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Multipoint identity-by-descent prediction using dense markers to map quantitative trait loci and estimate effective population size.

Multipoint identity-by-descent prediction using dense markers to map quantitative trait loci and estimate effective population size. Research Abstract Details 

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  • Multipoint identity-by-descent prediction using dense markers to map quantitative trait loci and estimate effective population size. Abstract Text:

    theo h e meuwissenTheo H E Meuwissen,mike e goddardMike E Goddard,theo h e meuwissenTheo H E Meuwissen,mike e goddardMike E Goddard,

    A novel multipoint method, based on an approximate coalescence approach, to analyze multiple linked markers is presented. Unlike other approximate coalescence methods, it considers all markers simultaneously but only two haplotypes at a time. We demonstrate the use of this method for linkage disequilibrium (LD) mapping of QTL and estimation of effective population size. The method estimates identity-by-descent (IBD) probabilities between pairs of marker haplotypes. Both LD and combined linkage and LD mapping rely on such IBD probabilities. The method is approximate in that it considers only the information on a pair of haplotypes, whereas a full modeling of the coalescence process would simultaneously consider all haplotypes. However, full coalescence modeling is computationally feasible only for few linked markers. Using simulations of the coalescence process, the method is shown to give almost unbiased estimates of the effective population size. Compared to direct marker and haplotype association analyses, IBD-based QTL mapping showed clearly a higher power to detect a QTL and a more realistic confidence interval for its position. The modeling of LD could be extended to estimate other LD-related parameters such as recombination rates.

    Multipoint identity-by-descent prediction using dense markers to map quantitative trait loci and estimate effective population size. Publishing Authors By Initials

    th meuwissenTH Meuwissen,me goddardME Goddard,th meuwissenTH Meuwissen,me goddardME Goddard,

    For similar abstracts research abstracts see: abstracts research

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    Multipoint identity-by-descent prediction using dense markers to map quantitative trait loci and estimate effective population size. Journal Published:

    PUBLICATION TYPE: Journal Article

    Journal: Genetics

    VOLUME: 176

    Page Numbers: 2551-60

    Journal Abbreviation: Genetics

    ISSN: 0016-6731

    DAY: 11

    MONTH: 06

    YEAR: 2007

    Multipoint identity-by-descent prediction using dense markers to map quantitative trait loci and estimate effective population size. Information

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    LANGUAGE: eng

    NlmUniqueID: 374636

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    Grant and Affiliation Information for Multipoint identity-by-descent prediction using dense markers to map quantitative trait loci and estimate effective population size.

    AFFILIATION: IHA, Norwegian Academy of Life Sciences, 1432 As, Norway. theo.meuwissen@umb.no

    Country: United States

    United States Research PublicationUnited States Research Publication

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    MEDLINETA: Genetics

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