metagwa.tables: Pairwise meta-analysis of results from GWA scans

metagwa.tablesR Documentation

Pairwise meta-analysis of results from GWA scans

Description

Performes meta-analysis of results of two individual GWA studies

Usage

metagwa.tables(data.x, data.y, name.x = "P1", name.y = "P2",
  precorrect = TRUE, correct.pooled = FALSE)

Arguments

data.x

First data frame with GWA data

data.y

Second data frame with GWA data

name.x

First study name

name.y

Second study name

precorrect

Should GC be applied to the original data before pooling

correct.pooled

Whether to apply Genomic Control correction to the study named "POOLED"

Details

Original data frames should contain a number of variables, such as allelic coding, code for the effective allele, etc. Please refer to the formetascore function of the GenABEL package for details.

Value

A data frame containing summary statistics and essential details of the individual studies

Author(s)

Yurii Aulchenko

See Also

metagwa.files


MetABEL documentation built on May 12, 2022, 3 p.m.