Genetic Epidemiology, Translational Neurogenomics, Psychiatric Genetics and Statistical Genetics Laboratories investigate the pattern of disease in families, particularly identical and non-identical twins, to assess the relative importance of genes and environment in a variety of important health problems.
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PMID
25226301
TITLE
Genetic predisposition to increased blood cholesterol and triglyceride lipid levels and risk of Alzheimer disease: a Mendelian randomization analysis.
ABSTRACT
BACKGROUND NlmCategory: 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 NlmCategory: RESULTS
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<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.
CONCLUSIONS NlmCategory: CONCLUSIONS
Genetic 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.
DATE PUBLISHED
2014 Sep
HISTORY
PUBSTATUS PUBSTATUSDATE
ecollection 2014/09
received 2013/12/13
accepted 2014/07/23
epublish 2014/09/16
entrez 2014/09/17 06:00
pubmed 2014/09/17 06:00
medline 2015/06/16 06:00
AUTHORS
NAME COLLECTIVENAME LASTNAME FORENAME INITIALS AFFILIATION AFFILIATIONINFO
Proitsi P Proitsi Petroula P King'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.
Lupton MK Lupton Michelle K MK Neuroimaging Genetics, QIMR Berghofer Medical Research Institute, Herston, Queensland, Australia.
Velayudhan L Velayudhan Latha L Department of Health Sciences, Psychiatry for the Elderly, University of Leicester, United Kingdom.
Newhouse S Newhouse Stephen S King's College London, Institute of Psychiatry, Psychology and Neuroscience, London, United Kingdom.
Fogh I Fogh Isabella I King's College London, Institute of Psychiatry, Psychology and Neuroscience, London, United Kingdom.
Tsolaki M Tsolaki Magda M Department of Health Sciences, Psychiatry for the Elderly, University of Leicester, United Kingdom.
Daniilidou M Daniilidou Makrina M Department of Health Sciences, Psychiatry for the Elderly, University of Leicester, United Kingdom.
Pritchard M Pritchard Megan M King's College London, Institute of Psychiatry, Psychology and Neuroscience, London, United Kingdom.
Kloszewska I Kloszewska Iwona I Department of Old Age Psychiatry & Psychotic Disorders, Medical University of Lodz, Lodz, Poland.
Soininen H Soininen Hilkka H Department of Neurology, Kuopio University Hospital and University of Eastern Finland, Kuopio, Finland.
Mecocci P Mecocci Patrizia P Section of Gerontology and Geriatrics, Department of Medicine, University of Perugia, Perugia, Italy.
Vellas B Vellas Bruno B Department of Internal and Geriatrics Medicine, INSERM U 1027, Gerontopole, Hôpitaux de Toulouse, Toulouse, France.
Alzheimer's Disease Neuroimaging Initiative
Williams J Williams Julie J MRC Centre for Neuropsychiatric Genetics and Genomics, Department of Psychological Medicine and Neurology, School of Medicine, Cardiff University, Cardiff, United Kingdom.
GERAD1 Consortium
Stewart R Stewart Robert R King's College London, Institute of Psychiatry, Psychology and Neuroscience, London, United Kingdom.
Sham P Sham Pak P 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.
Lovestone S Lovestone Simon S University of Oxford, Department of Psychiatry, Warneford Hospital, Oxford, United Kingdom.
Powell JF Powell John F JF King's College London, Institute of Psychiatry, Psychology and Neuroscience, London, United Kingdom.
INVESTIGATORS
JOURNAL
VOLUME: 11
ISSUE: 9
TITLE: PLoS medicine
ISOABBREVIATION: PLoS Med.
YEAR: 2014
MONTH: Sep
DAY:
MEDLINEDATE:
SEASON:
CITEDMEDIUM: Internet
ISSN: 1549-1676
ISSNTYPE: Electronic
MEDLINE JOURNAL
MEDLINETA: PLoS Med
COUNTRY: United States
ISSNLINKING: 1549-1277
NLMUNIQUEID: 101231360
PUBLICATION TYPE
PUBLICATIONTYPE TEXT
Journal Article
Research Support, N.I.H., Extramural
Research Support, Non-U.S. Gov't
Research Support, U.S. Gov't, Non-P.H.S.
COMMENTS AND CORRECTIONS
REFTYPE REFSOURCE REFPMID NOTE
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GRANTS
GRANTID AGENCY COUNTRY
100140 Wellcome Trust United Kingdom
U01 AG024904 NIA NIH HHS United States
U24 AG021886 NIA NIH HHS United States
Canadian Institutes of Health Research Canada
Medical Research Council United Kingdom
Wellcome Trust United Kingdom
GENERAL NOTE
KEYWORDS
MESH HEADINGS
DESCRIPTORNAME QUALIFIERNAME
Aged
Aged, 80 and over
Alzheimer Disease genetics
Cholesterol genetics
Female genetics
Genetic Predisposition to Disease genetics
Genome-Wide Association Study methods
Humans methods
Longitudinal Studies methods
Male methods
Mendelian Randomization Analysis methods
Polymorphism, Single Nucleotide genetics
Risk Factors genetics
Triglycerides genetics
SUPPLEMENTARY MESH
GENE SYMBOLS
CHEMICALS
REGISTRYNUMBER NAMEOFSUBSTANCE
0 Triglycerides
97C5T2UQ7J Cholesterol
OTHER ID's
OTHERID SOURCE
PMC4165594 NLM