PGS Publication/Study ID (PGP) | PGS Developed | PGS Evaluated | First Author | Title | Journal Name | Publication Date | Digital object identifier (doi) | PubMed ID (PMID) |
---|---|---|---|---|---|---|---|---|
PGP000495 | 0 | 2 | Bakshi A | Association of polygenic scores with chronic kidney disease phenotypes in a longitudinal study of older adults. | Kidney Int | 29/03/2023 | 10.1016/j.kint.2023.03.017 | 37001602 |
PGP000500 | 4 | 4 | Shrine N | Multi-ancestry genome-wide association analyses improve resolution of genes and pathways influencing lung function and chronic obstructive pulmonary disease risk. | Nat Genet | 13/03/2023 | 10.1038/s41588-023-01314-0 | 36914875 |
PGP000499 | 1 | 1 | Zhang Z | Genome-wide association analyses identified novel susceptibility loci for pulmonary embolism among Han Chinese population. | BMC Med | 19/04/2023 | 10.1186/s12916-023-02844-4 | 37076872 |
PGP000497 | 1 | 1 | Gibson MJ | Identifying the potential causal role of insomnia symptoms on 11,409 health-related outcomes: a phenome-wide Mendelian randomisation analysis in UK Biobank. | BMC Med | 03/04/2023 | 10.1186/s12916-023-02832-8 | 37013595 |
PGP000496 | 2 | 2 | Sofer T | Genome-wide association study of obstructive sleep apnoea in the Million Veteran Program uncovers genetic heterogeneity by sex. | EBioMedicine | 28/03/2023 | 10.1016/j.ebiom.2023.104536 | 36989840 |
PGP000494 | 0 | 6 | Ho PJ | Polygenic risk scores for the prediction of common cancers in East Asians: A population-based prospective cohort study. | Elife | 27/03/2023 | 10.7554/elife.82608 | 36971353 |
PGP000493 | 4 | 4 | Li J | Age and Genetic Risk Score and Rates of Blood Lipid Changes in China. | JAMA Netw Open | 01/03/2023 | 10.1001/jamanetworkopen.2023.5565 | 36988954 |
PGP000492 | 1 | 3 | Thomas M T | Combining Asian-European Genome-Wide Association Studies of Colorectal Cancer Improves Risk Prediction Across Race and Ethnicity. | medRxivPre | 19/01/2023 | 10.1101/2023.01.19.23284737 | — |
PGP000491 | 1 | 0 | Fernandez-Rozadilla C | Deciphering colorectal cancer genetics through multi-omic analysis of 100,204 cases and 154,587 controls of European and east Asian ancestries. | Nat Genet | 20/12/2022 | 10.1038/s41588-022-01222-9 | 36539618 |
PGP000490 | 1 | 1 | Hatoum AS | Multivariate genome-wide association meta-analysis of over 1 million subjects identifies loci underlying multiple substance use disorders. | Nat Ment Health | 22/03/2023 | 10.1038/s44220-023-00034-y | 37250466 |
PGP000489 | 82 | 82 | Zhang HZ | A new method for multi-ancestry polygenic prediction improves performance across diverse populations. | bioRxivPre | 17/08/2023 | 10.1101/2022.03.24.485519 | — |
PGP000498 | 1 | 1 | Clark R | A new polygenic score for refractive error improves detection of children at risk of high myopia but not the prediction of those at risk of myopic macular degeneration. | EBioMedicine | 11/04/2023 | 10.1016/j.ebiom.2023.104551 | 37055258 |
Polygenic Score ID & Name | PGS Publication ID (PGP) | Reported Trait | Mapped Trait(s) (Ontology) | Number of Variants | Ancestry distribution | Scoring File (FTP Link) |
---|---|---|---|---|---|---|
PGS003767 (HDL_EUR_CT) |
PGP000489 | Zhang HZ et al. bioRxiv (2023) |Pre |
High-density lipoprotein cholesterol | high density lipoprotein cholesterol measurement | 12,656 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003767/ScoringFiles/PGS003767.txt.gz | |
PGS003768 (HDL_EUR_LDpred2) |
PGP000489 | Zhang HZ et al. bioRxiv (2023) |Pre |
High-density lipoprotein cholesterol | high density lipoprotein cholesterol measurement | 1,489,018 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003768/ScoringFiles/PGS003768.txt.gz | |
PGS003769 (HDL_AFR_CT) |
PGP000489 | Zhang HZ et al. bioRxiv (2023) |Pre |
