Causal relationship between diabetes and depression: A bidirectional Mendelian randomization study

孟德尔随机化 萧条(经济学) 单核苷酸多态性 糖尿病 优势比 置信区间 全基因组关联研究 肿瘤科 医学 内科学 遗传学 生物 内分泌学 基因 遗传变异 宏观经济学 基因型 经济
作者
Zhe Wang,Zhiqiang Du,Rongrong Lu,Qin Zhou,Ying Jiang,Haohao Zhu
出处
期刊:Journal of Affective Disorders [Elsevier BV]
卷期号:351: 956-961 被引量:5
标识
DOI:10.1016/j.jad.2024.02.031
摘要

This study explores the causal relationship between diabetes and depression using a two-sample Mendelian Randomization (TSMR) method. The study selected single nucleotide polymorphisms (SNPs) closely associated with diabetes and depression in European populations from the Genome-Wide Association Study (GWAS) database, to serve as instrumental variables (IVs). The main evaluation method was inverse variance weighted analysis (IVW), supplemented by verification using Weighted median, Weighted mode, and MR Egger methods. The Odds Ratio (OR) and 95 % Confidence Interval (CI) were used as the main evaluation indicators, along with sensitivity analysis. This study found a negative correlation between diabetes and depression, suggesting that diabetes may reduce the risk of depression [IVW(FE): OR: 0.901, 95 % CI: 0.823 to 0.987; P = 0.025 < 0.05]. This finding was further confirmed by the Weighted median [OR: 0.844, 95 % CI: 0.730 to 0.974; P = 0.021 < 0.05] and Weighted mode method [OR: 0.766, 95 % CI: 0.637 to 0.921; P = 0.006 < 0.05]. However, the reverse showed no causal relationship between depression and diabetes (P > 0.05). Sensitivity analysis found no pleiotropy, and there were no large influences from individual SNPs on the result's robustness; the results are stable and reliable. For the first time, this study using TSMR analysis found a negative correlation between diabetes and the risk of depression onset in European populations, suggesting that diabetes might reduce the risk of depression. But as the mechanisms are still unclear, these findings warrant further study.
最长约 10秒,即可获得该文献文件

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
Trueman发布了新的文献求助10
刚刚
下山的虎完成签到 ,获得积分10
刚刚
刚刚
呜呼完成签到,获得积分10
1秒前
汉堡包应助CCCr采纳,获得10
1秒前
1秒前
Lunanar完成签到 ,获得积分10
1秒前
1秒前
wy发布了新的文献求助30
2秒前
张二十八发布了新的文献求助10
2秒前
znn发布了新的文献求助10
2秒前
所所应助予安采纳,获得10
3秒前
3秒前
3秒前
4秒前
量子星尘发布了新的文献求助100
4秒前
SciGPT应助要减肥含灵采纳,获得10
5秒前
5秒前
zhjeddie发布了新的文献求助10
5秒前
希望天下0贩的0应助Trueman采纳,获得10
6秒前
7秒前
liuyc完成签到,获得积分10
7秒前
王小冉发布了新的文献求助10
7秒前
8秒前
完美世界应助Ali采纳,获得10
9秒前
英姑应助lin采纳,获得10
9秒前
9秒前
9秒前
11秒前
11秒前
酥酥脆完成签到,获得积分10
12秒前
ycc发布了新的文献求助30
12秒前
12秒前
12秒前
西咪替丁发布了新的文献求助10
12秒前
科研圣体完成签到,获得积分10
13秒前
Jasper应助林子青采纳,获得10
13秒前
Lucas应助自然的亦巧采纳,获得10
13秒前
英俊的铭应助小梦采纳,获得10
13秒前
莫默发布了新的文献求助10
13秒前
高分求助中
Picture Books with Same-sex Parented Families: Unintentional Censorship 700
ACSM’s Guidelines for Exercise Testing and Prescription, 12th edition 500
Nucleophilic substitution in azasydnone-modified dinitroanisoles 500
不知道标题是什么 500
Indomethacinのヒトにおける経皮吸収 400
Phylogenetic study of the order Polydesmida (Myriapoda: Diplopoda) 370
Effective Learning and Mental Wellbeing 300
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 内科学 纳米技术 计算机科学 化学工程 复合材料 遗传学 基因 物理化学 催化作用 冶金 细胞生物学 免疫学
热门帖子
关注 科研通微信公众号,转发送积分 3974797
求助须知:如何正确求助?哪些是违规求助? 3519250
关于积分的说明 11197623
捐赠科研通 3255405
什么是DOI,文献DOI怎么找? 1797769
邀请新用户注册赠送积分活动 877156
科研通“疑难数据库(出版商)”最低求助积分说明 806202