Literature DB >> 7777857

Extreme discordant sib pairs for mapping quantitative trait loci in humans.

N Risch1, H Zhang.   

Abstract

Analysis of differences between siblings (sib pair analysis) is a standard method of genetic linkage analysis for mapping quantitative trait loci, such as those contributing to hypertension and obesity, in humans. In traditional designs, pairs are selected at random or with one sib having an extreme trait value. The majority of such pairs provide little power to detect linkage; only pairs that are concordant for high values, low values, or extremely discordant pairs (for example, one in the top 10 percent and the other in the bottom 10 percent of the distribution) provide substantial power. Focus on discordant pairs can reduce the amount of genotyping necessary over conventional designs by 10- to 40-fold.

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Year:  1995        PMID: 7777857     DOI: 10.1126/science.7777857

Source DB:  PubMed          Journal:  Science        ISSN: 0036-8075            Impact factor:   47.728


  126 in total

1.  Transformation of sib-pair values for the Haseman-Elston method.

Authors:  D Wang; S Lin; R Cheng; X Gao; F A Wright
Journal:  Am J Hum Genet       Date:  2001-04-17       Impact factor: 11.025

2.  Testing the robustness of the likelihood-ratio test in a variance-component quantitative-trait loci-mapping procedure.

Authors:  D B Allison; M C Neale; R Zannolli; N J Schork; C I Amos; J Blangero
Journal:  Am J Hum Genet       Date:  1999-08       Impact factor: 11.025

3.  A multipoint method for detecting genotyping errors and mutations in sibling-pair linkage data.

Authors:  J A Douglas; M Boehnke; K Lange
Journal:  Am J Hum Genet       Date:  2000-03-28       Impact factor: 11.025

4.  Power of linkage versus association analysis of quantitative traits, by use of variance-components models, for sibship data.

Authors:  P C Sham; S S Cherny; S Purcell; J K Hewitt
Journal:  Am J Hum Genet       Date:  2000-04-12       Impact factor: 11.025

5.  Composite statistics for QTL mapping with moderately discordant sibling pairs.

Authors:  W F Forrest; E Feingold
Journal:  Am J Hum Genet       Date:  2000-04-07       Impact factor: 11.025

6.  Sampling strategies for model free linkage analyses of quantitative traits: implications for sib pair studies of reading and spelling disabilities to minimize the total study cost.

Authors:  A Ziegler
Journal:  Eur Child Adolesc Psychiatry       Date:  1999       Impact factor: 4.785

7.  A score-statistic approach for the mapping of quantitative-trait loci with sibships of arbitrary size.

Authors:  K Wang; J Huang
Journal:  Am J Hum Genet       Date:  2001-12-27       Impact factor: 11.025

8.  A genomewide linkage scan for quantitative-trait loci for obesity phenotypes.

Authors:  Hong-Wen Deng; Hongyi Deng; Yong-Jun Liu; Yao-Zhong Liu; Fu-Hua Xu; Hui Shen; Theresa Conway; Jin-Long Li; Qing-Yang Huang; K M Davies; Robert R Recker
Journal:  Am J Hum Genet       Date:  2002-03-28       Impact factor: 11.025

9.  Considerations on study designs using the extreme sibpairs methods under multilocus oligogenic models.

Authors:  Chi Gu; D C Rao
Journal:  Genetics       Date:  2002-04       Impact factor: 4.562

10.  Bias in estimates of quantitative-trait-locus effect in genome scans: demonstration of the phenomenon and a method-of-moments procedure for reducing bias.

Authors:  David B Allison; Jose R Fernandez; Moonseong Heo; Shankuan Zhu; Carol Etzel; T Mark Beasley; Christopher I Amos
Journal:  Am J Hum Genet       Date:  2002-02-08       Impact factor: 11.025

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