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Methods to investigate gene-strata interaction in genome-wide association meta-analyses on the example of obesity

Winkler, Thomas (2016) Methods to investigate gene-strata interaction in genome-wide association meta-analyses on the example of obesity. PhD, Universität Regensburg.

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Date of publication of this fulltext: 05 Aug 2016 04:57

Abstract (English)

While genome-wide association meta-analyses (GWAMA) have largely contributed to the understanding of the genetics of complex diseases, such as obesity, little has been known about whether or not the genetic effects differ between strata, such as between men and women, or between smokers and non-smokers. Thus, this work focused on stratified GWAMA screening approaches to identify variants with ...

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Translation of the abstract (German)

Genomweite Assoziations Meta-Analysen (GWAMAs) haben wesentlich zum besseren Verständnis der Genetik von komplexen Krankheiten, wie z.B. Adipositas, beigetragen. Allerdings ist wenig darüber bekannt, ob sich genetische Effekte zwischen Subgruppen, wie z.B. zwischen Männern und Frauen oder zwischen Rauchern und Nichtrauchern, unterscheiden. Die vorliegende Arbeit befasste sich daher mit ...

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Item type:Thesis of the University of Regensburg (PhD)
Date:5 August 2016
Referee:Prof. Dr. Iris Heid
Date of exam:29 July 2015
Institutions:Medicine > Institut für Epidemiologie und Präventivmedizin
Keywords:Gene-environment interaction, genome-wide association, meta-analysis, obesity
Dewey Decimal Classification:500 Science > 570 Life sciences
Status:Published
Refereed:Yes, this version has been refereed
Created at the University of Regensburg:Yes
Item ID:32289
Owner only: item control page

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