High-density lipoprotein cholesterol | high density lipoprotein cholesterol measurement | 198 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003769/ScoringFiles/PGS003769.txt.gz | |
PGS003770 (HDL_AFR_LDpred2) |
PGP000489 | Zhang HZ et al. bioRxiv (2023) |Pre |
High-density lipoprotein cholesterol | high density lipoprotein cholesterol measurement | 1,678,653 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003770/ScoringFiles/PGS003770.txt.gz | |
PGS003771 (HDL_AFR_weighted_LDpred2) |
PGP000489 | Zhang HZ et al. bioRxiv (2023) |Pre |
High-density lipoprotein cholesterol | high density lipoprotein cholesterol measurement | 1,678,653 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003771/ScoringFiles/PGS003771.txt.gz | |
PGS003772 (HDL_AFR_PRSCSx) |
PGP000489 | Zhang HZ et al. bioRxiv (2023) |Pre |
High-density lipoprotein cholesterol | high density lipoprotein cholesterol measurement | 1,155,488 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003772/ScoringFiles/PGS003772.txt.gz | |
PGS003773 (HDL_AFR_CTSLEB) |
PGP000489 | Zhang HZ et al. bioRxiv (2023) |Pre |
High-density lipoprotein cholesterol | high density lipoprotein cholesterol measurement | 1,102,319 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003773/ScoringFiles/PGS003773.txt.gz | |
PGS003774 (HDL_EAS_CT) |
PGP000489 | Zhang HZ et al. bioRxiv (2023) |Pre |
High-density lipoprotein cholesterol | high density lipoprotein cholesterol measurement | 117 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003774/ScoringFiles/PGS003774.txt.gz | |
PGS003775 (HDL_EAS_LDpred2) |
PGP000489 | Zhang HZ et al. bioRxiv (2023) |Pre |
High-density lipoprotein cholesterol | high density lipoprotein cholesterol measurement | 844,599 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003775/ScoringFiles/PGS003775.txt.gz | |
PGS003776 (HDL_EAS_weighted_LDpred2) |
PGP000489 | Zhang HZ et al. bioRxiv (2023) |Pre |
High-density lipoprotein cholesterol | high density lipoprotein cholesterol measurement | 844,599 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003776/ScoringFiles/PGS003776.txt.gz | |
PGS003777 (HDL_EAS_PRSCSx) |
PGP000489 | Zhang HZ et al. bioRxiv (2023) |Pre |
High-density lipoprotein cholesterol | high density lipoprotein cholesterol measurement | 1,155,488 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003777/ScoringFiles/PGS003777.txt.gz | |
PGS003778 (HDL_EAS_CTSLEB) |
PGP000489 | Zhang HZ et al. bioRxiv (2023) |Pre |
High-density lipoprotein cholesterol | high density lipoprotein cholesterol measurement | 449,110 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003778/ScoringFiles/PGS003778.txt.gz | |
PGS003779 (HDL_SAS_CT) |
PGP000489 | Zhang HZ et al. bioRxiv (2023) |Pre |
High-density lipoprotein cholesterol | high density lipoprotein cholesterol measurement | 71 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003779/ScoringFiles/PGS003779.txt.gz | |
PGS003780 (HDL_SAS_LDpred2) |
PGP000489 | Zhang HZ et al. bioRxiv (2023) |Pre |
High-density lipoprotein cholesterol | high density lipoprotein cholesterol measurement | 1,473,121 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003780/ScoringFiles/PGS003780.txt.gz | |
PGS003781 (HDL_SAS_weighted_LDpred2) |
PGP000489 | Zhang HZ et al. bioRxiv (2023) |Pre |
High-density lipoprotein cholesterol | high density lipoprotein cholesterol measurement | 1,473,121 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003781/ScoringFiles/PGS003781.txt.gz | |
PGS003782 (HDL_SAS_PRSCSx) |
PGP000489 | Zhang HZ et al. bioRxiv (2023) |Pre |
High-density lipoprotein cholesterol | high density lipoprotein cholesterol measurement | 1,155,488 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003782/ScoringFiles/PGS003782.txt.gz | |
PGS003783 (HDL_SAS_CTSLEB) |
