Optimal design of low density marker panels for genotype imputation

cg.authorship.typesCGIAR and developing country instituteen_US
cg.authorship.typesCGIAR and advanced research instituteen_US
cg.contributor.affiliationUniversity of New Englanden_US
cg.contributor.affiliationInternational Livestock Research Instituteen_US
cg.contributor.affiliationScotland's Rural Collegeen_US
cg.contributor.affiliationUniversity of Melbourneen_US
cg.contributor.affiliationPICO Eastern Africaen_US
cg.contributor.crpLivestocken_US
cg.contributor.donorBill & Melinda Gates Foundationen_US
cg.coverage.regionAfricaen_US
cg.coverage.regionEastern Africaen_US
cg.creator.identifierRaphael Mrode: 0000-0003-1964-5653en_US
cg.creator.identifierAlly Okeyo Mwai: 0000-0003-2379-7801en_US
cg.creator.identifierTadelle Dessie: 0000-0002-1630-0417en_US
cg.creator.identifierJohn Gibson: 0000-0003-0371-2401en_US
cg.creator.identifierOjango J.M.K.: 0000-0003-0224-5370en_US
cg.howPublishedFormally Publisheden_US
cg.identifier.urlhttp://www.wcgalp.org/proceedings/2018/optimal-design-low-density-marker-panels-genotype-imputationen_US
cg.subject.ilriANIMAL BREEDINGen_US
cg.subject.ilriCATTLEen_US
cg.subject.ilriGENETICSen_US
cg.subject.ilriLIVESTOCKen_US
dc.contributor.authorAliloo, Hassanen_US
dc.contributor.authorMrode, Raphael A.en_US
dc.contributor.authorOkeyo Mwai, Allyen_US
dc.contributor.authorOjango, Julie M.K.en_US
dc.contributor.authorDessie, Tadelleen_US
dc.contributor.authorRege, J.E.O.en_US
dc.contributor.authorGoddard, M.en_US
dc.contributor.authorGibson, John P.en_US
dc.date.accessioned2018-11-18T17:42:42Zen_US
dc.date.available2018-11-18T17:42:42Zen_US
dc.identifier.urihttps://hdl.handle.net/10568/98244en_US
dc.titleOptimal design of low density marker panels for genotype imputationen_US
dcterms.abstractCost-effective genotyping of livestock species can be done through a process which involves genotyping part of the population using a high density (HD) panel and the remainder with a lower density panel and then use imputation to infer the missing genotypes that are not included on the low density panel. Therefore, it is desirable to have a method of selecting markers for an assay that maximises imputation accuracy. Here we present a marker selection method that relies on the pairwise (co)variances between single nucleotide polymorphisms (SNPs) and the minor allele frequency (MAF) of SNPs. The performance of the developed method was tested in a 5 fold cross-validation process using genotypes of crossbred dairy cattle in East Africa, a population in which it is unclear whether existing low density SNP assays designed for purebred populations will maintain high imputation accuracies. Various densities of SNPs were selected using the (co)variance method and alternative SNP selection methods and then imputed up to the HD panel. The (co)variance method provided the highest imputation accuracies at all marker densities, with accuracies being up to 19% higher than the random selection of SNPs. The presented method is straightforward in its application and can ensure high accuracies in genotype imputation of crossbred dairy population in East Africa.en_US
dcterms.accessRightsOpen Accessen_US
dcterms.audienceScientistsen_US
dcterms.bibliographicCitationAliloo, H., Mrode, R., Okeyo, M., Ojango, J., Dessie, T., Rege, E., Goddard, M. and Gibson, J. 2018. Optimal design of low density marker panels for genotype imputation. IN: Proceedings of the World Congress on Genetics Applied to Livestock Production, Volume Technologies - Genotyping: 146.en_US
dcterms.issued2018en_US
dcterms.languageenen_US
dcterms.licenseCC-BY-NC-ND-4.0en_US
dcterms.subjectanimal breedingen_US
dcterms.subjectgeneticsen_US
dcterms.subjectlivestocken_US
dcterms.typeConference Paperen_US

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