Evidence map›Paper›PMID 24507187›Full record

ReviewNeuron2014

The genetics of major depression.

Jonathan Flint, Kenneth S Kendler

Erratum issuedAbstract readReview
In one paragraph

Review in Neuron, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 286 papers, 14 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
286citing papers in PubMed, 14 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

286 citing papers in PubMed, 14 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Pooled it
  6. Pooled it
  7. Pooled it
  8. Pooled it
  9. Pooled it
  10. Pooled it
  11. Pooled it
  12. Common variants on 6q16.2, 12q24.31 and 16p13.3 are associated with major depressive disorder.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2018
    Pooled it
  13. Pooled it
  14. Pooled it
  15. Trial
  16. Response to therapeutic sleep deprivation: a naturalistic study of clinical and genetic factors and post-treatment depressive symptom trajectory.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2018
    Trial
  17. Article
  18. Article
  19. Article
  20. Article

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

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors.

Jonathan FlintWellcome Trust Centre for Human Genetics, Roosevelt Drive, Oxford, OX3 7BN. Electronic address: jf@well.ox.ac.uk.
Kenneth S KendlerVirginia Commonwealth University, Department of Psychiatry, Virginia Institute for Psychiatric and Behavioral Genetics, Richmond, VA 23298-0126, USA.

Funding

The Molecular Genetics of Recurrent Major Depression in Chinese WomenR01MH100549 · NIMH · VIRGINIA COMMONWEALTH UNIVERSITY · PI KENDLER, KENNETH SEEDMAN · 2013 to 2015
$2.0M
NIMH NIH HHS MH100549NIMH NIH HHS R01 MH100549Wellcome Trust 090532
6 · The paper itself

Abstract

Major depression is the commonest psychiatric disorder and in the U.S. has the greatest impact of all biomedical diseases on disability. Here we review evidence of the genetic contribution to disease susceptibility and the current state of molecular approaches. Genome-wide association and linkage results provide constraints on the allele frequencies and effect sizes of susceptibility loci, which we use to interpret the voluminous candidate gene literature. We consider evidence for the genetic heterogeneity of the disorder and the likelihood that subtypes exist that represent more genetically homogenous conditions than have hitherto been analyzed.

Indexed as

Genetic LinkageGenetic VariationGenetic Association StudiesGenetic Predisposition to DiseaseHumansMajor Depressive DisorderMolecular Epidemiology

Identifiers

PMID24507187
PMCPMC3919201

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.