Evidence map›Paper›PMID 25226301›Full record

ArticlePLoS medicine2014

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 and 9 more

Open access · goldAbstract read
In one paragraph

Article in PLoS medicine, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 59 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
59citing papers in PubMed, 3 pooled it
5.4field-weighted citation impact, top 4% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

59 citing papers in PubMed, 3 syntheses or guidelines pooled it, 95 citations in OpenAlex.

  1. Pooled it
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  11. Association of genetic predisposition to dyslipidemia and physical activity with incident dementia.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026
    Article
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  15. Article
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  19. Midlife lipid and glucose levels are associated with Alzheimer's disease.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2023
    Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

19 authors at 9 institutions in 7 countries.

Petroula ProitsiKing's College London, Institute of Psychiatry, Psychology and Neuroscience, London, United Kingdom; Department of Psychiatry, State Key Laboratory of Brain and Cognitive Sciences, and Centre for Genomic Sciences, Li Ka Shing Faculty of Medicine, the University of Hong Kong, Hong Kong.
Michelle K LuptonNeuroimaging Genetics, QIMR Berghofer Medical Research Institute, Herston, Queensland, Australia.
Latha VelayudhanDepartment of Health Sciences, Psychiatry for the Elderly, University of Leicester, United Kingdom.
Stephen NewhouseKing's College London, Institute of Psychiatry, Psychology and Neuroscience, London, United Kingdom.
Isabella FoghKing's College London, Institute of Psychiatry, Psychology and Neuroscience, London, United Kingdom.
Magda TsolakiDepartment of Health Sciences, Psychiatry for the Elderly, University of Leicester, United Kingdom.
Makrina DaniilidouDepartment of Health Sciences, Psychiatry for the Elderly, University of Leicester, United Kingdom.
Megan PritchardKing's College London, Institute of Psychiatry, Psychology and Neuroscience, London, United Kingdom.
Iwona KloszewskaDepartment of Old Age Psychiatry & Psychotic Disorders, Medical University of Lodz, Lodz, Poland.
Hilkka SoininenDepartment of Neurology, Kuopio University Hospital and University of Eastern Finland, Kuopio, Finland.
Patrizia MecocciSection of Gerontology and Geriatrics, Department of Medicine, University of Perugia, Perugia, Italy.
Bruno VellasDepartment of Internal and Geriatrics Medicine, INSERM U 1027, Gerontopole, Hôpitaux de Toulouse, Toulouse, France.
Alzheimer's Disease Neuroimaging Initiative
Julie WilliamsMRC Centre for Neuropsychiatric Genetics and Genomics, Department of Psychological Medicine and Neurology, School of Medicine, Cardiff University, Cardiff, United Kingdom.
GERAD1 Consortium
Robert StewartKing's College London, Institute of Psychiatry, Psychology and Neuroscience, London, United Kingdom.
Pak ShamDepartment of Psychiatry, State Key Laboratory of Brain and Cognitive Sciences, and Centre for Genomic Sciences, Li Ka Shing Faculty of Medicine, the University of Hong Kong, Hong Kong.
Simon LovestoneUniversity of Oxford, Department of Psychiatry, Warneford Hospital, Oxford, United Kingdom.
John F PowellKing's College London, Institute of Psychiatry, Psychology and Neuroscience, London, United Kingdom.
King's College London · GBUniversity of Leicester · GBCardiff University · GBInserm · FRMedical University of Lodz · PLQIMR Berghofer Medical Research Institute · AUUniversity of Eastern Finland · FIUniversity of Perugia · ITWarneford Hospital · GB

Funding

Alzheimer's Disease Neuroimaging Initiative - SupplementU01AG024904 · NIA · NORTHERN CALIFORNIA INSTITUTE RES &EDUC · PI WEINER, MICHAEL W · 2004 to 2015
$121.0M
National Centralized Repository for Alzheimer's Disease and Related Dementias (NCRAD)U24AG021886 · NIA · INDIANA UNIV-PURDUE UNIV AT INDIANAPOLIS · PI TATIANA M. FOROUD · 2002 to 2026
$119.8M
CIHRMedical Research Council G0801418Medical Research Council G0902227Medical Research Council G1001799Medical Research Council MC_U123160651Medical Research Council MR/K013041/1Medical Research Council MR/L010305/1Medical Research Council MR/L023784/1Medical Research Council MR/L501517/1NIA NIH HHS U01 AG024904NIA NIH HHS U24 AG021886Wellcome Trust 100140
6 · The paper itself

Abstract

backgroundAlthough 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

findingsWe 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<5×10-8 and trait specific scores using SNPs associated exclusively with each trait at p<5 × 10-8 were developed. We used logistic regression to investigate whether the GRSs were associated with LOAD in each study and results were combined together by meta-analysis. We found no association between any of the full GRSs and LOAD (meta-analysis results: odds ratio [OR]=1.005, 95% CI 0.82-1.24, p = 0.962 per 1 unit increase in HDL-c; OR=0.901, 95% CI 0.65-1.25, p=0.530 per 1 unit increase in LDL-c; OR=1.104, 95% CI 0.89-1.37, p=0.362 per 1 unit increase in triglycerides; and OR=0.954, 95% CI 0.76-1.21, p=0.688 per 1 unit increase in total cholesterol). Results for the trait specific scores were similar; however, the trait specific scores explained much smaller phenotypic variance.

conclusionsGenetic predisposition to increased blood cholesterol and triglyceride lipid levels is not associated with elevated LOAD risk. The observed epidemiological associations between abnormal lipid levels and LOAD risk could therefore be attributed to the result of biological pleiotropy or could be secondary to LOAD. Limitations of this study include the small proportion of lipid variance explained by the GRS, biases in case-control ascertainment, and the limitations implicit to Mendelian randomization studies. Future studies should focus on larger LOAD datasets with longitudinal sampled peripheral lipid measures and other markers of lipid metabolism, which have been shown to be altered in LOAD. Please see later in the article for the Editors' Summary.

Indexed as

AgedAged, 80 and overAlzheimer DiseaseCholesterolFemaleGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansLongitudinal StudiesMaleMendelian Randomization AnalysisPolymorphism, Single NucleotideRisk FactorsTriglyceridesCholesterolTriglycerides

Identifiers

PMID25226301
PMCPMC4165594
OpenAlexW2162429408

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.