We used chromatin state data from 23 blood samples (T-cell, B-cell, and hematopoietic stem cells) and 10 brain samples generated by the NIH Roadmap Epigenomics Mapping Consortium (REMC)31. There were 25 chromatin states predicted by ChromHMM61 based on the imputed data of 12 histone-modification marks31. We classified the 25 chromatin states into 14 main functional categories by combining functionally relevant annotations62. We tested the difference in eQTL effect for a gene between two tissues (i and j) using the method below. Let 5\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\hat d = \hat b_i - \hat b_j$$\end{document}d^=b^i-b^j
