Literature DB >> 8644748

Mapping quantitative trait loci with extreme discordant sib pairs: sampling considerations.

N J Risch1, H Zhang.   

Abstract

Elsewhere we have proposed the use of extreme discordant sib pairs (EDSPs) for mapping quantitative trait loci in humans. Here we present sample sizes necessary to achieve a given level of power with this study design, as well as the number of sibs that need to be screened to obtain the required sample. Further, we present simple formulas for adjusting sample sizes to account for variable significance levels and power, as well as the density and informativeness of linkage markers in a multipoint sib-pair analysis. We conclude that with EDSPs, the most powerful study design, the smallest genetic effect detectable with a realistic sample size is approximately 10% of the variance of the trait.

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Mesh:

Year:  1996        PMID: 8644748      PMCID: PMC1914664     

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


  6 in total

1.  Linkage analysis of quantitative traits: increased power by using selected samples.

Authors:  G Carey; J Williamson
Journal:  Am J Hum Genet       Date:  1991-10       Impact factor: 11.025

2.  Assessing the role of HLA-linked and unlinked determinants of disease.

Authors:  N Risch
Journal:  Am J Hum Genet       Date:  1987-01       Impact factor: 11.025

3.  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

4.  Asymptotic properties of affected-sib-pair linkage analysis.

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

5.  Linkage analysis of "necessary" disease loci versus "susceptibility" loci.

Authors:  D A Greenberg
Journal:  Am J Hum Genet       Date:  1993-01       Impact factor: 11.025

6.  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

  6 in total
  35 in total

1.  A test of transmission/disequilibrium for quantitative traits in pedigree data, by multiple regression.

Authors:  V George; H K Tiwari; X Zhu; R C Elston
Journal:  Am J Hum Genet       Date:  1999-07       Impact factor: 11.025

2.  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

3.  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

4.  Nonpaternity in linkage studies of extremely discordant sib pairs.

Authors:  Michael C Neale; Benjamin M Neale; Patrick F Sullivan
Journal:  Am J Hum Genet       Date:  2001-12-14       Impact factor: 11.025

5.  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

6.  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

7.  Linkage analysis of extremely discordant and concordant sibling pairs identifies quantitative-trait loci that influence variation in the human personality trait neuroticism.

Authors:  Jan Fullerton; Matthew Cubin; Hemant Tiwari; Chenxi Wang; Amarjit Bomhra; Stuart Davidson; Sue Miller; Christopher Fairburn; Guy Goodwin; Michael C Neale; Simon Fiddy; Richard Mott; David B Allison; Jonathan Flint
Journal:  Am J Hum Genet       Date:  2003-02-20       Impact factor: 11.025

8.  Power and design considerations for a general class of family-based association tests: quantitative traits.

Authors:  Christoph Lange; Dawn L DeMeo; Nan M Laird
Journal:  Am J Hum Genet       Date:  2002-11-21       Impact factor: 11.025

9.  Comparison of genome screens for two independent cohorts provides replication of suggestive linkage of bone mineral density to 3p21 and 1p36.

Authors:  S G Wilson; P W Reed; A Bansal; M Chiano; M Lindersson; M Langdown; R L Prince; D Thompson; E Thompson; M Bailey; P W Kleyn; P Sambrook; M M Shi; T D Spector
Journal:  Am J Hum Genet       Date:  2002-12-11       Impact factor: 11.025

10.  Recent advances in human quantitative-trait-locus mapping: comparison of methods for discordant sibling pairs.

Authors:  Jin P Szatkiewicz; Karen T Cuenco; Eleanor Feingold
Journal:  Am J Hum Genet       Date:  2003-09-10       Impact factor: 11.025

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