Literature DB >> 17517154

Evaluation of linkage disequilibrium measures between multi-allelic markers as predictors of linkage disequilibrium between single nucleotide polymorphisms.

H Zhao1, D Nettleton, J C M Dekkers.   

Abstract

Effectiveness of marker-assisted selection (MAS) and quantitative trait locus (QTL) mapping using population-wide linkage disequilibrium (LD) between markers and QTLs depends on the extent of LD and how it declines with distance between markers and QTLs in a population. Marker-QTL LD can be predicted from LD between markers. Our previous work evaluated LD measures between multi-allelic markers as predictors of usable LD of multi-allelic markers with QTLs. Since single nucleotide polymorphisms (SNPs) are the current marker of choice for high-density genotyping and LD-mapping of QTLs, the objective of this study was to use LD between multi-allelic markers to predict LD among biallelic SNPs or between SNPs and QTLs. Observable LD between multi-allelic markers was evaluated using nine measures. These included two pooled and standardized measures of LD between pairs of alleles at two markers based on Lewontin's LD measure, two pooled measures of squared correlations between alleles, one standardized measure using Hardy-Weinberg heterozygosities, and four measures based on the chi-square statistic for testing for association between alleles at two loci. The standardized chi-square measure that best predicted usable LD between multi-allelic markers and QTLs, based on our previous work, overestimated usable SNP-SNP or SNP-QTL LD. Instead, three other measures were found to be good predictors of usable SNP-SNP or SNP-QTL LD when LD is generated by drift. Therefore, the LD measure between multi-allelic markers that is best for predicting usable LD in a population depends on the type of markers (i.e. multi-allelic or biallelic) that will eventually be used for QTL mapping or MAS.

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Year:  2007        PMID: 17517154     DOI: 10.1017/S0016672307008634

Source DB:  PubMed          Journal:  Genet Res        ISSN: 0016-6723            Impact factor:   1.588


  25 in total

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2.  Genetic variability and linkage disequilibrium patterns in the bovine DNAJA1 gene.

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3.  Correlation-based inference for linkage disequilibrium with multiple alleles.

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Journal:  Genetics       Date:  2008-08-30       Impact factor: 4.562

4.  Identification and association of novel lncRNA pouMU1 gene mutations with chicken performance traits.

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Review 5.  Linkage disequilibrium--understanding the evolutionary past and mapping the medical future.

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6.  Linkage disequilibrium in related breeding lines of chickens.

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7.  SNP and haplotype analysis reveal IGF2 variants associated with growth traits in Chinese Qinchuan cattle.

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Journal:  Mol Biol Rep       Date:  2013-12-28       Impact factor: 2.316

8.  Integrated genomics of susceptibility to alkylator-induced leukemia in mice.

Authors:  Patrick Cahan; Timothy A Graubert
Journal:  BMC Genomics       Date:  2010-11-17       Impact factor: 3.969

9.  Accuracy of genomic selection in simulated populations mimicking the extent of linkage disequilibrium in beef cattle.

Authors:  Fernanda V Brito; José Braccini Neto; Mehdi Sargolzaei; Jaime A Cobuci; Flavio S Schenkel
Journal:  BMC Genet       Date:  2011-09-20       Impact factor: 2.797

10.  Linkage disequilibrium in Angus, Charolais, and Crossbred beef cattle.

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Journal:  Front Genet       Date:  2012-08-14       Impact factor: 4.599

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