Evidence map›Paper›PMID 40143724›Full record

ArticlePsychiatry investigation2025

Genetic Correlation and Mendelian Randomization Analysis Revealed an Unidirectional Causal Relationship Between Left Caudal Middle Frontal Surface Area and Cigarette Consumption.

Hongcheng Xie, Anlin Wang, Minglan Yu, Tingting Wang, Xuemei Liang, Rongfang He, Chaohua Huang, Wei Lei, Jing Chen, Youguo Tan and 2 more

Abstract read
In one paragraph

Article in Psychiatry investigation, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

12 authors.

Hongcheng XieDepartment of Psychiatry, Fundamental and Clinical Research on Mental Disorders Key Laboratory of Luzhou, Laboratory of Neurological Diseases and Brain Function, Medical Laboratory Center, Affiliated Hospital of Southwest Medical University, Luzhou, China.
Anlin WangDepartment of Psychiatry, Fundamental and Clinical Research on Mental Disorders Key Laboratory of Luzhou, Laboratory of Neurological Diseases and Brain Function, Medical Laboratory Center, Affiliated Hospital of Southwest Medical University, Luzhou, China.
Minglan YuDepartment of Psychiatry, Fundamental and Clinical Research on Mental Disorders Key Laboratory of Luzhou, Laboratory of Neurological Diseases and Brain Function, Medical Laboratory Center, Affiliated Hospital of Southwest Medical University, Luzhou, China.
Tingting WangDepartment of Psychiatry, Fundamental and Clinical Research on Mental Disorders Key Laboratory of Luzhou, Laboratory of Neurological Diseases and Brain Function, Medical Laboratory Center, Affiliated Hospital of Southwest Medical University, Luzhou, China.
Xuemei LiangDepartment of Psychiatry, Fundamental and Clinical Research on Mental Disorders Key Laboratory of Luzhou, Laboratory of Neurological Diseases and Brain Function, Medical Laboratory Center, Affiliated Hospital of Southwest Medical University, Luzhou, China.
Rongfang HeDepartment of Psychiatry, Fundamental and Clinical Research on Mental Disorders Key Laboratory of Luzhou, Laboratory of Neurological Diseases and Brain Function, Medical Laboratory Center, Affiliated Hospital of Southwest Medical University, Luzhou, China.
Chaohua HuangDepartment of Psychiatry, Fundamental and Clinical Research on Mental Disorders Key Laboratory of Luzhou, Laboratory of Neurological Diseases and Brain Function, Medical Laboratory Center, Affiliated Hospital of Southwest Medical University, Luzhou, China.
Wei LeiDepartment of Psychiatry, Fundamental and Clinical Research on Mental Disorders Key Laboratory of Luzhou, Laboratory of Neurological Diseases and Brain Function, Medical Laboratory Center, Affiliated Hospital of Southwest Medical University, Luzhou, China.
Jing ChenDepartment of Psychiatry, Fundamental and Clinical Research on Mental Disorders Key Laboratory of Luzhou, Laboratory of Neurological Diseases and Brain Function, Medical Laboratory Center, Affiliated Hospital of Southwest Medical University, Luzhou, China.
Youguo TanZigong Mental Health Center, Zigong, China.
Kezhi LiuDepartment of Psychiatry, Fundamental and Clinical Research on Mental Disorders Key Laboratory of Luzhou, Laboratory of Neurological Diseases and Brain Function, Medical Laboratory Center, Affiliated Hospital of Southwest Medical University, Luzhou, China.
Bo XiangDepartment of Psychiatry, Fundamental and Clinical Research on Mental Disorders Key Laboratory of Luzhou, Laboratory of Neurological Diseases and Brain Function, Medical Laboratory Center, Affiliated Hospital of Southwest Medical University, Luzhou, China.

Funding

2022 Health Sciences and Technology program of HangzhouAffliated Hospital of Southwest Medical University 16009Affliated Hospital of Southwest Medical University 2011 [37]Affliated Hospital of Southwest Medical University 2017-PT-9Biomedical and Health Industry Development Support Science and Technology Project in Hangzhou 2022WJC064Central Nervous System Drug Key Laboratory of Sichuan Province 200029-01SZGeneral Project Category A A20220084Luzhou Science and Technology Bureau 2022-SYF-96Sichuan Provincial Department of Science and Technology 2022YFS0615Sichuan Provincial Department of Science and Technology 2023NSFSC0124Southwest Medical University 2021ZKQN064Zigong City Hospital ZG-KY-2023-047Zigong City Hospital ZG-PT-2023-026Zigong Science and Technology Bureau 2021YXY03Zigong Science and Technology Bureau 2022ZCNKY02
6 · The paper itself

Abstract

objectivePrevious studies have discovered a correlation between cigarette smoking and cortical thickness and surface area, but the causal relationship remains unclear. The objective of this investigation is to scrutinize the causal association between them.

methodsTo derive summary statistics from a genome-wide association study (GWAS) on cortical thickness, surface area, and four smoking behaviors: 1) age of initiation of regular smoking (AgeSmk); 2) smoking initiation (SmkInit); 3) smoking cessation (SmkCes); 4) cigarettes per day (CigDay). Linkage disequilibrium score regression (LDSC) was employed to examine genetic association analysis. Furthermore, for traits with significant genetic associations, Mendelian randomization (MR) analyses were conducted.

resultsThe LDSC analysis revealed nominal genetic correlations between AgeSmk and right precentral surface area, left caudal anterior cingulate surface area, left cuneus surface area, left inferior parietal surface area, and right caudal anterior cingulate thickness, as well as between CigDay and left caudal middle frontal surface area, between SmkCes and left entorhinal thickness, and between SmkInit and left rostral anterior cingulate surface area, right rostral anterior cingulate thickness, and right superior frontal thickness (rg=-0.36-0.29, p<0.05). MR analysis showed a unidirectional causal association between left caudal middle frontal surface area and CigDay (βIVW=0.056, pBonferroni=2×10-4).

conclusionLeft caudal middle frontal surface area has the potential to serve as a significant predictor of smoking behavior.

Indexed as

Cigarette per dayGenetic correlationMendelian randomization.Surface area

Identifiers

PMID40143724
PMCPMC11962530

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