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Statistical Genetics: Genome-Wide Studies 

Statistical Genetics: Genome-Wide Studies
Chapter:
Statistical Genetics: Genome-Wide Studies
Author(s):

Till F. M. Andlauer

, Bertram Müller-Myhsok

, and Stephan Ripke

DOI:
10.1093/med/9780190221973.003.0004
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date: 16 February 2019

Over more than the last decade, hypothesis-free genome-wide association studies (GWAS) have been widely used to detect genetic factors influencing phenotypes of interest. The basic principle of GWAS has been unchanged since the beginning: a series of univariate tests is conducted on all genetic variants available across the genome. We present study designs and commonly used methods for genome-wide studies, with a focus on the analysis of common variants. The basic concepts required for an application of GWAS in psychiatric genetics are introduced, from power calculation to meta-analysis. This chapter will help the reader in gaining the knowledge required for participation in and realization of GWAS of both qualitative and quantitative traits.

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