Literature DB >> 11309688

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

D Wang1, S Lin, R Cheng, X Gao, F A Wright.   

Abstract

The squared sib-pair phenotype difference (SQD) has been used as a dependent variable in the Haseman-Elston (H-E) regression quantitative-trait locus (QTL) linkage method, but it has been shown that the SQD does not make full use of linkage information. In this study, we examine the efficiency of SQD in H-E regression compared to other proposed functions of the sib-pair phenotypes. A new function of sib-pair phenotypes, the product of pair values corrected with family mean (PCF), is shown to have desirable properties in many realistic situations. Consistent results were obtained using a combination of large-sample analytic approximations, simulation, and analyses of quantitative-trait data from Genetic Analysis Workshop 10. The advantages of PCF are further improved in the presence of family-specific effects arising from environmental factors or when additional QTLs influence the trait. All of the phenotype functions are incorporated in our new, freely available linkage-mapping program MULTIGENE 1.0 for the PC environment.

Mesh:

Year:  2001        PMID: 11309688      PMCID: PMC1226104          DOI: 10.1086/320101

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


  18 in total

1.  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

2.  Haseman and Elston revisited: the effects of ascertainment and residual familial correlations on power to detect linkage.

Authors:  L J Palmer; K B Jacobs; R C Elston
Journal:  Genet Epidemiol       Date:  2000-12       Impact factor: 2.135

3.  A unified Haseman-Elston method for testing linkage with quantitative traits.

Authors:  X Xu; S Weiss; X Xu; L J Wei
Journal:  Am J Hum Genet       Date:  2000-08-28       Impact factor: 11.025

4.  Comparison of variance components and sibpair-based approaches to quantitative trait linkage analysis in unselected samples.

Authors:  J T Williams; J Blangero
Journal:  Genet Epidemiol       Date:  1999       Impact factor: 2.135

5.  GAW10: simulated family data for a common oligogenic disease with quantitative risk factors.

Authors:  J W MacCluer; J Blangero; T D Dyer; M C Speer
Journal:  Genet Epidemiol       Date:  1997       Impact factor: 2.135

6.  Multipoint oligogenic linkage analysis of quantitative traits.

Authors:  J Blangero; L Almasy
Journal:  Genet Epidemiol       Date:  1997       Impact factor: 2.135

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

Authors:  C I Amos; R C Elston; A F Wilson; J E Bailey-Wilson
Journal:  Genet Epidemiol       Date:  1989       Impact factor: 2.135

8.  A sib-pair approach to interval mapping of quantitative trait loci.

Authors:  D W Fulker; L R Cardon
Journal:  Am J Hum Genet       Date:  1994-06       Impact factor: 11.025

9.  Robust variance-components approach for assessing genetic linkage in pedigrees.

Authors:  C I Amos
Journal:  Am J Hum Genet       Date:  1994-03       Impact factor: 11.025

10.  The investigation of linkage between a quantitative trait and a marker locus.

Authors:  J K Haseman; R C Elston
Journal:  Behav Genet       Date:  1972-03       Impact factor: 2.805

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  3 in total

1.  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

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.  Comparison of Haseman-Elston regression analyses using single, summary, and longitudinal measures of systolic blood pressure.

Authors:  Lucia Mirea; Shelley B Bull; James Stafford
Journal:  BMC Genet       Date:  2003-12-31       Impact factor: 2.797

  3 in total

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