Literature DB >> 8808613

Mapping quantitative-trait loci in humans by use of extreme concordant sib pairs: selected sampling by parental phenotypes.

H Zhang1, N Risch.   

Abstract

In two previous articles, we have considered sample sizes required to detect linkage for mapping quantitative-trait loci in humans, using extreme discordant sib pairs. Here, we examine further the use of extreme concordant sib pairs but consider the effect of parents' phenotypes. Sample sizes necessary to obtain a power of 80% with concordant sib pairs at a significance level of .0001 are given, stratified by parental phenotypes. When there is no residual correlation between sibs, the parental phenotypes have little impact on the sample sizes. When residual correlations between sibs exist, we show, however, that power can be considerably reduced by including extreme sib pairs when the parents also have similarly extreme values. Thus, we recommend the exclusion of such pairs from linkage studies. This recommendation reduces the required sample sizes by 3- to 28-fold. The degree of saving in the required sample sizes varies among different models and allele frequencies. The reduction is most dramatic (a 28-fold reduction) for a rare recessive gene.

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Year:  1996        PMID: 8808613      PMCID: PMC1914798     

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


  2 in total

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

Authors:  N Risch; H Zhang
Journal:  Science       Date:  1995-06-16       Impact factor: 47.728

2.  Locating human quantitative trait loci: guidelines for the selection of sibling pairs for genotyping.

Authors:  L Eaves; J Meyer
Journal:  Behav Genet       Date:  1994-09       Impact factor: 2.805

  2 in total
  11 in total

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Authors:  Mark L Johnson
Journal:  Clin Rev Allergy Immunol       Date:  2002-02       Impact factor: 8.667

2.  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

Review 3.  Genetic epidemiological approaches in the study of risk factors for cardiovascular disease.

Authors:  Anastasia Iliadou; Harold Snieder
Journal:  Eur J Epidemiol       Date:  2004       Impact factor: 8.082

Review 4.  Autism spectrum and obsessive-compulsive disorders: OC behaviors, phenotypes and genetics.

Authors:  Suma Jacob; Angeli Landeros-Weisenberger; James F Leckman
Journal:  Autism Res       Date:  2009-12       Impact factor: 5.216

5.  A linkage strategy for detection of human quantitative-trait loci. II. Optimization of study designs based on extreme sib pairs and generalized relative risk ratios.

Authors:  C Gu; D C Rao
Journal:  Am J Hum Genet       Date:  1997-07       Impact factor: 11.025

6.  Cost-effective sib-pair designs in the mapping of quantitative-trait loci.

Authors:  H Zhao; H Zhang; J I Rotter
Journal:  Am J Hum Genet       Date:  1997-05       Impact factor: 11.025

Review 7.  Genetics and the pathobiology of ageing.

Authors:  G M Martin
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  1997-12-29       Impact factor: 6.237

8.  Genomewide scan of hoarding in sib pairs in which both sibs have Gilles de la Tourette syndrome.

Authors:  Heping Zhang; James F Leckman; David L Pauls; Chin-Pei Tsai; Kenneth K Kidd; M Rosario Campos
Journal:  Am J Hum Genet       Date:  2002-02-11       Impact factor: 11.025

9.  Genetic determinants of exceptional human longevity: insights from the Okinawa Centenarian Study.

Authors:  D Craig Willcox; Bradley J Willcox; Wen-Chi Hsueh; Makoto Suzuki
Journal:  Age (Dordr)       Date:  2006-12-08

Review 10.  Symptom dimensions and subtypes of obsessive-compulsive disorder: a developmental perspective.

Authors:  James F Leckman; Michael H Bloch; Robert A King
Journal:  Dialogues Clin Neurosci       Date:  2009       Impact factor: 5.986

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