Evidence map›Paper›PMID 24464604›Full record

ReviewAmerican journal of medical genetics. Part B, Neuropsychiatric genetics : the official publication of the International Society of Psychiatric Genetics2014

Arguments for the sake of endophenotypes: examining common misconceptions about the use of endophenotypes in psychiatric genetics.

David C Glahn, Emma E M Knowles, D Reese McKay, Emma Sprooten, Henriette Raventós, John Blangero, Irving I Gottesman, Laura Almasy

Abstract readReview
In one paragraph

Review in American journal of medical genetics. Part B, Neuropsychiatric genetics : the official publication of the International Society of Psychiatric Genetics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 76 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
76citing papers in PubMed, 3 pooled it
–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

76 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. ERP indices of performance monitoring and feedback processing in psychosis: A meta-analysis.International journal of psychophysiology : official journal of the International Organization of Psychophysiology · 2018
    Pooled it
  3. Pooled it
  4. Review
  5. Article
  6. Article
  7. Article
  8. Genetic Vulnerability to Social Anxiety Disorder.Current topics in behavioral neurosciences · 2025
    Review
  9. Review
  10. Article
  11. Article
  12. Genetic Influences on Cognitive Dysfunction in Schizophrenia.Current topics in behavioral neurosciences · 2023
    Article
  13. Article
  14. Article
  15. MICEmi: A method to identify cognitive endophenotypes of mental illnesses.European psychiatry : the journal of the Association of European Psychiatrists · 2022
    Review
  16. Article
  17. Article
  18. Review
  19. Article
  20. Review

16 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

8 authors.

David C GlahnDepartment of Psychiatry, Yale University School of Medicine, New Haven, Connecticut; Olin Neuropsychiatry Research Center, Institute of Living, Hartford, Connecticut.
Emma E M Knowles
D Reese McKay
Emma Sprooten
Henriette Raventós
John Blangero
Irving I Gottesman
Laura Almasy

Funding

PSYCHOPHARMACOLOGY--ORAL ALCOHOL CHALLENGE/ALCOHOL CLAMPINGU10AA008403 · NIAAA · SUNY DOWNSTATE MEDICAL CENTER · PI BEGLEITER, HENRI · 1989 to 2003
$23.7M
Whole Genome Sequencing to Identify Causal Genetic Variants Influencing CVD RiskR01HL113323 · NHLBI · UNIVERSITY OF TEXAS RIO GRANDE VALLEY · PI BLANGERO, JOHN, CURRAN, JOANNE E. · 2012 to 2016
$8.2M
Quantitative Trait Locus Mapping in Human PedigreesR37MH059490 · NIMH · TEXAS BIOMEDICAL RESEARCH INSTITUTE · PI BLANGERO, JOHN · 2001 to 2010
$6.8M
A Neurobehavioral Family Study of SchizophreniaR01MH061622 · NIMH · UNIVERSITY OF TEXAS RIO GRANDE VALLEY · PI ALMASY, LAURA A. · 2001 to 2018
$4.9M
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
Genetics of Brain Structure and Function: Genome-Wide AssociationR01MH083824 · NIMH · YALE UNIVERSITY · PI GLAHN, DAVID C · 2008 to 2013
$3.3M
Influence of Psychosis on Brain-Behavior Endophenotypes for Bipolar DisorderR01MH080912 · NIMH · YALE UNIVERSITY · PI GLAHN, DAVID C · 2008 to 2012
$2.6M
Characterization of a Mendelian Form of Psychosis in a Population IsolateR56MH097940 · NIMH · TEXAS BIOMEDICAL RESEARCH INSTITUTE · PI ALMASY, LAURA A., GLAHN, DAVID C · 2012 to 2013
$1.2M
1/5 - Genetics of Transcriptional Endophenotypes for SchizophreniaR01MH093740 · NIMH · TEXAS BIOMEDICAL RESEARCH INSTITUTE · PI ALMASY, LAURA A. · 2012 to 2014
$1.1M
QUANTITATIVE TRAIT LOCUS MAPPING IN HUMAN PEDIGREESR01MH059490 · NIMH · SOUTHWEST FOUNDATION FOR BIOMEDICAL RES · PI BLANGERO, JOHN · 1998 to 2000
$426k
NHLBI NIH HHS HL11323NHLBI NIH HHS R01 HL113323NIAAA NIH HHS AA08403NIMH NIH HHS MH061622NIMH NIH HHS MH0708143NIMH NIH HHS MH078111NIMH NIH HHS MH080912NIMH NIH HHS MH083824NIMH NIH HHS MH093740NIMH NIH HHS MH097940NIMH NIH HHS MH59490NIMH NIH HHS R01 MH059490NIMH NIH HHS R01 MH061622NIMH NIH HHS R01 MH078111NIMH NIH HHS R01 MH078143NIMH NIH HHS R01 MH080912NIMH NIH HHS R01 MH083824NIMH NIH HHS R01 MH093740NIMH NIH HHS R37 MH059490NIMH NIH HHS R56 MH097940
6 · The paper itself

Abstract

Endophenotypes are measurable biomarkers that are correlated with an illness, at least in part, because of shared underlying genetic influences. Endophenotypes may improve our power to detect genes influencing risk of illness by being genetically simpler, closer to the level of gene action, and with larger genetic effect sizes or by providing added statistical power through their ability to quantitatively rank people within diagnostic categories. Furthermore, they also provide insight into the mechanisms underlying illness and will be valuable in developing biologically-based nosologies, through efforts such as RDoC, that seek to explain both the heterogeneity within current diagnostic categories and the overlapping clinical features between them. While neuroimaging, electrophysiological, and cognitive measures are currently most used in psychiatric genetic studies, researchers currently are attempting to identify candidate endophenotypes that are less genetically complex and potentially closer to the level of gene action, such as transcriptomic and proteomic phenotypes. Sifting through tens of thousands of such measures requires automated, high-throughput ways of assessing, and ranking potential endophenotypes, such as the Endophenotype Ranking Value. However, despite the potential utility of endophenotypes for gene characterization and discovery, there is considerable resistance to endophenotypic approaches in psychiatry. In this review, we address and clarify some of the common issues associated with the usage of endophenotypes in the psychiatric genetics community.

Indexed as

EndophenotypesProteomicsPsychiatryAnimalsBiomarkersBrainGenetic Predisposition to DiseaseHumansBiomarkersbipolar disorderdepressionendophenotypepsychiatric geneticsschizophrenia

Identifiers

PMID24464604
PMCPMC4078653

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.