PGP000489 | Zhang HZ et al. bioRxiv (2023) |Pre |
High-density lipoprotein cholesterol | high density lipoprotein cholesterol measurement | 771,693 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003783/ScoringFiles/PGS003783.txt.gz | |
PGS003784 (LDL_EUR_CT) |
PGP000489 | Zhang HZ et al. bioRxiv (2023) |Pre |
Low-density lipoprotein cholesterol | low density lipoprotein cholesterol measurement | 3,754 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003784/ScoringFiles/PGS003784.txt.gz | |
PGS003785 (LDL_EUR_LDpred2) |
PGP000489 | Zhang HZ et al. bioRxiv (2023) |Pre |
Low-density lipoprotein cholesterol | low density lipoprotein cholesterol measurement | 1,490,736 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003785/ScoringFiles/PGS003785.txt.gz | |
PGS003786 (LDL_AFR_CT) |
PGP000489 | Zhang HZ et al. bioRxiv (2023) |Pre |
Low-density lipoprotein cholesterol | low density lipoprotein cholesterol measurement | 188 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003786/ScoringFiles/PGS003786.txt.gz | |
PGS003787 (LDL_AFR_LDpred2) |
PGP000489 | Zhang HZ et al. bioRxiv (2023) |Pre |
Low-density lipoprotein cholesterol | low density lipoprotein cholesterol measurement | 1,679,610 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003787/ScoringFiles/PGS003787.txt.gz | |
PGS003788 (LDL_AFR_weighted_LDpred2) |
PGP000489 | Zhang HZ et al. bioRxiv (2023) |Pre |
Low-density lipoprotein cholesterol | low density lipoprotein cholesterol measurement | 1,679,610 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003788/ScoringFiles/PGS003788.txt.gz | |
PGS003789 (LDL_AFR_PRSCSx) |
PGP000489 | Zhang HZ et al. bioRxiv (2023) |Pre |
Low-density lipoprotein cholesterol | low density lipoprotein cholesterol measurement | 1,155,363 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003789/ScoringFiles/PGS003789.txt.gz | |
PGS003790 (LDL_AFR_CTSLEB) |
PGP000489 | Zhang HZ et al. bioRxiv (2023) |Pre |
Low-density lipoprotein cholesterol | low density lipoprotein cholesterol measurement | 1,120,053 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003790/ScoringFiles/PGS003790.txt.gz | |
PGS003791 (LDL_EAS_CT) |
PGP000489 | Zhang HZ et al. bioRxiv (2023) |Pre |
Low-density lipoprotein cholesterol | low density lipoprotein cholesterol measurement | 80 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003791/ScoringFiles/PGS003791.txt.gz | |
PGS003792 (LDL_EAS_LDpred2) |
PGP000489 | Zhang HZ et al. bioRxiv (2023) |Pre |
Low-density lipoprotein cholesterol | low density lipoprotein cholesterol measurement | 1,191,112 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003792/ScoringFiles/PGS003792.txt.gz | |
PGS003793 (LDL_EAS_weighted_LDpred2) |
PGP000489 | Zhang HZ et al. bioRxiv (2023) |Pre |
Low-density lipoprotein cholesterol | low density lipoprotein cholesterol measurement | 1,191,112 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003793/ScoringFiles/PGS003793.txt.gz | |
PGS003794 (LDL_EAS_PRSCSx) |
PGP000489 | Zhang HZ et al. bioRxiv (2023) |Pre |
Low-density lipoprotein cholesterol | low density lipoprotein cholesterol measurement | 1,155,363 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003794/ScoringFiles/PGS003794.txt.gz | |
PGS003795 (LDL_EAS_CTSLEB) |
PGP000489 | Zhang HZ et al. bioRxiv (2023) |Pre |
Low-density lipoprotein cholesterol | low density lipoprotein cholesterol measurement | 564,379 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003795/ScoringFiles/PGS003795.txt.gz | |
PGS003796 (LDL_SAS_CT) |
PGP000489 | Zhang HZ et al. bioRxiv (2023) |Pre |
Low-density lipoprotein cholesterol | low density lipoprotein cholesterol measurement | 25 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003796/ScoringFiles/PGS003796.txt.gz | |
PGS003797 (LDL_SAS_LDpred2) |
