center, genotyping array, 10 PCs	See body_HEIGHTz.mixweights file at http://data.broadinstitute.org/alkesgroup/polypred_results for combination weights
PPM014561	PGS002698 (body_HEIGHTz.SBayesR)	PSS009771\| African Ancestry\| 6,410 individuals	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Reported Trait: Height	—	—	Incremental R2 (full model vs. covariates alone): 0.0852	age, sex, age*sex, assessment center, genotyping array, 10 PCs	—
PPM014610	PGS002698 (body_HEIGHTz.SBayesR)	PSS009772\| East Asian Ancestry\| 916 individuals	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Reported Trait: Height	—	—	Incremental R2 (full model vs. covariates alone): 0.1499	age, sex, age*sex, assessment center, genotyping array, 10 PCs	—
PPM014659	PGS002698 (body_HEIGHTz.SBayesR)	PSS009773\| European Ancestry\| 43,376 individuals	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Reported Trait: Height	—	—	Incremental R2 (full model vs. covariates alone): 0.3449	age, sex, age*sex, assessment center, genotyping array, 10 PCs	—
PPM014708	PGS002698 (body_HEIGHTz.SBayesR)	PSS009774\| South Asian Ancestry\| 7,921 individuals	PGP000332 \| Weissbrod O et al. Nat Genet (2022)	Reported Trait: Height	—	—	Incremental R2 (full model vs. covariates alone): 0.212	age, sex, age*sex, assessment center, genotyping array, 10 PCs	—
PPM014929	PGS002748 (PRS_251)	PSS009934\| East Asian Ancestry\| 28,909 individuals	PGP000361 \| Chiou JS et al. BMC Med (2022)	Reported Trait: Height (male)	β: 0.257	—	—	—	—
PPM014930	PGS002748 (PRS_251)	PSS009934\| East Asian Ancestry\| 28,909 individuals	PGP000361 \| Chiou JS et al. BMC Med (2022)	Reported Trait: Height (female)	β: 0.274	—	—	—	—
PPM014931	PGS002748 (PRS_251)	PSS009934\| East Asian Ancestry\| 28,909 individuals	PGP000361 \| Chiou JS et al. BMC Med (2022)	Reported Trait: Body weight	β: 1.218 [1.141, 1.296]	—	—	—	—
PPM014932	PGS002748 (PRS_251)	PSS009934\| East Asian Ancestry\| 28,909 individuals	PGP000361 \| Chiou JS et al. BMC Med (2022)	Reported Trait: Waist circumference	β: 0.446 [0.375, 0.517]	—	—	—	—
PPM014933	PGS002748 (PRS_251)	PSS009934\| East Asian Ancestry\| 28,909 individuals	PGP000361 \| Chiou JS et al. BMC Med (2022)	Reported Trait: Hip circumference	β: 0.601 [0.549, 0.652]	—	—	—	—
PPM014934	PGS002748 (PRS_251)	PSS009934\| East Asian Ancestry\| 28,909 individuals	PGP000361 \| Chiou JS et al. BMC Med (2022)	Reported Trait: Body mass index	β: -0.084 [-0.111, -0.056]	—	—	—	—
PPM014935	PGS002748 (PRS_251)	PSS009934\| East Asian Ancestry\| 28,909 individuals	PGP000361 \| Chiou JS et al. BMC Med (2022)	Reported Trait: Waist‐hip ratio	β: -0.001 [-0.001, 0.0]	—	—	—	—
PPM014936	PGS002748 (PRS_251)	PSS009934\| East Asian Ancestry\| 28,909 individuals	PGP000361 \| Chiou JS et al. BMC Med (2022)	Reported Trait: Body fat	β: -0.14 [-0.186, -0.095]	—	—	—	—
PPM014937	PGS002748 (PRS_251)	PSS009934\| East Asian Ancestry\| 28,909 individuals	PGP000361 \| Chiou JS et al. BMC Med (2022)	Reported Trait: Total cholesterol	β: -0.587 [-0.853, -0.321]	—	—	—	—
PPM014938	PGS002748 (PRS_251)	PSS009934\| East Asian Ancestry\| 28,909 individuals	PGP000361 \| Chiou JS et al. BMC Med (2022)	Reported Trait: Low‐density lipoprotein cholesterol	β: -0.629 [-0.867, -0.391]	—	—	—	—
PPM015528	PGS002800 (GIANT_HEIGHT_YENGO_2022_PGS_WEIGHTS_SAS)	PSS009976\| South Asian Ancestry\| 9,257 individuals	PGP000382 \| Yengo L et al. Nature (2022)	Reported Trait: Height	—	—	R²: 0.033	age, sex and 10 genetic principal components	—
PPM015534	PGS002801 (GIANT_HEIGHT_YENGO_2022_PGS_WEIGHTS_AFR)	PSS009977\| African Ancestry\| 6,911 individuals	PGP000382 \| Yengo L et al. Nature (2022)	Reported Trait: Height	—	—	R²: 0.085	age, sex and 10 genetic principal components	—
PPM015536	PGS002801 (GIANT_HEIGHT_YENGO_2022_PGS_WEIGHTS_AFR)	PSS009978\| African Ancestry\| 8,238 individuals	PGP000382 \| Yengo L et al. Nature (2022)	Reported Trait: Height	—	—	R²: 0.085	age, sex and 10 genetic principal components	—
PPM015523	PGS002802 (GIANT_HEIGHT_YENGO_2022_PGS_WEIGHTS_ALL)	PSS009974\| European Ancestry\| 14,587 individuals	PGP000382 \| Yengo L et al. Nature (2022)	Reported Trait: Height	—	—	R²: 0.401	age, sex and 10 genetic principal components	—
PPM015525	PGS002802 (GIANT_HEIGHT_YENGO_2022_PGS_WEIGHTS_ALL)	PSS009973\| European Ancestry\| 14,058 individuals	PGP000382 \| Yengo L et al. Nature (2022)	Reported Trait: Height	—	—	R²: 0.399	age, sex and 10 genetic principal components	—
PPM015527	PGS002802 (GIANT_HEIGHT_YENGO_2022_PGS_WEIGHTS_ALL)	PSS009976\| South Asian Ancestry\| 9,257 individuals	PGP000382 \| Yengo L et al. Nature (2022)	Reported Trait: Height	—	—	R²: 0.214	age, sex and 10 genetic principal components	—
PPM015529	PGS002802 (GIANT_HEIGHT_YENGO_2022_PGS_WEIGHTS_ALL)	PSS009972\| East Asian Ancestry\| 2,246 individuals	PGP000382 \| Yengo L et al. Nature (2022)	Reported Trait: Height	—	—	R²: 0.202	age, sex and 10 genetic principal components	—
PPM015531	PGS002802 (GIANT_HEIGHT_YENGO_2022_PGS_WEIGHTS_ALL)	PSS009975\| Hispanic or Latin American Ancestry\| 5,798 individuals	PGP000382 \| Yengo L et al. Nature (2022)	Reported Trait: Height	—	—	R²: 0.201	age, sex and 10 genetic principal components	—
PPM015533	PGS002802 (GIANT_HEIGHT_YENGO_2022_PGS_WEIGHTS_ALL)	PSS009977\| African Ancestry\| 6,911 individuals	PGP000382 \| Yengo L et al. Nature (2022)	Reported Trait: Height	—	—	R²: 0.123	age, sex and 10 genetic principal components	—
PPM015535	PGS002802 (GIANT_HEIGHT_YENGO_2022_PGS_WEIGHTS_ALL)	PSS009978\| African Ancestry\| 8,238 individuals	PGP000382 \| Yengo L et al. Nature (2022)	Reported Trait: Height	—	—	R²: 0.094	age, sex and 10 genetic principal components	—
PPM015530	PGS002803 (GIANT_HEIGHT_YENGO_2022_PGS_WEIGHTS_EAS)	PSS009972\| East Asian Ancestry\| 2,246 individuals	PGP000382 \| Yengo L et al. Nature (2022)	Reported Trait: Height	—	—	R²: 0.157	age, sex and 10 genetic principal components	—
PPM015524	PGS002804 (GIANT_HEIGHT_YENGO_2022_PGS_WEIGHTS_EUR)	PSS009974\| European Ancestry\| 14,587 individuals	PGP000382 \| Yengo L et al. Nature (2022)	Reported Trait: Height	—	—	R²: 0.401	age, sex and 10 genetic principal components	—
PPM015526	PGS002804 (GIANT_HEIGHT_YENGO_2022_PGS_WEIGHTS_EUR)	PSS009973\| European Ancestry\| 14,058 individuals	PGP000382 \| Yengo L et al. Nature (2022)	Reported Trait: Height	—	—	R²: 0.4	age, sex and 10 genetic principal components	—
PPM015532	PGS002805 (GIANT_HEIGHT_YENGO_2022_PGS_WEIGHTS_HIS)	PSS009975\| Hispanic or Latin American Ancestry\| 5,798 individuals	PGP000382 \| Yengo L et al. Nature (2022)	Reported Trait: Height	—	—	R²: 0.131	age, sex and 10 genetic principal components	—
PPM015843	PGS002964 (ExPRSweb_Height_50-irnt_LASSOSUM_MGI_20211120)	PSS010007\| European Ancestry\| 23,349 individuals	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Reported Trait: Height	β: 3.64 (0.0391)	—	R²: 0.134	SEX,AGE,Batch,PC1,PC2,PC3,PC4	—
PPM015846	PGS002965 (ExPRSweb_Height_50-irnt_PT_MGI_20211120)	PSS010007\| European Ancestry\| 23,349 individuals	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Reported Trait: Height	β: 3.52 (0.0396)	—	R²: 0.125	SEX,AGE,Batch,PC1,PC2,PC3,PC4	—
PPM015844	PGS002966 (ExPRSweb_Height_50-irnt_PLINK_MGI_20211120)	PSS010007\| European Ancestry\| 23,349 individuals	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Reported Trait: Height	β: 3.51 (0.0398)	—	R²: 0.125	SEX,AGE,Batch,PC1,PC2,PC3,PC4	—
PPM015842	PGS002967 (ExPRSweb_Height_50-irnt_DBSLMM_MGI_20211120)	PSS010007\| European Ancestry\| 23,349 individuals	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Reported Trait: Height	β: 2.4 (0.0426)	—	R²: 0.0613	SEX,AGE,Batch,PC1,PC2,PC3,PC4	—
PPM015845	PGS002968 (ExPRSweb_Height_50-irnt_PRSCS_MGI_20211120)	PSS010007\| European Ancestry\| 23,349 individuals	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Reported Trait: Height	β: 3.69 (0.0387)	—	R²: 0.138	SEX,AGE,Batch,PC1,PC2,PC3,PC4	—
PPM015848	PGS002969 (ExPRSweb_Height_50-raw_LASSOSUM_MGI_20211120)	PSS010007\| European Ancestry\| 23,349 individuals	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Reported Trait: Height	β: 3.65 (0.0391)	—	R²: 0.135	SEX,AGE,Batch,PC1,PC2,PC3,PC4	—
PPM015851	PGS002970 (ExPRSweb_Height_50-raw_PT_MGI_20211120)	PSS010007\| European Ancestry\| 23,349 individuals	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Reported Trait: Height	β: 3.53 (0.0396)	—	R²: 0.126	SEX,AGE,Batch,PC1,PC2,PC3,PC4	—
PPM015849	PGS002971 (ExPRSweb_Height_50-raw_PLINK_MGI_20211120)	PSS010007\| European Ancestry\| 23,349 individuals	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Reported Trait: Height	β: 3.51 (0.0396)	—	R²: 0.125	SEX,AGE,Batch,PC1,PC2,PC3,PC4	—
PPM015847	PGS002972 (ExPRSweb_Height_50-raw_DBSLMM_MGI_20211120)	PSS010007\| European Ancestry\| 23,349 individuals	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Reported Trait: Height	β: 2.41 (0.0425)	—	R²: 0.0619	SEX,AGE,Batch,PC1,PC2,PC3,PC4	—
