Mendelian randomization analysis does not reveal a causal influence of mental diseases on osteoporosis

孟德尔随机化 观察研究 医学 骨质疏松症 内科学 肿瘤科 物理疗法 生物 遗传学 遗传变异 基因 基因型
作者
Fen Tang,Sheng Wang,Hongxia Zhao,Demeng Xia,Xinyong Dong
出处
期刊:Frontiers in Endocrinology [Frontiers Media]
卷期号:14 被引量:12
标识
DOI:10.3389/fendo.2023.1125427
摘要

Osteoporosis (OP) is primarily diagnosed through bone mineral density (BMD) measurements, and it often leads to fracture. Observational studies suggest that several mental diseases (MDs) may be linked to OP, but the causal direction of these associations remain unclear. This study aims to explore the potential causal association between five MDs (Schizophrenia, Depression, Alzheimer's disease, Parkinson's disease, and Epilepsy) and the risk of OP.First, single-nucleotide polymorphisms (SNPs) were filtered from summary-level genome-wide association studies using quality control measures. Subsequently, we employed two-sample Mendelian randomization (MR) analysis to indirectly analyze the causal effect of MDs on the risk of OP through bone mineral density (in total body, femoral neck, lumbar spine, forearm, and heel) and fractures (in leg, arm, heel, spine, and osteoporotic fractures). Lastly, the causal effect of the MDs on the risk of OP was evaluated directly through OP. MR analysis was performed using several methods, including inverse variance weighting (IVW)-random effects, IVW-fixed effects, maximum likelihood, weighted median, MR-Egger regression, and penalized weighted median.The results did not show any evidence of a causal relationship between MDs and the risk of OP (with almost all P values > 0.05). The robustness of the above results was proved to be good.In conclusion, this study did not find evidence supporting the claim that MDs have a definitive impact on the risk of OP, which contradicts many existing observational reports. Further studies are needed to determine the potential mechanisms of the associations observed in observational studies.
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
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
okeljy完成签到,获得积分10
刚刚
烟花的应助被傅剑寒采纳,获得10
1秒前
若若发布了新的文献求助10
1秒前
纸皮核桃完成签到,获得积分10
2秒前
2秒前
2秒前
htt完成签到,获得积分10
2秒前
4秒前
Gun完成签到,获得积分10
4秒前
4秒前
汉堡包的应助被pp采纳,获得10
5秒前
领导范儿的应助被11采纳,获得10
6秒前
6秒前
6秒前
11完成签到,获得积分10
7秒前
诡诈之裤发布了新的文献求助10
7秒前
8秒前
8秒前
852的应助被坚强的小熊猫采纳,获得10
9秒前
方法完成签到,获得积分10
10秒前
阿鸿发布了新的文献求助10
10秒前
秋风的应助被光亮的胡萝卜采纳,获得20
10秒前
blenx完成签到,获得积分10
10秒前
请按照发布了新的文献求助10
11秒前
mumumumumumu发布了新的文献求助10
11秒前
Jadedew完成签到,获得积分10
11秒前
11秒前
kdjc发布了新的文献求助10
12秒前
sun完成签到,获得积分10
12秒前
12秒前
12秒前
高高的应助被悲凉的菠萝采纳,获得10
13秒前
星辰完成签到 ,获得积分10
13秒前
13秒前
lqq完成签到 ,获得积分10
14秒前
14秒前
Hello的应助被诡诈之裤采纳,获得10
14秒前
勤恳的凝云完成签到,获得积分10
14秒前
脑洞疼的应助被大气颜演采纳,获得10
15秒前
阿鸿完成签到,获得积分10
15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
拉伸高分子熔体中缠结行为的模拟和小角中子散射研究 1080
Encyclopedia of Modern Artificial Intelligence 1000
Особенности технологий и методов информационно-психологических войн СССР с Великобританией и США в период 1939-1953 гг 1000
Das Matthäusevangelium: Kapitel 1:1–17 1000
Analyses de reconnaissances de dettes passées devant les échevins d'Ypres (1249-1291) 600
Cellulose and Cellulose Derivatives: Synthesis, Modification and Applications 600
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 计算机科学 工程类 有机化学 化学工程 生物化学 物理 复合材料 内科学 催化作用 光电子学 人工智能 细胞生物学 无机化学 物理化学 数学
热门帖子
关注 科研通微信公众号,转发送积分 8143717
求助须知:如何正确求助?哪些是违规求助? 9543062
关于积分的说明 21655544
捐赠科研通 7729236
什么是DOI,文献DOI怎么找? 3422144
关于科研通互助平台的介绍 2547439
邀请新用户注册赠送积分活动 2464956