PGP000489 | Zhang HZ et al. bioRxiv (2023) |Pre |
Low-density lipoprotein cholesterol | low density lipoprotein cholesterol measurement | 1,507,815 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003797/ScoringFiles/PGS003797.txt.gz | |
PGS003798 (LDL_SAS_weighted_LDpred2) |
PGP000489 | Zhang HZ et al. bioRxiv (2023) |Pre |
Low-density lipoprotein cholesterol | low density lipoprotein cholesterol measurement | 1,507,815 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003798/ScoringFiles/PGS003798.txt.gz | |
PGS003799 (LDL_SAS_PRSCSx) |
PGP000489 | Zhang HZ et al. bioRxiv (2023) |Pre |
Low-density lipoprotein cholesterol | low density lipoprotein cholesterol measurement | 1,155,363 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003799/ScoringFiles/PGS003799.txt.gz | |
PGS003800 (LDL_SAS_CTSLEB) |
PGP000489 | Zhang HZ et al. bioRxiv (2023) |Pre |
Low-density lipoprotein cholesterol | low density lipoprotein cholesterol measurement | 801,576 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003800/ScoringFiles/PGS003800.txt.gz | |
PGS003801 (logTG_EUR_CT) |
PGP000489 | Zhang HZ et al. bioRxiv (2023) |Pre |
Log triglycerides | triglyceride measurement | 33,687 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003801/ScoringFiles/PGS003801.txt.gz | |
PGS003802 (logTG_EUR_LDpred2) |
PGP000489 | Zhang HZ et al. bioRxiv (2023) |Pre |
Log triglycerides | triglyceride measurement | 1,492,288 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003802/ScoringFiles/PGS003802.txt.gz | |
PGS003803 (logTG_AFR_CT) |
PGP000489 | Zhang HZ et al. bioRxiv (2023) |Pre |
Log triglycerides | triglyceride measurement | 116 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003803/ScoringFiles/PGS003803.txt.gz | |
PGS003804 (logTG_AFR_LDpred2) |
PGP000489 | Zhang HZ et al. bioRxiv (2023) |Pre |
Log triglycerides | triglyceride measurement | 1,678,784 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003804/ScoringFiles/PGS003804.txt.gz | |
PGS003805 (logTG_AFR_weighted_LDpred2) |
PGP000489 | Zhang HZ et al. bioRxiv (2023) |Pre |
Log triglycerides | triglyceride measurement | 1,678,784 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003805/ScoringFiles/PGS003805.txt.gz | |
PGS003806 (logTG_AFR_PRSCSx) |
PGP000489 | Zhang HZ et al. bioRxiv (2023) |Pre |
Log triglycerides | triglyceride measurement | 1,155,382 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003806/ScoringFiles/PGS003806.txt.gz | |
PGS003807 (logTG_AFR_CTSLEB) |
PGP000489 | Zhang HZ et al. bioRxiv (2023) |Pre |
Log triglycerides | triglyceride measurement | 1,106,476 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003807/ScoringFiles/PGS003807.txt.gz | |
PGS003808 (logTG_EAS_CT) |
PGP000489 | Zhang HZ et al. bioRxiv (2023) |Pre |
Log triglycerides | triglyceride measurement | 109 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003808/ScoringFiles/PGS003808.txt.gz | |
PGS003809 (logTG_EAS_LDpred2) |
PGP000489 | Zhang HZ et al. bioRxiv (2023) |Pre |
Log triglycerides | triglyceride measurement | 1,189,464 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003809/ScoringFiles/PGS003809.txt.gz | |
PGS003810 (logTG_EAS_weighted_LDpred2) |
PGP000489 | Zhang HZ et al. bioRxiv (2023) |Pre |
Log triglycerides | triglyceride measurement | 1,189,464 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003810/ScoringFiles/PGS003810.txt.gz | |
PGS003811 (logTG_EAS_PRSCSx) |
PGP000489 | Zhang HZ et al. bioRxiv (2023) |Pre |
Log triglycerides | triglyceride measurement | 1,155,382 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003811/ScoringFiles/PGS003811.txt.gz | |
PGS003812 (logTG_EAS_CTSLEB) |
PGP000489 | Zhang HZ et al. bioRxiv (2023) |Pre |