PPM015850	PGS002973 (ExPRSweb_Height_50-raw_PRSCS_MGI_20211120)	PSS010007\| European Ancestry\| 23,349 individuals	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Reported Trait: Height	β: 3.7 (0.0386)	—	R²: 0.139	SEX,AGE,Batch,PC1,PC2,PC3,PC4	—
PPM015854	PGS002974 (ExPRSweb_Height_GIANT-Yang2012-height_LASSOSUM_MGI_20211120)	PSS010007\| European Ancestry\| 23,349 individuals	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Reported Trait: Height	β: 0.0721 (0.0462)	—	R²: 6e-05	SEX,AGE,Batch,PC1,PC2,PC3,PC4	—
PPM015860	PGS002975 (ExPRSweb_Height_GIANT-Yang2012-height_PT_MGI_20211120)	PSS010007\| European Ancestry\| 23,349 individuals	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Reported Trait: Height	β: 0.162 (0.0533)	—	R²: 0.00014	SEX,AGE,Batch,PC1,PC2,PC3,PC4	—
PPM015856	PGS002976 (ExPRSweb_Height_GIANT-Yang2012-height_PLINK_MGI_20211120)	PSS010007\| European Ancestry\| 23,349 individuals	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Reported Trait: Height	β: 0.176 (0.0535)	—	R²: 0.00012	SEX,AGE,Batch,PC1,PC2,PC3,PC4	—
PPM015852	PGS002977 (ExPRSweb_Height_GIANT-Yang2012-height_DBSLMM_MGI_20211120)	PSS010007\| European Ancestry\| 23,349 individuals	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Reported Trait: Height	β: 0.0806 (0.0446)	—	R²: 3e-05	SEX,AGE,Batch,PC1,PC2,PC3,PC4	—
PPM015858	PGS002978 (ExPRSweb_Height_GIANT-Yang2012-height_PRSCS_MGI_20211120)	PSS010007\| European Ancestry\| 23,349 individuals	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Reported Trait: Height	β: 0.105 (0.0468)	—	R²: 3e-05	SEX,AGE,Batch,PC1,PC2,PC3,PC4	—
PPM015864	PGS002979 (ExPRSweb_Height_ieu-a-89_LASSOSUM_MGI_20211120)	PSS010007\| European Ancestry\| 23,349 individuals	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Reported Trait: Height	β: 2.79 (0.0488)	—	R²: 0.0563	SEX,AGE,Batch,PC1,PC2,PC3,PC4	—
PPM015870	PGS002980 (ExPRSweb_Height_ieu-a-89_PT_MGI_20211120)	PSS010007\| European Ancestry\| 23,349 individuals	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Reported Trait: Height	β: 3.21 (0.0455)	—	R²: 0.0834	SEX,AGE,Batch,PC1,PC2,PC3,PC4	—
PPM015866	PGS002981 (ExPRSweb_Height_ieu-a-89_PLINK_MGI_20211120)	PSS010007\| European Ancestry\| 23,349 individuals	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Reported Trait: Height	β: 3.12 (0.0449)	—	R²: 0.0819	SEX,AGE,Batch,PC1,PC2,PC3,PC4	—
PPM015862	PGS002982 (ExPRSweb_Height_ieu-a-89_DBSLMM_MGI_20211120)	PSS010007\| European Ancestry\| 23,349 individuals	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Reported Trait: Height	β: 0.992 (0.0493)	—	R²: 0.012	SEX,AGE,Batch,PC1,PC2,PC3,PC4	—
PPM015868	PGS002983 (ExPRSweb_Height_ieu-a-89_PRSCS_MGI_20211120)	PSS010007\| European Ancestry\| 23,349 individuals	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Reported Trait: Height	β: 3.32 (0.0521)	—	R²: 0.0599	SEX,AGE,Batch,PC1,PC2,PC3,PC4	—
PPM015855	PGS002984 (ExPRSweb_Height_GIANT-Yang2012-height_LASSOSUM_UKB_20211120)	PSS010029\| European Ancestry\| 203,681 individuals	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Reported Trait: Height	β: 2.78 (0.0126)	—	R²: 0.0888	Sex,birthYear,genotyping.array,PC1,PC2,PC3,PC4	—
PPM015861	PGS002985 (ExPRSweb_Height_GIANT-Yang2012-height_PT_UKB_20211120)	PSS010029\| European Ancestry\| 203,681 individuals	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Reported Trait: Height	β: 0.0594 (0.014)	—	R²: 8e-05	Sex,birthYear,genotyping.array,PC1,PC2,PC3,PC4	—
PPM015857	PGS002986 (ExPRSweb_Height_GIANT-Yang2012-height_PLINK_UKB_20211120)	PSS010029\| European Ancestry\| 203,681 individuals	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Reported Trait: Height	β: 0.06 (0.014)	—	R²: 8e-05	Sex,birthYear,genotyping.array,PC1,PC2,PC3,PC4	—
PPM015853	PGS002987 (ExPRSweb_Height_GIANT-Yang2012-height_DBSLMM_UKB_20211120)	PSS010029\| European Ancestry\| 203,681 individuals	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Reported Trait: Height	β: 0.525 (0.014)	—	R²: 0.00307	Sex,birthYear,genotyping.array,PC1,PC2,PC3,PC4	—
PPM015859	PGS002988 (ExPRSweb_Height_GIANT-Yang2012-height_PRSCS_UKB_20211120)	PSS010029\| European Ancestry\| 203,681 individuals	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Reported Trait: Height	β: 3.03 (0.0123)	—	R²: 0.106	Sex,birthYear,genotyping.array,PC1,PC2,PC3,PC4	—
PPM015865	PGS002989 (ExPRSweb_Height_ieu-a-89_LASSOSUM_UKB_20211120)	PSS010029\| European Ancestry\| 203,681 individuals	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Reported Trait: Height	β: 2.78 (0.0126)	—	R²: 0.0888	Sex,birthYear,genotyping.array,PC1,PC2,PC3,PC4	—
PPM015871	PGS002990 (ExPRSweb_Height_ieu-a-89_PT_UKB_20211120)	PSS010029\| European Ancestry\| 203,681 individuals	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Reported Trait: Height	β: 2.92 (0.0124)	—	R²: 0.0975	Sex,birthYear,genotyping.array,PC1,PC2,PC3,PC4	—
PPM015867	PGS002991 (ExPRSweb_Height_ieu-a-89_PLINK_UKB_20211120)	PSS010029\| European Ancestry\| 203,681 individuals	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Reported Trait: Height	β: 2.91 (0.0124)	—	R²: 0.0974	Sex,birthYear,genotyping.array,PC1,PC2,PC3,PC4	—
PPM015863	PGS002992 (ExPRSweb_Height_ieu-a-89_DBSLMM_UKB_20211120)	PSS010029\| European Ancestry\| 203,681 individuals	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Reported Trait: Height	β: 0.525 (0.014)	—	R²: 0.00307	Sex,birthYear,genotyping.array,PC1,PC2,PC3,PC4	—
PPM015869	PGS002993 (ExPRSweb_Height_ieu-a-89_PRSCS_UKB_20211120)	PSS010029\| European Ancestry\| 203,681 individuals	PGP000393 \| Ma Y et al. Am J Hum Genet (2022)	Reported Trait: Height	β: 3.03 (0.0123)	—	R²: 0.106	Sex,birthYear,genotyping.array,PC1,PC2,PC3,PC4	—
PPM017442	PGS003514 (cont-decay-height)	PSS010876\| European Ancestry\| 19,949 individuals	PGP000457 \| Ding Y et al. bioRxiv (2022) \|Pre	Reported Trait: Standing height	—	—	partial-R2: 0.38	sex, age, deprivation index, PC1-16	—
PPM017526	PGS003514 (cont-decay-height)	PSS010792\| European Ancestry\| 4,115 individuals	PGP000457 \| Ding Y et al. bioRxiv (2022) \|Pre	Reported Trait: Standing height	—	—	partial-R2: 0.34	sex, age, deprivation index, PC1-16	—
PPM017610	PGS003514 (cont-decay-height)	PSS010624\| European Ancestry\| 6,470 individuals	PGP000457 \| Ding Y et al. bioRxiv (2022) \|Pre	Reported Trait: Standing height	—	—	partial-R2: 0.33	sex, age, deprivation index, PC1-16	—
PPM017694	PGS003514 (cont-decay-height)	PSS010540\| Greater Middle Eastern Ancestry\| 1,151 individuals	PGP000457 \| Ding Y et al. bioRxiv (2022) \|Pre	Reported Trait: Standing height	—	—	partial-R2: 0.25	sex, age, deprivation index, PC1-16	—
PPM017778	PGS003514 (cont-decay-height)	PSS010204\| European Ancestry\| 2,346 individuals	PGP000457 \| Ding Y et al. bioRxiv (2022) \|Pre	Reported Trait: Standing height	—	—	partial-R2: 0.33	sex, age, deprivation index, PC1-16	—
PPM017862	PGS003514 (cont-decay-height)	PSS010456\| South Asian Ancestry\| 6,100 individuals	PGP000457 \| Ding Y et al. bioRxiv (2022) \|Pre	Reported Trait: Standing height	—	—	partial-R2: 0.23	sex, age, deprivation index, PC1-16	—
PPM017946	PGS003514 (cont-decay-height)	PSS010372\| East Asian Ancestry\| 1,789 individuals	PGP000457 \| Ding Y et al. bioRxiv (2022) \|Pre	Reported Trait: Standing height	—	—	partial-R2: 0.18	sex, age, deprivation index, PC1-16	—
PPM018030	PGS003514 (cont-decay-height)	PSS010288\| African Ancestry\| 2,437 individuals	PGP000457 \| Ding Y et al. bioRxiv (2022) \|Pre	Reported Trait: Standing height	—	—	partial-R2: 0.1	sex, age, deprivation index, PC1-16	—
PPM018114	PGS003514 (cont-decay-height)	PSS010708\| African Ancestry\| 3,834 individuals	PGP000457 \| Ding Y et al. bioRxiv (2022) \|Pre	Reported Trait: Standing height	—	—	partial-R2: 0.06	sex, age, deprivation index, PC1-16	—
PPM018642	PGS003835 (height_EUR_CT)	PSS011042\| European Ancestry\| 9,969 individuals	PGP000489 \| Zhang H et al. Nat Genet (2023)	Reported Trait: Height	—	—	R²: 0.09039	—	—
PPM018643	PGS003836 (height_EUR_LDpred2)	PSS011042\| European Ancestry\| 9,969 individuals	PGP000489 \| Zhang H et al. Nat Genet (2023)	Reported Trait: Height	—	—	R²: 0.16006	—	—
PPM018644	PGS003837 (height_AFR_CT)	PSS011041\| African Ancestry\| 4,527 individuals	PGP000489 \| Zhang H et al. Nat Genet (2023)	Reported Trait: Height	—	—	R²: 0.00285	—	—
PPM018645	PGS003838 (height_AFR_LDpred2)	PSS011041\| African Ancestry\| 4,527 individuals	PGP000489 \| Zhang H et al. Nat Genet (2023)	Reported Trait: Height	—	—	R²: 0.00695	—	—
PPM018646	PGS003839 (height_AFR_weighted_LDpred2)	PSS011041\| African Ancestry\| 4,527 individuals	PGP000489 \| Zhang H et al. Nat Genet (2023)	Reported Trait: Height	—	—	R²: 0.03319	—	—
PPM018647	PGS003840 (height_AFR_PRSCSx)	PSS011041\| African Ancestry\| 4,527 individuals	PGP000489 \| Zhang H et al. Nat Genet (2023)	Reported Trait: Height	—	—	R²: 0.04139	—	—
PPM018648	PGS003841 (height_AFR_CTSLEB)	PSS011041\| African Ancestry\| 4,527 individuals	PGP000489 \| Zhang H et al. Nat Genet (2023)	Reported Trait: Height	—	—	R²: 0.03775	—	—
