Identifying systematic heterogeneity patterns in genetic association meta-analysis studies.

ABSTRACT: Progress in mapping loci associated with common complex diseases or quantitative inherited traits has been expedited by large-scale meta-analyses combining information across multiple studies, assembled through collaborative networks of researchers. Participating studies will usually have been independently designed and implemented in unique settings that are potential sources of phenotype, ancestry or other variability that could introduce between-study heterogeneity into a meta-analysis. Heterogeneity tests based on individual genetic variants (e.g. Q, I2) are not suited to identifying locus-specific from more systematic multi-locus or genome-wide patterns of heterogeneity. We have developed and evaluated an aggregate heterogeneity M statistic that combines between-study heterogeneity in

SUBMITTER: Magosi LE 

PROVIDER: S-EPMC5432194 | biostudies-literature | 2017 May

REPOSITORIES: biostudies-literature