Evidence map›Paper›PMID 25523635›Full record

ArticleNeurobiology of aging2015

Heritability and genetic association analysis of neuroimaging measures in the Diabetes Heart Study.

Laura M Raffield, Amanda J Cox, Christina E Hugenschmidt, Barry I Freedman, Carl D Langefeld, Jeff D Williamson, Fang-Chi Hsu, Joseph A Maldjian, Donald W Bowden

Abstract read
In one paragraph

Article in Neurobiology of aging, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–field-weighted citation impact
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

13 citing papers in PubMed.

  1. Article
  2. Article
  3. Measuring cerebral perfusion with [Brain communications · 2021
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  4. Article
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  12. Analysis of advanced glycation end products in the DHS Mind Study.Journal of diabetes and its complications · 2016
    Article
  13. 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

9 authors.

Laura M RaffieldMolecular Genetics and Genomics Program, Wake Forest School of Medicine, Winston-Salem, NC, USA; Center for Genomics and Personalized Medicine Research, Wake Forest School of Medicine, Winston-Salem, NC, USA; Center for Diabetes Research, Wake Forest School of Medicine, Winston-Salem, NC, USA.
Amanda J CoxCenter for Genomics and Personalized Medicine Research, Wake Forest School of Medicine, Winston-Salem, NC, USA; Center for Diabetes Research, Wake Forest School of Medicine, Winston-Salem, NC, USA; Department of Biochemistry, Wake Forest School of Medicine, Winston-Salem, NC, USA.
Christina E HugenschmidtDepartment of Gerontology and Geriatrics, Wake Forest School of Medicine, Winston-Salem, NC, USA.
Barry I FreedmanDepartment of Internal Medicine-Nephrology, Wake Forest School of Medicine, Winston-Salem, NC, USA.
Carl D LangefeldDepartment of Biostatistical Sciences, Wake Forest School of Medicine, Winston-Salem, NC, USA.
Jeff D WilliamsonDepartment of Gerontology and Geriatrics, Wake Forest School of Medicine, Winston-Salem, NC, USA.
Fang-Chi HsuDepartment of Biostatistical Sciences, Wake Forest School of Medicine, Winston-Salem, NC, USA.
Joseph A MaldjianDepartment of Radiology, Wake Forest School of Medicine, Winston-Salem, NC, USA.
Donald W BowdenCenter for Genomics and Personalized Medicine Research, Wake Forest School of Medicine, Winston-Salem, NC, USA; Center for Diabetes Research, Wake Forest School of Medicine, Winston-Salem, NC, USA; Department of Biochemistry, Wake Forest School of Medicine, Winston-Salem, NC, USA. Electronic address: dbowden@wakehealth.edu.

Funding

WORKER PROTECTION AGAINST AIRBORNE INFLUENZA - A PILOT STUDYM01RR007122 · NCRR · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI HUNDLEY, WILLIAM GREGORY · 1992 to 2010
$35.2M
Epidemiology of cardiovascular disease in diabetesR01HL067348 · NHLBI · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI BOWDEN, DONALD W · 2001 to 2004
$4.3M
Genetic Epidemiology of Cerebrovascular Disease and Cognition in DiabetesR01NS058700 · NINDS · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI BOWDEN, DONALD W · 2008 to 2012
$3.0M
Cerebrovascular Disease and Cognitive Performance in African AmericansR01NS075107 · NINDS · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI DIVERS, JASMIN, FREEDMAN, BARRY IRA · 2011 to 2015
$2.8M
Whole Genome Association Analysis of the Diabetes Heart StudyR01HL092301 · NHLBI · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI BOWDEN, DONALD W · 2010 to 2013
$2.7M
Cognitive/Brain Effects of Adding Weight Loss to Exercise in Obese Older AdultsK01AG043547 · NIA · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI HUGENSCHMIDT, CHRISTINA E · 2013 to 2017
$609k
Genetic and imaging analysis of cerebrovascular disease and cognition in diabetesF32DK083214 · NIDDK · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI HUGENSCHMIDT, CHRISTINA E · 2008 to 2011
$157k
Analysis of Coding Variants Associated with Age-Related PhenotypesF31AG044879 · NIA · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI RAFFIELD, LAURA M · 2013 to 2015
$86k
Genetic Epidemiology of Vascular Calcified PlaqueF32HL085989 · NHLBI · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI LEHTINEN, ALLISON · 2006 to 2008
$69k
NCRR NIH HHS M01 RR007122NCRR NIH HHS M01 RR07122NHLBI NIH HHS F32 HL085989NHLBI NIH HHS R01 HL067348NHLBI NIH HHS R01 HL092301NHLBI NIH HHS R01 HL67348NIA NIH HHS F31 AG044879NIA NIH HHS K01 AG043547NIDDK NIH HHS F32 DK083214NIDDK NIH HHS F32 DK083214-01NINDS NIH HHS R01 NS058700NINDS NIH HHS R01 NS075107
6 · The paper itself

Abstract

Patients with type 2 diabetes are at increased risk of age-related cognitive decline and dementia. Neuroimaging measures such as white matter lesion volume, brain volume, and fractional anisotropy may reflect the pathogenesis of these cognitive declines, and genetic factors may contribute to variability in these measures. This study examined multiple neuroimaging measures in 465 participants from 238 families with extensive genotype data in the type 2 diabetes enriched Diabetes Heart Study-Mind cohort. Heritability of these phenotypes and their association with candidate single-nucleotide polymorphisms (SNPs), and SNP data from genome- and exome-wide arrays were explored. All neuroimaging measures analyzed were significantly heritable (ĥ(2) = 0.55-0.99 in unadjusted models). Seventeen candidate SNPs (from 16 genes/regions) associated with neuroimaging phenotypes in prior studies showed no significant evidence of association. A missense variant (rs150706952, A432V) in PLEKHG4B from the exome-wide array was significantly associated with white matter mean diffusivity (p = 3.66 × 10(-7)) and gray matter mean diffusivity (p = 2.14 × 10(-7)). This analysis suggests genetic factors contribute to variation in neuroimaging measures in a population enriched for metabolic disease and other associated comorbidities.

Indexed as

Diffusion Magnetic Resonance ImagingGenetic Association StudiesNeuroimagingAgedCognition DisordersCohort StudiesDementiaDiabetes Mellitus, Type 2FemaleGenetic Predisposition to DiseaseGenotypeGray MatterGuanine Nucleotide Exchange FactorsHumansMaleMiddle AgedGuanine Nucleotide Exchange FactorsPLEKHG4 protein, humanSpectrinGeneticsHeritabilityMagnetic resonance imagingType 2 diabetes

Identifiers

PMID25523635
PMCPMC4346514

What OpenQuestion holds

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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.