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Genome-wide association studies (GWAS) have been successful in identifying loci associated with a wide range of complex human traits and diseases. Up to now, the majority of GWAS have focused on European populations. However, the inclusion of other ethnic groups as well as admixed populations in GWAS studies is rapidly rising following the pressing need to extrapolate findings to non-European populations and to increase statistical power. In this paper, we describe the methodological steps surrounding genetic data generation, quality control, study design and analytical procedures needed to run GWAS in the multiethnic and highly admixed Generation R Study, a large prospective birth cohort in Rotterdam, the Netherlands. Furthermore, we highlight a number of practical considerations and alternatives pertinent to the quality control and analysis of admixed GWAS data.

Original publication

DOI

10.1007/s10654-015-9998-4

Type

Journal article

Journal

European journal of epidemiology

Publication Date

04/2015

Volume

30

Pages

317 - 330

Addresses

The Generation R Study Group, Erasmus University Medical Center, Rotterdam, The Netherlands.

Keywords

Humans, Disease, Population Surveillance, Logistic Models, Prospective Studies, Genotype, Phenotype, European Continental Ancestry Group, Ethnic Groups, Netherlands, Genome-Wide Association Study, Genetic Linkage