Please use this identifier to cite or link to this item:
http://hdl.handle.net/2445/126563
Title: | Natural and Orthogonal Interaction framework for modeling gene-environment interactions with application to lung cancer |
Author: | Ma, Jianzhong Xiao, Feifei Xiong, Momiao Andrew, Angeline S. Brenner, Hermann Duell, Eric J. Haugen, Aage Hoggart, Clive Hung, Rayjean J. Lazarus, Philip Liu, Changlu Matsuo, Keitaro Mayordomo, Jose Ignacio Schwartz, Ann G. Staratschek-Jox, Andrea Wichmann, H.-Erich Yang, Ping Amos, Christopher I. |
Keywords: | Càncer de pulmó Interacció cel·lular Lung cancer Cell interaction |
Issue Date: | 2012 |
Publisher: | Karger |
Abstract: | Objectives: We aimed at extending the Natural and Orthogonal Interaction (NOIA) framework, developed for modeling gene-gene interactions in the analysis of quantitative traits, to allow for reduced genetic models, dichotomous traits, and gene-environment interactions. We evaluate the performance of the NOIA statistical models using simulated data and lung cancer data. Methods: The NOIA statistical models are developed for additive, dominant, and recessive genetic models as well as for a binary environmental exposure. Using the Kronecker product rule, a NOIA statistical model is built to model gene-environment interactions. By treating the genotypic values as the logarithm of odds, the NOIA statistical models are extended to the analysis of case-control data. Results: Our simulations showed that power for testing associations while allowing for interaction using the NOIA statistical model is much higher than using functional models for most of the scenarios we simulated. When applied to lung cancer data, much smaller p values were obtained using the NOIA statistical model for either the main effects or the SNP-smoking interactions for some of the SNPs tested. Conclusion: The NOIA statistical models are usually more powerful than the functional models in detecting main effects and interaction effects for both quantitative traits and binary traits. Copyright (C) 2012 S. Karger AG, Basel |
Note: | Versió postprint del document publicat a: https://doi.org/10.1159/000339906 |
It is part of: | Human Heredity, 2012, vol. 73, num. 4, p. 185-194 |
URI: | http://hdl.handle.net/2445/126563 |
Related resource: | https://doi.org/10.1159/000339906 |
Appears in Collections: | Articles publicats en revistes (Institut d'lnvestigació Biomèdica de Bellvitge (IDIBELL)) |
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