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Identification of Disease-Related Genes Using a Genome-Wide Association Study Approach

  • Tobias Wohland
  • Dorit SchleinitzEmail author
Protocol
Part of the Methods in Molecular Biology book series (MIMB, volume 1706)

Abstract

Genome-wide association studies (GWAS) provide a hypothesis-free approach to discover genetic variants contributing to the risk of a certain disease or disease-related trait. Ongoing efforts to annotate the human genome have helped to localize disease-causing variants and point to mechanisms by which genetic variants might exert functional effects. By integrating bioinformatics approaches with in vivo and in vitro genomic strategies to predict and subsequently validate the functional roles of GWAS-identified variants, disease-related pathways can be characterized, providing new possibilities for therapeutic intervention. Here, we describe a basic workflow, from sample preparation to data analysis, for performing a GWAS to identify disease genes. We also discuss resources for the annotation and interpretation of GWAS results.

Key words

GWAS Affymetrix Illumina GenABEL SNP annotation 

Notes

Acknowledgments

We would like to cordially thank Peter Kovacs, head of the research group Genetics of Obesity and Diabetes, and our colleagues for their everlasting scientific and personal support.

Funding: Tobias Wohland is funded by the IFB AdiposityDiseases (AD2-6E95). Dorit Schleinitz is funded by the Boehringer Ingelheim Foundation and by a Collaborative Research Center (C1, CRC1052).

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Copyright information

© Springer Science+Business Media, LLC 2018

Authors and Affiliations

  1. 1.IFB AdiposityDiseasesLeipzig University Medical Center, University of Leipzig - Medical FacultyLeipzigGermany
  2. 2.Clinic and Policlinic for Endocrinology and NephrologyLeipzig University Medical CenterLeipzigGermany

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