Chunk #103 — Methods — Comparison with TWAS

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

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\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${\mathrm{\Sigma }}_g = {\mathrm{diag}}\left( {\frac{1}{{\hat \sigma _1}}, \ldots ,\frac{1}{{\hat \sigma _p}}} \right) \cdot {\mathrm{\Gamma }}_g \cdot {\mathrm{diag}}\left( {\frac{1}{{\hat \sigma _1}}, \ldots ,\frac{1}{{\hat \sigma _p}}} \right)$$\end{document}Σg=diag1σ^1,…,1σ^p⋅Γg⋅diag1σ^1,…,1σ^p