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Article

Genomic Prediction of Complex Disease Risk

2018-12-27

Abstract excerpt

We construct risk predictors using polygenic scores (PGS) computed from common Single Nucleotide Polymorphisms (SNPs) for a number of complex disease conditions, using L1-penalized regression (also known as LASSO) on case-control data from UK Biobank. Among the disease conditions studied are Hypothyroidism, (Resistant) Hypertension, Type 1 and 2 Diabetes, Breast Cancer, Prostate Cancer, Testicular Cancer, Gallston...

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Literature Corpus work
2deca7b7-bcbd-5566-a1b1-0fed9af0620f
DOI
10.1101/506600
Open publication

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Genomic Prediction of Complex Disease RiskDOI 10.1101/506600
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