دورية أكاديمية

Sub-multiplicative interaction between polygenic risk score and household coal use in relation to lung adenocarcinoma among never-smoking women in Asia.

التفاصيل البيبلوغرافية
العنوان: Sub-multiplicative interaction between polygenic risk score and household coal use in relation to lung adenocarcinoma among never-smoking women in Asia.
المؤلفون: Blechter, Batel, Wong, Jason Y Y, Agnes Hsiung, Chao, Hosgood, H Dean, Yin, Zhihua, Shu, Xiao-Ou, Zhang, Han, Shi, Jianxin, Song, Lei, Song, Minsun, Zheng, Wei, Wang, Zhaoming, Caporaso, Neil, Burdette, Laurie, Yeager, Meredith, Berndt, Sonja I, Teresa Landi, Maria, Chen, Chien-Jen, Chang, Gee-Chen, Hsiao, Chin-Fu, Tsai, Ying-Huang, Chen, Kuan-Yu, Huang, Ming-Shyan, Su, Wu-Chou, Chen, Yuh-Min, Chien, Li-Hsin, Chen, Chung-Hsing, Yang, Tsung-Ying, Wang, Chih-Liang, Hung, Jen-Yu, Lin, Chien-Chung, Perng, Reury-Perng, Chen, Chih-Yi, Chen, Kun-Chieh, Li, Yao-Jen, Yu, Chong-Jen, Chen, Yi-Song, Chen, Ying-Hsiang, Tsai, Fang-Yu, Jie Seow, Wei, Bassig, Bryan A, Hu, Wei, Ji, Bu-Tian, Wu, Wei, Guan, Peng, He, Qincheng, Gao, Yu-Tang, Cai, Qiuyin, Chow, Wong-Ho, Xiang, Yong-Bing, Lin, Dongxin, Wu, Chen, Wu, Yi-Long, Shin, Min-Ho, Hong, Yun-Chul, Matsuo, Keitaro, Chen, Kexin, Pik Wong, Maria, Lu, Daru, Jin, Li, Wang, Jiu-Cun, Seow, Adeline, Wu, Tangchun, Shen, Hongbing, Fraumeni, Joseph F, Yang, Pan-Chyr, Chang, I-Shou, Zhou, Baosen, Chanock, Stephen J, Rothman, Nathaniel, Chatterjee, Nilanjan, Lan, Qing
المصدر: Environ Int ; ISSN:1873-6750 ; Volume:147
بيانات النشر: Elsevier Science
سنة النشر: 2021
المجموعة: PubMed Central (PMC)
مصطلحات موضوعية: Gene-environment interaction, Household coal use, Lung adenocarcinoma, Never-smoking women in Asia, Polygenic risk score
الوصف: We previously identified 10 lung adenocarcinoma susceptibility loci in a genome-wide association study (GWAS) conducted in the Female Lung Cancer Consortium in Asia (FLCCA), the largest genomic study of lung cancer among never-smoking women to date. Furthermore, household coal use for cooking and heating has been linked to lung cancer in Asia, especially in Xuanwei, China. We investigated the potential interaction between genetic susceptibility and coal use in FLCCA. We analyzed GWAS-data from Taiwan, Shanghai, and Shenyang (1472 cases; 1497 controls), as well as a separate study conducted in Xuanwei (152 cases; 522 controls) for additional analyses. We summarized genetic susceptibility using a polygenic risk score (PRS), which was the weighted sum of the risk-alleles from the 10 previously identified loci. We estimated associations between a PRS, coal use (ever/never), and lung adenocarcinoma with multivariable logistic regression models, and evaluated potential gene-environment interactions using likelihood ratio tests. There was a strong association between continuous PRS and lung adenocarcinoma among never coal users (Odds Ratio (OR) = 1.69 (95% Confidence Interval (CI) = 1.53, 1.87), p=1 × 10-26). This effect was attenuated among ever coal users (OR = 1.24 (95% CI: 1.03, 1.50), p = 0.02, p-interaction = 6 × 10-3). We observed similar attenuation among coal users from Xuanwei. Our study provides evidence that genetic susceptibility to lung adenocarcinoma among never-smoking Asian women is weaker among coal users. These results suggest that lung cancer pathogenesis may differ, at least partially, depending on exposure to coal combustion products. Notably, these novel findings are among the few instances of sub-multiplicative gene-environment interactions in the cancer literature.
نوع الوثيقة: article in journal/newspaper
اللغة: English
العلاقة: https://doi.org/10.1016/j.envint.2020.105975Test; https://pubmed.ncbi.nlm.nih.gov/33385923Test; https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8378844Test/
DOI: 10.1016/j.envint.2020.105975
الإتاحة: https://doi.org/10.1016/j.envint.2020.105975Test
https://pubmed.ncbi.nlm.nih.gov/33385923Test
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8378844Test/
حقوق: Copyright © 2020 The Authors. Published by Elsevier Ltd.. All rights reserved.
رقم الانضمام: edsbas.DBA2B190
قاعدة البيانات: BASE