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Author Title Type [ Year(Asc)]
Filters: Keyword is Genetic Predisposition to Disease  [Clear All Filters]
2024
Sargurupremraj M, Soumaré A, Bis JC, Surakka I, Jürgenson T, Joly P, Knol MJ, Wang R, Yang Q, Satizabal CL, et al. Genetic Complexities of Cerebral Small Vessel Disease, Blood Pressure, and Dementia. JAMA Netw Open. 2024 ;7(5):e2412824.
Hrytsenko Y, Shea B, Elgart M, Kurniansyah N, Lyons G, Morrison AC, Carson AP, Haring B, Mitchell BD, Psaty BM, et al. Machine learning models for predicting blood pressure phenotypes by combining multiple polygenic risk scores. Sci Rep. 2024 ;14(1):12436.
Rocheleau G, Clarke SL, Auguste G, Hasbani NR, Morrison AC, Heath AS, Bielak LF, Iyer KR, Young EP, Stitziel NO, et al. Rare variant contribution to the heritability of coronary artery disease. Nat Commun. 2024 ;15(1):8741.
Tan MCB, Isom CA, Liu Y, Trégouët D-A, Wu L, Zhou D, Gamazon ER. Transcriptome-wide association study and Mendelian randomization in pancreatic cancer identifies susceptibility genes and causal relationships with type 2 diabetes and venous thromboembolism. EBioMedicine. 2024 ;106:105233.
Scholz M, Horn K, Pott J, Wuttke M, Kühnapfel A, M Nasr K, Kirsten H, Li Y, Hoppmann A, Gorski M, et al. X-chromosome and kidney function: evidence from a multi-trait genetic analysis of 908,697 individuals reveals sex-specific and sex-differential findings in genes regulated by androgen response elements. Nat Commun. 2024 ;15(1):586.
2022
Thibord F, Klarin D, Brody JA, Chen M-H, Levin MG, Chasman DI, Goode EL, Hveem K, Teder-Laving M, Martinez-Perez A, et al. Cross-Ancestry Investigation of Venous Thromboembolism Genomic Predictors. Circulation. 2022 ;146(16):1225-1242.
Tcheandjieu C, Zhu X, Hilliard AT, Clarke SL, Napolioni V, Ma S, Lee KMin, Fang H, Chen F, Lu Y, et al. Large-scale genome-wide association study of coronary artery disease in genetically diverse populations. Nat Med. 2022 ;28(8):1679-1692.
Mahajan A, Spracklen CN, Zhang W, C Y Ng M, Petty LE, Kitajima H, Yu GZ, Rüeger S, Speidel L, Kim YJin, et al. Multi-ancestry genetic study of type 2 diabetes highlights the power of diverse populations for discovery and translation. Nat Genet. 2022 ;54(5):560-572.
Kurniansyah N, Goodman MO, Kelly TN, Elfassy T, Wiggins KL, Bis JC, Guo X, Palmas W, Taylor KD, Lin HJ, et al. A multi-ethnic polygenic risk score is associated with hypertension prevalence and progression throughout adulthood. Nat Commun. 2022 ;13(1):3549.
Elgart M, Lyons G, Romero-Brufau S, Kurniansyah N, Brody JA, Guo X, Lin HJ, Raffield L, Gao Y, Chen H, et al. Non-linear machine learning models incorporating SNPs and PRS improve polygenic prediction in diverse human populations. Commun Biol. 2022 ;5(1):856.
Hindy G, Dornbos P, Chaffin MD, Liu DJ, Wang M, Selvaraj MSunitha, Zhang D, Park J, Aguilar-Salinas CA, Antonacci-Fulton L, et al. Rare coding variants in 35 genes associate with circulating lipid levels-A multi-ancestry analysis of 170,000 exomes. Am J Hum Genet. 2022 ;109(1):81-96.

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