PPM018780	PGS003888 (Height_PRScsx_ARB_AMRweights)	PSS011097\| Greater Middle Eastern Ancestry\| 2,669 individuals	PGP000501 \| Shim I et al. Nature Communications (2023)	Reported Trait: Height	β: 0.026 (0.0013)	—	R²: 0.5202	age, sex, array version, and the first 10 principal components of ancestry	The reported performance was derived from a linearly combined score of 4 normalized ancestry-specific scores using the following coefficients: Score = (0.0043399119zscoreAMR) + (0.0003544699zscoreARB) + (0.0034973575zscoreEAS) + (0.0218689041zscoreEUR).
PPM018781	PGS003889 (Height_PRScsx_ARB_ARBweights)	PSS011097\| Greater Middle Eastern Ancestry\| 2,669 individuals	PGP000501 \| Shim I et al. Nature Communications (2023)	Reported Trait: Height	β: 0.026 (0.0013)	—	R²: 0.5202	age, sex, array version, and the first 10 principal components of ancestry	The reported performance was derived from a linearly combined score of 4 normalized ancestry-specific scores using the following coefficients: Score = (0.0043399119zscoreAMR) + (0.0003544699zscoreARB) + (0.0034973575zscoreEAS) + (0.0218689041zscoreEUR).
PPM018782	PGS003890 (Height_PRScsx_ARB_EASweights)	PSS011097\| Greater Middle Eastern Ancestry\| 2,669 individuals	PGP000501 \| Shim I et al. Nature Communications (2023)	Reported Trait: Height	β: 0.026 (0.0013)	—	R²: 0.5202	age, sex, array version, and the first 10 principal components of ancestry	The reported performance was derived from a linearly combined score of 4 normalized ancestry-specific scores using the following coefficients: Score = (0.0043399119zscoreAMR) + (0.0003544699zscoreARB) + (0.0034973575zscoreEAS) + (0.0218689041zscoreEUR).
PPM018783	PGS003891 (Height_PRScsx_ARB_EURweights)	PSS011097\| Greater Middle Eastern Ancestry\| 2,669 individuals	PGP000501 \| Shim I et al. Nature Communications (2023)	Reported Trait: Height	β: 0.026 (0.0013)	—	R²: 0.5202	age, sex, array version, and the first 10 principal components of ancestry	The reported performance was derived from a linearly combined score of 4 normalized ancestry-specific scores using the following coefficients: Score = (0.0043399119zscoreAMR) + (0.0003544699zscoreARB) + (0.0034973575zscoreEAS) + (0.0218689041zscoreEUR).
PPM018794	PGS003895 (INI50)	PSS011146\| European Ancestry\| 67,603 individuals	PGP000502 \| Tanigawa Y et al. AJHG (2023)	Reported Trait: Standing height	—	—	R²: 0.71901 [0.71542, 0.7226] PGS R2 (no covariates): 0.1804 [0.17516, 0.18565] Incremental R2 (full-covars): 0.17961	age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18)	—
PPM018795	PGS003895 (INI50)	PSS011103\| European Ancestry\| 2,885 individuals	PGP000502 \| Tanigawa Y et al. AJHG (2023)	Reported Trait: Standing height	—	—	R²: 0.72848 [0.71161, 0.74534] PGS R2 (no covariates): 0.21016 [0.18381, 0.23651] Incremental R2 (full-covars): 0.18808	age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18)	—
PPM018796	PGS003895 (INI50)	PSS011114\| South Asian Ancestry\| 1,448 individuals	PGP000502 \| Tanigawa Y et al. AJHG (2023)	Reported Trait: Standing height	—	—	R²: 0.66918 [0.64174, 0.69663] PGS R2 (no covariates): 0.08326 [0.05643, 0.11009] Incremental R2 (full-covars): 0.08875	age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18)	—
PPM018797	PGS003895 (INI50)	PSS011159\| African Ancestry\| 1,191 individuals	PGP000502 \| Tanigawa Y et al. AJHG (2023)	Reported Trait: Standing height	—	—	R²: 0.50307 [0.46351, 0.54262] PGS R2 (no covariates): 0.02787 [0.00966, 0.04609] Incremental R2 (full-covars): 0.01372	age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18)	—
PPM018798	PGS003895 (INI50)	PSS011173\| Multi-ancestry (excluding European)\| 7,968 individuals	PGP000502 \| Tanigawa Y et al. AJHG (2023)	Reported Trait: Standing height	—	—	R²: 0.69915 [0.68814, 0.71017] PGS R2 (no covariates): 0.151 [0.13655, 0.16545] Incremental R2 (full-covars): 0.14737	age, sex, age^2, age*sex, Townsend deprivation index, genotype PCs (PC1-PC18)	—
PPM020065	PGS003995 (dbslmm.auto.GCST90018959.Height)	PSS011219\| European Ancestry\| 190,013 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Height	β: 0.35385 [0.34964955, 0.35806039]	—	R²: 0.12521 [0.12225481, 0.12820725]	0	beta = sd_trait/sd_pgs = pearson correlation
PPM020066	PGS003995 (dbslmm.auto.GCST90018959.Height)	PSS011230\| European Ancestry\| 267,343 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Height	β: 0.32614 [0.32256062, 0.3297274]	—	R²: 0.10637 [0.10404535, 0.10872016]	0	beta = sd_trait/sd_pgs = pearson correlation
PPM020067	PGS003995 (dbslmm.auto.GCST90018959.Height)	PSS011243\| South Asian Ancestry\| 34,089 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Height	β: 0.26677 [0.25654102, 0.27700322]	—	R²: 0.07117 [0.06581329, 0.07673079]	0	beta = sd_trait/sd_pgs = pearson correlation
PPM020068	PGS003995 (dbslmm.auto.GCST90018959.Height)	PSS011259\| European Ancestry\| 66,700 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Height	β: 0.33511 [0.32795619, 0.34225683]	—	R²: 0.1123 [0.10755526, 0.11713974]	0	beta = sd_trait/sd_pgs = pearson correlation
PPM020069	PGS003995 (dbslmm.auto.GCST90018959.Height)	PSS011287\| South Asian Ancestry\| 9,108 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Height	β: 0.27048 [0.25070611, 0.29025341]	—	R²: 0.07316 [0.06285355, 0.08424704]	0	beta = sd_trait/sd_pgs = pearson correlation
PPM020090	PGS004011 (lassosum.auto.GCST90018959.Height)	PSS011219\| European Ancestry\| 190,013 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Height	β: 0.31544 [0.31117023, 0.31970379]	—	R²: 0.0995 [0.09682691, 0.10221052]	0	beta = sd_trait/sd_pgs = pearson correlation
PPM020091	PGS004011 (lassosum.auto.GCST90018959.Height)	PSS011230\| European Ancestry\| 267,343 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Height	β: 0.29137 [0.28774462, 0.294997]	—	R²: 0.0849 [0.08279697, 0.08702323]	0	beta = sd_trait/sd_pgs = pearson correlation
PPM020092	PGS004011 (lassosum.auto.GCST90018959.Height)	PSS011243\| South Asian Ancestry\| 34,089 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Height	β: 0.25831 [0.24805711, 0.26856819]	—	R²: 0.06673 [0.06153233, 0.07212887]	0	beta = sd_trait/sd_pgs = pearson correlation
PPM020093	PGS004011 (lassosum.auto.GCST90018959.Height)	PSS011259\| European Ancestry\| 66,700 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Height	β: 0.31267 [0.3054587, 0.31987595]	—	R²: 0.09776 [0.09330502, 0.10232063]	0	beta = sd_trait/sd_pgs = pearson correlation
PPM020094	PGS004011 (lassosum.auto.GCST90018959.Height)	PSS011287\| South Asian Ancestry\| 9,108 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Height	β: 0.24786 [0.22796511, 0.26776173]	—	R²: 0.06144 [0.05196809, 0.07169634]	0	beta = sd_trait/sd_pgs = pearson correlation
PPM020075	PGS004036 (ldpred2.auto.GCST90018959.Height)	PSS011219\| European Ancestry\| 190,013 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Height	β: 0.36472 [0.36053243, 0.36890567]	—	R²: 0.13302 [0.12998363, 0.13609139]	0	beta = sd_trait/sd_pgs = pearson correlation
PPM020076	PGS004036 (ldpred2.auto.GCST90018959.Height)	PSS011230\| European Ancestry\| 267,343 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Height	β: 0.33197 [0.32839667, 0.33554806]	—	R²: 0.11021 [0.10784438, 0.1125925]	0	beta = sd_trait/sd_pgs = pearson correlation
PPM020077	PGS004036 (ldpred2.auto.GCST90018959.Height)	PSS011243\| South Asian Ancestry\| 34,089 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Height	β: 0.28234 [0.2721519, 0.29251975]	—	R²: 0.07971 [0.07406666, 0.08556781]	0	beta = sd_trait/sd_pgs = pearson correlation
PPM020078	PGS004036 (ldpred2.auto.GCST90018959.Height)	PSS011259\| European Ancestry\| 66,700 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Height	β: 0.34509 [0.33796862, 0.35221445]	—	R²: 0.11909 [0.11422279, 0.12405502]	0	beta = sd_trait/sd_pgs = pearson correlation
PPM020079	PGS004036 (ldpred2.auto.GCST90018959.Height)	PSS011287\| South Asian Ancestry\| 9,108 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Height	β: 0.28559 [0.26590751, 0.30527512]	—	R²: 0.08156 [0.0707068, 0.0931929]	0	beta = sd_trait/sd_pgs = pearson correlation
PPM020080	PGS004065 (megaprs.auto.GCST90018959.Height)	PSS011219\| European Ancestry\| 190,013 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Height	β: 0.33881 [0.33457883, 0.34303963]	—	R²: 0.11479 [0.11194299, 0.11767619]	0	beta = sd_trait/sd_pgs = pearson correlation
PPM020081	PGS004065 (megaprs.auto.GCST90018959.Height)	PSS011230\| European Ancestry\| 267,343 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Height	β: 0.30485 [0.30124419, 0.30846464]	—	R²: 0.09294 [0.09074806, 0.09515043]	0	beta = sd_trait/sd_pgs = pearson correlation
PPM020082	PGS004065 (megaprs.auto.GCST90018959.Height)	PSS011243\| South Asian Ancestry\| 34,089 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Height	β: 0.26196 [0.2517198, 0.27220998]	—	R²: 0.06863 [0.06336286, 0.07409827]	0	beta = sd_trait/sd_pgs = pearson correlation
