Evidence map›Paper›PMID 25216981›Full record

ReviewTrends in neurosciences2014

Assessing the utility of intermediate phenotypes for genetic mapping of psychiatric disease.

Jonathan Flint, Nicholas Timpson, Marcus Munafò

Abstract readReview
In one paragraph

Review in Trends in neurosciences, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers.

0numbers the graph read from it
0cells of the map it votes in
51citing 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

51 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Genetic Vulnerability to Social Anxiety Disorder.Current topics in behavioral neurosciences · 2025
    Review
  8. Review
  9. Review
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
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  18. Article
  19. Neuroimaging genetic associations betweenJournal of clinical and experimental neuropsychology · 2021
    Article
  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

3 authors.

Jonathan FlintWellcome Trust Centre for Human Genetics, Oxford OX3 7BN, UK. Electronic address: jf@well.ox.ac.uk.
Nicholas TimpsonMRC Integrative Epidemiology Unit, University of Bristol, Bristol BS8 2BN, UK.
Marcus MunafòMRC Integrative Epidemiology Unit, University of Bristol, Bristol BS8 2BN, UK; UK Centre for Tobacco and Alcohol Studies and School of Experimental Psychology, University of Bristol, Bristol BS8 1TU, UK.

Funding

British Heart FoundationMedical Research Council MC_PC_15018Medical Research Council MC_UU_12013/3Medical Research Council MC_UU_12013/6Wellcome Trust
6 · The paper itself

Abstract

Intermediate phenotypes are traits positioned somewhere between genetic variation and disease. They represent a target for attempts to find disease-associated genetic variants and elucidation of mechanisms. Psychiatry has been particularly enamoured with intermediate phenotypes, due to uncertainty about disease aetiology, inconclusive results in early psychiatric genetic studies, and their appeal relative to traditional diagnostic categories. In this review, we argue that new genetic findings are relevant to the question of the utility of these constructs. In particular, results from genome-wide association studies of psychiatric disorders now allow an assessment of the potential role of particular intermediate phenotypes. Based on such an analysis, as well as other recent results, we conclude that intermediate phenotypes are likely to be most valuable in understanding mechanism.

Indexed as

Chromosome MappingGenetic Predisposition to DiseaseGenome-Wide Association StudyPhenotypeHumansMental DisordersPolymorphism, Single Nucleotide

Identifiers

PMID25216981
PMCPMC4961231

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.