Title
META-GSA: Combining Findings from Gene-Set Analyses across Several Genome-Wide Association Studies
Document Type
Article
Publication Date
10-26-2015
Publication Title
PloS One
Department
Geisel School of Medicine
Abstract
Gene-set analysis (GSA) methods are used as complementary approaches to genome-wide association studies (GWASs). The single marker association estimates of a predefined set of genes are either contrasted with those of all remaining genes or with a null non-associated background. To pool the p-values from several GSAs, it is important to take into account the concordance of the observed patterns resulting from single marker association point estimates across any given gene set. Here we propose an enhanced version of Fisher’s inverse χ2-method META-GSA, however weighting each study to account for imperfect correlation between association patterns.
DOI
10.1371/journal.pone.0140179
Dartmouth Digital Commons Citation
Rosenberger, Albert; Friedrichs, Stefanie; Amos, Christopher I.; Brennan, Paul; Fehringer, Gordon; Heinrich, Joachim; Hung, Rayjean J.; Muley, Thomas; Müller-Nurasyid, Martina; Risch, Angela; and Bickeböller, Heike, "META-GSA: Combining Findings from Gene-Set Analyses across Several Genome-Wide Association Studies" (2015). Dartmouth Scholarship. 2917.
https://digitalcommons.dartmouth.edu/facoa/2917