Chunk #58 — Methods — Meta-analysis of cis-eQTL data from correlated samples

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Identifying gene targets for brain-related traits using transcriptomic and methylomic data from blood.

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meta-analysis methods that account for correlated estimation errors39,40,63, we can estimate combined effect as8\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\hat b = \left( {{\bf 1}^T{\hat{\mathbf S}}^{ - 1}{\bf 1}} \right)^{ - 1}{\bf 1}^T{\hat{\mathbf S}}^{ - 1}{\hat{\mathbf b}}$$\end{document}b^=1TS^-11-11TS^-1b^9\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\hat V\left( {\hat b} \right) = \frac{1}{{{\bf 1}^T{\hat{\mathbf S}}^{ - 1}{\bf 1}}}$$\end{document}V^b^=11TS^-11