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Associations between Potentially Modifiable Risk Factors and Alzheimer Disease: A Mendelian Randomization Study.

Authors :
Søren D Østergaard
Shubhabrata Mukherjee
Stephen J Sharp
Petroula Proitsi
Luca A Lotta
Felix Day
John R B Perry
Kevin L Boehme
Stefan Walter
John S Kauwe
Laura E Gibbons
Alzheimer’s Disease Genetics Consortium
GERAD1 Consortium
EPIC-InterAct Consortium
Eric B Larson
John F Powell
Claudia Langenberg
Paul K Crane
Nicholas J Wareham
Robert A Scott
Source :
PLoS Medicine, Vol 12, Iss 6, p e1001841; discussion e1001841 (2015)
Publication Year :
2015
Publisher :
Public Library of Science (PLoS), 2015.

Abstract

BackgroundPotentially modifiable risk factors including obesity, diabetes, hypertension, and smoking are associated with Alzheimer disease (AD) and represent promising targets for intervention. However, the causality of these associations is unclear. We sought to assess the causal nature of these associations using Mendelian randomization (MR).Methods and findingsWe used SNPs associated with each risk factor as instrumental variables in MR analyses. We considered type 2 diabetes (T2D, NSNPs = 49), fasting glucose (NSNPs = 36), insulin resistance (NSNPs = 10), body mass index (BMI, NSNPs = 32), total cholesterol (NSNPs = 73), HDL-cholesterol (NSNPs = 71), LDL-cholesterol (NSNPs = 57), triglycerides (NSNPs = 39), systolic blood pressure (SBP, NSNPs = 24), smoking initiation (NSNPs = 1), smoking quantity (NSNPs = 3), university completion (NSNPs = 2), and years of education (NSNPs = 1). We calculated MR estimates of associations between each exposure and AD risk using an inverse-variance weighted approach, with summary statistics of SNP-AD associations from the International Genomics of Alzheimer's Project, comprising a total of 17,008 individuals with AD and 37,154 cognitively normal elderly controls. We found that genetically predicted higher SBP was associated with lower AD risk (odds ratio [OR] per standard deviation [15.4 mm Hg] of SBP [95% CI]: 0.75 [0.62-0.91]; p = 3.4 × 10(-3)). Genetically predicted higher SBP was also associated with a higher probability of taking antihypertensive medication (p = 6.7 × 10(-8)). Genetically predicted smoking quantity was associated with lower AD risk (OR per ten cigarettes per day [95% CI]: 0.67 [0.51-0.89]; p = 6.5 × 10(-3)), although we were unable to stratify by smoking history; genetically predicted smoking initiation was not associated with AD risk (OR = 0.70 [0.37, 1.33]; p = 0.28). We saw no evidence of causal associations between glycemic traits, T2D, BMI, or educational attainment and risk of AD (all p > 0.1). Potential limitations of this study include the small proportion of intermediate trait variance explained by genetic variants and other implicit limitations of MR analyses.ConclusionsInherited lifetime exposure to higher SBP is associated with lower AD risk. These findings suggest that higher blood pressure--or some environmental exposure associated with higher blood pressure, such as use of antihypertensive medications--may reduce AD risk.

Subjects

Subjects :
Medicine

Details

Language :
English
ISSN :
15491277 and 15491676
Volume :
12
Issue :
6
Database :
Directory of Open Access Journals
Journal :
PLoS Medicine
Publication Type :
Academic Journal
Accession number :
edsdoj.8e823bfa41d34758a47b666711191f25
Document Type :
article
Full Text :
https://doi.org/10.1371/journal.pmed.1001841