Evidence map›Paper›PMID 20691427›Full record

ArticleBiological psychiatry2010

Genetic associations of brain structural networks in schizophrenia: a preliminary study.

Kanchana Jagannathan, Vince D Calhoun, Joel Gelernter, Michael C Stevens, Jingyu Liu, Federico Bolognani, Andreas Windemuth, Gualberto Ruaño, Michal Assaf, Godfrey D Pearlson

Open access · greenAbstract read
In one paragraph

Article in Biological psychiatry, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 1 pooled it
2.4field-weighted citation impact, top 12% 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

28 citing papers in PubMed, 1 synthesis or guideline pooled it, 56 citations in OpenAlex.

  1. Pooled it
  2. Article
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  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Time to Recover From Daily Caffeine Intake.Frontiers in nutrition · 2021
    Article
  10. Article
  11. Association between theNeuropsychiatric disease and treatment · 2019
    Article
  12. Article
  13. Multimodal fusion of brain imaging data: A key to finding the missing link(s) in complex mental illness.Biological psychiatry. Cognitive neuroscience and neuroimaging · 2016
    Article
  14. Article
  15. Article
  16. Review
  17. Review
  18. Article
  19. A review of multivariate analyses in imaging genetics.Frontiers in neuroinformatics · 2014
    Review
  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

10 authors at 8 institutions in 1 country.

Kanchana JagannathanOlin Neuropsychiatry Research Center, Institute of Living/Hartford Hospital, Hartford, Connecticut 06106, USA. Kjagannathan@harthosp.org
Vince D Calhoun
Joel Gelernter
Michael C Stevens
Jingyu Liu
Federico Bolognani
Andreas Windemuth
Gualberto Ruaño
Michal Assaf
Godfrey D Pearlson
Hartford Financial Services (United States)Genomas (United States) · USHartford Hospital · USMethodist Hospital · USMind Research Network · USUniversity of New Mexico · USVA Connecticut Healthcare System · USYale University · US

Funding

Multivariate methods for identifying multitask/multimodal brain imaging biomarkersR01EB006841 · NIBIB · THE MIND RESEARCH NETWORK · PI VINCE D CALHOUN, Sergey Plis · 2007 to 2026
$9.8M
Bipolar & Schizophrenia Consortium for Parsing Intermediate PhenotypesR01MH077945 · NIMH · YALE UNIVERSITY · PI PEARLSON, GODFREY D · 2007 to 2019
$7.6M
Informed Data-Driven Fusion of Behavior, Brain Function, and GenesR01EB005846 · NIBIB · THE MIND RESEARCH NETWORK · PI CALHOUN, VINCE D · 2005 to 2016
$5.5M
Quantitative Neuroimaging in Psychosis; DTI StudiesR37MH043775 · NIMH · HARTFORD HOSPITAL · PI PEARLSON, GODFREY D · 2005 to 2012
$4.8M
Unified multivariate data-driven solutions for static and dynamic brain connectivityR01EB020407 · NIBIB · THE MIND RESEARCH NETWORK · PI ADALI, TULAY, CALHOUN, VINCE D · 2015 to 2018
$2.7M
Schizophrenia Biomarkers: Memory, Genes and fMRIR01MH074797 · NIMH · HARTFORD HOSPITAL · PI PEARLSON, GODFREY D · 2007 to 2010
$1.5M
MRI DNA Biomarkers for Neuropsychiatric DiseaseR44MH075481 · NIMH · GENOMAS, INC. · PI RUANO, GUALBERTO · 2009 to 2011
$1.3M
Physiogenomic Arrays for Clinical NeuropsychiatryR43MH075481 · NIMH · GENOMAS, INC. · PI RUANO, GUALBERTO · 2005 to 2006
$400k
NIBIB NIH HHS R01 EB005846NIBIB NIH HHS R01 EB006841NIBIB NIH HHS R01 EB020407NIMH NIH HHS R01 MH074797NIMH NIH HHS R01 MH077945NIMH NIH HHS R37 MH043775NIMH NIH HHS R37 MH43775NIMH NIH HHS R43 MH075481NIMH NIH HHS R43MH075481NIMH NIH HHS R44 MH075481
6 · The paper itself

Abstract

backgroundSchizophrenia is a complex genetic disorder, with multiple putative risk genes and many reports of reduced cortical gray matter. Identifying the genetic loci contributing to these structural alterations in schizophrenia (and likely also to normal structural gray matter patterns) could aid understanding of schizophrenia's pathophysiology. We used structural parameters as potential intermediate illness markers to investigate genomic factors derived from single nucleotide polymorphism (SNP) arrays.

methodWe used research quality structural magnetic resonance imaging (sMRI) scans from European American subjects including 33 healthy control subjects and 18 schizophrenia patients. All subjects were genotyped for 367 SNPs. Linked sMRI and genetic (SNP) components were extracted to reveal relationships between brain structure and SNPs, using parallel independent component analysis, a novel multivariate approach that operates effectively in small sample sizes.

resultsWe identified an sMRI component that significantly correlated with a genetic component (r = -.536, p < .00005); components also distinguished groups. In the sMRI component, schizophrenia gray matter deficits were in brain regions consistently implicated in previous reports, including frontal and temporal lobes and thalamus (p < .01). These deficits were related to SNPs from 16 genes, several previously associated with schizophrenia risk and/or involved in normal central nervous system development, including AKT, PI3K, SLC6A4, DRD2, CHRM2, and ADORA2A.

conclusionsDespite the small sample size, this novel analysis method identified an sMRI component including brain areas previously reported to be abnormal in schizophrenia and an associated genetic component containing several putative schizophrenia risk genes. Thus, we identified multiple genes potentially underlying specific structural brain abnormalities in schizophrenia.

Indexed as

Brain MappingGenetic Predisposition to DiseaseAdultBrainFemaleGenetic VariationGenome-Wide Association StudyHumansMagnetic Resonance ImagingMaleMiddle AgedNerve Tissue ProteinsPolymorphism, Single NucleotidePsychiatric Status Rating ScalesSchizophreniaNerve Tissue Proteins

Identifiers

PMID20691427
PMCPMC2990476
OpenAlexW2069306547

What OpenQuestion holds

Textmetadata
LicenceTDM
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.