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On combining triads and unrelated subjects data in candidate gene studies: an application to data on testicular cancer.

Hsu, Li and Starr, Jacqueline R and Zheng, Yingye and Schwartz, Stephen M (2009) On combining triads and unrelated subjects data in candidate gene studies: an application to data on testicular cancer. Human heredity, 67 (2). pp. 88-103. ISSN 1423-0062

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Abstract

Combining data collected from different sources is a cost-effective and time-efficient approach for enhancing the statistical efficiency in estimating weak-to-modest genetic effects or gene-gene or gene-environment interactions. However, combining data across studies becomes complicated when data are collected under different study designs, such as family-based and unrelated individual-based (e.g., population-based case-control design). In this paper, we describe a general method that permits the joint estimation of effects on disease risk of genes, environmental factors, and gene-gene/gene-environment interactions under a hybrid design that includes cases, parents of cases, and unrelated individuals. We provide both asymptotic theory and statistical inference. Extensive simulation experiments demonstrate that the proposed estimation and inferential methods perform well in realistic settings. We illustrate the method by an application to a study of testicular cancer.

Item Type: Article
Additional Information: This article is also freely available at the journal website as a sponsored article.
DOI: 10.1159/000179557
PubMed ID: 19077426
NIHMSID: NIHMS142957
PMCID: PMC2763779
Grant Numbers: R01 CA085914, P01 CA053996, R01 AG014358, P30 ES007033
Keywords or MeSH Headings: Computer Simulation; Environment; Genetic Predisposition to Disease/genetics; Genome-Wide Association Study/methods; Humans; Male; Models, Genetic; Research Design; Testicular Neoplasms/genetics;
Depositing User: Library Staff
Date Deposited: 08 Dec 2009 23:15
Last Modified: 14 Feb 2012 14:42
URI: http://authors.fhcrc.org/id/eprint/327

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