PPM020083	PGS004065 (megaprs.auto.GCST90018959.Height)	PSS011259\| European Ancestry\| 66,700 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Height	β: 0.31748 [0.31028548, 0.32467847]	—	R²: 0.10079 [0.09627708, 0.10541611]	0	beta = sd_trait/sd_pgs = pearson correlation
PPM020084	PGS004065 (megaprs.auto.GCST90018959.Height)	PSS011287\| South Asian Ancestry\| 9,108 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Height	β: 0.26382 [0.24401318, 0.28363626]	—	R²: 0.0696 [0.05954243, 0.08044953]	0	beta = sd_trait/sd_pgs = pearson correlation
PPM020085	PGS004095 (prscs.auto.GCST90018959.Height)	PSS011219\| European Ancestry\| 190,013 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Height	β: 0.35864 [0.35443864, 0.3628331]	—	R²: 0.12862 [0.12562675, 0.13164786]	0	beta = sd_trait/sd_pgs = pearson correlation
PPM020086	PGS004095 (prscs.auto.GCST90018959.Height)	PSS011230\| European Ancestry\| 267,343 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Height	β: 0.33536 [0.33178622, 0.33892852]	—	R²: 0.11246 [0.11008209, 0.11487254]	0	beta = sd_trait/sd_pgs = pearson correlation
PPM020087	PGS004095 (prscs.auto.GCST90018959.Height)	PSS011243\| South Asian Ancestry\| 34,089 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Height	β: 0.26465 [0.25441737, 0.27489196]	—	R²: 0.07004 [0.0647282, 0.07556559]	0	beta = sd_trait/sd_pgs = pearson correlation
PPM020088	PGS004095 (prscs.auto.GCST90018959.Height)	PSS011259\| European Ancestry\| 66,700 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Height	β: 0.34613 [0.33900784, 0.35324788]	—	R²: 0.1198 [0.11492632, 0.12478407]	0	beta = sd_trait/sd_pgs = pearson correlation
PPM020089	PGS004095 (prscs.auto.GCST90018959.Height)	PSS011287\| South Asian Ancestry\| 9,108 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Height	β: 0.26176 [0.24194128, 0.28158742]	—	R²: 0.06852 [0.05853559, 0.07929148]	0	beta = sd_trait/sd_pgs = pearson correlation
PPM020061	PGS004119 (pt_clump.auto.GCST90018959.Height)	PSS011230\| European Ancestry\| 267,343 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Height	β: 0.26981 [0.26616479, 0.27346495]	—	R²: 0.0728 [0.0708437, 0.07478308]	0	beta = sd_trait/sd_pgs = pearson correlation
PPM020062	PGS004119 (pt_clump.auto.GCST90018959.Height)	PSS011243\| South Asian Ancestry\| 34,089 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Height	β: 0.25362 [0.24335441, 0.26389185]	—	R²: 0.06432 [0.05922137, 0.06963891]	0	beta = sd_trait/sd_pgs = pearson correlation
PPM020063	PGS004119 (pt_clump.auto.GCST90018959.Height)	PSS011259\| European Ancestry\| 66,700 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Height	β: 0.27669 [0.26939582, 0.2839815]	—	R²: 0.07656 [0.07257411, 0.08064549]	0	beta = sd_trait/sd_pgs = pearson correlation
PPM020064	PGS004119 (pt_clump.auto.GCST90018959.Height)	PSS011287\| South Asian Ancestry\| 9,108 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Height	β: 0.24036 [0.22042282, 0.26029703]	—	R²: 0.05777 [0.04858622, 0.06775454]	0	beta = sd_trait/sd_pgs = pearson correlation
PPM020060	PGS004119 (pt_clump.auto.GCST90018959.Height)	PSS011219\| European Ancestry\| 190,013 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Height	β: 0.29998 [0.29569282, 0.30427133]	—	R²: 0.08999 [0.08743424, 0.09258104]	0	beta = sd_trait/sd_pgs = pearson correlation
PPM020070	PGS004149 (sbayesr.auto.GCST90018959.Height)	PSS011219\| European Ancestry\| 190,013 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Height	β: 0.35918 [0.35498036, 0.36337294]	—	R²: 0.12901 [0.12601105, 0.1320399]	0	beta = sd_trait/sd_pgs = pearson correlation
PPM020071	PGS004149 (sbayesr.auto.GCST90018959.Height)	PSS011230\| European Ancestry\| 267,343 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Height	β: 0.32289 [0.31930445, 0.32647969]	—	R²: 0.10426 [0.10195533, 0.10658899]	0	beta = sd_trait/sd_pgs = pearson correlation
PPM020072	PGS004149 (sbayesr.auto.GCST90018959.Height)	PSS011243\| South Asian Ancestry\| 34,089 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Height	β: 0.28496 [0.27478665, 0.295138]	—	R²: 0.0812 [0.0755077, 0.08710644]	0	beta = sd_trait/sd_pgs = pearson correlation
PPM020073	PGS004149 (sbayesr.auto.GCST90018959.Height)	PSS011259\| European Ancestry\| 66,700 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Height	β: 0.33073 [0.32356545, 0.33788957]	—	R²: 0.10938 [0.1046946, 0.11416936]	0	beta = sd_trait/sd_pgs = pearson correlation
PPM020074	PGS004149 (sbayesr.auto.GCST90018959.Height)	PSS011287\| South Asian Ancestry\| 9,108 individuals	PGP000517 \| Monti R et al. Am J Hum Genet (2024)	Reported Trait: Height	β: 0.28263 [0.26292355, 0.30232726]	—	R²: 0.07988 [0.06912879, 0.09140177]	0	beta = sd_trait/sd_pgs = pearson correlation
PPM020144	PGS004211 (height_1)	PSS011296\| European Ancestry\| 45,334 individuals	PGP000520 \| Raben TG et al. Sci Rep (2023)	Reported Trait: Standing height	—	—	R²: 0.71113	year of birth, sex	—
PPM020145	PGS004212 (height_2)	PSS011296\| European Ancestry\| 45,334 individuals	PGP000520 \| Raben TG et al. Sci Rep (2023)	Reported Trait: Standing height	—	—	R²: 0.71242	year of birth, sex	—
PPM020146	PGS004213 (height_3)	PSS011296\| European Ancestry\| 45,334 individuals	PGP000520 \| Raben TG et al. Sci Rep (2023)	Reported Trait: Standing height	—	—	R²: 0.71113	year of birth, sex	—
PPM020147	PGS004214 (height_4)	PSS011296\| European Ancestry\| 45,334 individuals	PGP000520 \| Raben TG et al. Sci Rep (2023)	Reported Trait: Standing height	—	—	R²: 0.71242	year of birth, sex	—
PPM020148	PGS004215 (height_5)	PSS011296\| European Ancestry\| 45,334 individuals	PGP000520 \| Raben TG et al. Sci Rep (2023)	Reported Trait: Standing height	—	—	R²: 0.71242	year of birth, sex	—
PPM020522	PGS004407 (X50.score)	PSS011364\| European Ancestry\| 56,192 individuals	PGP000561 \| Jung H et al. Commun Biol (2024)	Reported Trait: Standing height	—	—	PGS R2 (no covariates): 0.32082	—	—
PPM020867	PGS004682 (height_AFR_lassosum2)	PSS011422\| African Ancestry\| 4,527 individuals	PGP000595 \| Zhang J et al. Nat Commun (2024)	Reported Trait: Height	—	—	adjusted R2: 0.0079	—	—
PPM020868	PGS004683 (height_AFR_ldpred2)	PSS011422\| African Ancestry\| 4,527 individuals	PGP000595 \| Zhang J et al. Nat Commun (2024)	Reported Trait: Height	—	—	adjusted R2: 0.0119	—	—
PPM020869	PGS004684 (height_AFR_PROSPER)	PSS011422\| African Ancestry\| 4,527 individuals	PGP000595 \| Zhang J et al. Nat Commun (2024)	Reported Trait: Height	—	—	adjusted R2: 0.0479	—	—
PPM020870	PGS004685 (height_AFR_weighted_lassosum2)	PSS011422\| African Ancestry\| 4,527 individuals	PGP000595 \| Zhang J et al. Nat Commun (2024)	Reported Trait: Height	—	—	adjusted R2: 0.0295	—	—
PPM020871	PGS004686 (height_AFR_weighted_ldpred2)	PSS011422\| African Ancestry\| 4,527 individuals	PGP000595 \| Zhang J et al. Nat Commun (2024)	Reported Trait: Height	—	—	adjusted R2: 0.0297	—	—
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)
PPM022133	PGS004995 (mean_Height_INT_ldpred_AFRss_afrld)	PSS011823\| European Ancestry\| 45,413 individuals	PGP000679 \| Gunn S et al. HGG Adv (2024)	Reported Trait: Height	β: 0.184 [0.18, 0.19]	—	R²: 0.064	score previously adjusted for age, sex, 20 PCs	—
PPM022139	PGS004995 (mean_Height_INT_ldpred_AFRss_afrld)	PSS011803\| African Ancestry\| 19,353 individuals	PGP000679 \| Gunn S et al. HGG Adv (2024)	Reported Trait: Height	β: 0.219 [0.21, 0.23]	—	R²: 0.081	score previously adjusted for age, sex, 20 PCs	—
PPM022145	PGS004995 (mean_Height_INT_ldpred_AFRss_afrld)	PSS011813\| Hispanic or Latin American Ancestry\| 13,065 individuals	PGP000679 \| Gunn S et al. HGG Adv (2024)	Reported Trait: Height	β: 0.181 [0.17, 0.19]	—	R²: 0.064	score previously adjusted for age, sex, 20 PCs	—
PPM022135	PGS004996 (mean_Height_INT_ldpred_EURss_eurld)	PSS011823\| European Ancestry\| 45,413 individuals	PGP000679 \| Gunn S et al. HGG Adv (2024)	Reported Trait: Height	β: 0.309 [0.3, 0.32]	—	R²: 0.18	score previously adjusted for age, sex, 20 PCs	—
PPM022141	PGS004996 (mean_Height_INT_ldpred_EURss_eurld)	PSS011803\| African Ancestry\| 19,353 individuals	PGP000679 \| Gunn S et al. HGG Adv (2024)	Reported Trait: Height	β: 0.174 [0.16, 0.18]	—	R²: 0.051	score previously adjusted for age, sex, 20 PCs	—
PPM022147	PGS004996 (mean_Height_INT_ldpred_EURss_eurld)	PSS011813\| Hispanic or Latin American Ancestry\| 13,065 individuals	PGP000679 \| Gunn S et al. HGG Adv (2024)	Reported Trait: Height	β: 0.253 [0.24, 0.26]	—	R²: 0.125	score previously adjusted for age, sex, 20 PCs	—
PPM022134	PGS004997 (mean_Height_INT_ldpred_HISss_amrld)	PSS011823\| European Ancestry\| 45,413 individuals	PGP000679 \| Gunn S et al. HGG Adv (2024)	Reported Trait: Height	β: 0.221 [0.21, 0.23]	—	R²: 0.092	score previously adjusted for age, sex, 20 PCs	—
