Evidence map›Paper›PMID 24997672›Full record

ArticleNeurobiology of aging2014

Serum cholesterol and variant in cholesterol-related gene CETP predict white matter microstructure.

Nicholus M Warstadt, Emily L Dennis, Neda Jahanshad, Omid Kohannim, Talia M Nir, Katie L McMahon, Greig I de Zubicaray, Grant W Montgomery, Anjali K Henders, Nicholas G Martin and 8 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Neurobiology of aging, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
3.5field-weighted citation impact, top 8% 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

19 citing papers in PubMed, 35 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Review
  7. Associations Between 20-Year Lipid Variability Throughout Young Adulthood and Midlife Cognitive Function and Brain Integrity.The journals of gerontology. Series A, Biological sciences and medical sciences · 2022
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. The C677T variant inBiological psychiatry. Cognitive neuroscience and neuroimaging · 2017
    Article
  14. Review
  15. Article
  16. Genetic studies of quantitative MCI and AD phenotypes in ADNI: Progress, opportunities, and plans.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2015
    Review
  17. Magnetic resonance imaging in Alzheimer's Disease Neuroimaging Initiative 2.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2015
    Article
  18. Article
  19. 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

18 authors at 6 institutions in 2 countries.

Nicholus M WarstadtImaging Genetics Center, Institute for Neuroimaging and Informatics, Keck School of Medicine of the University of Southern California, Los Angeles, CA, USA.
Emily L DennisImaging Genetics Center, Institute for Neuroimaging and Informatics, Keck School of Medicine of the University of Southern California, Los Angeles, CA, USA.
Neda JahanshadImaging Genetics Center, Institute for Neuroimaging and Informatics, Keck School of Medicine of the University of Southern California, Los Angeles, CA, USA.
Omid KohannimDepartment of Neurology, UCLA School of Medicine, Los Angeles, CA, USA.
Talia M NirImaging Genetics Center, Institute for Neuroimaging and Informatics, Keck School of Medicine of the University of Southern California, Los Angeles, CA, USA.
Katie L McMahonCentre for Advanced Imaging, University of Queensland, Brisbane, Australia.
Greig I de ZubicaraySchool of Psychology, University of Queensland, Brisbane, Australia.
Grant W MontgomeryQueensland Institute of Medical Research Berghofer Medical Research Institute, Brisbane, Australia.
Anjali K HendersQueensland Institute of Medical Research Berghofer Medical Research Institute, Brisbane, Australia.
Nicholas G MartinQueensland Institute of Medical Research Berghofer Medical Research Institute, Brisbane, Australia.
John B WhitfieldQueensland Institute of Medical Research Berghofer Medical Research Institute, Brisbane, Australia.
Clifford R JackDepartment of Radiology, Mayo Clinic and Foundation, Rochester, MN, USA.
Matt A BernsteinDepartment of Radiology, Mayo Clinic and Foundation, Rochester, MN, USA.
Michael W WeinerDepartment of Radiology and Biomedical Imaging, UCSF School of Medicine, San Francisco, CA, USA; Veteran Affairs Medical Center, San Francisco, CA, USA.
Arthur W TogaLaboratory of Neuro Imaging, Institute for Neuroimaging and Informatics, USC Keck School of Medicine, Los Angeles, CA, USA.
Margaret J WrightSchool of Psychology, University of Queensland, Brisbane, Australia; Queensland Institute of Medical Research Berghofer Medical Research Institute, Brisbane, Australia.
Paul M ThompsonImaging Genetics Center, Institute for Neuroimaging and Informatics, Keck School of Medicine of the University of Southern California, Los Angeles, CA, USA; Department of Neurology, UCLA School of Medicine, Los Angeles, CA, USA. Electronic address: pthomp@usc.edu.
Alzheimer's Disease Neuroimaging Initiative (ADNI)
University of Southern California · USQIMR Berghofer Medical Research Institute · AUThe University of Queensland · AUMayo Clinic · USSan Francisco VA Medical Center · USUniversity of California, Los Angeles · US

