The sampling variance of \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\hat r_b$$\end{document}r^b over repeated experiments can be computed via Jackknife approach leaving one gene out at a time.4\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${\hat{\mathrm V}}\left( {\hat r_b} \right)_{{\mathrm{Jackknife}}} = \frac{{m - 1}}{m}\mathop {\sum }\limits_t \left[ {\hat r_{b( - t)} - \hat r_{b(.)}} \right]^2$$\end{document}V^r^bJackknife=m-1m∑tr^b(-t)-r^b(.)2where \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\hat r_{b( - t)}$$\end{document}r^b(-t) is the estimate with the t-th gene left out and \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\hat r_{b(.)} = \frac{1}{m}\mathop {\sum }\limits_t \hat r_{b( - t)}$$\end{document}r^b(.)=1m ∑tr^b(-t). The method is derived based on eQTL data but can be applied to data from genetic studies of different types of molecular phenotypes (e.g., DNAm and histone modification).
