Genetic Predisposition to Increased Blood Cholesterol and Triglyceride Lipid Levels and Risk of Alzheimer Disease: A Mendelian Randomization Analysis

Petroula Proitsi, Michelle K Lupton, Latha Velayudhan, Stephen Newhouse, Isabella Fogh, Magda Tsolaki, Makrina Daniilidou, Megan Pritchard, Iwona Kloszewska, Hilkka Soininen, Patrizia Mecocci, Bruno Vellas, for the Alzheimer's Disease Neuroimaging Initiative, Julie Williams, for the GERAD1 Consortium, Robert Stewart, Pak Sham, Simon Lovestone and John F Powell

PLOS Medicine, 2014, vol. 11, issue 9, 1-15

Abstract: : In this study, Proitsi and colleagues use a Mendelian randomization approach to dissect the causal nature of the association between circulating lipid levels and late onset Alzheimer's Disease (LOAD) and find that genetic predisposition to increased plasma cholesterol and triglyceride lipid levels is not associated with elevated LOAD risk. Background: Although altered lipid metabolism has been extensively implicated in the pathogenesis of Alzheimer disease (AD) through cell biological, epidemiological, and genetic studies, the molecular mechanisms linking cholesterol and AD pathology are still not well understood and contradictory results have been reported. We have used a Mendelian randomization approach to dissect the causal nature of the association between circulating lipid levels and late onset AD (LOAD) and test the hypothesis that genetically raised lipid levels increase the risk of LOAD. Methods and Findings: We included 3,914 patients with LOAD, 1,675 older individuals without LOAD, and 4,989 individuals from the general population from six genome wide studies drawn from a white population (total n = 10,578). We constructed weighted genotype risk scores (GRSs) for four blood lipid phenotypes (high-density lipoprotein cholesterol [HDL-c], low-density lipoprotein cholesterol [LDL-c], triglycerides, and total cholesterol) using well-established SNPs in 157 loci for blood lipids reported by Willer and colleagues (2013). Both full GRSs using all SNPs associated with each trait at p

Date: 2014
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pmed00:1001713

DOI: 10.1371/journal.pmed.1001713

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