https://scholars.lib.ntu.edu.tw/handle/123456789/521884
標題: | Testing for Sufficient-Cause Gene-Environment Interactions under the Assumptions of Independence and Hardy-Weinberg Equilibrium | 作者: | WEN-CHUNG LEE | 公開日期: | 2015 | 出版社: | Oxford University Press | 卷: | 182 | 期: | 1 | 起(迄)頁: | 9-16 | 來源出版物: | American Journal of Epidemiology | 摘要: | To detect gene-environment interactions, a logistic regression model is typically fitted to a set of case-control data, and the focus is on testing of the cross-product terms (gene × environment) in the model. A significant result is indicative of a gene-environment interaction under a multiplicative model for disease odds. Based on the sufficient-cause model for rates, in this paper we put forward a general approach to testing for sufficient-cause gene-environment interactions in case-control studies. The proposed tests can be tailored to detect a particular type of sufficient-cause gene-environment interaction with greater sensitivity. These tests include testing for autosomal dominant, autosomal recessive, and gene-dosage interactions. The tests can also detect trend interactions (e.g., a larger gene-environment interaction with a higher level of environmental exposure) and threshold interactions (e.g., gene-environment interaction occurs only when environmental exposure reaches a certain threshold level). Two assumptions are necessary for the validity of the tests: 1) the rare-disease assumption and 2) the no-redundancy assumption. Another 2 assumptions are optional but, if imposed correctly, can boost the statistical powers of the tests: 3) the gene-environment independence assumption and 4) the Hardy-Weinberg equilibrium assumption. SAS code (SAS Institute, Inc., Cary, North Carolina) for implementing the methods is provided. ? 2015 The Author 2015. Published by Oxford University Press on behalf of the Johns Hopkins Bloomberg School of Public Health. All rights reserved. |
URI: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-84936760008&doi=10.1093%2faje%2fkwv030&partnerID=40&md5=b9ab8db8625f35ad70b1ee067606ccf3 https://scholars.lib.ntu.edu.tw/handle/123456789/521884 |
ISSN: | 0002-9262 | DOI: | 10.1093/aje/kwv030 | SDG/關鍵字: | cytochrome P450 1A1; environmental factor; epidemiology; gene expression; genotype-environment interaction; logistics; phenotype; regression analysis; testing method; allele; Article; autosomal dominant inheritance; autosomal recessive inheritance; case control study; comparative study; controlled study; environmental exposure; gene dosage; gene frequency; gene interaction; genetic model; genetic polymorphism; genotype environment interaction; Hardy Weinberg Equilibrium; human; major clinical study; rare disease; simulation; smoking; validity; computer simulation; diseases; epidemiology; genetics; population genetics; North Carolina; United States; Case-Control Studies; Computer Simulation; Disease; Epidemiology; Gene-Environment Interaction; Genetics, Population; Humans |
顯示於: | 流行病學與預防醫學研究所 |
在 IR 系統中的文件,除了特別指名其著作權條款之外,均受到著作權保護,並且保留所有的權利。