Shulou(Shulou.com)06/01 Report--

This article mainly introduces the relevant knowledge of "GWAS cFDR multi-effect gene case analysis". The editor shows you the operation process through the actual case, and the operation method is simple, fast and practical. I hope this article "GWAS cFDR multi-effect gene case analysis" can help you solve the problem.

GWAS cFDR analysis

Library (dplyr) library (ggplot2) library (RColorBrewer) # library (GWAScFDR) # library (condFDR) library (cfdr) mycol=c (brewer.pal (7, "Set2"), rev (brewer.pal (8, "Set1"), brewer.pal (8, "Set3"), brewer.pal (12, "Paired"), brewer.pal (8, "Dark2"), brewer.pal (7, "Accent") stratifiedQQplot = function Xlab=_expression (nominal-log [10] ~ (Q [broadcast]), ylab=_expression (empirical-log [10] ~ (p [hosted]) T = "Stratified Qmurq Plot") {library (ggplot2) # p1 = p1 [p1qqo0] # p2 = p2 [p2furo0] dat = NULL for (cutoff in c (1jue 0.1)) {p = p1 [p2

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