Testing association between disease and multiple SNPs in a candidate gene.

Testing association between disease and multiple SNPs in a candidate gene. Research Abstract Details 

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Testing association between disease and multiple SNPs in a candidate gene. Abstract Text:

W James Gauderman,Cassandra Murcray,Frank Gilliland,David V Conti,

Current technology allows investigators to obtain genotypes at multiple single nucleotide polymorphism (SNPs) within a candidate locus. Many approaches have been developed for using such data in a test of association with disease, ranging from genotype-based to haplotype-based tests. We develop a new approach that involves two basic steps. In the first step, we use principal components (PCs) analysis to compute combinations of SNPs that capture the underlying correlation structure within the locus. The second step uses the PCs directly in a test of disease association. The PC approach captures linkage-disequilibrium information within a candidate region, but does not require the difficult computing implicit in a haplotype analysis. We demonstrate by simulation that the PC approach is typically as or more powerful than both genotype- and haplotype-based approaches. We also analyze association between respiratory symptoms in children and four SNPs in the Glutathione-S-Transferase P1 locus, based on data from the Children's Health Study. We observe stronger evidence of an association using the PC approach (p = 0.044) than using either a genotype-based (p = 0.13) or haplotype-based (p = 0.052) approach.

Testing association between disease and multiple SNPs in a candidate gene. Publishing Authors By Initials

WJ Gauderman,C Murcray,F Gilliland,DV Conti,

For similar principal component analysis research abstracts see: principal component analysis research

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Testing association between disease and multiple SNPs in a candidate gene. Journal Published:

PUBLICATION TYPE: Research Support, U.S. Gov't,

Journal: Genetic epidemiology

VOLUME: 31

Page Numbers: 383-95

Journal Abbreviation: Genet. Epidemiol.

ISSN: 0741-0395

DAY: 3

MONTH: Jul

YEAR: 2007

Testing association between disease and multiple SNPs in a candidate gene. Information

Number of References:

LANGUAGE: eng

NlmUniqueID: 8411723

Testing association between disease and multiple SNPs in a candidate gene. Keywords Mesh Terms:

KEYWORDS: Principal Component Analysis

MESH TERMS: genetics

Chemical & Substance for Abstract: Testing association between disease and multiple SNPs in a candidate gene. Information

Substance Name: Glutathione S-Transferase pi

Registry Number: EC 2.5.1.18

Grant and Affiliation Information for Testing association between disease and multiple SNPs in a candidate gene.

AFFILIATION: Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California 90033, USA. jimg@usc.edu

Country: United States

AGENCY: United States NHLBI

GRANT: HL061768

ACRONYM: HL

MEDLINETA: Genet Epidemiol

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