Literature DB >> 2753353

A more powerful robust sib-pair test of linkage for quantitative traits.

C I Amos1, R C Elston, A F Wilson, J E Bailey-Wilson.   

Abstract

A more powerful robust test for linkage is developed from the methodology of Haseman and Elston [Behav Genet 2(1):3-19, 1972]. This new robust test uses weighted least-squares (WLS) methods to detect linkage between a quantitative trait and a polymorphic marker. For comparison, the characteristics of a test for linakge that uses known trait genotypes for the parents are also studied. Sample sizes needed to detect linkage, calculated using asymptotic results, are compared for 1) the usual Haseman-Elston method, 2) the WLS method, and 3) the method that uses parental trait genotype data. The WLS method needs at most twice the number of sib pairs as does the method that uses information on the trait genotypes of the parents. The small sample properties of the Haseman-Elston (H-E) and WLS tests are investigated by simulation. The power calculations for the H-E method are found to be accurate. The power of the WLS method is overestimated when fewer than 300 sib pairs are studied, but the WLS method is nonetheless more powerful than the usual H-E method. In samples of fewer than 300 sib pairs, the WLS test tends to be anticonservative. Treating all sib pairs from sibships of size 3 or 5 as independent does not increase the significance of the tests.

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Year:  1989        PMID: 2753353     DOI: 10.1002/gepi.1370060306

Source DB:  PubMed          Journal:  Genet Epidemiol        ISSN: 0741-0395            Impact factor:   2.135


  34 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.  Equivalence of single- and multilocus markers: power to detect linkage with composite markers derived from biallelic loci.

Authors:  A F Wilson; A J Sorant
Journal:  Am J Hum Genet       Date:  2000-04-04       Impact factor: 11.025

3.  A two-stage variable-stringency semiparametric method for mapping quantitative-trait loci with the use of genomewide-scan data on sib pairs.

Authors:  S Ghosh; P P Majumder
Journal:  Am J Hum Genet       Date:  2000-03       Impact factor: 11.025

4.  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

5.  Power of sib-pair and sib-trio linkage analysis with assortative mating and multiple disease loci.

Authors:  W M Sribney; M Swift
Journal:  Am J Hum Genet       Date:  1992-10       Impact factor: 11.025

6.  Comparison of a multipoint identity-by-descent method with parametric multipoint linkage analysis for mapping quantitative traits.

Authors:  D E Goldgar; R S Oniki
Journal:  Am J Hum Genet       Date:  1992-03       Impact factor: 11.025

7.  Multipoint analysis of human quantitative genetic variation.

Authors:  D E Goldgar
Journal:  Am J Hum Genet       Date:  1990-12       Impact factor: 11.025

8.  Use of the robust sib-pair method to screen for single-locus, multiple-locus, and pleiotropic effects: application to traits related to hypertension.

Authors:  A F Wilson; R C Elston; L D Tran; R M Siervogel
Journal:  Am J Hum Genet       Date:  1991-05       Impact factor: 11.025

9.  Combined linkage and association mapping of quantitative trait loci by multiple markers.

Authors:  Jeesun Jung; Ruzong Fan; Lei Jin
Journal:  Genetics       Date:  2005-03-31       Impact factor: 4.562

10.  Weighting affected sib pairs by marker informativity.

Authors:  Daniel Franke; Andreas Ziegler
Journal:  Am J Hum Genet       Date:  2005-06-28       Impact factor: 11.025

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