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
YALE CENTER FOR THE: LEARNING &ATTENTIONP41RR013642 · NCRR · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI SMALL, GARY WILLIAM · 1998 to 2011
$21.9M
TR&D3: Intrinsic Surface MappingP41EB015922 · NIBIB · UNIVERSITY OF SOUTHERN CALIFORNIA · PI VAN HORN, JOHN DARRELL · 2012 to 2022
$14.1M
Training U54EB020403 · NIBIB · UNIVERSITY OF SOUTHERN CALIFORNIA · PI THOMPSON, PAUL M · 2014 to 2018
$10.1M
Growth factors, neuroinflammation, exercise, and brain integrityRF1AG041915 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI THOMPSON, PAUL M · 2014 to 2014
$2.9M
HARDI Mapping of Disease Effects on the BrainR01EB008432 · NIBIB · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI THOMPSON, PAUL M · 2009 to 2012
$2.6M
Genetic influences on the brain: A twin imaging studyR01HD050735 · NICHD · QUEENSLAND INSTITUTE OF MEDICAL RESEARCH · PI WRIGHT, MARGARET JANE · 2007 to 2011
$2.6M
Alzheimer's disease risk analyzed using population imaging genomicsR01AG040060 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI THOMPSON, PAUL M · 2011 to 2016
$2.5M
Training Grant in Neurobehavioral GeneticsT32MH073526 · NIMH · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI BEARDEN, CARRIE E, GESCHWIND, DANIEL H · 2006 to 2020
$2.4M
Genetic Influences on Human Neuroanatomical ShapesR01MH094343 · NIMH · UNIVERSITY OF SOUTHERN CALIFORNIA · PI TOGA, ARTHUR W · 2012 to 2016
$2.4M
A Multidimensional Alzheimer's Disease Brain AtlasR01EB008281 · NIBIB · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI THOMPSON, PAUL M · 2007 to 2010
$1.4M
NCRR NIH HHS P41 RR013642NCRR NIH HHS P41RR013642NIA NIH HHS R01 AG040060NIA NIH HHS RF1 AG041915NIA NIH HHS U01 AG024904NIA NIH HHS U24 AG021886NIBIB NIH HHS EB007813NIBIB NIH HHS EB008281NIBIB NIH HHS EB008432NIBIB NIH HHS P41 EB015922NIBIB NIH HHS R01 EB007813NIBIB NIH HHS R01 EB008281NIBIB NIH HHS R01 EB008432NIBIB NIH HHS U54 EB020403NICHD NIH HHS R01 HD050735NIMH NIH HHS 5R01MH094343.NIMH NIH HHS R01 MH094343NIMH NIH HHS T32 MH073526NIMH NIH HHS T32 MH073526-06
6 · The paper itself

Abstract

Several common genetic variants influence cholesterol levels, which play a key role in overall health. Myelin synthesis and maintenance are highly sensitive to cholesterol concentrations, and abnormal cholesterol levels increase the risk for various brain diseases, including Alzheimer's disease. We report significant associations between higher serum cholesterol (CHOL) and high-density lipoprotein levels and higher fractional anisotropy in 403 young adults (23.8 ± 2.4 years) scanned with diffusion imaging and anatomic magnetic resonance imaging at 4 Tesla. By fitting a multi-locus genetic model within white matter areas associated with CHOL, we found that a set of 18 cholesterol-related, single-nucleotide polymorphisms implicated in Alzheimer's disease risk predicted fractional anisotropy. We focused on the single-nucleotide polymorphism with the largest individual effects, CETP (rs5882), and found that increased G-allele dosage was associated with higher fractional anisotropy and lower radial and mean diffusivities in voxel-wise analyses of the whole brain. A follow-up analysis detected white matter associations with rs5882 in the opposite direction in 78 older individuals (74.3 ± 7.3 years). Cholesterol levels may influence white matter integrity, and cholesterol-related genes may exert age-dependent effects on the brain.

Indexed as

Polymorphism, Single NucleotideAdultAgingAllelesAlzheimer DiseaseAnisotropyCholesterolCholesterol Ester Transfer ProteinsDiffusion Magnetic Resonance ImagingFemaleFollow-Up StudiesForecastingHumansMaleMyelin SheathRiskCETP protein, humanCholesterolCholesterol Ester Transfer ProteinsAgingBrain structureCholesterolDevelopmentDTIImaging genetics

Identifiers

PMID24997672
PMCPMC4198330
OpenAlexW2093199004

What OpenQuestion holds

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Read underepoch 390

Registered trials

None linked

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.