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Information on ancestry from genetic markers

dc.contributor.authorPfaff, Carrie Lynnen_US
dc.contributor.authorBarnholtz-Sloan, Jillen_US
dc.contributor.authorWagner, Jennifer K.en_US
dc.contributor.authorLong, Jeffrey C.en_US
dc.date.accessioned2006-04-19T13:59:35Z
dc.date.available2006-04-19T13:59:35Z
dc.date.issued2004-05en_US
dc.identifier.citationPfaff, Carrie Lynn; Barnholtz-Sloan, Jill; Wagner, Jennifer K.; Long, Jeffrey C. (2004)."Information on ancestry from genetic markers." Genetic Epidemiology 26(4): 305-315. <http://hdl.handle.net/2027.42/34936>en_US
dc.identifier.issn0741-0395en_US
dc.identifier.issn1098-2272en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/34936
dc.identifier.urihttp://www.ncbi.nlm.nih.gov/sites/entrez?cmd=retrieve&db=pubmed&list_uids=15095390&dopt=citationen_US
dc.description.abstractIt is possible to estimate the proportionate contributions of ancestral populations to admixed individuals or populations using genetic markers, but different loci and alleles vary considerably in the amount of information that they provide. Conventionally, the allele frequency difference between parental populations (δ) has been used as the criterion to select informative markers. However, it is unclear how to use δ for multiallelic loci, or populations formed by the mixture of more than two groups. Moreover, several other factors, including the actual ancestral proportions and the relative genetic diversities of the parental populations, affect the information provided by genetic markers. We demonstrate here that using δ as the sole criterion for marker selection is inadequate, and we propose, instead, to use Fisher's information, which is the inverse of the variance of the estimated ancestral contributions. This measure is superior because it is directly related to the precision of ancestry estimates. Although δ is related to Fisher's information, the relationship is neither linear nor simple, and the information can vary widely for markers with identical δs. Fortunately, Fisher's information is easily computed and formally extends to the situation of multiple alleles and/or parental populations. We examined the distribution of information for SNP and microsatellite loci available in the public domain for a variety of model admixed populations. The information, on average, is higher for microsatellite loci, but exceptional SNPs exceed the best microsatellites. Despite the large number of genetic markers that have been identified for admixture analysis, it appears that information for estimating admixture proportions is limited, and estimates will typically have wide confidence intervals. © 2004 Wiley-Liss,Inc.en_US
dc.format.extent340112 bytes
dc.format.extent3118 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypetext/plain
dc.language.isoen_US
dc.publisherWiley Subscription Services, Inc., A Wiley Companyen_US
dc.subject.otherLife and Medical Sciencesen_US
dc.subject.otherGeneticsen_US
dc.titleInformation on ancestry from genetic markersen_US
dc.typeArticleen_US
dc.rights.robotsIndexNoFollowen_US
dc.subject.hlbsecondlevelBiological Chemistryen_US
dc.subject.hlbsecondlevelGeneticsen_US
dc.subject.hlbsecondlevelMolecular, Cellular and Developmental Biologyen_US
dc.subject.hlbtoplevelHealth Sciencesen_US
dc.subject.hlbtoplevelScienceen_US
dc.description.peerreviewedPeer Revieweden_US
dc.contributor.affiliationumDepartment of Human Genetics, University of Michigan Medical School, Ann Arbor, Michiganen_US
dc.contributor.affiliationumDepartment of Human Genetics, University of Michigan Medical School, Ann Arbor, Michiganen_US
dc.contributor.affiliationumDepartment of Human Genetics, University of Michigan Medical School, Ann Arbor, Michigan ; Department of Human Genetics, University of Michigan Medical School, 4909 Buhl, Ann Arbor, MI 48109en_US
dc.contributor.affiliationotherDepartment of Internal Medicine, Wayne State University School of Medicine, Detroit, Michiganen_US
dc.identifier.pmid15095390en_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/34936/1/10319_ftp.pdfen_US
dc.identifier.doihttp://dx.doi.org/10.1002/gepi.10319en_US
dc.identifier.sourceGenetic Epidemiologyen_US
dc.owningcollnameInterdisciplinary and Peer-Reviewed


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