Cortical structure and the risk for Alzheimer’s disease: a bidirectional Mendelian randomization study

孟德尔随机化 后扣带 库尼乌斯 萎缩 楔前 邦费罗尼校正 内科学 神经科学 医学 心理学 疾病 阿尔茨海默病 皮质(解剖学) 认知 生物 遗传学 基因型 遗传变异 统计 基因 数学
作者
Bang‐Sheng Wu,Ya-Ru Zhang,Hong‐Qi Li,Kevin H.M. Kuo,Shi-Dong Chen,Qiang Dong,Yong Liu,Jin‐Tai Yu
出处
期刊:Translational Psychiatry [Springer Nature]
卷期号:11 (1) 被引量:41
标识
DOI:10.1038/s41398-021-01599-x
摘要

Abstract Progressive loss of neurons in a specific brain area is one of the manifestations of Alzheimer’s disease (AD). Much effort has been devoted to investigating brain atrophy and AD. However, the causal relationship between cortical structure and AD is not clear. We conducted a bidirectional two-sample Mendelian randomization analysis to investigate the causal relationship between cortical structure (surface area and thickness of the whole cortex and 34 cortical regions) and AD risk. Genetic variants used as instruments came from a large genome-wide association meta-analysis of cortical structure (33,992 participants of European ancestry) and AD (AD and AD-by-proxy, 71,880 cases, 383,378 controls). We found suggestive associations of the decreased surface area of the temporal pole (OR (95% CI): 0.95 (0.9, 0.997), p = 0.04), and decreased thickness of cuneus (OR (95% CI): 0.93 (0.89, 0.98), p = 0.006) with higher AD risk. We also found a suggestive association of vulnerability to AD with the decreased surface area of precentral ( β (SE): –43.4 (21.3), p = 0.042) and isthmus cingulate ( β (SE): –18.5 (7.3), p = 0.011). However, none of the Bonferroni-corrected p values of the causal relationship between cortical structure and AD met the threshold. We show suggestive evidence of an association of the atrophy of the temporal pole and cuneus with higher AD risk. In the other direction, there was a suggestive causal relationship between vulnerability to AD and the decreased surface area of the precentral and isthmus cingulate. Our findings shed light on the associations of cortical structure with the occurrence of AD.

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
霁明完成签到,获得积分10
1秒前
3秒前
3秒前
xyy完成签到 ,获得积分10
4秒前
小柯完成签到,获得积分10
4秒前
5秒前
疑夕发布了新的文献求助20
5秒前
小蘑菇应助Benliu采纳,获得10
5秒前
6秒前
6秒前
6秒前
含蓄凝琴完成签到 ,获得积分10
7秒前
Tian完成签到,获得积分10
7秒前
晕云完成签到 ,获得积分10
7秒前
机灵剑通完成签到,获得积分10
8秒前
hatalucky发布了新的文献求助10
8秒前
9秒前
橘子汽水发布了新的文献求助10
9秒前
10秒前
小柯发布了新的文献求助20
10秒前
11秒前
狂野盼易发布了新的文献求助10
11秒前
科研通AI6.3应助sssss采纳,获得10
12秒前
12秒前
14秒前
14秒前
15秒前
小马甲应助与落采纳,获得10
15秒前
科研通AI6.3应助白小白采纳,获得10
15秒前
17秒前
17秒前
lijin发布了新的文献求助10
17秒前
可爱珩完成签到,获得积分10
18秒前
18秒前
18秒前
白开水发布了新的文献求助20
18秒前
忽暝发布了新的文献求助10
18秒前
Benliu完成签到,获得积分20
19秒前
Just97完成签到,获得积分10
20秒前
心灵美诗霜完成签到,获得积分20
20秒前
高分求助中
Adhesion Science: Principles & Practice 1234
Signals, Systems, and Signal Processing 610
Introduction to Cosmetic Formulation and Technology, 2nd Edition 400
Petrology and Plate Tectonics,2025 400
Burger's Medicinal Chemistry and Drug Discovery 400
A Step-by-Step Guide to Qualitative Data Coding 2nd Edition 400
Programming for Chemical Engineers Using C, C++, and MATLAB 320
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 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6698675
求助须知:如何正确求助?哪些是违规求助? 8440920
关于积分的说明 18032879
捐赠科研通 5932082
什么是DOI,文献DOI怎么找? 2988061
邀请新用户注册赠送积分活动 1963882
关于科研通互助平台的介绍 1906037