Causal effects of COVID‐19 on cancer risk: A Mendelian randomization study

孟德尔随机化 2019年冠状病毒病(COVID-19) 病毒学 2019-20冠状病毒爆发 医学 内科学 严重急性呼吸综合征冠状病毒2型(SARS-CoV-2) 倍他科诺病毒 疾病 计算生物学 遗传学 生物 爆发 基因型 传染病(医学专业) 遗传变异 基因
作者
Jia Li,Haocheng Bai,Qiao Hao,Chong Du,Peizhuo Yao,Yu Zhang,Yifan Cai,Yiwei Jia,Xinyu Wei,Chaofan Li,Xuanyu Liu,Weiwei Wang,Shiyu Sun,Cong Feng,Yutian Hu,Zhangjian Zhou,Shuqun Zhang,Yinbin Zhang
出处
期刊:Journal of Medical Virology [Wiley]
卷期号:95 (4) 被引量:17
标识
DOI:10.1002/jmv.28722
摘要

In contemporary literature, little attention has been paid to the association between coronavirus disease-2019 (COVID-19) and cancer risk. We performed the Mendelian randomization (MR) to investigate the causal associations between the three types of COVID-19 exposures (critically ill COVID-19, hospitalized COVID-19, and respiratory syndrome coronavirus 2 (SARS-CoV-2) infection) and 33 different types of cancers of the European population. The results of the inverse-variance-weighted model indicated that genetic liabilities to critically ill COVID-19 had suggestive causal associations with the increased risk for HER2-positive breast cancer (odds ratio [OR] = 1.0924; p-value = 0.0116), esophageal cancer (OR = 1.0004; p-value = 0.0226), colorectal cancer (OR = 1.0010; p-value = 0.0242), stomach cancer (OR = 1.2394; p-value = 0.0331), and colon cancer (OR = 1.0006; p-value = 0.0453). The genetic liabilities to hospitalized COVID-19 had suggestive causal associations with the increased risk for HER2-positive breast cancer (OR = 1.1096; p-value = 0.0458), esophageal cancer (OR = 1.0005; p-value = 0.0440) as well as stomach cancer (OR = 1.3043; p-value = 0.0476). The genetic liabilities to SARS-CoV-2 infection had suggestive causal associations with the increased risk for stomach cancer (OR = 2.8563; p-value = 0.0019) but with the decreasing risk for head and neck cancer (OR = 0.9986, p-value = 0.0426). The causal associations of the above combinations were robust through the test of heterogeneity and pleiotropy. Together, our study indicated that COVID-19 had causal effects on cancer risk.

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
心灵美鑫完成签到 ,获得积分10
刚刚
刚刚
1秒前
天天快乐应助niniyiya采纳,获得10
1秒前
烂漫白昼发布了新的文献求助10
2秒前
shell完成签到,获得积分10
2秒前
张123完成签到,获得积分10
3秒前
3秒前
3秒前
平淡的宛秋应助仙林AK47采纳,获得20
3秒前
li完成签到,获得积分10
4秒前
4秒前
5秒前
lyyyyyy发布了新的文献求助10
5秒前
传奇3应助桃之夭夭采纳,获得10
5秒前
5秒前
5秒前
6秒前
7秒前
8秒前
浪子驳回了dde应助
8秒前
七月晴发布了新的文献求助10
9秒前
梦中学习完成签到 ,获得积分10
9秒前
天天发布了新的文献求助10
9秒前
领导范儿应助微笑访卉采纳,获得10
9秒前
yeee发布了新的文献求助30
9秒前
热情的黑猫应助Demo采纳,获得10
10秒前
hhhh关注了科研通微信公众号
10秒前
11秒前
cdercder应助chi1采纳,获得10
12秒前
Wonder罗发布了新的文献求助10
12秒前
lyyyyyy完成签到,获得积分10
12秒前
Xiaoyu发布了新的文献求助10
13秒前
13秒前
13秒前
高赛文发布了新的文献求助10
14秒前
15秒前
16秒前
niniyiya发布了新的文献求助10
17秒前
科研甜菜发布了新的文献求助10
17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 5000
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
Blackwell's five-minute veterinary consult clinical companion: small animal gastrointestinal diseases 500
Data book on fatigue strength of metallic materials 500
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 7563751
求助须知:如何正确求助?哪些是违规求助? 9144268
关于积分的说明 19552237
捐赠科研通 7151262
什么是DOI,文献DOI怎么找? 3262390
关于科研通互助平台的介绍 2428640
邀请新用户注册赠送积分活动 2252109