Literature DB >> 10712216

QTL fine mapping by measuring and testing for Hardy-Weinberg and linkage disequilibrium at a series of linked marker loci in extreme samples of populations.

H W Deng1, W M Chen, R R Recker.   

Abstract

It has recently been demonstrated that fine-scale mapping of a susceptibility locus for a complex disease can be accomplished on the basis of deviations from Hardy-Weinberg (HW) equilibrium at closely linked marker loci among affected individuals. We extend this theory to fine-scale localization of a quantitative-trait locus (QTL) from extreme individuals in populations, by means of HW and linkage-disequilibrium (LD) analyses. QTL mapping and/or linkage analyses can establish a large genomic region ( approximately 30 cM) that contains a QTL. The QTL can be fine mapped by examination of the degree of deviation from HW and LD at a series of closely linked marker loci. The tests can be performed for samples of individuals belonging to either high or low percentiles of the phenotype distribution or for combined samples of these extreme individuals. The statistical properties (the power and the size) of the tests of this fine-mapping approach are investigated and are compared extensively, under various genetic models and parameters for the QTL and marker loci. On the basis of the results, a two-stage procedure that uses extreme samples and different tests (for HW and LD) is suggested for QTL fine mapping. This two-step procedure is economic and powerful and can accurately narrow a genomic region containing a QTL from approximately 30-1 cM, a range that renders physical mapping feasible for identification of the QTL. In addition, the relationship between parameterizations of complex diseases, by means of penetrance, and those of complex quantitative traits, by means of genotypic values, is outlined. This means that many statistical genetic methods developed for searching for susceptibility loci of complex diseases can be directly adopted and/or extended to QTL mapping for quantitative traits.

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Year:  2000        PMID: 10712216      PMCID: PMC1288140          DOI: 10.1086/302804

Source DB:  PubMed          Journal:  Am J Hum Genet        ISSN: 0002-9297            Impact factor:   11.025


  31 in total

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2.  Detecting marker-disease association by testing for Hardy-Weinberg disequilibrium at a marker locus.

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Journal:  Am J Hum Genet       Date:  1998-11       Impact factor: 11.025

3.  A conditional inference framework for extending the transmission/disequilibrium test.

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4.  Genetic association mapping based on discordant sib pairs: the discordant-alleles test.

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5.  A sibship test for linkage in the presence of association: the sib transmission/disequilibrium test.

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Journal:  Am J Hum Genet       Date:  1998-02       Impact factor: 11.025

6.  Transmission/disequilibrium tests for multiallelic loci.

Authors:  P Sham
Journal:  Am J Hum Genet       Date:  1997-09       Impact factor: 11.025

7.  A transmission disequilibrium test for quantitative trait loci.

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Journal:  Hum Hered       Date:  1997 Nov-Dec       Impact factor: 0.444

8.  Fine-scale genetic mapping based on linkage disequilibrium: theory and applications.

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Journal:  Am J Hum Genet       Date:  1997-06       Impact factor: 11.025

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  16 in total

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Authors:  H W Deng; W M Chen; R R Recker
Journal:  Genetics       Date:  2001-02       Impact factor: 4.562

2.  Inflated false-positive rates in Hardy-Weinberg and linkage-equilibrium tests are due to sampling on the basis of rare familial phenotypes in finite populations.

Authors:  J D Terwilliger
Journal:  Am J Hum Genet       Date:  2000-07       Impact factor: 11.025

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Authors:  H W Deng; W M Chen
Journal:  Am J Hum Genet       Date:  2000-07       Impact factor: 11.025

4.  Identifying disease genes underlying complex traits.

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5.  Population admixture may appear to mask, change or reverse genetic effects of genes underlying complex traits.

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6.  Survival quantitative trait locus fine mapping by measuring and testing for Hardy-Weinberg and linkage disequilibrium.

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Journal:  Genetics       Date:  2007-04-03       Impact factor: 4.562

7.  Powerful multi-marker association tests: unifying genomic distance-based regression and logistic regression.

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8.  Genetic model selection in two-phase analysis for case-control association studies.

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9.  Deciphering the regulation of porcine genes influencing growth, fatness and yield-related traits through genetical genomics.

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10.  Interaction of Crohn's disease susceptibility genes in an Australian paediatric cohort.

Authors:  Josef Wagner; Winnie H Sim; Justine A Ellis; Eng K Ong; Anthony G Catto-Smith; Donald J S Cameron; Ruth F Bishop; Carl D Kirkwood
Journal:  PLoS One       Date:  2010-11-08       Impact factor: 3.240

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