Evaluating the causal effect of tobacco smoking on white matter brain aging: a two‐sample Mendelian randomization analysis in UK Biobank

• Published in: Addiction (Abingdon, England) Vol. 118; no. 4; pp. 739 - 749
• Main Authors: Mo, Chen, Wang, Jingtao, Ye, Zhenyao, Ke, Hongjie, Liu, Song, Hatch, Kathryn, Gao, Si, Magidson, Jessica, Chen, Chixiang, Mitchell, Braxton D., Kochunov, Peter, Hong, L. Elliot, Ma, Tianzhou, Chen, Shuo
• Format: Journal Article
• Language: English
• Published: England Blackwell Publishing Ltd 01.04.2023
• Subjects: Age differences; Aging; Analysis; Biobanks; Biological Specimen Banks; Brain; Brain aging; causal inference; cigarette per day; Cigarettes; Cognitive ability; Cognitive functioning; Female; Genetic diversity; Humans; Male; Mendelian randomization; Mendelian Randomization Analysis - methods; Middle Aged; Neuroimaging; Risk factors; Sensitivity analysis; Smoking; Smoking - epidemiology; Smoking - genetics; smoking behaviors; smoking status; Substantia alba; Tobacco; Tobacco smoking; Tobacco Smoking - genetics; United Kingdom - epidemiology; Variants; White Matter - diagnostic imaging; white matter fractional anisotropy; United Kingdom; United Kingdom > UK; Brain aging; smoking behaviors; cigarette per day; smoking status; white matter fractional anisotropy; Mendelian randomization; causal inference

Background and Aims Tobacco smoking is a risk factor for impaired brain function, but its causal effect on white matter brain aging remains unclear. This study aimed to measure the causal effect of tobacco smoking on white matter brain aging. Design Mendelian randomization (MR) analysis using two no...