Chunk #86 — Methods — Notation and preliminaries

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Exploring the phenotypic consequences of tissue specific gene expression variation inferred from GWAS summary statistics.

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Also from the properties of linear regression we know that6\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${\mathrm{se}}^2\left( {\hat \gamma _g} \right) = {\mathrm{Var}}\left( {\hat \gamma _g} \right) = \frac{{\hat \sigma _{\it{\epsilon }}^2}}{{n\hat \sigma _g^2}} = \frac{{\hat \sigma _Y^2(1 - R_g^2)}}{{n\,\hat \sigma _g^2}}$$\end{document}se2γ^g=Varγ^g=σ^ϵ2nσ^g2=σ^Y2(1-Rg2)nσ^g2