PPM022140	PGS004997 (mean_Height_INT_ldpred_HISss_amrld)	PSS011803\| African Ancestry\| 19,353 individuals	PGP000679 \| Gunn S et al. HGG Adv (2024)	Reported Trait: Height	β: 0.166 [0.16, 0.18]	—	R²: 0.047	score previously adjusted for age, sex, 20 PCs	—
PPM022146	PGS004997 (mean_Height_INT_ldpred_HISss_amrld)	PSS011813\| Hispanic or Latin American Ancestry\| 13,065 individuals	PGP000679 \| Gunn S et al. HGG Adv (2024)	Reported Trait: Height	β: 0.25 [0.24, 0.26]	—	R²: 0.121	score previously adjusted for age, sex, 20 PCs	—
PPM022130	PGS004998 (mean_Height_INT_ldpred_METAss_afrld)	PSS011823\| European Ancestry\| 45,413 individuals	PGP000679 \| Gunn S et al. HGG Adv (2024)	Reported Trait: Height	β: 0.32 [0.31, 0.33]	—	R²: 0.193	score previously adjusted for age, sex, 20 PCs	—
PPM022136	PGS004998 (mean_Height_INT_ldpred_METAss_afrld)	PSS011803\| African Ancestry\| 19,353 individuals	PGP000679 \| Gunn S et al. HGG Adv (2024)	Reported Trait: Height	β: 0.252 [0.24, 0.26]	—	R²: 0.107	score previously adjusted for age, sex, 20 PCs	—
PPM022142	PGS004998 (mean_Height_INT_ldpred_METAss_afrld)	PSS011813\| Hispanic or Latin American Ancestry\| 13,065 individuals	PGP000679 \| Gunn S et al. HGG Adv (2024)	Reported Trait: Height	β: 0.291 [0.28, 0.3]	—	R²: 0.164	score previously adjusted for age, sex, 20 PCs	—
PPM022131	PGS004999 (mean_Height_INT_ldpred_METAss_amrld)	PSS011823\| European Ancestry\| 45,413 individuals	PGP000679 \| Gunn S et al. HGG Adv (2024)	Reported Trait: Height	β: 0.337 [0.33, 0.34]	—	R²: 0.214	score previously adjusted for age, sex, 20 PCs	—
PPM022137	PGS004999 (mean_Height_INT_ldpred_METAss_amrld)	PSS011803\| African Ancestry\| 19,353 individuals	PGP000679 \| Gunn S et al. HGG Adv (2024)	Reported Trait: Height	β: 0.274 [0.26, 0.28]	—	R²: 0.127	score previously adjusted for age, sex, 20 PCs	—
PPM022143	PGS004999 (mean_Height_INT_ldpred_METAss_amrld)	PSS011813\| Hispanic or Latin American Ancestry\| 13,065 individuals	PGP000679 \| Gunn S et al. HGG Adv (2024)	Reported Trait: Height	β: 0.306 [0.3, 0.32]	—	R²: 0.183	score previously adjusted for age, sex, 20 PCs	—
PPM022132	PGS005000 (mean_Height_INT_ldpred_METAss_eurld)	PSS011823\| European Ancestry\| 45,413 individuals	PGP000679 \| Gunn S et al. HGG Adv (2024)	Reported Trait: Height	β: 0.328 [0.32, 0.33]	—	R²: 0.202	score previously adjusted for age, sex, 20 PCs	—
PPM022138	PGS005000 (mean_Height_INT_ldpred_METAss_eurld)	PSS011803\| African Ancestry\| 19,353 individuals	PGP000679 \| Gunn S et al. HGG Adv (2024)	Reported Trait: Height	β: 0.216 [0.21, 0.23]	—	R²: 0.079	score previously adjusted for age, sex, 20 PCs	—
PPM022144	PGS005000 (mean_Height_INT_ldpred_METAss_eurld)	PSS011813\| Hispanic or Latin American Ancestry\| 13,065 individuals	PGP000679 \| Gunn S et al. HGG Adv (2024)	Reported Trait: Height	β: 0.253 [0.24, 0.26]	—	R²: 0.125	score previously adjusted for age, sex, 20 PCs	—
PPM022038	PGS005001 (mean_Height_INT_prscs_AFRss_afrld)	PSS011823\| European Ancestry\| 45,413 individuals	PGP000679 \| Gunn S et al. HGG Adv (2024)	Reported Trait: Height	β: 0.179 [0.17, 0.19]	—	R²: 0.06	score previously adjusted for age, sex, 20 PCs	—
PPM022045	PGS005001 (mean_Height_INT_prscs_AFRss_afrld)	PSS011803\| African Ancestry\| 19,353 individuals	PGP000679 \| Gunn S et al. HGG Adv (2024)	Reported Trait: Height	β: 0.166 [0.15, 0.18]	—	R²: 0.046	score previously adjusted for age, sex, 20 PCs	—
PPM022052	PGS005001 (mean_Height_INT_prscs_AFRss_afrld)	PSS011813\| Hispanic or Latin American Ancestry\| 13,065 individuals	PGP000679 \| Gunn S et al. HGG Adv (2024)	Reported Trait: Height	β: 0.144 [0.13, 0.16]	—	R²: 0.04	score previously adjusted for age, sex, 20 PCs	—
PPM022040	PGS005002 (mean_Height_INT_prscs_EURss_eurld)	PSS011823\| European Ancestry\| 45,413 individuals	PGP000679 \| Gunn S et al. HGG Adv (2024)	Reported Trait: Height	β: 0.374 [0.37, 0.38]	—	R²: 0.263	score previously adjusted for age, sex, 20 PCs	—
PPM022047	PGS005002 (mean_Height_INT_prscs_EURss_eurld)	PSS011803\| African Ancestry\| 19,353 individuals	PGP000679 \| Gunn S et al. HGG Adv (2024)	Reported Trait: Height	β: 0.22 [0.21, 0.23]	—	R²: 0.082	score previously adjusted for age, sex, 20 PCs	—
PPM022054	PGS005002 (mean_Height_INT_prscs_EURss_eurld)	PSS011813\| Hispanic or Latin American Ancestry\| 13,065 individuals	PGP000679 \| Gunn S et al. HGG Adv (2024)	Reported Trait: Height	β: 0.311 [0.3, 0.32]	—	R²: 0.188	score previously adjusted for age, sex, 20 PCs	—
PPM022039	PGS005003 (mean_Height_INT_prscs_HISss_amrld)	PSS011823\| European Ancestry\| 45,413 individuals	PGP000679 \| Gunn S et al. HGG Adv (2024)	Reported Trait: Height	β: 0.234 [0.23, 0.24]	—	R²: 0.103	score previously adjusted for age, sex, 20 PCs	—
PPM022046	PGS005003 (mean_Height_INT_prscs_HISss_amrld)	PSS011803\| African Ancestry\| 19,353 individuals	PGP000679 \| Gunn S et al. HGG Adv (2024)	Reported Trait: Height	β: 0.163 [0.15, 0.17]	—	R²: 0.045	score previously adjusted for age, sex, 20 PCs	—
PPM022053	PGS005003 (mean_Height_INT_prscs_HISss_amrld)	PSS011813\| Hispanic or Latin American Ancestry\| 13,065 individuals	PGP000679 \| Gunn S et al. HGG Adv (2024)	Reported Trait: Height	β: 0.234 [0.22, 0.25]	—	R²: 0.107	score previously adjusted for age, sex, 20 PCs	—
PPM022035	PGS005004 (mean_Height_INT_prscs_METAss_afrld)	PSS011823\| European Ancestry\| 45,413 individuals	PGP000679 \| Gunn S et al. HGG Adv (2024)	Reported Trait: Height	β: 0.288 [0.28, 0.29]	—	R²: 0.156	score previously adjusted for age, sex, 20 PCs	—
PPM022042	PGS005004 (mean_Height_INT_prscs_METAss_afrld)	PSS011803\| African Ancestry\| 19,353 individuals	PGP000679 \| Gunn S et al. HGG Adv (2024)	Reported Trait: Height	β: 0.221 [0.21, 0.23]	—	R²: 0.083	score previously adjusted for age, sex, 20 PCs	—
PPM022049	PGS005004 (mean_Height_INT_prscs_METAss_afrld)	PSS011813\| Hispanic or Latin American Ancestry\| 13,065 individuals	PGP000679 \| Gunn S et al. HGG Adv (2024)	Reported Trait: Height	β: 0.263 [0.25, 0.27]	—	R²: 0.135	score previously adjusted for age, sex, 20 PCs	—
PPM022036	PGS005005 (mean_Height_INT_prscs_METAss_amrld)	PSS011823\| European Ancestry\| 45,413 individuals	PGP000679 \| Gunn S et al. HGG Adv (2024)	Reported Trait: Height	β: 0.296 [0.29, 0.3]	—	R²: 0.165	score previously adjusted for age, sex, 20 PCs	—
PPM022043	PGS005005 (mean_Height_INT_prscs_METAss_amrld)	PSS011803\| African Ancestry\| 19,353 individuals	PGP000679 \| Gunn S et al. HGG Adv (2024)	Reported Trait: Height	β: 0.23 [0.22, 0.24]	—	R²: 0.09	score previously adjusted for age, sex, 20 PCs	—
PPM022050	PGS005005 (mean_Height_INT_prscs_METAss_amrld)	PSS011813\| Hispanic or Latin American Ancestry\| 13,065 individuals	PGP000679 \| Gunn S et al. HGG Adv (2024)	Reported Trait: Height	β: 0.254 [0.24, 0.27]	—	R²: 0.126	score previously adjusted for age, sex, 20 PCs	—
PPM022037	PGS005006 (mean_Height_INT_prscs_METAss_eurld)	PSS011823\| European Ancestry\| 45,413 individuals	PGP000679 \| Gunn S et al. HGG Adv (2024)	Reported Trait: Height	β: 0.291 [0.28, 0.3]	—	R²: 0.159	score previously adjusted for age, sex, 20 PCs	—
PPM022044	PGS005006 (mean_Height_INT_prscs_METAss_eurld)	PSS011803\| African Ancestry\| 19,353 individuals	PGP000679 \| Gunn S et al. HGG Adv (2024)	Reported Trait: Height	β: 0.174 [0.16, 0.18]	—	R²: 0.051	score previously adjusted for age, sex, 20 PCs	—
PPM022051	PGS005006 (mean_Height_INT_prscs_METAss_eurld)	PSS011813\| Hispanic or Latin American Ancestry\| 13,065 individuals	PGP000679 \| Gunn S et al. HGG Adv (2024)	Reported Trait: Height	β: 0.199 [0.19, 0.21]	—	R²: 0.077	score previously adjusted for age, sex, 20 PCs	—
PPM022034	PGS005007 (mean_Height_INT_prscsx_METAweight)	PSS011823\| European Ancestry\| 45,413 individuals	PGP000679 \| Gunn S et al. HGG Adv (2024)	Reported Trait: Height	β: 0.378 [0.37, 0.38]	—	R²: 0.269	score previously adjusted for age, sex, 20 PCs	—
PPM022041	PGS005007 (mean_Height_INT_prscsx_METAweight)	PSS011803\| African Ancestry\| 19,353 individuals	PGP000679 \| Gunn S et al. HGG Adv (2024)	Reported Trait: Height	β: 0.267 [0.26, 0.28]	—	R²: 0.121	score previously adjusted for age, sex, 20 PCs	—
PPM022048	PGS005007 (mean_Height_INT_prscsx_METAweight)	PSS011813\| Hispanic or Latin American Ancestry\| 13,065 individuals	PGP000679 \| Gunn S et al. HGG Adv (2024)	Reported Trait: Height	β: 0.316 [0.3, 0.33]	—	R²: 0.194	score previously adjusted for age, sex, 20 PCs	—

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
PSS008518	—	—	1,180 individuals	—	Greater Middle Eastern (Middle Eastern, North African or Persian)	Iran (Middle East)	UKB	—
PSS009416	—	—	19,953 individuals	—	European	UK (+ Ireland)	UKB	—
PSS004801	—	—	253 individuals	—	African unspecified	—	UKB	—
PSS004802	—	—	133 individuals	—	East Asian	—	UKB	—
PSS004803	—	—	2,131 individuals	—	European	non-white British ancestry	UKB	—
PSS004804	—	—	414 individuals	—	South Asian	—	UKB	—
PSS004805	—	—	6,641 individuals	—	European	white British ancestry	UKB	Testing cohort (heldout set)
PSS010792	—	—	4,115 individuals, 38.0 % Male samples	Mean = 54.3 years Sd = 7.5 years	European	Polish	UKB	—
