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piccolo

This code enables users to get PICS credible sets for nearly any index SNP with a pvalue. Users can then test if two genetic signals colocalize in a Bayesian framework.


Example workflow:

library("piccolo")
gwas_credSet <- pics.download(rsid="rs123", pvalue=-log10(1.23E-45))
eQTL_credSet <- pics.read("/full/path/to/pics.txt")
myColoc      <- pics.coloc(gwas_credSet, eQTL_credSet)

See the pinned issue for a pptx showing further illustrating an example. Also available here


pics.coloc:

Test for colocalization of two PICS credible sets

Example: myColoc <- pics.coloc(gwas_credSet, eQTL_credSet)

Options

Options Value Default
data1, data2 PICS sets from pics.read or pics.download NA
pics1, pics2 column name to pull PICS prob from. "PICS_probability"
rsid1, rsid2 column name to pull rsid from. "Linked_SNP"
rounded [#] Decimal points to round posteriors to.
priorc1 Prior probability for a siganl in data1 1e-4
priorc2 Prior probability for a siganl in data2 1e-4
priorc12 Prior probability for colocalization of both signals. 1e-5

Note:

  • Returns full coloc object.
  • Users only need to specify the column names through pics[1|2] & rsid[1|2] if they are using credible sets that are not from pics.download().
  • For "lighter" dataframe returing only H3 & H4 posteriors, use pics.coloc.lite()
  • Adapted from Toby Johnson's code, which was adapted from Giambartolomei et al. 2014 colocalisation method

pics.coloc.lite:

Test for colocalization of two PICS credible sets

Example: myColoc <- pics.coloc.lite(gwas_credSet, eQTL_credSet)

Options: Same as pics.coloc()

Note:

  • Returns a "lighter" dataframe with only H3 & H4 posteriors

pics.download:

Query the PICs website and get a PICs credible set for a SNP of interest

Example: myCredSet <- pics.download(rsid="rs6795744", pvalue = "1.23e-20")

Options:

Options Value Default
rsid SNP rsID Example: "rs1234"
pvalue pvalue or -log10(pvalue). Examples: -log10(1.23E-45) or 45
ancestry [EUR, ASN, AFR] "EUR"
output Full path and name for the download to be saved. held in memory

Note:

  • Returns a dataframe with default colnames as pic[1|2]="PICS_probability" & rsid[1|2]="Linked_SNP" that pics.coloc anticipates as default.
  • For pics.download() to work behind a proxy use this code in an R session in your ~/.Renviron.
options(RCurlOptions = list(proxy="proxy.URL:PORT", proxyuserpwd="ID:PW"))

pics.read:

Load a PICs file that was either download from the website (copy+paste to a text file) or a saved output from pics.download(output=X)

Example: myCredSet <- pics.read("/full/path/to/PICs_credSet.txt")


Known Bugs:

  • If the rsID is not in the imputation used by PICs (1KGp1) then it returns the input rsID as the 1 causal SNP. This is almost certainly an erroneous credible set. This will also occur with rsIDs that do not exist. By default, pics.download() return NA.

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