Evidence map›Paper›PMID 24015190›Full record

ArticlePloS one2013

Mapping the genetic variation of regional brain volumes as explained by all common SNPs from the ADNI study.

Christopher Bryant, Kelly S Giovanello, Joseph G Ibrahim, Jing Chang, Dinggang Shen, Bradley S Peterson, Hongtu Zhu, Alzheimer's Disease Neuroimaging Initiative

Abstract read
In one paragraph

Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Genetics and brain morphology.Neuropsychology review · 2015
    Article
  12. Article
  13. Article
  14. Review
  15. Genomics in neurological disorders.Genomics, proteomics & bioinformatics · 2014
    Review
  16. 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

8 authors.

Christopher BryantDepartment of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States of America.
Kelly S Giovanello
Joseph G Ibrahim
Jing Chang
Dinggang Shen
Bradley S Peterson
Hongtu Zhu
Alzheimer's Disease Neuroimaging Initiative

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
Satellite Diagnostic and Treatment Clinic CoreP50AG008702 · NIA · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI DE JAGER, PHILIP L · 1989 to 2019
$46.3M
VESICULAR LOCALIZATION AND FUNCTION OF PRESENILIN 1 FRAGMENTP50AG005138 · NIA · MOUNT SINAI SCHOOL OF MEDICINE OF NYU · PI SCHIMMING, CORBETT · 1985 to 2019
$37.9M
PSYCHOSOCIAL COREP30AG008051 · NIA · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI WISNIEWSKI, THOMAS M · 1990 to 2019
$36.1M
Neuropathology CoreP30AG013846 · NIA · BOSTON UNIVERSITY MEDICAL CAMPUS · PI KOWALL, NEIL W. · 1996 to 2020
$29.1M
UC Davis Alzheimer's Disease Core CenterP30AG010129 · NIA · UNIVERSITY OF CALIFORNIA DAVIS · PI DECARLI, CHARLES · 1991 to 2020
$28.3M
Biostatistics for Research in Genomics and CancerT32CA106209 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI JOSEPH G IBRAHIM, Naim Ur Rashid · 2004 to 2026
$4.8M
"MR Morphometrics and Cognitive Decline Rate in Large-Scale Aging Studies"K01AG030514 · NIA · UNIVERSITY OF CALIFORNIA AT DAVIS · PI CARMICHAEL, OWEN T. · 2008 to 2012
$495k
NCI NIH HHS T32 CA106209NIA NIH HHS K01 AG030514NIA NIH HHS P30 AG008051NIA NIH HHS P30 AG010129NIA NIH HHS P30 AG013846NIA NIH HHS P50 AG005138NIA NIH HHS P50 AG008702NIA NIH HHS U01 AG024904NIA NIH HHS U24 AG021886
6 · The paper itself

Abstract

Typically twin studies are used to investigate the aggregate effects of genetic and environmental influences on brain phenotypic measures. Although some phenotypic measures are highly heritable in twin studies, SNPs (single nucleotide polymorphisms) identified by genome-wide association studies (GWAS) account for only a small fraction of the heritability of these measures. We mapped the genetic variation (the proportion of phenotypic variance explained by variation among SNPs) of volumes of pre-defined regions across the whole brain, as explained by 512,905 SNPs genotyped on 747 adult participants from the Alzheimer's Disease Neuroimaging Initiative (ADNI). We found that 85% of the variance of intracranial volume (ICV) (p = 0.04) was explained by considering all SNPs simultaneously, and after adjusting for ICV, total grey matter (GM) and white matter (WM) volumes had genetic variation estimates near zero (p = 0.5). We found varying estimates of genetic variation across 93 non-overlapping regions, with asymmetry in estimates between the left and right cerebral hemispheres. Several regions reported in previous studies to be related to Alzheimer's disease progression were estimated to have a large proportion of volumetric variance explained by the SNPs.

Indexed as

Polymorphism, Single NucleotideAgedAged, 80 and overAlzheimer DiseaseBrainFemaleGenome-Wide Association StudyHumansMaleMiddle AgedOrgan SizePhenotype

Identifiers

PMID24015190
PMCPMC3756017

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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.