Scientific Publications

Meta-analysis of gene-level tests for rare variant association.

Publication TypeJournal Article
AuthorsLiu, DJ, Peloso GM, Zhan X., Holmen OL, Zawistowski M., Feng S., Nikpay M., Auer PL, Goel A., Zhang H., Peters U., Farrall M., Orho-Melander M., Kooperberg C., McPherson R., Watkins H., Willer CJ, Hveem K., Melander O., Kathiresan S., and Abecasis GR
AbstractThe majority of reported complex disease associations for common genetic variants have been identified through meta-analysis, a powerful approach that enables the use of large sample sizes while protecting against common artifacts due to population structure and repeated small-sample analyses sharing individual-level data. As the focus of genetic association studies shifts to rare variants, genes and other functional units are becoming the focus of analysis. Here we propose and evaluate new approaches for performing meta-analysis of rare variant association tests, including burden tests, weighted burden tests, variable-threshold tests and tests that allow variants with opposite effects to be grouped together. We show that our approach retains useful features from single-variant meta-analysis approaches and demonstrate its use in a study of blood lipid levels in ∼18,500 individuals genotyped with exome arrays.
Year of Publication2013
JournalNature genetics
Date Published (YYYY/MM/DD)2013/12/15
ISSN Number1061-4036
DOI10.1038/ng.2852
PubMedhttp://www.ncbi.nlm.nih.gov/pubmed/24336170?dopt=Abstract