Chunk #114 — Methods — Comparison with SMR

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

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yes

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so that for large enough \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$Z_{{\mathrm{eQTL}}}^2$$\end{document}ZeQTL2 relative to \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$Z_{{\mathrm{GWAS}}}^2$$\end{document}ZGWAS2,15\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$T_{\mathrm{SMR}} \approx Z_{{\mathrm{GWAS}}}^2 = Z_{{\mathrm{top}}\,{\mathrm{eQTL}}\,{\mathrm{S}} - {\mathrm{PrediXcan}}}^2$$\end{document}TSMR≈ZGWAS2=ZtopeQTLS-PrediXcan2