https://scholars.lib.ntu.edu.tw/handle/123456789/493744
標題: | Polygenic approaches to detect gene-environment interactions when external information is unavailable | 作者: | WAN-YU LIN Huang, Ching-Chieh Liu, Yu-Li Tsai, Shih-Jen PO-HSIU KUO |
關鍵字: | Taiwan Biobank; diastolic blood pressure; gene–alcohol interaction; gene–smoking interaction; multiple-testing correction; systolic blood pressure | 公開日期: | 2019 | 出版社: | OXFORD UNIV PRESS | 卷: | 20 | 期: | 6 | 起(迄)頁: | 2236 | 來源出版物: | Briefings in bioinformatics | 摘要: | The exploration of 'gene-environment interactions' (G × E) is important for disease prediction and prevention. The scientific community usually uses external information to construct a genetic risk score (GRS), and then tests the interaction between this GRS and an environmental factor (E). However, external genome-wide association studies (GWAS) are not always available, especially for non-Caucasian ethnicity. Although GRS is an analysis tool to detect G × E in GWAS, its performance remains unclear when there is no external information. Our 'adaptive combination of Bayes factors method' (ADABF) can aggregate G × E signals and test the significance of G × E by a polygenic test. We here explore a powerful polygenic approach for G × E when external information is unavailable, by comparing our ADABF with the GRS based on marginal effects of SNPs (GRS-M) and GRS based on SNP × E interactions (GRS-I). ADABF is the most powerful method in the absence of SNP main effects, whereas GRS-M is generally the best test when single-nucleotide polymorphisms main effects exist. GRS-I is the least powerful test due to its data-splitting strategy. Furthermore, we apply these methods to Taiwan Biobank data. ADABF and GRS-M identified gene × alcohol and gene × smoking interactions on blood pressure (BP). BP-increasing alleles elevate more BP in drinkers (smokers) than in nondrinkers (nonsmokers). This work provides guidance to choose a polygenic approach to detect G × E when external information is unavailable. |
URI: | https://scholars.lib.ntu.edu.tw/handle/123456789/493744 | ISSN: | 1467-5463 | DOI: | 10.1093/bib/bby086 | SDG/關鍵字: | blood pressure; drinking behavior; genotype environment interaction; human; single nucleotide polymorphism; smoking; Alcohol Drinking; Blood Pressure; Gene-Environment Interaction; Humans; Polymorphism, Single Nucleotide; Smoking |
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。