Log triglycerides | triglyceride measurement | 563,207 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003812/ScoringFiles/PGS003812.txt.gz | |
PGS003813 (logTG_SAS_CT) |
PGP000489 | Zhang HZ et al. bioRxiv (2023) |Pre |
Log triglycerides | triglyceride measurement | 40 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003813/ScoringFiles/PGS003813.txt.gz | |
PGS003814 (logTG_SAS_LDpred2) |
PGP000489 | Zhang HZ et al. bioRxiv (2023) |Pre |
Log triglycerides | triglyceride measurement | 1,507,338 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003814/ScoringFiles/PGS003814.txt.gz | |
PGS003815 (logTG_SAS_weighted_LDpred2) |
PGP000489 | Zhang HZ et al. bioRxiv (2023) |Pre |
Log triglycerides | triglyceride measurement | 1,507,338 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003815/ScoringFiles/PGS003815.txt.gz | |
PGS003816 (logTG_SAS_PRSCSx) |
PGP000489 | Zhang HZ et al. bioRxiv (2023) |Pre |
Log triglycerides | triglyceride measurement | 1,155,382 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003816/ScoringFiles/PGS003816.txt.gz | |
PGS003817 (logTG_SAS_CTSLEB) |
PGP000489 | Zhang HZ et al. bioRxiv (2023) |Pre |
Log triglycerides | triglyceride measurement | 798,330 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003817/ScoringFiles/PGS003817.txt.gz | |
PGS003818 (TC_EUR_CT) |
PGP000489 | Zhang HZ et al. bioRxiv (2023) |Pre |
Total cholesterol | total cholesterol measurement | 4,691 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003818/ScoringFiles/PGS003818.txt.gz | |
PGS003819 (TC_EUR_LDpred2) |
PGP000489 | Zhang HZ et al. bioRxiv (2023) |Pre |
Total cholesterol | total cholesterol measurement | 1,490,151 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003819/ScoringFiles/PGS003819.txt.gz | |
PGS003820 (TC_AFR_CT) |
PGP000489 | Zhang HZ et al. bioRxiv (2023) |Pre |
Total cholesterol | total cholesterol measurement | 218 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003820/ScoringFiles/PGS003820.txt.gz | |
PGS003821 (TC_AFR_LDpred2) |
PGP000489 | Zhang HZ et al. bioRxiv (2023) |Pre |
Total cholesterol | total cholesterol measurement | 1,687,775 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003821/ScoringFiles/PGS003821.txt.gz | |
PGS003822 (TC_AFR_weighted_LDpred2) |
PGP000489 | Zhang HZ et al. bioRxiv (2023) |Pre |
Total cholesterol | total cholesterol measurement | 1,687,775 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003822/ScoringFiles/PGS003822.txt.gz | |
PGS003823 (TC_AFR_PRSCSx) |
PGP000489 | Zhang HZ et al. bioRxiv (2023) |Pre |
Total cholesterol | total cholesterol measurement | 1,155,228 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003823/ScoringFiles/PGS003823.txt.gz | |
PGS003824 (TC_AFR_CTSLEB) |
PGP000489 | Zhang HZ et al. bioRxiv (2023) |Pre |
Total cholesterol | total cholesterol measurement | 1,122,865 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003824/ScoringFiles/PGS003824.txt.gz | |
PGS003825 (TC_EAS_CT) |
PGP000489 | Zhang HZ et al. bioRxiv (2023) |Pre |
Total cholesterol | total cholesterol measurement | 230 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003825/ScoringFiles/PGS003825.txt.gz | |
PGS003826 (TC_EAS_LDpred2) |
PGP000489 | Zhang HZ et al. bioRxiv (2023) |Pre |
Total cholesterol | total cholesterol measurement | 820,996 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003826/ScoringFiles/PGS003826.txt.gz | |
PGS003827 (TC_EAS_weighted_LDpred2) |
PGP000489 | Zhang HZ et al. bioRxiv (2023) |Pre |
Total cholesterol | total cholesterol measurement | 820,996 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003827/ScoringFiles/PGS003827.txt.gz | |
PGS003828 (TC_EAS_PRSCSx) |
PGP000489 | Zhang HZ et al. bioRxiv (2023) |Pre |
Total cholesterol | total cholesterol measurement | 1,155,228 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003828/ScoringFiles/PGS003828.txt.gz | |
