Evidence map›Paper›PMID 24508314›Full record

ArticleNeurobiology of aging2014

Alzheimer's disease susceptibility genes APOE and TOMM40, and brain white matter integrity in the Lothian Birth Cohort 1936.

Donald M Lyall, Sarah E Harris, Mark E Bastin, Susana Muñoz Maniega, Catherine Murray, Michael W Lutz, Ann M Saunders, Allen D Roses, Maria del C Valdés Hernández, Natalie A Royle and 4 more

Open access · hybridAbstract read
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 39 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed, 2 pooled it
8.6field-weighted citation impact, top 2% 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

39 citing papers in PubMed, 2 syntheses or guidelines pooled it, 72 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Article
  5. Review
  6. Article
  7. International journal of molecular sciences · 2023
    Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Bayesian GWAS with Structured and Non-Local Priors.Bioinformatics (Oxford, England) · 2020
    Article
  19. 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

14 authors at 5 institutions in 2 countries.

Donald M LyallCentre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK; Brain Research Imaging Centre, Division of Neuroimaging Sciences, University of Edinburgh, Edinburgh, UK; Department of Psychology, University of Edinburgh, Edinburgh, UK; Medical Genetics Section, University of Edinburgh Centre for Genomics and Experimental Medicine, Western General Hospital, Edinburgh, UK; MRC Institute of Genetics and Molecular Medicine, Western General Hospital, Edinburgh, UK.
Sarah E HarrisCentre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK; Medical Genetics Section, University of Edinburgh Centre for Genomics and Experimental Medicine, Western General Hospital, Edinburgh, UK; MRC Institute of Genetics and Molecular Medicine, Western General Hospital, Edinburgh, UK.
Mark E BastinCentre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK; Brain Research Imaging Centre, Division of Neuroimaging Sciences, University of Edinburgh, Edinburgh, UK; Scottish Imaging Network, A Platform for Scientific Excellence (SINAPSE) Collaboration, Department of Neuroimaging Sciences, The University of Edinburgh, Edinburgh, UK.
Susana Muñoz ManiegaCentre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK; Brain Research Imaging Centre, Division of Neuroimaging Sciences, University of Edinburgh, Edinburgh, UK; Scottish Imaging Network, A Platform for Scientific Excellence (SINAPSE) Collaboration, Department of Neuroimaging Sciences, The University of Edinburgh, Edinburgh, UK.
Catherine MurrayCentre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK; Department of Psychology, University of Edinburgh, Edinburgh, UK.
Michael W LutzDepartment of Neurology, Joseph & Kathleen Bryan Alzheimer's Disease Research Center, Durham, NC, USA; Duke University Medical Center, Durham, NC, USA.
Ann M SaundersDepartment of Neurology, Joseph & Kathleen Bryan Alzheimer's Disease Research Center, Durham, NC, USA.
Allen D RosesDepartment of Neurology, Joseph & Kathleen Bryan Alzheimer's Disease Research Center, Durham, NC, USA; Duke University Medical Center, Durham, NC, USA; Zinfandel Pharmaceuticals, Inc, Durham, NC, USA.
Maria del C Valdés HernándezCentre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK; Brain Research Imaging Centre, Division of Neuroimaging Sciences, University of Edinburgh, Edinburgh, UK; Scottish Imaging Network, A Platform for Scientific Excellence (SINAPSE) Collaboration, Department of Neuroimaging Sciences, The University of Edinburgh, Edinburgh, UK.
Natalie A RoyleCentre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK; Brain Research Imaging Centre, Division of Neuroimaging Sciences, University of Edinburgh, Edinburgh, UK; Scottish Imaging Network, A Platform for Scientific Excellence (SINAPSE) Collaboration, Department of Neuroimaging Sciences, The University of Edinburgh, Edinburgh, UK.
John M StarrCentre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK; Alzheimer Scotland Dementia Research Centre, University of Edinburgh, Edinburgh, UK.
David J PorteousCentre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK; Medical Genetics Section, University of Edinburgh Centre for Genomics and Experimental Medicine, Western General Hospital, Edinburgh, UK; MRC Institute of Genetics and Molecular Medicine, Western General Hospital, Edinburgh, UK.
Joanna M WardlawCentre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK; Brain Research Imaging Centre, Division of Neuroimaging Sciences, University of Edinburgh, Edinburgh, UK; Scottish Imaging Network, A Platform for Scientific Excellence (SINAPSE) Collaboration, Department of Neuroimaging Sciences, The University of Edinburgh, Edinburgh, UK.
Ian J DearyCentre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK; Department of Psychology, University of Edinburgh, Edinburgh, UK. Electronic address: i.deary@ed.ac.uk.
University of Edinburgh · GBDuke Medical Center · USMRC Institute of Genetics and Molecular Medicine · GBAlzheimer Scotland · GBWestern General Hospital · GB

Funding

Biotechnology and Biological Sciences Research Council BB/F019394/1Medical Research Council G0100266Medical Research Council G0700704Medical Research Council G0701120Medical Research Council G1001245Medical Research Council MR/K026992/1Wellcome Trust
6 · The paper itself

Abstract

Apolipoprotein E (APOE) ε genotype has previously been significantly associated with cognitive, brain imaging, and Alzheimer's disease-related phenotypes (e.g., age of onset). In the TOMM40 gene, the rs10524523 ("523") variable length poly-T repeat polymorphism has more recently been associated with similar ph/enotypes, although the allelic directions of these associations have varied between initial reports. Using diffusion magnetic resonance imaging tractography, the present study aimed to investigate whether there are independent effects of apolipoprotein E (APOE) and TOMM40 genotypes on human brain white matter integrity in a community-dwelling sample of older adults, the Lothian Birth Cohort 1936 (mean age = 72.70 years, standard deviation = 0.74, N approximately = 640-650; for most analyses). Some nominally significant effects were observed (i.e., covariate-adjusted differences between genotype groups at p < 0.05). For APOE, deleterious effects of ε4 "risk" allele presence (vs. absence) were found in the right ventral cingulum and left inferior longitudinal fasciculus. To test for biologically independent effects of the TOMM40 523 repeat, participants were stratified into APOE genotype subgroups, so that any significant effects could not be attributed to APOE variation. In participants with the APOE ε3/ε4 genotype, effects of TOMM40 523 status were found in the left uncinate fasciculus, left rostral cingulum, left ventral cingulum, and a general factor of white matter integrity. In all 4 of these tractography measures, carriers of the TOMM40 523 "short" allele showed lower white matter integrity when compared with carriers of the "long" and "very-long" alleles. Most of these effects survived correction for childhood intelligence test scores and vascular disease history, though only the effect of TOMM40 523 on the left ventral cingulum integrity survived correction for false discovery rate. The effects of APOE in this older population are more specific and restricted compared with those reported in previous studies, and the effects of TOMM40 on white matter integrity appear to be novel, although replication is required in large independent samples.

Indexed as

AgedAlzheimer DiseaseApolipoproteins EBrainChildCognitionCohort StudiesDiffusion Tensor ImagingFemaleGenetic Association StudiesGenetic Predisposition to DiseaseGenotypeHumansMaleMembrane Transport ProteinsMitochondrial Precursor Protein Import Complex ProteinsApolipoproteins EMembrane Transport ProteinsMitochondrial Precursor Protein Import Complex ProteinsTOMM40 protein, humanAlzheimer's diseaseAPOECognitive ageingDiffusion MRITOMM40TractographyWhite matter

Identifiers

PMID24508314
PMCPMC3969262
OpenAlexW2145536202

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.