Literature DB >> 11791211

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

K Wang1, J Huang.   

Abstract

The Haseman-Elston method is widely used for the mapping of quantitative-trait loci. However, this method does not use all the information in the data, because it only considers the sib-pair trait-value difference. In addition, the Haseman-Elston method was developed for independent sib pairs; its generalization to nonindependent sib pairs is not straightforward. Here we introduce a score test statistic derived from a normal likelihood based on multiplex sibship data, conditional on identical-by-descent sharing statuses. This score test is asymptotically equivalent to the corresponding likelihood-ratio test, but it is much easier to implement. Because the proposed test uses all of the trait values, it makes more efficient use of the data than does the Haseman-Elston method. The proposed test is naturally applicable to sibships of arbitrary size. The finite-sample properties of the proposed score statistic are evaluated via simulations.

Mesh:

Year:  2001        PMID: 11791211      PMCID: PMC384916          DOI: 10.1086/338659

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


  24 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.  Haseman and Elston revisited.

Authors:  R C Elston; S Buxbaum; K B Jacobs; J M Olson
Journal:  Genet Epidemiol       Date:  2000-07       Impact factor: 2.135

3.  Variance-Components QTL linkage analysis of selected and non-normal samples: conditioning on trait values.

Authors:  P C Sham; J H Zhao; S S Cherny; J K Hewitt
Journal:  Genet Epidemiol       Date:  2000       Impact factor: 2.135

4.  Equivalence between Haseman-Elston and variance-components linkage analyses for sib pairs.

Authors:  P C Sham; S Purcell
Journal:  Am J Hum Genet       Date:  2001-05-14       Impact factor: 11.025

5.  Mapping quantitative trait loci in oligogenic models.

Authors:  H K Tang; D Siegmund
Journal:  Biostatistics       Date:  2001-06       Impact factor: 5.899

6.  Multivariate multipoint linkage analysis of quantitative trait loci.

Authors:  L J Eaves; M C Neale; H Maes
Journal:  Behav Genet       Date:  1996-09       Impact factor: 2.805

7.  The phenotypic difference discards sib-pair QTL linkage information.

Authors:  F A Wright
Journal:  Am J Hum Genet       Date:  1997-03       Impact factor: 11.025

8.  Linkage of multilocus components of variance to polymorphic markers.

Authors:  H K Tiwari; R C Elston
Journal:  Ann Hum Genet       Date:  1997-05       Impact factor: 1.670

9.  Combining extremely concordant sibpairs with extremely discordant sibpairs provides a cost effective way to linkage analysis of quantitative trait loci.

Authors:  C Gu; A Todorov; D C Rao
Journal:  Genet Epidemiol       Date:  1996       Impact factor: 2.135

10.  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

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  20 in total

1.  Powerful regression-based quantitative-trait linkage analysis of general pedigrees.

Authors:  Pak C Sham; Shaun Purcell; Stacey S Cherny; Gonçalo R Abecasis
Journal:  Am J Hum Genet       Date:  2002-07-05       Impact factor: 11.025

2.  Regression-based quantitative-trait-locus mapping in the 21st century.

Authors:  Eleanor Feingold
Journal:  Am J Hum Genet       Date:  2002-08       Impact factor: 11.025

3.  A powerful and robust method for mapping quantitative trait loci in general pedigrees.

Authors:  G Diao; D Y Lin
Journal:  Am J Hum Genet       Date:  2005-05-25       Impact factor: 11.025

4.  Quantitative trait linkage analysis using Gaussian copulas.

Authors:  Mingyao Li; Michael Boehnke; Gonçalo R Abecasis; Peter X-K Song
Journal:  Genetics       Date:  2006-06-04       Impact factor: 4.562

5.  Robust score statistics for QTL linkage analysis.

Authors:  Samsiddhi Bhattacharjee; Chia-Ling Kuo; Nandita Mukhopadhyay; Guy N Brock; Daniel E Weeks; Eleanor Feingold
Journal:  Am J Hum Genet       Date:  2008-02-21       Impact factor: 11.025

6.  Applying novel genome-wide linkage strategies to search for loci influencing type 2 diabetes and adult height in American Samoa.

Authors:  Karolina Aberg; Guangyun Sun; Diane Smelser; Subba Rao Indugula; Hui-Ju Tsai; Matthew S Steele; John Tuitele; Ranjan Deka; Stephen T McGarvey; Daniel E Weeks
Journal:  Hum Biol       Date:  2008-04       Impact factor: 0.553

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

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

Review 8.  Mapping quantitative trait loci in humans: achievements and limitations.

Authors:  Partha P Majumder; Saurabh Ghosh
Journal:  J Clin Invest       Date:  2005-06       Impact factor: 14.808

9.  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

10.  Mapping quantitative traits in unselected families: algorithms and examples.

Authors:  Josée Dupuis; Jianxin Shi; Alisa K Manning; Emelia J Benjamin; James B Meigs; L Adrienne Cupples; David Siegmund
Journal:  Genet Epidemiol       Date:  2009-11       Impact factor: 2.135

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