Evaluating the role of alcohol consumption in breast and ovarian cancer susceptibility using population‐based cohort studies and two‐sample Mendelian randomization analyses

孟德尔随机化 观察研究 医学 乳腺癌 混淆 置信区间 危险系数 肿瘤科 队列研究 人口 内科学 队列 比例危险模型 妇科 癌症 环境卫生 生物 遗传学 遗传变异 基因 基因型
作者
Jue‐Sheng Ong,Eske M. Derks,Mikael Eriksson,Jiyuan An,Liang‐Dar Hwang,Douglas F. Easton,Paul D.P. Pharoah,Andrew Berchuck,Linda E. Kelemen,Keitaro Matsuo,Georgia Chenevix‐Trench,Per Hall,Stig E. Bojesen,Penelope M. Webb,Stuart MacGregor
出处
期刊:International Journal of Cancer [Wiley]
卷期号:148 (6): 1338-1350 被引量:13
标识
DOI:10.1002/ijc.33308
摘要

Alcohol consumption is correlated positively with risk for breast cancer in observational studies, but observational studies are subject to reverse causation and confounding. The association with epithelial ovarian cancer (EOC) is unclear. We performed both observational Cox regression and two-sample Mendelian randomization (MR) analyses using data from various European cohort studies (observational) and publicly available cancer consortia (MR). These estimates were compared to World Cancer Research Fund (WCRF) findings. In our observational analyses, the multivariable-adjusted hazard ratios (HR) for a one standard drink/day increase was 1.06 (95% confidence interval [CI]; 1.04, 1.08) for breast cancer and 1.00 (0.92, 1.08) for EOC, both of which were consistent with previous WCRF findings. MR ORs per genetically predicted one standard drink/day increase estimated via 34 SNPs using MR-PRESSO were 1.00 (0.93, 1.08) for breast cancer and 0.95 (0.85, 1.06) for EOC. Stratification by EOC subtype or estrogen receptor status in breast cancers made no meaningful difference to the results. For breast cancer, the CIs for the genetically derived estimates include the point-estimate from observational studies so are not inconsistent with a small increase in risk. Our data provide additional evidence that alcohol intake is unlikely to have anything other than a very small effect on risk of EOC.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
科研菜鸡完成签到 ,获得积分10
刚刚
刚刚
刚刚
牛牛牛完成签到,获得积分10
1秒前
肥胖的瘦子完成签到,获得积分10
1秒前
ding应助苻静竹采纳,获得10
1秒前
慕青应助壮观的梦易采纳,获得10
1秒前
LiuYikun完成签到,获得积分10
2秒前
2秒前
科研通AI6.3应助风清扬采纳,获得10
2秒前
福袋子发布了新的文献求助10
2秒前
孙悦完成签到,获得积分10
2秒前
obaica发布了新的文献求助10
2秒前
3秒前
打打应助结球采纳,获得10
3秒前
zhuzhuya发布了新的文献求助10
3秒前
Owen应助自然的书易采纳,获得10
3秒前
Evangeline993完成签到,获得积分10
3秒前
科研yu完成签到,获得积分10
3秒前
3秒前
3秒前
Feng完成签到,获得积分10
4秒前
JamesPei应助123采纳,获得10
4秒前
南浔完成签到,获得积分10
4秒前
pluto完成签到,获得积分0
4秒前
讲座梅郎完成签到,获得积分10
5秒前
5秒前
农大馒头完成签到,获得积分10
5秒前
lllliu完成签到,获得积分10
5秒前
shiny完成签到,获得积分10
5秒前
6秒前
韦念堇完成签到,获得积分10
6秒前
雪白的依琴完成签到,获得积分10
6秒前
1214发布了新的文献求助10
6秒前
呵呵呵完成签到,获得积分10
7秒前
7秒前
广州队完成签到,获得积分10
7秒前
奋斗碧灵完成签到,获得积分10
8秒前
8秒前
wjjjj发布了新的文献求助10
8秒前
高分求助中
Markov Chain Monte Carlo 10000
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Common Foundations of American and East Asian Modernisation: From Alexander Hamilton to Junichero Koizumi 2000
Advanced Weaponeering Fourth Edition, Volume 2 1000
Weaponeering: An Introduction Fourth Edition, Volume 1 1000
悉尼大学博士学位论文,题目:Modelling and testing of one-sided stitched laminated composites. 作者:Kristopher P. Plain 700
Matrix Methods in Data Mining and Pattern Recognition Second Edition 610
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7550857
求助须知:如何正确求助?哪些是违规求助? 9133720
关于积分的说明 19516303
捐赠科研通 7142790
什么是DOI,文献DOI怎么找? 3260113
关于科研通互助平台的介绍 2426879
邀请新用户注册赠送积分活动 2249111