PSS011097	—	—	2,669 individuals	—	Greater Middle Eastern (Middle Eastern, North African or Persian) (Arab)	—	NR	N total after excluding missing values = 2,553
PSS011146	—	—	67,603 individuals	—	European (white British ancestry)	—	UKB	—
PSS010540	—	—	1,151 individuals, 60.0 % Male samples	Mean = 52.0 years Sd = 8.0 years	Greater Middle Eastern (Middle Eastern, North African or Persian)	Iranian	UKB	—
PSS011287	—	—	9,108 individuals	—	South Asian	—	UKB	—
PSS010288	—	—	2,437 individuals, 36.0 % Male samples	Mean = 52.5 years Sd = 8.1 years	African American or Afro-Caribbean	Caribbean	UKB	—
PSS011159	—	—	1,191 individuals	—	African unspecified	—	UKB	—
PSS009771	—	—	6,410 individuals	—	African unspecified	—	UKB	—
PSS009772	—	—	916 individuals	—	East Asian	—	UKB	—
PSS009773	—	—	43,376 individuals	—	European	Non-British European	UKB	—
PSS009190	—	—	4,126 individuals	—	European	Poland (NE Europe)	UKB	—
PSS009774	—	—	7,921 individuals	—	South Asian	—	UKB	—
PSS008296	—	—	6,152 individuals	—	South Asian	India (South Asia)	UKB	—
PSS011042	—	—	9,969 individuals, 47.0 % Male samples	Mean = 56.86 years Sd = 8.05 years	European	—	UKB	—
PSS011041	—	—	4,527 individuals, 42.0 % Male samples	Mean = 51.82 years Sd = 8.06 years	African American or Afro-Caribbean (African American)	—	UKB	—
PSS011173	—	—	7,968 individuals	—	East Asian, Other admixed ancestry	East Asian, Other admixed ancestry	UKB	—
PSS007396	—	—	6,407 individuals	—	African unspecified	—	UKB	—
PSS007397	—	—	1,697 individuals	—	East Asian	—	UKB	—
PSS007398	—	—	24,826 individuals	—	European	non-white British ancestry	UKB	—
PSS007399	—	—	7,650 individuals	—	South Asian	—	UKB	—
PSS007400	—	—	67,298 individuals	—	European	white British ancestry	UKB	Testing cohort (heldout set)
PSS000369	Individuals who have been referred to a child psychiatric outpatient clinic in the Northern Netherlands before the age of 11. We measured weight and height using regularly calibrated equipment (scales and stadiometer models 770 and 214, respectively; Seca, Hamburg, Germany). Body mass index (BMI; in kg/m2) was also calculated. We measured waist circumference at the midpoint between the lower costal margin and the iliac crest. The hip circumference was measured over both trochanter majores (tangible bone on the outside of the hip joint). Waist to hip ratio was also calculated. We performed all measurements in duplicate, and, if the difference between these measurements exceeded a predefined value, a third measurement was performed. All available measurements were used to calculate means. Heart rate, systolic (SBP) and diastolic (DBP) blood pressure were measured in duplicate with a Dinamap Critikon 1846SX (Critikon Inc, Tampa, FL), from which we calculated means. At the third visit, fasting blood sample of participants were drawn for the measurement of glucose (Roche Diagnostics, Basel, Switzerland), insulin (Diagnostic Systems Laboratories Inc, Webster, TX), HbA1c (high performance liquid chromatography, Variant, Bio-Rad), triglycerides, total cholesterol, HDL cholesterol (Roche Diagnostics) and LDL cholesterol (calculated according to Friedewald’s equation5), as well as alanine transaminase (Photometric determination according to the reference method of the International Federation of Clinical Chemistry (IFCC)6) and lipoprotein(a) (Nephelometric method, BN2, DadeBehring). Serum creatinine was measured by photometric determination with the Jaffé method without deproteinisation (Ecoline® MEGA, DiaSys Diagnostic Systems GmbH. Merck). eGFR for adolescents who were younger than 18 years old was calculated using the Schwartz formula.7 High‐sensitivity C‐reactive protein (hsCRP) was determined using an immunonephelometric method, BN2 (CardioPhase hsCRP, Siemens) with a lower detection limit of 0.175 mg/L. Total IgE measurements were performed using the Phadia Immunocap 100 system with fluoroenzyme immunoassay (FEIA).	—	334 individuals, 69.2 % Male samples	Mean = 11.1 years Sd = 0.48 years	European	—	TRAILS, TRAILSCC	TRAILS Clinical Cohort
PSS000370	Individuals who have been referred to a child psychiatric outpatient clinic in the Northern Netherlands before the age of 11. We measured weight and height using regularly calibrated equipment (scales and stadiometer models 770 and 214, respectively; Seca, Hamburg, Germany). Body mass index (BMI; in kg/m2) was also calculated. We measured waist circumference at the midpoint between the lower costal margin and the iliac crest. The hip circumference was measured over both trochanter majores (tangible bone on the outside of the hip joint). Waist to hip ratio was also calculated. We performed all measurements in duplicate, and, if the difference between these measurements exceeded a predefined value, a third measurement was performed. All available measurements were used to calculate means. Heart rate, systolic (SBP) and diastolic (DBP) blood pressure were measured in duplicate with a Dinamap Critikon 1846SX (Critikon Inc, Tampa, FL), from which we calculated means. At the third visit, fasting blood sample of participants were drawn for the measurement of glucose (Roche Diagnostics, Basel, Switzerland), insulin (Diagnostic Systems Laboratories Inc, Webster, TX), HbA1c (high performance liquid chromatography, Variant, Bio-Rad), triglycerides, total cholesterol, HDL cholesterol (Roche Diagnostics) and LDL cholesterol (calculated according to Friedewald’s equation5), as well as alanine transaminase (Photometric determination according to the reference method of the International Federation of Clinical Chemistry (IFCC)6) and lipoprotein(a) (Nephelometric method, BN2, DadeBehring). Serum creatinine was measured by photometric determination with the Jaffé method without deproteinisation (Ecoline® MEGA, DiaSys Diagnostic Systems GmbH. Merck). eGFR for adolescents who were younger than 18 years old was calculated using the Schwartz formula.7 High‐sensitivity C‐reactive protein (hsCRP) was determined using an immunonephelometric method, BN2 (CardioPhase hsCRP, Siemens) with a lower detection limit of 0.175 mg/L. Total IgE measurements were performed using the Phadia Immunocap 100 system with fluoroenzyme immunoassay (FEIA).	—	329 individuals, 69.2 % Male samples	Mean = 12.81 years Sd = 0.59 years	European	—	TRAILS, TRAILSCC	TRAILS Clinical Cohort
PSS000371	Individuals who have been referred to a child psychiatric outpatient clinic in the Northern Netherlands before the age of 11. We measured weight and height using regularly calibrated equipment (scales and stadiometer models 770 and 214, respectively; Seca, Hamburg, Germany). Body mass index (BMI; in kg/m2) was also calculated. We measured waist circumference at the midpoint between the lower costal margin and the iliac crest. The hip circumference was measured over both trochanter majores (tangible bone on the outside of the hip joint). Waist to hip ratio was also calculated. We performed all measurements in duplicate, and, if the difference between these measurements exceeded a predefined value, a third measurement was performed. All available measurements were used to calculate means. Heart rate, systolic (SBP) and diastolic (DBP) blood pressure were measured in duplicate with a Dinamap Critikon 1846SX (Critikon Inc, Tampa, FL), from which we calculated means. At the third visit, fasting blood sample of participants were drawn for the measurement of glucose (Roche Diagnostics, Basel, Switzerland), insulin (Diagnostic Systems Laboratories Inc, Webster, TX), HbA1c (high performance liquid chromatography, Variant, Bio-Rad), triglycerides, total cholesterol, HDL cholesterol (Roche Diagnostics) and LDL cholesterol (calculated according to Friedewald’s equation5), as well as alanine transaminase (Photometric determination according to the reference method of the International Federation of Clinical Chemistry (IFCC)6) and lipoprotein(a) (Nephelometric method, BN2, DadeBehring). Serum creatinine was measured by photometric determination with the Jaffé method without deproteinisation (Ecoline® MEGA, DiaSys Diagnostic Systems GmbH. Merck). eGFR for adolescents who were younger than 18 years old was calculated using the Schwartz formula.7 High‐sensitivity C‐reactive protein (hsCRP) was determined using an immunonephelometric method, BN2 (CardioPhase hsCRP, Siemens) with a lower detection limit of 0.175 mg/L. Total IgE measurements were performed using the Phadia Immunocap 100 system with fluoroenzyme immunoassay (FEIA).	—	288 individuals, 69.2 % Male samples	Mean = 15.83 years Sd = 0.6 years	European	—	TRAILS, TRAILSCC	TRAILS Clinical Cohort
