Analysis of genome-wide association data

McRae, Allan F. (2017). Analysis of genome-wide association data. In Jonathan M. Keith (Ed.), Bioinformatics. Volume II: structure, function, and applications (pp. 161-173) New York, NY, United States: Humana Press. doi:10.1007/978-1-4939-6613-4_9


Author McRae, Allan F.
Title of chapter Analysis of genome-wide association data
Title of book Bioinformatics. Volume II: structure, function, and applications
Language of Book Title eng
Place of Publication New York, NY, United States
Publisher Humana Press
Publication Year 2017
Sub-type Research book chapter (original research)
DOI 10.1007/978-1-4939-6613-4_9
Open Access Status Not yet assessed
Year available 2017
Series Methods in molecular biology
ISBN 9781493966110
9781493966134
ISSN 1064-3745
1940-6029
Editor Jonathan M. Keith
Volume number 1526
Chapter number 9
Start page 161
End page 173
Total pages 13
Total chapters 21
Language eng
Subjects 1312 Molecular Biology
1311 Genetics
Abstract/Summary The last decade has seen substantial advances in the understanding of the genetics of complex traits and disease. This has been largely driven by genome-wide association studies (GWAS), which have identified thousands of genetic loci associated with these traits and disease. This chapter provides a guide on how to perform GWAS on both binary (case-control) and quantitative traits. As poor data quality, through both genotyping failures and unobserved population structure, is a major cause of false-positive genetic associations, there is a particular focus on the crucial steps required to prepare the SNP data prior to analysis. This is followed by the methods used to perform the actual GWAS and visualization of the results.
Keyword Case-control
Genome-wide association
Imputation
Population stratification
Quantitative trait
SNP cleaning
Q-Index Code B1
Q-Index Status Provisional Code
Institutional Status UQ
Additional Notes Figures

Document type: Book Chapter
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