Literature DB >> 17273979

Efficient association mapping of quantitative trait loci with selective genotyping.

B E Huang1, D Y Lin.   

Abstract

Selective genotyping (i.e., genotyping only those individuals with extreme phenotypes) can greatly improve the power to detect and map quantitative trait loci in genetic association studies. Because selection depends on the phenotype, the resulting data cannot be properly analyzed by standard statistical methods. We provide appropriate likelihoods for assessing the effects of genotypes and haplotypes on quantitative traits under selective-genotyping designs. We demonstrate that the likelihood-based methods are highly effective in identifying causal variants and are substantially more powerful than existing methods.

Mesh:

Year:  2007        PMID: 17273979      PMCID: PMC1821103          DOI: 10.1086/512727

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


  11 in total

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9.  Maximum likelihood estimation of haplotype effects and haplotype-environment interactions in association studies.

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10.  Improved power offered by a score test for linkage disequilibrium mapping of quantitative-trait loci by selective genotyping.

Authors:  Chris Wallace; Juliet M Chapman; David G Clayton
Journal:  Am J Hum Genet       Date:  2006-01-05       Impact factor: 11.025

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  28 in total

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9.  Response inhibition and ADHD traits: correlates and heritability in a community sample.

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10.  Power of selective genotyping in genome-wide association studies of quantitative traits.

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