PGS003829 (TC_EAS_CTSLEB) |
PGP000489 | Zhang HZ et al. bioRxiv (2023) |Pre |
Total cholesterol | total cholesterol measurement | 431,780 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003829/ScoringFiles/PGS003829.txt.gz | |
PGS003830 (TC_SAS_CT) |
PGP000489 | Zhang HZ et al. bioRxiv (2023) |Pre |
Total cholesterol | total cholesterol measurement | 32 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003830/ScoringFiles/PGS003830.txt.gz | |
PGS003831 (TC_SAS_LDpred2) |
PGP000489 | Zhang HZ et al. bioRxiv (2023) |Pre |
Total cholesterol | total cholesterol measurement | 1,468,958 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003831/ScoringFiles/PGS003831.txt.gz | |
PGS003832 (TC_SAS_weighted_LDpred2) |
PGP000489 | Zhang HZ et al. bioRxiv (2023) |Pre |
Total cholesterol | total cholesterol measurement | 1,468,958 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003832/ScoringFiles/PGS003832.txt.gz | |
PGS003833 (TC_SAS_PRSCSx) |
PGP000489 | Zhang HZ et al. bioRxiv (2023) |Pre |
Total cholesterol | total cholesterol measurement | 1,155,228 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003833/ScoringFiles/PGS003833.txt.gz | |
PGS003834 (TC_SAS_CTSLEB) |
PGP000489 | Zhang HZ et al. bioRxiv (2023) |Pre |
Total cholesterol | total cholesterol measurement | 770,490 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003834/ScoringFiles/PGS003834.txt.gz | |
PGS003835 (height_EUR_CT) |
PGP000489 | Zhang HZ et al. bioRxiv (2023) |Pre |
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 HZ et al. bioRxiv (2023) |Pre |
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 HZ et al. bioRxiv (2023) |Pre |
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 HZ et al. bioRxiv (2023) |Pre |
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 HZ et al. bioRxiv (2023) |Pre |
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 HZ et al. bioRxiv (2023) |Pre |
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 HZ et al. bioRxiv (2023) |Pre |
Height | body height | 741,637 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003841/ScoringFiles/PGS003841.txt.gz | |
PGS003842 (bmi_EUR_CT) |
PGP000489 | Zhang HZ et al. bioRxiv (2023) |Pre |
Body mass index | body mass index | 145,046 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003842/ScoringFiles/PGS003842.txt.gz | |
PGS003843 (bmi_EUR_LDpred2) |
PGP000489 | Zhang HZ et al. bioRxiv (2023) |Pre |
Body mass index | body mass index | 564,332 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003843/ScoringFiles/PGS003843.txt.gz | |
PGS003844 (bmi_AFR_CT) |
PGP000489 | Zhang HZ et al. bioRxiv (2023) |Pre |
Body mass index | body mass index | 87 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003844/ScoringFiles/PGS003844.txt.gz | |
PGS003845 (bmi_AFR_LDpred2) |
PGP000489 | Zhang HZ et al. bioRxiv (2023) |Pre |
Body mass index | body mass index | 752,209 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003845/ScoringFiles/PGS003845.txt.gz | |
PGS003846 (bmi_AFR_weighted_LDpred2) |
PGP000489 | Zhang HZ et al. bioRxiv (2023) |Pre |
Body mass index | body mass index | 817,189 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003846/ScoringFiles/PGS003846.txt.gz | |
PGS003847 (bmi_AFR_PRSCSx) |
PGP000489 | Zhang HZ et al. bioRxiv (2023) |Pre |
Body mass index | body mass index | 300,864 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003847/ScoringFiles/PGS003847.txt.gz | |
PGS003848 (bmi_AFR_CTSLEB) |
PGP000489 | Zhang HZ et al. bioRxiv (2023) |Pre |
Body mass index | body mass index | 741,723 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003848/ScoringFiles/PGS003848.txt.gz | |
PGS003849 (PRSaddiction-rf) |
PGP000490 | Hatoum AS et al. Nat Ment Health (2023) |
