Literature DB >> 21626281

A simple bias correction in linear regression for quantitative trait association under two-tail extreme selection.

Johnny S H Kwan1, Annie W C Kung, Pak C Sham.   

Abstract

Selective genotyping can increase power in quantitative trait association. One example of selective genotyping is two-tail extreme selection, but simple linear regression analysis gives a biased genetic effect estimate. Here, we present a simple correction for the bias.

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Year:  2011        PMID： 21626281      PMCID： PMC3162965          DOI： 10.1007/s10519-011-9475-0

Source DB:  PubMed          Journal:  Behav Genet        ISSN： 0001-8244            Impact factor:   2.805


  11 in total

1.  The power to detect linkage disequilibrium with quantitative traits in selected samples.

Authors:  G R Abecasis; W O Cookson; L R Cardon
Journal:  Am J Hum Genet       Date:  2001-05-08       Impact factor: 11.025

2.  Power of selective genotyping in genetic association analyses of quantitative traits.

Authors:  S Van Gestel; J J Houwing-Duistermaat; R Adolfsson; C M van Duijn; C Van Broeckhoven
Journal:  Behav Genet       Date:  2000-03       Impact factor: 2.805

3.  Disequilibrium mapping of a quantitative-trait locus in an expanding population.

Authors:  M Slatkin
Journal:  Am J Hum Genet       Date:  1999-06       Impact factor: 11.025

4.  Linkage disequilibrium mapping of quantitative trait loci under truncation selection.

Authors:  M Xiong; R Fan; L Jin
Journal:  Hum Hered       Date:  2002       Impact factor: 0.444

5.  Equivalence of three score tests for association mapping of quantitative trait loci under selective genotyping.

Authors:  Yongqiang Tang
Journal:  Genet Epidemiol       Date:  2010-07       Impact factor: 2.135

6.  Linkage disequilibrium mapping of quantitative-trait Loci by selective genotyping.

Authors:  Zehua Chen; Gang Zheng; Kaushik Ghosh; Zhaohai Li
Journal:  Am J Hum Genet       Date:  2005-08-15       Impact factor: 11.025

7.  Efficient association mapping of quantitative trait loci with selective genotyping.

Authors:  B E Huang; D Y Lin
Journal:  Am J Hum Genet       Date:  2007-01-30       Impact factor: 11.025

8.  Novel sib pair selection strategy increases power in quantitative association analysis.

Authors:  Johnny S H Kwan; Stacey S Cherny; Annie W C Kung; Pak C Sham
Journal:  Behav Genet       Date:  2009-07-01       Impact factor: 2.805

9.  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

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

Authors:  Chao Xing; Guan Xing
Journal:  BMC Proc       Date:  2009-12-15
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  3 in total

1.  Uncovering Local Trends in Genetic Effects of Multiple Phenotypes via Functional Linear Models.

Authors:  Olga A Vsevolozhskaya; Dmitri V Zaykin; David A Barondess; Xiaoren Tong; Sneha Jadhav; Qing Lu
Journal:  Genet Epidemiol       Date:  2016-04       Impact factor: 2.135

2.  Using genetic prediction from known complex disease Loci to guide the design of next-generation sequencing experiments.

Authors:  Luke Jostins; Adam P Levine; Jeffrey C Barrett
Journal:  PLoS One       Date:  2013-10-18       Impact factor: 3.240

3.  DNA methylation at the Igf2/H19 imprinting control region is associated with cerebellum mass in outbred mice.

Authors:  Ruth Pidsley; Cathy Fernandes; Joana Viana; Jose L Paya-Cano; Lin Liu; Rebecca G Smith; Leonard C Schalkwyk; Jonathan Mill
Journal:  Mol Brain       Date:  2012-12-06       Impact factor: 4.041
  3 in total

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