Is metabolic syndrome a risk factor for skin cancer? A UKBiobank Observational and two Sample Mendelian randomization Study

孟德尔随机化 医学 代谢综合征 内科学 观察研究 生命银行 优势比 风险因素 泊松回归 因果关系(物理学) 队列研究 前瞻性队列研究 肿瘤科 人口 生物信息学 肥胖 遗传学 环境卫生 生物 基因型 遗传变异 基因 物理 量子力学
作者
Emily Black,Claudia Allemani,Tom Dudding
出处
期刊:Cancer Epidemiology, Biomarkers & Prevention [American Association for Cancer Research]
标识
DOI:10.1158/1055-9965.epi-24-1388
摘要

Abstract Background: Skin cancers (SCs) are the third most common cancer worldwide, with incidence increasing. Metabolic syndrome (MetS) is a cluster of metabolic abnormalities strongly associated with the development of cardiovascular disease. More than 1 in 5 individuals have MetS and it is linked with at least 14 different cancers. This study aimed to investigate whether MetS is a risk factor for SC. Methods: A prospective cohort study was conducted in UK Biobank. The association between MetS and SC was investigated using multivariable Poisson regression. To investigate causality, a two sample Mendelian randomization (MR) study was conducted using summary level Genome-wide association study data from UK Biobank (MetS) and FinnGen (SC). Results: 467,919 participants were included, 26.7% had MetS. Follow-up was for up to 10.8 years. MetS showed a moderately sized protective effect on BCC while the effect for SCC and MM crossed the null. Overall, MR found there was some weak evidence for increase odds of SC in those with MetS (1.07 (OR = 1.07 (95% CI: 1.01, 1.14)). Conclusions= The observational study identifies a moderately sized protective effect of MetS on BCC with MR evidence suggesting a weak causal effect is in the opposite direction. Impact: This study has found little to no effect of MetS on SC, despite links between MetS and at least 14 other cancers.

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
vivianzhang发布了新的文献求助10
刚刚
z7777777完成签到,获得积分10
1秒前
545发布了新的文献求助10
1秒前
小纪完成签到 ,获得积分10
2秒前
大神水瓶座完成签到,获得积分10
3秒前
3秒前
5秒前
zhongu应助小仙女212采纳,获得10
5秒前
wangyr11完成签到,获得积分10
6秒前
科研通AI5应助Yile采纳,获得10
7秒前
脑洞疼应助莫离采纳,获得10
9秒前
9秒前
CHdengziqi完成签到,获得积分10
9秒前
在水一方应助cc采纳,获得10
9秒前
10秒前
周日不上发条应助婉婉采纳,获得10
11秒前
蝈蝈发布了新的文献求助30
11秒前
lili发布了新的文献求助10
12秒前
13秒前
科研通AI5应助璇彧采纳,获得10
14秒前
14秒前
科研通AI5应助yaya采纳,获得10
14秒前
旺仔发布了新的文献求助10
15秒前
华仔应助xcp采纳,获得10
15秒前
felicity关注了科研通微信公众号
16秒前
shusz完成签到,获得积分10
17秒前
17秒前
研友_LN3xyn发布了新的文献求助30
17秒前
alan完成签到,获得积分10
18秒前
SciGPT应助蝈蝈采纳,获得10
19秒前
lili完成签到,获得积分10
19秒前
刻苦沛芹完成签到,获得积分20
20秒前
20秒前
冷傲的忆秋完成签到,获得积分10
21秒前
21秒前
我我我发布了新的文献求助10
21秒前
lrl发布了新的文献求助10
23秒前
alan发布了新的文献求助10
23秒前
2_3_10完成签到,获得积分20
24秒前
24秒前
高分求助中
All the Birds of the World 4000
Production Logging: Theoretical and Interpretive Elements 3000
Animal Physiology 2000
Les Mantodea de Guyane Insecta, Polyneoptera 2000
Am Rande der Geschichte : mein Leben in China / Ruth Weiss 1500
CENTRAL BOOKS: A BRIEF HISTORY 1939 TO 1999 by Dave Cope 1000
Machine Learning Methods in Geoscience 1000
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 物理 生物化学 纳米技术 计算机科学 化学工程 内科学 复合材料 物理化学 电极 遗传学 量子力学 基因 冶金 催化作用
热门帖子
关注 科研通微信公众号,转发送积分 3741086
求助须知:如何正确求助?哪些是违规求助? 3283852
关于积分的说明 10037232
捐赠科研通 3000684
什么是DOI,文献DOI怎么找? 1646647
邀请新用户注册赠送积分活动 783858
科研通“疑难数据库(出版商)”最低求助积分说明 750442