Created
April 21, 2022 20:22
-
-
Save Zepeng-Mu/2dd7bc093566a07bf9523acbb8400df4 to your computer and use it in GitHub Desktop.
Getting non-overlapping loci from GWAS for colocalization analysis
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
disjoinGr <- function(df, chr = "CHR", bp = "BP", pval = "Pval", snp = "SNP", size = 5e5) { | |
inGr <- GRanges(df[[chr]], IRanges(df[[bp]] - size, df[[bp]] + size - 1), | |
SNPID = df[[snp]], BP = df[[bp]], Pval = df[[pval]]) | |
disjointGr <- disjoin(inGr) | |
ov <- findOverlaps(resize(inGr, 1, "center"), disjointGr) | |
hitGr <- disjointGr[subjectHits(ov)] | |
ovGr <- setdiff(disjointGr, hitGr) | |
firstHalf <- resize(ovGr, width(ovGr) / 2 - 1, "start") | |
secondHalf <- resize(ovGr, width(ovGr) / 2, "end") | |
cmbGr <- c(hitGr, firstHalf, secondHalf) | |
cmbGr <- reduce(cmbGr) | |
ov1 <- findOverlaps(resize(inGr, 1, "center"), cmbGr) | |
inGr <- inGr[queryHits(ov1)] | |
outGr <- cmbGr[subjectHits(ov1)] | |
start(inGr) <- start(outGr) | |
end(inGr) <- end(outGr) | |
outDf <- as.data.frame(inGr) %>% | |
dplyr::rename(CHR = seqnames) %>% | |
mutate(start = ifelse(start > 0, start, 0)) | |
return(outDf) | |
} |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment