Postgwas: advanced GWAS interpretation in R.Open Access

Hiersche M, Rühle F, Stoll M

Forschungsartikel (Zeitschrift) | Peer reviewed

Zusammenfassung

We present a comprehensive toolkit for post-processing, visualization and advanced analysis of GWAS results. In the spirit of comparable tools for gene-expression analysis, we attempt to unify and simplify several procedures that are essential for the interpretation of GWAS results. This includes the generation of advanced Manhattan and regional association plots including rare variant display as well as novel interaction network analysis tools for the investigation of systems-biology aspects. Our package supports virtually all model organisms and represents the first cohesive implementation of such tools for the popular language R. Previous software of that range is dispersed over a wide range of platforms and mostly not adaptable for custom work pipelines. We demonstrate the utility of this package by providing an example workflow on a publicly available dataset.

Details zur Publikation

FachzeitschriftPloS one (PLoS One)
Jahrgang / Bandnr. / Volume2013
StatusVeröffentlicht
Veröffentlichungsjahr2013 (19.08.2013)
Sprache, in der die Publikation verfasst istEnglisch
DOI10.1371/journal.pone.0071775
StichwörterGenomewide association studies; bioinformatics

Autor*innen der Universität Münster

Stoll, Monika
Leibniz-Institut für Arterioskleroseforschung an der Universität Münster (LIFA)