PSS000372	Individuals who have been referred to a child psychiatric outpatient clinic in the Northern Netherlands before the age of 11. We measured weight and height using regularly calibrated equipment (scales and stadiometer models 770 and 214, respectively; Seca, Hamburg, Germany). Body mass index (BMI; in kg/m2) was also calculated. We measured waist circumference at the midpoint between the lower costal margin and the iliac crest. The hip circumference was measured over both trochanter majores (tangible bone on the outside of the hip joint). Waist to hip ratio was also calculated. We performed all measurements in duplicate, and, if the difference between these measurements exceeded a predefined value, a third measurement was performed. All available measurements were used to calculate means. Heart rate, systolic (SBP) and diastolic (DBP) blood pressure were measured in duplicate with a Dinamap Critikon 1846SX (Critikon Inc, Tampa, FL), from which we calculated means. At the third visit, fasting blood sample of participants were drawn for the measurement of glucose (Roche Diagnostics, Basel, Switzerland), insulin (Diagnostic Systems Laboratories Inc, Webster, TX), HbA1c (high performance liquid chromatography, Variant, Bio-Rad), triglycerides, total cholesterol, HDL cholesterol (Roche Diagnostics) and LDL cholesterol (calculated according to Friedewald’s equation5), as well as alanine transaminase (Photometric determination according to the reference method of the International Federation of Clinical Chemistry (IFCC)6) and lipoprotein(a) (Nephelometric method, BN2, DadeBehring). Serum creatinine was measured by photometric determination with the Jaffé method without deproteinisation (Ecoline® MEGA, DiaSys Diagnostic Systems GmbH. Merck). eGFR for adolescents who were younger than 18 years old was calculated using the Schwartz formula.7 High‐sensitivity C‐reactive protein (hsCRP) was determined using an immunonephelometric method, BN2 (CardioPhase hsCRP, Siemens) with a lower detection limit of 0.175 mg/L. Total IgE measurements were performed using the Phadia Immunocap 100 system with fluoroenzyme immunoassay (FEIA).	—	265 individuals, 69.2 % Male samples	Mean = 19.2 years Sd = 0.66 years	European	—	TRAILS, TRAILSCC	TRAILS Clinical Cohort
PSS000373	Individuals who have been referred to a child psychiatric outpatient clinic in the Northern Netherlands before the age of 11. We measured weight and height using regularly calibrated equipment (scales and stadiometer models 770 and 214, respectively; Seca, Hamburg, Germany). Body mass index (BMI; in kg/m2) was also calculated. We measured waist circumference at the midpoint between the lower costal margin and the iliac crest. The hip circumference was measured over both trochanter majores (tangible bone on the outside of the hip joint). Waist to hip ratio was also calculated. We performed all measurements in duplicate, and, if the difference between these measurements exceeded a predefined value, a third measurement was performed. All available measurements were used to calculate means. Heart rate, systolic (SBP) and diastolic (DBP) blood pressure were measured in duplicate with a Dinamap Critikon 1846SX (Critikon Inc, Tampa, FL), from which we calculated means. At the third visit, fasting blood sample of participants were drawn for the measurement of glucose (Roche Diagnostics, Basel, Switzerland), insulin (Diagnostic Systems Laboratories Inc, Webster, TX), HbA1c (high performance liquid chromatography, Variant, Bio-Rad), triglycerides, total cholesterol, HDL cholesterol (Roche Diagnostics) and LDL cholesterol (calculated according to Friedewald’s equation5), as well as alanine transaminase (Photometric determination according to the reference method of the International Federation of Clinical Chemistry (IFCC)6) and lipoprotein(a) (Nephelometric method, BN2, DadeBehring). Serum creatinine was measured by photometric determination with the Jaffé method without deproteinisation (Ecoline® MEGA, DiaSys Diagnostic Systems GmbH. Merck). eGFR for adolescents who were younger than 18 years old was calculated using the Schwartz formula.7 High‐sensitivity C‐reactive protein (hsCRP) was determined using an immunonephelometric method, BN2 (CardioPhase hsCRP, Siemens) with a lower detection limit of 0.175 mg/L. Total IgE measurements were performed using the Phadia Immunocap 100 system with fluoroenzyme immunoassay (FEIA).	—	245 individuals, 69.2 % Male samples	Mean = 22.04 years Sd = 0.69 years	European	—	TRAILS, TRAILSCC	TRAILS Clinical Cohort
PSS000374	We measured weight and height using regularly calibrated equipment (scales and stadiometer models 770 and 214, respectively; Seca, Hamburg, Germany). Body mass index (BMI; in kg/m2) was also calculated. We measured waist circumference at the midpoint between the lower costal margin and the iliac crest. The hip circumference was measured over both trochanter majores (tangible bone on the outside of the hip joint). Waist to hip ratio was also calculated. We performed all measurements in duplicate, and, if the difference between these measurements exceeded a predefined value, a third measurement was performed. All available measurements were used to calculate means. Heart rate, systolic (SBP) and diastolic (DBP) blood pressure were measured in duplicate with a Dinamap Critikon 1846SX (Critikon Inc, Tampa, FL), from which we calculated means. At the third visit, fasting blood sample of participants were drawn for the measurement of glucose (Roche Diagnostics, Basel, Switzerland), insulin (Diagnostic Systems Laboratories Inc, Webster, TX), HbA1c (high performance liquid chromatography, Variant, Bio-Rad), triglycerides, total cholesterol, HDL cholesterol (Roche Diagnostics) and LDL cholesterol (calculated according to Friedewald’s equation5), as well as alanine transaminase (Photometric determination according to the reference method of the International Federation of Clinical Chemistry (IFCC)6) and lipoprotein(a) (Nephelometric method, BN2, DadeBehring). Serum creatinine was measured by photometric determination with the Jaffé method without deproteinisation (Ecoline® MEGA, DiaSys Diagnostic Systems GmbH. Merck). eGFR for adolescents who were younger than 18 years old was calculated using the Schwartz formula.7 High‐sensitivity C‐reactive protein (hsCRP) was determined using an immunonephelometric method, BN2 (CardioPhase hsCRP, Siemens) with a lower detection limit of 0.175 mg/L. Total IgE measurements were performed using the Phadia Immunocap 100 system with fluoroenzyme immunoassay (FEIA).	—	1,318 individuals, 47.6 % Male samples	Mean = 11.1 years	European	—	TRAILS	—
PSS000375	We measured weight and height using regularly calibrated equipment (scales and stadiometer models 770 and 214, respectively; Seca, Hamburg, Germany). Body mass index (BMI; in kg/m2) was also calculated. We measured waist circumference at the midpoint between the lower costal margin and the iliac crest. The hip circumference was measured over both trochanter majores (tangible bone on the outside of the hip joint). Waist to hip ratio was also calculated. We performed all measurements in duplicate, and, if the difference between these measurements exceeded a predefined value, a third measurement was performed. All available measurements were used to calculate means. Heart rate, systolic (SBP) and diastolic (DBP) blood pressure were measured in duplicate with a Dinamap Critikon 1846SX (Critikon Inc, Tampa, FL), from which we calculated means. At the third visit, fasting blood sample of participants were drawn for the measurement of glucose (Roche Diagnostics, Basel, Switzerland), insulin (Diagnostic Systems Laboratories Inc, Webster, TX), HbA1c (high performance liquid chromatography, Variant, Bio-Rad), triglycerides, total cholesterol, HDL cholesterol (Roche Diagnostics) and LDL cholesterol (calculated according to Friedewald’s equation5), as well as alanine transaminase (Photometric determination according to the reference method of the International Federation of Clinical Chemistry (IFCC)6) and lipoprotein(a) (Nephelometric method, BN2, DadeBehring). Serum creatinine was measured by photometric determination with the Jaffé method without deproteinisation (Ecoline® MEGA, DiaSys Diagnostic Systems GmbH. Merck). eGFR for adolescents who were younger than 18 years old was calculated using the Schwartz formula.7 High‐sensitivity C‐reactive protein (hsCRP) was determined using an immunonephelometric method, BN2 (CardioPhase hsCRP, Siemens) with a lower detection limit of 0.175 mg/L. Total IgE measurements were performed using the Phadia Immunocap 100 system with fluoroenzyme immunoassay (FEIA).	—	1,313 individuals, 47.6 % Male samples	Mean = 13.5 years	European	—	TRAILS	—
