Dataset

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Title of Dataset
Data from: Genetic Predisposition to Increased Blood Cholesterol and Triglyceride Lipid Levels and Risk of Alzheimer Disease: A Mendelian Randomization Analysis
Author of Dataset
Proitsi, Petroula1
Lupton, Michelle K.2
Velayudhan, Latha3
Newhouse, Stephen4
Fogh, Isabella4
Tsolaki, Magda3
Daniilidou, Makrina3
Pritchard, Megan4
Kloszewska, Iwona5
Soininen, Hilkka6
Mecocci, Patrizia7
Vellas, Bruno8
Williams, Julie9
Stewart, Robert4
Lovestone, Simon11
Powell, John F.4
Contact
Proitsi, Petroula1
Date of Dataset Creation
2014-09-16
Description
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<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 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
Citation
Proitsi, P, Lupton, MK, Velayudhan, L, Newhouse, S, Fogh, I, Tsolaki, M, Daniilidou, M, Pritchard, M, Kloszewska, I, Soininen, H, Mecocci, P, Vellas, B, Williams, J, Stewart, R, Sham, P, Lovestone, S, Powell, JF. (2014). Data from: Genetic Predisposition to Increased Blood Cholesterol and Triglyceride Lipid Levels and Risk of Alzheimer Disease: A Mendelian Randomization Analysis. [Data File]. The authors confirm that, for approved reasons, some access restrictions apply to the data underlying the findings. Data are from the Genetic and Environmental Risk for Alzheimer's Disease 1 (GERAD1) Consortium, the AddNeuroMed, the Dementia Case Register (DCR) and the Alzheimer's Disease Neuroimaging Initiative (ADNI) studies. Data access is available on request from the following: GERAD1, williamsj@cardiff.ac.uk. AddNeuroMed,simon.lovestone@psych.ox.ac.uk. DCR data, john.powell@kcl.ac.uk. ADNI data is publicly available (adni.loni.usc.edu).
Click on “Linked Publications” to access the publication and access supporting information on figshare at https://figshare.com/articles/_Genetic_Predisposition_to_Increased_Blood_Cholesterol_and_Triglyceride_Lipid_Levels_and_Risk_of_Alzheimer_Disease_A_Mendelian_Randomization_Analysis_/1171680
Subject (RGC Codes)
M2 — Medicine, Dentistry & Health — 醫學, 牙科學及保健
  • 1214 — Geriatrics/Gerontology — 老年病學/老年學
Subject (ANZSRC)
11 — MEDICAL AND HEALTH SCIENCES — 醫學與衛生科學
  • 1109 — NEUROSCIENCES — 神經科學
    • 110904 — Neurology and Neuromuscular Diseases — 神經學和神經肌肉疾病
Keyword
Mendelian randomization approach
lipid levels
snp
LOAD risk
grs
lipid levels increase
lipoprotein cholesterol
Mendelian Randomization Analysis BackgroundAlthough
genotype risk scores
Lipid metabolism
ci
1 unit increase
Triglyceride Lipid Levels
phenotypic variance.ConclusionsGenetic predisposition
trait
blood lipid phenotypes
Mendelian randomization studies
Affiliations
  1. Kings Coll London, Inst Psychiat Psychol & Neurosci, London WC2R 2LS, England ; Univ Hong Kong, Li Ka Shing Fac Med, State Key Lab Brain & Cognit Sci, Dept Psychiat, Hong Kong, Hong Kong, Peoples R China ; Univ Hong Kong, Li Ka Shing Fac Med, Ctr Genom Sci, Hong Kong, Hong Kong, Peoples R China
  2. QIMR Berghofer Med Res Inst, Herston, Qld, Australia
  3. Univ Leicester, Dept Hlth Sci, Leicester LE1 7RH, Leics, England
  4. Kings Coll London, Inst Psychiat Psychol & Neurosci, London WC2R 2LS, England
  5. Med Univ Lodz, Dept Old Age Psychiat & Psychot Disorders, Lodz, Poland
  6. Kuopio Univ Hosp, Dept Neurol, SF-70210 Kuopio, Finland ; Univ Eastern Finland, Kuopio, Finland
  7. Univ Perugia, Dept Med, Sect Gerontol & Geriatr, I-06100 Perugia, Italy
  8. Hop Toulouse, Dept Internal & Geriatr Med, INSERM, U1027, Toulouse, France
  9. Cardiff Univ, Sch Med, Dept Psychol Med & Neurol, MRC,Ctr Neuropsychiat Genet & Genom, Cardiff CF10 3AX, S Glam, Wales
  10. Univ Hong Kong, Li Ka Shing Fac Med, State Key Lab Brain & Cognit Sci, Dept Psychiat, Hong Kong, Hong Kong, Peoples R China ; Univ Hong Kong, Li Ka Shing Fac Med, Ctr Genom Sci, Hong Kong, Hong Kong, Peoples R China
  11. Univ Oxford, Warneford Hosp, Dept Psychiat, Oxford, England