Evidence map›Paper›PMID 16978446›Full record

ReviewPsychological medicine2007

The endophenotype concept in psychiatric genetics.

Jonathan Flint, Marcus R Munafò

Abstract readReview
In one paragraph

Review in Psychological medicine, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 180 papers, 13 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
180citing papers in PubMed, 13 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

180 citing papers in PubMed, 13 syntheses or guidelines pooled it.

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  14. Serotonergic and noradrenergic modulation of emotion processing by single dose antidepressants.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2010
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  15. Association of COMT Val108/158Met genotype with smoking cessation in a nicotine replacement therapy randomized trial.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2007
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120 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

2 authors.

Jonathan FlintWellcome Trust Centre for Human Genetics, University of Oxford, Oxford, UK.
Marcus R Munafò

Funding

Wellcome Trust
6 · The paper itself

Abstract

The idea that some phenotypes bear a closer relationship to the biological processes that give rise to psychiatric illness than diagnostic categories has attracted considerable interest. Much effort has been devoted to finding such endophenotypes, partly because it is believed that the genetic basis of endophenotypes will be easier to analyse than that of psychiatric disease. This belief depends in part on the assumption that the effect sizes of genetic loci contributing to endophenotypes are larger than those contributing to disease susceptibility, hence increasing the chance that genetic linkage and association tests will detect them. We examine this assumption by applying meta-analytical techniques to genetic association studies of endophenotypes. We find that the genetic effect sizes of the loci examined to date are no larger than those reported for other phenotypes. A review of the genetic architecture of traits in model organisms also provides no support for the view that the effect sizes of loci contributing to phenotypes closer to the biological basis of disease is any larger than those contributing to disease itself. While endophenotype measures may afford greater reliability, it should not be assumed that they will also demonstrate simpler genetic architecture.

Indexed as

PhenotypePsychiatryCatechol O-MethyltransferaseGenotypeHumansMental DisordersModels, GeneticModels, PsychologicalPsychotic DisordersCatechol O-Methyltransferase

Identifiers

PMID16978446
PMCPMC2829981

What OpenQuestion holds

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LicenceCC BY-NC-SA
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.