Literature DB >> 11793672

A bivariate Haseman-Elston method and application to the analysis of asthma-related phenotypes on chromosome 5q.

A Ziegler1, I R Böddeker, F Geller.   

Abstract

We propose a bivariate combination of different Haseman-Elston (HE) methods for model free linkage analysis of quantitative traits. Adjustments for correlations of phenotypes and sibship sizes > 2 are performed using generalized estimating equations (GEE). All calculations are carried out with freely available software packages. We illustrate the application of standard HE methods, the unified HE method, and our novel approach to asthma-associated quantitative traits from the COAG-Perth data set [Palmer et al., 1998, Am J Respir Crit Care Med 158:1825-30]. Our multipoint analyses provide evidence for linkage between log IgE levels adjusted for age, gender and antigen-specific IgE titers. Our results are consistent with previous findings that suggest the existence of loci regulating asthma-associated quantitative traits in the 5q31-33 chromosomal region. Simulation studies are required to compare the power of our novel bivariate HE with other HE approaches and the variance component method.

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Year:  2001        PMID: 11793672     DOI: 10.1002/gepi.2001.21.s1.s216

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


  2 in total

1.  An efficient method to handle the 'large p, small n' problem for genomewide association studies using Haseman-Elston regression.

Authors:  Bujun Mei; Zhihua Wang
Journal:  J Genet       Date:  2016-12       Impact factor: 1.166

2.  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

  2 in total

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