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Non-linear machine learning models incorporating SNPs and PRS improve polygenic prediction in diverse human populations

By sjmartinez • August 22, 2022

Elgart M, Lyons G, Romero-Brufau S, Kurniansyah N, Brody JA, Guo X, Lin HJ, Raffield L, Gao Y, Chen H, de Vries P, Lloyd-Jones DM, Lange LA, Peloso GM, Fornage M, Rotter JI, Rich SS, Morrison AC, Psaty BM, Levy D, Redline S; NHLBI’s Trans-Omics in Precision Medicine (TOPMed) Consortium, Sofer T. Non-linear machine learning models incorporating SNPs and PRS improve polygenic prediction in diverse human populations. Commun Biol. 2022 Aug 22;5(1):856. doi: 10.1038/s42003-022-03812-z. PMID: 35995843; PMCID: PMC9395509.

Tags: Harbor UCLA, Med Peds, Publications

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