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dc.contributor.authorMedina-Gomez, Carolinaen_US
dc.contributor.authorFelix, Janine Frédériqueen_US
dc.contributor.authorEstrada, Karolen_US
dc.contributor.authorPeters, Marjoline Josephineen_US
dc.contributor.authorHerrera, Lizbethen_US
dc.contributor.authorKruithof, Claudia Jeanetteen_US
dc.contributor.authorDuijts, Liesbethen_US
dc.contributor.authorHofman, Alberten_US
dc.contributor.authorvan Duijn, Cornelia Marjaen_US
dc.contributor.authorUitterlinden, Andreas Gerardusen_US
dc.contributor.authorJaddoe, Vincent Wilfred Vishalen_US
dc.contributor.authorRivadeneira, Fernandoen_US
dc.date.accessioned2015-05-04T15:27:11Z
dc.date.issued2015en_US
dc.identifier.citationMedina-Gomez, C., J. F. Felix, K. Estrada, M. J. Peters, L. Herrera, C. J. Kruithof, L. Duijts, et al. 2015. “Challenges in conducting genome-wide association studies in highly admixed multi-ethnic populations: the Generation R Study.” European Journal of Epidemiology 30 (4): 317-330. doi:10.1007/s10654-015-9998-4. http://dx.doi.org/10.1007/s10654-015-9998-4.en
dc.identifier.issn0393-2990en
dc.identifier.urihttp://nrs.harvard.edu/urn-3:HUL.InstRepos:15034889
dc.description.abstractGenome-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. Electronic supplementary material The online version of this article (doi:10.1007/s10654-015-9998-4) contains supplementary material, which is available to authorized users.en
dc.language.isoen_USen
dc.publisherSpringer Netherlandsen
dc.relation.isversionofdoi:10.1007/s10654-015-9998-4en
dc.relation.hasversionhttp://www.ncbi.nlm.nih.gov/pmc/articles/PMC4385148/pdf/en
dash.licenseLAAen_US
dc.subjectGenome-wide association studiesen
dc.subjectQuality control GWASen
dc.subjectGenomic imputationen
dc.subjectAdmixed populationen
dc.subjectMultiethnic studyen
dc.titleChallenges in conducting genome-wide association studies in highly admixed multi-ethnic populations: the Generation R Studyen
dc.typeJournal Articleen_US
dc.description.versionVersion of Recorden
dc.relation.journalEuropean Journal of Epidemiologyen
dc.date.available2015-05-04T15:27:11Z
dc.identifier.doi10.1007/s10654-015-9998-4*
dash.authorsorderedfalse


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