Addiction risk factors | substance-related disorder | 584,753 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003849/ScoringFiles/PGS003849.txt.gz |
PGS003850 (CRC_PRS_200loci) |
PGP000491 | Fernandez-Rozadilla C et al. Nat Genet (2022) |
Colorectal cancer | colorectal cancer | 205 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003850/ScoringFiles/PGS003850.txt.gz |
PGS003851 (CRC_PRS_EUR) |
PGP000294 | Thomas M et al. Am J Hum Genet (2020) |
Colorectal cancer | colorectal cancer | 1,180,765 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003851/ScoringFiles/PGS003851.txt.gz |
PGS003852 (CRC_PRS_EUR_EAS) |
PGP000492 | Thomas M T et al. medRxiv (2023) |Pre |
Colorectal cancer | colorectal cancer | 1,016,596 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003852/ScoringFiles/PGS003852.txt.gz |
PGS003853 (PRS60_TC) |
PGP000493 | Li J et al. JAMA Netw Open (2023) |
Total cholesterol | total cholesterol measurement | 60 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003853/ScoringFiles/PGS003853.txt.gz |
PGS003854 (PRS40_TG) |
PGP000493 | Li J et al. JAMA Netw Open (2023) |
Triglycerides | triglyceride measurement | 40 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003854/ScoringFiles/PGS003854.txt.gz |
PGS003855 (PRS44_LDL) |
PGP000493 | Li J et al. JAMA Netw Open (2023) |
LDL cholesterol | low density lipoprotein cholesterol measurement | 44 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003855/ScoringFiles/PGS003855.txt.gz |
PGS003856 (PRS59_HDL) |
PGP000493 | Li J et al. JAMA Netw Open (2023) |
HDL cholesterol | high density lipoprotein cholesterol measurement | 59 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003856/ScoringFiles/PGS003856.txt.gz |
PGS003857 (GRS18_BMIunadj) |
PGP000496 | Sofer T et al. EBioMedicine (2023) |
Obstructive sleep apnea | obstructive sleep apnea | 18 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003857/ScoringFiles/PGS003857.txt.gz |
PGS003858 (GRS6_BMIadj) |
PGP000496 | Sofer T et al. EBioMedicine (2023) |
Obstructive sleep apnea (BMI adjusted) | obstructive sleep apnea | 6 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003858/ScoringFiles/PGS003858.txt.gz |
PGS003859 (GRS129_insomnia) |
PGP000497 | Gibson MJ et al. BMC Med (2023) |
Insomnia | insomnia measurement | 129 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003859/ScoringFiles/PGS003859.txt.gz |
PGS003860 (PGS_RE) |
PGP000498 | Clark R et al. EBioMedicine (2023) |
Refractive error | refractive error measurement | 767,867 | https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003860/ScoringFiles/PGS003860.txt.gz | |
PGS003861 (PRS288_PE) |
PGP000499 | Zhang Z et al. BMC Med (2023) |
Pulmonary embolism | pulmonary embolism | 288 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003861/ScoringFiles/PGS003861.txt.gz |
PGS003862 (multiancestry_LF_GRS_FF_weights_EUR) |
PGP000500 | Shrine N et al. Nat Genet (2023) |
Lung function (FEV1/FVC) | FEV/FEC ratio | 442 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003862/ScoringFiles/PGS003862.txt.gz |
PGS003863 (multiancestry_LF_GRS_FF_weights_AFR) |
PGP000500 | Shrine N et al. Nat Genet (2023) |
Lung function (FEV1/FVC) | FEV/FEC ratio | 437 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003863/ScoringFiles/PGS003863.txt.gz |
PGS003864 (multiancestry_LF_GRS_FF_weights_AMR) |
PGP000500 | Shrine N et al. Nat Genet (2023) |
Lung function (FEV1/FVC) | FEV/FEC ratio | 434 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003864/ScoringFiles/PGS003864.txt.gz |
PGS003865 (multiancestry_LF_GRS_FF_weights_EAS) |
PGP000500 | Shrine N et al. Nat Genet (2023) |
Lung function (FEV1/FVC) | FEV/FEC ratio | 406 | - |
https://ftp.ebi.ac.uk/pub/databases/spot/pgs/scores/PGS003865/ScoringFiles/PGS003865.txt.gz |