國家衛生研究院 NHRI:Item 3990099045/11671
English  |  正體中文  |  简体中文  |  全文笔数/总笔数 : 12145/12927 (94%)
造访人次 : 915252      在线人数 : 1329
RC Version 6.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
搜寻范围 查询小技巧：
  • 您可在西文检索词汇前后加上"双引号"，以获取较精准的检索结果
  • 若欲以作者姓名搜寻，建议至进阶搜寻限定作者字段，可获得较完整数据
    •  进阶搜寻
    主页 ‧ 登入 ‧ 上传 ‧ 说明 ‧ 关于NHRI ‧ 管理 到手机版


    jsp.display-item.identifier=請使用永久網址來引用或連結此文件: http://ir.nhri.org.tw/handle/3990099045/11671


    题名: Genome-wide gene-environment interaction analysis using set-based association tests
    作者: Lin, WY;Huang, CC;Liu, YL;Tsai, SJ;Kuo, PH
    贡献者: Center for Neuropsychiatric Research
    摘要: The identification of gene-environment interactions (G x E) may eventually guide health-related choices and medical interventions for complex diseases. More powerful methods must be developed to identify G x E. The "adaptive combination of Bayes factors method" (ADABF) has been proposed as a powerful genome-wide polygenic approach to detect G x E. In this work, we evaluate its performance when serving as a gene-based G x E test. We compare ADABF with six tests including the "Set-Based gene-EnviRonment InterAction test" (SBERIA), "gene-environment set association test" (GESAT), etc. With extensive simulations, SBERIA and ADABF are found to be more powerful than other G x E tests. However, SBERIA suffers from a power loss when 50% SNP main effects are in the same direction with the SNP x E interaction effects while 50% are in the opposite direction. We further applied these seven G x E methods to the Taiwan Biobank data to explore genex alcohol interactions on blood pressure levels. The ADAMTS7P1 gene at chromosome 15q25.2 was detected to interact with alcohol consumption on diastolic blood pressure (p = 9.5 x 10(-7), according to the GESAT test). At this gene, the P-values provided by other six tests all reached the suggestive significance level (p < 5 x 10(-5)). Regarding the computation time required for a genome-wide G x E analysis, SBERIA is the fastest method, followed by ADABF. Considering the validity, power performance, robustness, and computation time, ADABF is recommended for genome-wide G x E analyses.
    日期: 2019-01
    關聯: Frontiers in Genetics. 2019 Jan;9:Article number 715.
    Link to: http://dx.doi.org/10.3389/fgene.2018.00715
    JIF/Ranking 2023: http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=NHRI&SrcApp=NHRI_IR&KeyISSN=1664-8021&DestApp=IC2JCR
    Cited Times(WOS): https://www.webofscience.com/wos/woscc/full-record/WOS:000455668700001
    Cited Times(Scopus): https://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85064197309
    显示于类别:[劉玉麗] 期刊論文

    文件中的档案:

    档案 大小格式浏览次数
    ISI000455668700001.pdf3251KbAdobe PDF381检视/开启


    在NHRI中所有的数据项都受到原著作权保护.

    TAIR相关文章

    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - 回馈