View source: R/FLASHFMwithFINEMAP.R
FLASHFMwithFINEMAP | R Documentation |
Wrapper to run single-trait fine-mapping with FINEMAP on each trait, followed by flashfm and then constuct SNP groups for each approach and summarises results
FLASHFMwithFINEMAP( gwas.list, corX, raf, ybar, N, fstub, TOdds = 1, covY, cpp = 0.99, NCORES, FMpath )
gwas.list |
a list containing a data.frame for each trait; each data.frame has columns "rsid", "chromosome", "position", "allele1", "allele2", "maf", "beta", "se"; this is the same as z file of FINEMAP |
corX |
genotype correlation matrix (reference or from sample); needs SNP column and row names OR if no names, it takes the names for the raf vector. The SNPs in corX MUST be in the same order as the SNPs in the raf vector. |
raf |
named vector of reference allele frequencies; the name of each allele frequency is the SNP ID and MUST be in same SNP order as in corX |
ybar |
vector of trait means; if traits are transformed to be standard Normal, could set ybar as 0-vector |
N |
vector of sample sizes for each trait; recommended to give effective sample sizes using GWAS summary statistics in Neff function |
fstub |
file stub for input/output files of FINEMAP, e.g. if fstub="DIRresults/region1", FINEMAP files of the form "DIRresults/region1.z" will be created |
TOdds |
target odds of no sharing to sharing; default is 1 |
covY |
trait covariance matrix (for at most 5 traits and all traits should have a signal in the region, e.g. min p < 1E-6) |
cpp |
cumulative posterior probability threshold for selecting top models; default cpp=0.99 |
NCORES |
number of cores for parallel computing; recommend NCORES=M, but if on Windows, use NCORES=1 |
FMpath |
file pathway to FINEMAP software e.g. "/software/finemap_v1.4_x86_64/finemap_v1.4_x86_64" |
list with 2 components: mpp.pp, a list with 4 components giving the SNP-level results (mpp.pp$PP,mpp.pp$MPP) and SNP group level results (mpp.pp$MPPg, mpp.pp$PPg); and snpGroups, a list with 2 components giving the SNP groups construced under single-trait (snpGroups[[1]]) and multi-trait fine-mapping (snpGroups[[2]])
Jenn Asimit
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