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Using Population Mixtures to Optimize the Utility of Genomic Databases: Linkage Disequilibrium and Association Study Design in India

dc.contributor.authorPemberton, Trevor J.en_US
dc.contributor.authorJakobsson, Mattiasen_US
dc.contributor.authorConrad, D. F.en_US
dc.contributor.authorCoop, G.en_US
dc.contributor.authorWall, J. D.en_US
dc.contributor.authorPritchard, Jonathan K.en_US
dc.contributor.authorPatel, P. I.en_US
dc.contributor.authorRosenberg, Noah A.en_US
dc.date.accessioned2010-04-01T15:28:06Z
dc.date.available2010-04-01T15:28:06Z
dc.date.issued2008-07en_US
dc.identifier.citationPemberton, T. J.; Jakobsson, M.; Conrad, D. F.; Coop, G.; Wall, J. D.; Pritchard, J. K.; Patel, P. I.; Rosenberg, N. A. (2008). "Using Population Mixtures to Optimize the Utility of Genomic Databases: Linkage Disequilibrium and Association Study Design in India." Annals of Human Genetics 72(4): 535-546. <http://hdl.handle.net/2027.42/65949>en_US
dc.identifier.issn0003-4800en_US
dc.identifier.issn1469-1809en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/65949
dc.identifier.urihttp://www.ncbi.nlm.nih.gov/sites/entrez?cmd=retrieve&db=pubmed&list_uids=18513279&dopt=citationen_US
dc.description.abstractWhen performing association studies in populations that have not been the focus of large-scale investigations of haplotype variation, it is often helpful to rely on genomic databases in other populations for study design and analysis – such as in the selection of tag SNPs and in the imputation of missing genotypes. One way of improving the use of these databases is to rely on a mixture of database samples that is similar to the population of interest, rather than using the single most similar database sample. We demonstrate the effectiveness of the mixture approach in the application of African, European, and East Asian HapMap samples for tag SNP selection in populations from India, a genetically intermediate region underrepresented in genomic studies of haplotype variation.en_US
dc.format.extent619283 bytes
dc.format.extent3110 bytes
dc.format.mimetypeapplication/pdf
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dc.publisherBlackwell Publishing Ltden_US
dc.rightsJournal compilation © 2008 University College Londonen_US
dc.subject.otherAssociation Mappingen_US
dc.subject.otherBengalien_US
dc.subject.otherIndian Populationen_US
dc.subject.otherPortabilityen_US
dc.subject.otherSingle-nucleotide Polymorphismen_US
dc.subject.otherTamilen_US
dc.titleUsing Population Mixtures to Optimize the Utility of Genomic Databases: Linkage Disequilibrium and Association Study Design in Indiaen_US
dc.typeArticleen_US
dc.rights.robotsIndexNoFollowen_US
dc.subject.hlbsecondlevelGeneticsen_US
dc.subject.hlbtoplevelHealth Sciencesen_US
dc.description.peerreviewedPeer Revieweden_US
dc.contributor.affiliationumDepartment of Human Genetics and Center for Computational Medicine and Biology, University of Michigan, 100 Washtenaw Ave., Ann Arbor, Michigan 48109 USAen_US
dc.contributor.affiliationotherInstitute for Genetic Medicine, University of Southern California, 2250 Alcazar St., Los Angeles, California 90033 USAen_US
dc.contributor.affiliationotherDepartment of Human Genetics, University of Chicago, 920 East 58th St., Chicago, Illinois 60637 USAen_US
dc.contributor.affiliationotherDepartment of Epidemiology and Biostatistics, University of California, San Francisco, California 94107 USAen_US
dc.identifier.pmid18513279en_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/65949/1/j.1469-1809.2008.00457.x.pdf
dc.identifier.doi10.1111/j.1469-1809.2008.00457.xen_US
dc.identifier.sourceAnnals of Human Geneticsen_US
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dc.owningcollnameInterdisciplinary and Peer-Reviewed


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