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Adjusting for Familial Relatedness in the Analysis of GWAS Data
Relatedness within a sample can be of ancient (population stratification) or recent (familial structure) origin, and can either be known (pedigree data) or unknown (cryptic relatedness). All of these forms of familial relatedness have the potential to confound the results of genome-wide association studies. This chapter reviews the major methods available to researchers to adjust for the biases introduced by relatedness and maximize power to detect associations. The advantages and disadvantages of different methods are presented with reference to elements of study design, population characteristics, and computational requirements.
History
Publication title
Methods in Molecular Biology: Bioinformatics - Volume II: Structure, Function, and Applications.Volume
1526Editors
JM KeithPagination
175-190ISBN
978-1-4939-6613-4Department/School
Menzies Institute for Medical ResearchPublisher
Humana PressPlace of publication
New York, United StatesExtent
21Rights statement
Copyright 2017 Springer Science+Business Media New YorkRepository Status
- Restricted