國家衛生研究院 NHRI:Item 3990099045/3972
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    题名: Detecting gene-environment interactions in genome-wide association data
    作者: Engelman, CD;Baurley, JW;Chiu, YF;Joubert, BR;Lewinger, JP;Maenner, MJ;Murcray, CE;Shi, G;James Gauderman, W
    贡献者: Division of Biostatistics and Bioinformatics
    摘要: Despite the importance of gene-environment (G x E) interactions in the etiology of common diseases, little work has been done to develop methods for detecting these types of interactions in genome-wide association study data. This was the focus of Genetic Analysis Workshop 16 Group 10 contributions, which introduced a variety of new methods for the detection of G x E interactions in both case-control and family-based data using both cross-sectional and longitudinal study designs. Many of these contributions detected significant G x E interactions. Although these interactions have not yet been confirmed, the results suggest the importance of testing for interactions. Issues of sample size, quantifying the environmental exposure, longitudinal data analysis, family-based analysis, selection of the most powerful analysis method, population stratification, and computational expense with respect to testing G x E interactions are discussed.
    日期: 2009
    關聯: Genetic Epidemiology. 2009;33(Suppl.1):S68-S73.
    Link to: http://dx.doi.org/10.1002/gepi.20475
    JIF/Ranking 2023: http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=NHRI&SrcApp=NHRI_IR&KeyISSN=0741-0395&DestApp=IC2JCR
    Cited Times(WOS): https://www.webofscience.com/wos/woscc/full-record/WOS:000272540700012
    Cited Times(Scopus): http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=71249094269
    显示于类别:[邱燕楓] 會議論文/會議摘要

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