Association between telomere length and hepatocellular carcinoma risk: A Mendelian randomization study

孟德尔随机化 全基因组关联研究 单核苷酸多态性 优势比 人口 遗传学 遗传关联 生物 置信区间 肿瘤科 医学 内科学 基因型 基因 环境卫生 遗传变异
作者
Chenglei Yang,Xi Wu,Siyu Chen,Bang‐De Xiang
出处
期刊:Cancer Medicine [Wiley]
卷期号:12 (8): 9937-9944 被引量:2
标识
DOI:10.1002/cam4.5702
摘要

Hepatocellular carcinoma (HCC) is a common cancer threatening the public health globally. Although HCC has been associated with the telomere length (TL), the causal relationship between them is not well understood. Therefore, we attempted to explore the linear causal relationship between TL and HCC through Mendelian randomization (MR) analysis among Asian and European populations.The summary statistics of TL-associated single nucleotide polymorphisms (SNPs) were obtained from a genome-wide association study (GWAS) in the Asian population (N = 23,096). The data of TL-associated SNPs in the European population (N = 472,174) and the GWAS summary statistics of HCC in the Asian population (1866 cases, 195,745 controls) as well as the European population (168 cases, 372,016 controls) were downloaded from the public GWAS database. Two-sample MR was performed using inverse variance weighting (IVW), weighted median estimate, MR-Egger regression, weighted-mode estimate, and simple-mode estimate methods. Sensitivity analysis was performed to text the primary results' robustness.Nine SNPs associated with TL in Asian populations and 98 SNPs in European populations were selected as instrumental variables. No linear causal relationship between heritable TL and the HCC risk was recorded in the Asian (IVW analysis odds ratio [OR] = 1.023, 95% confidence interval [CI] 0.745, 1.405, p = 0.887) and European populations (IVW analysis OR = 0.487, 95% CI 0.180, 1.320, p = 0.157). Other methods also achieved similar outcomes. Sensitivity analysis was performed and revealed no heterogeneity and horizontal pleiotropy.No linear causal association was recorded between heritable TL and HCC in Asian and European populations.

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

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
刚刚
白芷完成签到,获得积分10
刚刚
高大山彤完成签到,获得积分10
1秒前
合适醉蝶完成签到 ,获得积分10
1秒前
1秒前
王云霞完成签到,获得积分10
2秒前
xycc完成签到,获得积分10
2秒前
2秒前
Duang发布了新的文献求助10
2秒前
开心的西瓜完成签到,获得积分10
4秒前
5秒前
北冥鱼发布了新的文献求助10
5秒前
白板完成签到,获得积分20
6秒前
8秒前
8秒前
Lucas应助Champion采纳,获得10
8秒前
有个女孩叫阿娇完成签到,获得积分10
8秒前
丰富以亦发布了新的文献求助10
9秒前
李爱国应助zzzz采纳,获得10
9秒前
xinxin0902应助研狗采纳,获得20
9秒前
9秒前
古人说发布了新的文献求助20
9秒前
yaya发布了新的文献求助10
10秒前
10秒前
Akim应助Atalent采纳,获得10
10秒前
英姑应助千衷采纳,获得10
10秒前
ppat5012完成签到,获得积分10
10秒前
美味肉蟹煲完成签到,获得积分10
11秒前
歪比巴卜发布了新的文献求助10
11秒前
11秒前
11秒前
DEF完成签到 ,获得积分10
11秒前
zero完成签到,获得积分10
11秒前
传奇3应助池林采纳,获得10
11秒前
钟馗完成签到,获得积分10
11秒前
搞科研的废废完成签到,获得积分10
11秒前
白板发布了新的文献求助20
11秒前
11秒前
12秒前
12秒前
高分求助中
(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
List of 1,091 Public Pension Profiles by Region 1561
Binary Alloy Phase Diagrams, 2nd Edition 1200
Holistic Discourse Analysis 600
Atlas of Liver Pathology: A Pattern-Based Approach 500
Latent Class and Latent Transition Analysis: With Applications in the Social, Behavioral, and Health Sciences 500
Using Genomics to Understand How Invaders May Adapt: A Marine Perspective 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 物理化学 基因 遗传学 催化作用 冶金 量子力学 光电子学
热门帖子
关注 科研通微信公众号,转发送积分 5506056
求助须知:如何正确求助?哪些是违规求助? 4601542
关于积分的说明 14477374
捐赠科研通 4535544
什么是DOI,文献DOI怎么找? 2485440
邀请新用户注册赠送积分活动 1468399
关于科研通互助平台的介绍 1440887