PSS000376	We measured weight and height using regularly calibrated equipment (scales and stadiometer models 770 and 214, respectively; Seca, Hamburg, Germany). Body mass index (BMI; in kg/m2) was also calculated. We measured waist circumference at the midpoint between the lower costal margin and the iliac crest. The hip circumference was measured over both trochanter majores (tangible bone on the outside of the hip joint). Waist to hip ratio was also calculated. We performed all measurements in duplicate, and, if the difference between these measurements exceeded a predefined value, a third measurement was performed. All available measurements were used to calculate means. Heart rate, systolic (SBP) and diastolic (DBP) blood pressure were measured in duplicate with a Dinamap Critikon 1846SX (Critikon Inc, Tampa, FL), from which we calculated means. At the third visit, fasting blood sample of participants were drawn for the measurement of glucose (Roche Diagnostics, Basel, Switzerland), insulin (Diagnostic Systems Laboratories Inc, Webster, TX), HbA1c (high performance liquid chromatography, Variant, Bio-Rad), triglycerides, total cholesterol, HDL cholesterol (Roche Diagnostics) and LDL cholesterol (calculated according to Friedewald’s equation5), as well as alanine transaminase (Photometric determination according to the reference method of the International Federation of Clinical Chemistry (IFCC)6) and lipoprotein(a) (Nephelometric method, BN2, DadeBehring). Serum creatinine was measured by photometric determination with the Jaffé method without deproteinisation (Ecoline® MEGA, DiaSys Diagnostic Systems GmbH. Merck). eGFR for adolescents who were younger than 18 years old was calculated using the Schwartz formula.7 High‐sensitivity C‐reactive protein (hsCRP) was determined using an immunonephelometric method, BN2 (CardioPhase hsCRP, Siemens) with a lower detection limit of 0.175 mg/L. Total IgE measurements were performed using the Phadia Immunocap 100 system with fluoroenzyme immunoassay (FEIA).	—	1,354 individuals, 47.56 % Male samples	Mean = 16.22 years Sd = 0.66 years	European	—	TRAILS	—
PSS000377	We measured weight and height using regularly calibrated equipment (scales and stadiometer models 770 and 214, respectively; Seca, Hamburg, Germany). Body mass index (BMI; in kg/m2) was also calculated. We measured waist circumference at the midpoint between the lower costal margin and the iliac crest. The hip circumference was measured over both trochanter majores (tangible bone on the outside of the hip joint). Waist to hip ratio was also calculated. We performed all measurements in duplicate, and, if the difference between these measurements exceeded a predefined value, a third measurement was performed. All available measurements were used to calculate means. Heart rate, systolic (SBP) and diastolic (DBP) blood pressure were measured in duplicate with a Dinamap Critikon 1846SX (Critikon Inc, Tampa, FL), from which we calculated means. At the third visit, fasting blood sample of participants were drawn for the measurement of glucose (Roche Diagnostics, Basel, Switzerland), insulin (Diagnostic Systems Laboratories Inc, Webster, TX), HbA1c (high performance liquid chromatography, Variant, Bio-Rad), triglycerides, total cholesterol, HDL cholesterol (Roche Diagnostics) and LDL cholesterol (calculated according to Friedewald’s equation5), as well as alanine transaminase (Photometric determination according to the reference method of the International Federation of Clinical Chemistry (IFCC)6) and lipoprotein(a) (Nephelometric method, BN2, DadeBehring). Serum creatinine was measured by photometric determination with the Jaffé method without deproteinisation (Ecoline® MEGA, DiaSys Diagnostic Systems GmbH. Merck). eGFR for adolescents who were younger than 18 years old was calculated using the Schwartz formula.7 High‐sensitivity C‐reactive protein (hsCRP) was determined using an immunonephelometric method, BN2 (CardioPhase hsCRP, Siemens) with a lower detection limit of 0.175 mg/L. Total IgE measurements were performed using the Phadia Immunocap 100 system with fluoroenzyme immunoassay (FEIA).	—	1,174 individuals, 47.6 % Male samples	Mean = 19.2 years	European	—	TRAILS	—
PSS000378	We measured weight and height using regularly calibrated equipment (scales and stadiometer models 770 and 214, respectively; Seca, Hamburg, Germany). Body mass index (BMI; in kg/m2) was also calculated. We measured waist circumference at the midpoint between the lower costal margin and the iliac crest. The hip circumference was measured over both trochanter majores (tangible bone on the outside of the hip joint). Waist to hip ratio was also calculated. We performed all measurements in duplicate, and, if the difference between these measurements exceeded a predefined value, a third measurement was performed. All available measurements were used to calculate means. Heart rate, systolic (SBP) and diastolic (DBP) blood pressure were measured in duplicate with a Dinamap Critikon 1846SX (Critikon Inc, Tampa, FL), from which we calculated means. At the third visit, fasting blood sample of participants were drawn for the measurement of glucose (Roche Diagnostics, Basel, Switzerland), insulin (Diagnostic Systems Laboratories Inc, Webster, TX), HbA1c (high performance liquid chromatography, Variant, Bio-Rad), triglycerides, total cholesterol, HDL cholesterol (Roche Diagnostics) and LDL cholesterol (calculated according to Friedewald’s equation5), as well as alanine transaminase (Photometric determination according to the reference method of the International Federation of Clinical Chemistry (IFCC)6) and lipoprotein(a) (Nephelometric method, BN2, DadeBehring). Serum creatinine was measured by photometric determination with the Jaffé method without deproteinisation (Ecoline® MEGA, DiaSys Diagnostic Systems GmbH. Merck). eGFR for adolescents who were younger than 18 years old was calculated using the Schwartz formula.7 High‐sensitivity C‐reactive protein (hsCRP) was determined using an immunonephelometric method, BN2 (CardioPhase hsCRP, Siemens) with a lower detection limit of 0.175 mg/L. Total IgE measurements were performed using the Phadia Immunocap 100 system with fluoroenzyme immunoassay (FEIA).	—	1,095 individuals, 47.6 % Male samples	Mean = 22.4 years	European	—	TRAILS	—
PSS000911	—	—	13,989 individuals	—	Greater Middle Eastern (Middle Eastern, North African or Persian) (Qatari)	—	QBB	—
PSS009934	—	—	28,909 individuals, 38.0 % Male samples	—	East Asian (Han Chinese)	—	TWB	—
PSS010007	body height (cm); Quantitative	—	23,349 individuals	—	European	—	MGI	—
PSS010456	—	—	6,100 individuals, 53.0 % Male samples	Mean = 53.3 years Sd = 8.4 years	South Asian	Indian	UKB	—
PSS010708	—	—	3,834 individuals, 46.0 % Male samples	Mean = 51.9 years Sd = 8.1 years	African unspecified	Nigerian	UKB	—
PSS011497	—	—	9,045 individuals	—	European	—	AllofUs	—
PSS000967	—	—	941 individuals [ 21 cases , 920 controls ] , 42.5 % Male samples	—	European	—	ALSPAC	—
PSS010204	—	—	2,346 individuals, 45.0 % Male samples	Mean = 58.1 years Sd = 7.1 years	European	Ashkenazi	UKB	—
PSS000969	—	—	81,902 individuals, 45.9 % Male samples	—	European	—	UKB	This dataset is independent of UKB source/training and model selection datasets
PSS008964	—	—	3,863 individuals	—	African unspecified	Nigeria (West Africa)	UKB	—
PSS009972	—	—	2,246 individuals	—	East Asian	—	UKB	—
PSS009973	—	—	14,058 individuals	—	European	—	NR	LLB
PSS009974	—	—	14,587 individuals	—	European	—	UKB	—
PSS009975	—	—	5,798 individuals	—	Hispanic or Latin American	—	PAGE	—
PSS008073	—	—	1,801 individuals	—	East Asian	China (East Asia)	UKB	—
PSS009976	—	—	9,257 individuals	—	South Asian	—	UKB	—
PSS009977	—	—	6,911 individuals	—	African unspecified	—	PAGE	—
PSS009978	—	—	8,238 individuals	—	African unspecified	—	UKB	—
PSS011219	—	—	190,013 individuals	—	European	—	EB	—
PSS010029	Field ID: 50; Quantitative	—	203,681 individuals	—	European	—	UKB	—
PSS011230	—	—	267,343 individuals	—	European	—	FinnGen	—
PSS011498	—	—	6,835 individuals	—	South Asian	—	G&H	—
PSS011103	—	—	2,885 individuals	—	European (non-white British ancestry)	—	UKB	—
PSS011364	—	—	56,192 individuals	—	European	—	UKB	—
PSS010876	—	—	19,949 individuals, 46.0 % Male samples	Mean = 56.9 years Sd = 7.9 years	European	white British	UKB	—
PSS010624	—	—	6,470 individuals, 45.0 % Male samples	Mean = 54.5 years Sd = 8.4 years	European	Italian	UKB	—
PSS008744	—	—	6,633 individuals	—	European	Italy (South Europe)	UKB	—
PSS011243	—	—	34,089 individuals	—	South Asian	—	G&H	—
PSS010372	—	—	1,789 individuals, 33.0 % Male samples	Mean = 52.4 years Sd = 7.8 years	East Asian	Chinese	UKB	—
PSS011114	—	—	1,448 individuals	—	South Asian	—	UKB	—
PSS011803	—	—	19,353 individuals	—	African American or Afro-Caribbean	—	AllofUs	—
PSS007860	—	—	2,450 individuals	—	African American or Afro-Caribbean	Carribean	UKB	—
PSS011259	—	—	66,700 individuals	—	European	—	HUNT	—
PSS011813	—	—	13,065 individuals	—	Hispanic or Latin American	—	AllofUs	—
PSS011296	22,667 sibling pairs	—	45,334 individuals	—	European	—	UKB	—
PSS011422	—	—	4,527 individuals, 42.0 % Male samples	Mean = 51.82 years Sd = 8.06 years	African American or Afro-Caribbean	—	UKB	—
PSS011823	—	—	45,413 individuals	—	European	—	AllofUs	—