Evidence map›Paper›PMID 17440953›Full record

ReviewHuman brain mapping2007

Neuroimaging endophenotypes: strategies for finding genes influencing brain structure and function.

David C Glahn, Paul M Thompson, John Blangero

Open access · greenAbstract readReview
In one paragraph

Review in Human brain mapping, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 143 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
143citing papers in PubMed, 6 pooled it
9.1field-weighted citation impact, top 1% 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

143 citing papers in PubMed, 6 syntheses or guidelines pooled it, 263 citations in OpenAlex.

  1. Pooled it
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  4. Genetic and environmental influences on neuroimaging phenotypes: a meta-analytical perspective on twin imaging studies.Twin research and human genetics : the official journal of the International Society for Twin Studies · 2012
    Pooled it
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  7. Trial
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  9. Article
  10. Article
  11. Genetic Vulnerability to Social Anxiety Disorder.Current topics in behavioral neurosciences · 2025
    Review
  12. Article
  13. Article
  14. Large-Scale Neuroimaging of Mental Illness.Current topics in behavioral neurosciences · 2024
    Review
  15. Article
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  19. Review
  20. Article

83 more citing papers are in PubMed but not listed here.

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

3 authors at 3 institutions in 1 country.

David C GlahnDepartment of Psychiatry and Research Imaging Center, University of Texas Health Science Center San Antonio, San Antonio, Texas, USA. glahn@uthscsa.edu
Paul M Thompson
John Blangero
Texas Biomedical Research Institute · USThe University of Texas Health Science Center at San Antonio · USUniversity of California, Los Angeles · US

Funding

UCLA ALZHEIMERS DISEASE RESEARCH CENTERP50AG016570 · NIA · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI BREDESEN, DALE E. · 1999 to 2014
$25.9M
Genetics of Brain Structure and FunctionR01MH078111 · NIMH · TEXAS BIOMEDICAL RESEARCH INSTITUTE · PI BLANGERO, JOHN · 2006 to 2014
$4.5M
Genetics of Brain Structure and FunctionR01MH078143 · NIMH · YALE UNIVERSITY · PI GLAHN, DAVID C · 2006 to 2014
$4.3M
Genetic influences on the brain: A twin imaging studyR01HD050735 · NICHD · QUEENSLAND INSTITUTE OF MEDICAL RESEARCH · PI WRIGHT, MARGARET JANE · 2007 to 2011
$2.6M
Novel PDEs for Cortical Mapping and Analysis in DiseaseR21RR019771 · NCRR · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI THOMPSON, PAUL M · 2003 to 2004
$351k
NCRR NIH HHS RR019771NIA NIH HHS AG016570NIBIB NIH HHS EB01651NICHD NIH HHS HD050735NICHD NIH HHS R01 HD050735NIMH NIH HHS MH078111NIMH NIH HHS MH078143NINDS NIH HHS NS049194
6 · The paper itself

Abstract

It is vitally important to identify the genetic determinants of complex brain-related disorders such as autism, dementia, mood disorders, and schizophrenia. However, the search for genes predisposing individuals to these illnesses has been hampered by their genetic and phenotypic complexity and by reliance upon phenomenologically based qualitative diagnostic systems. Neuroimaging endophenotypes are quantitative indicators of brain structure or function that index genetic liability for an illness. These indices will significantly improve gene discovery and help us to understand the functional consequences of specific genes at the level of systems neuroscience. Here, we review the feasibility of using neuroanatomic and neuropsychological measures as endophenotypes for brain-related disorders. Specifically, we examine specific indices of brain structure or function that are genetically influenced and associated with neurological and psychiatric illness. In addition, we review genetic approaches that capitalize on the use of quantitative traits, including those derived from brain images.

Indexed as

Genetic LinkageBrainBrain DiseasesDiagnostic ImagingHumansPhenotype

Identifiers

PMID17440953
PMCPMC6871286
OpenAlexW2132168166

What OpenQuestion holds

Textmetadata
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.