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PMID: 14691957 Published · ppublish English Journal Article Research Support, U.S. Gov't, P.H.S.

Family-based tests for associating haplotypes with general phenotype data: application to asthma genetics.

Genetic epidemiology ·Vol. 26 ·No. 1 ·2004-01-00 ·Pages 61-9

Horvath S, Xu X, Lake SL, Silverman EK, Weiss ST, Laird NM

Abstract

We provide a general purpose family-based testing strategy for associating disease phenotypes with haplotypes when phase may be ambiguous and parental genotype data may be missing. These tests for linkage and association can be used in candidate gene studies with tightly linked markers. Our proposed weighted conditional approach extends the method described in Rabinowitz and Laird to multiple markers. It is attractive because it provides haplotype tests for family-based studies that are efficient and robust to population admixture, phenotype distribution specification, and ascertainment based on phenotypes. It can handle missing parental genotypes and/or missing phase in both offspring and parents. It yields either haplotype-specific (univariate) tests or multi-haplotype (global) tests. This extension has been implemented in the freely available software haplotype FBAT. We used the haplotype FBAT program to test for associations between asthma phenotypes and single nucleotide polymorphisms (SNPs) in the beta-2 adrenergic receptor gene. Whereas no single SNP showed significant association with asthma diagnosis or bronchodilator responsiveness (quantitative trait), a haplotype-based global test found a highly significant association with asthma diagnosis (P value <0.00005) and the measure of bronchodilator responsiveness (P value =0.016).

MeSH Terms
Algorithms Asthma/genetics Family Family Health Gene Frequency Haplotypes Humans Phenotype Polymorphism, Single Nucleotide Receptors, Adrenergic, beta/genetics
Chemicals
Receptors, Adrenergic, beta
Authors & Affiliations
6 authors, click to expand affiliations / ORCID
Horvath Steve
Department of Human Genetics, David Geffen School of Medicine, University of California, Los Angeles, California 90095, USA. shorvath@mednet.ucla.edu
Xu Xin
Lake Stephen L
Silverman Edwin K
Weiss Scott T
Laird Nan M
Article Info
Journal
Genetic epidemiology
Abbr.
Genet Epidemiol
ISSN
0741-0395
Published
2004-01-00
Pages
61-9
Language
English
Region
United States
NLM ID
8411723
Subset
IM
Grants
NHLBI NIH HHS · N01-HR-16049 · United States
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