Literature DB >> 19416941

Binary trait mapping in experimental crosses with selective genotyping.

Ani Manichaikul1, Karl W Broman.   

Abstract

Selective genotyping is an efficient strategy for mapping quantitative trait loci. For binary traits, where there are only two distinct phenotypic values (e.g., affected/unaffected or present/absent), one may consider selective genotyping of affected individuals, while genotyping none or only some of the unaffected. If selective genotyping of this sort is employed, the usual method for binary trait mapping, which considers phenotypes conditional on genotypes, cannot be used. We present an alternative approach, instead considering genotypes conditional on phenotypes, and compare this to the more standard method of analysis, both analytically and by example. For studies of rare binary phenotypes, we recommend performing an initial genome scan with all affected individuals and an equal number of unaffected, followed by genotyping the full cross in genomic regions of interest to confirm results from the initial screen.

Mesh:

Year:  2009        PMID: 19416941      PMCID: PMC2710165          DOI: 10.1534/genetics.108.098913

Source DB:  PubMed          Journal:  Genetics        ISSN: 0016-6731            Impact factor:   4.562


  20 in total

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5.  Multiple-trait mapping of quantitative trait loci after selective genotyping using logistic regression.

Authors:  J M Henshall; M E Goddard
Journal:  Genetics       Date:  1999-02       Impact factor: 4.562

6.  Mapping quantitative trait loci for complex binary diseases using line crosses.

Authors:  S Xu; W R Atchley
Journal:  Genetics       Date:  1996-07       Impact factor: 4.562

7.  Molecular mapping of segregation distortion loci in Aegilops tauschii.

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8.  Mapping mendelian factors underlying quantitative traits using RFLP linkage maps.

Authors:  E S Lander; D Botstein
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9.  Asymptotic properties of affected-sib-pair linkage analysis.

Authors:  P Holmans
Journal:  Am J Hum Genet       Date:  1993-02       Impact factor: 11.025

10.  Utilization of a whole genome SNP panel for efficient genetic mapping in the mouse.

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Journal:  Genome Res       Date:  2006-02-03       Impact factor: 9.043

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  1 in total

1.  A maximum likelihood approach to functional mapping of longitudinal binary traits.

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