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Chunk #47 — Methods — LDpred and LDpred-inf

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Polygenic prediction via Bayesian regression and continuous shrinkage priors.
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of \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$h_{g}^{2}$$\end{document}hg2, which can be obtained, for example, by applying LD score regression23 to the GWAS summary statistics, LDpred employs an MCMC sampler to approximate the posterior mean of βj, conditioning on marginal least squares effect size estimates and LD information from a reference panel. In this paper, we consider π ∈ {1E−5, 3E−5, 1E−4, 3E−4, 0.001, 0.003, 0.01, 0.03, 0.1, 0.3, 1}. The π value with the highest prediction accuracy in a validation data set is selected, and the predictive performance is assessed in an independent testing set.