Evidence map›Paper›PMID 29317602›Full record

SynthesisTranslational psychiatry2018

Genome-wide meta-analyses of stratified depression in Generation Scotland and UK Biobank.

Lynsey S Hall, Mark J Adams, Aleix Arnau-Soler, Toni-Kim Clarke, David M Howard, Yanni Zeng, Gail Davies, Saskia P Hagenaars, Ana Maria Fernandez-Pujals, Jude Gibson and 10 more

Abstract readMeta-Analysis
In one paragraph

Synthesis in Translational psychiatry, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed, 2 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

44 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. A Transcriptomic Signature of Depressive Symptoms in Late Life.Biological psychiatry global open science · 2025
    Article
  9. Genome-wide analyses identify 30 loci associated with obsessive-compulsive disorder.medRxiv : the preprint server for health sciences · 2025
    Article
  10. Article
  11. Article
  12. Big data in sarcoidosis.Current opinion in pulmonary medicine · 2024
    Review
  13. Article
  14. Article
  15. Review
  16. Article
  17. Review
  18. Article
  19. The Role of Sex in Genetic Association Studies of Depression.Journal of psychiatry and brain science · 2022
    Article
  20. Sensitive period-regulating genetic pathways and exposure to adversity shape risk for depression.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2022
    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

20 authors.

Lynsey S HallDivision of Psychiatry, University of Edinburgh, Royal Edinburgh Hospital, EH10 5HF, Edinburgh, UK. Lynsey.Hall@newcastle.ac.uk.ORCID http://orcid.org/0000-0002-0624-5303
Mark J AdamsDivision of Psychiatry, University of Edinburgh, Royal Edinburgh Hospital, EH10 5HF, Edinburgh, UK.ORCID http://orcid.org/0000-0002-3599-6018
Aleix Arnau-SolerCentre for Genomic and Experimental Medicine, Institute of Genetics and Molecular Medicine, University of Edinburgh, EH8 9YL, Edinburgh, UK.
Toni-Kim ClarkeDivision of Psychiatry, University of Edinburgh, Royal Edinburgh Hospital, EH10 5HF, Edinburgh, UK.
David M HowardDivision of Psychiatry, University of Edinburgh, Royal Edinburgh Hospital, EH10 5HF, Edinburgh, UK.ORCID http://orcid.org/0000-0002-6005-1972
Yanni ZengDivision of Psychiatry, University of Edinburgh, Royal Edinburgh Hospital, EH10 5HF, Edinburgh, UK.
Gail DaviesDepartment of Psychology, University of Edinburgh, EH8 9YL, Edinburgh, UK.
Saskia P HagenaarsDivision of Psychiatry, University of Edinburgh, Royal Edinburgh Hospital, EH10 5HF, Edinburgh, UK.ORCID http://orcid.org/0000-0001-9697-8596
Ana Maria Fernandez-PujalsDivision of Psychiatry, University of Edinburgh, Royal Edinburgh Hospital, EH10 5HF, Edinburgh, UK.
Jude GibsonDivision of Psychiatry, University of Edinburgh, Royal Edinburgh Hospital, EH10 5HF, Edinburgh, UK.ORCID http://orcid.org/0000-0002-3745-8360
Eleanor M WigmoreDivision of Psychiatry, University of Edinburgh, Royal Edinburgh Hospital, EH10 5HF, Edinburgh, UK.
Thibaud S BoutinMedical Research Council Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh, EH8 9YL, Edinburgh, UK.
Caroline HaywardMedical Research Council Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh, EH8 9YL, Edinburgh, UK.ORCID http://orcid.org/0000-0002-9405-9550
Generation ScotlandA collaboration between the University Medical Schools and National Health Service in Aberdeen, Dundee, Edinburgh and Glasgow, UK.
Major Depressive Disorder Working Group of the Psychiatric Genomics Consortium
David J PorteousCentre for Genomic and Experimental Medicine, Institute of Genetics and Molecular Medicine, University of Edinburgh, EH8 9YL, Edinburgh, UK.ORCID http://orcid.org/0000-0003-1249-6106
Ian J DearyDepartment of Psychology, University of Edinburgh, EH8 9YL, Edinburgh, UK.
Pippa A ThomsonCentre for Genomic and Experimental Medicine, Institute of Genetics and Molecular Medicine, University of Edinburgh, EH8 9YL, Edinburgh, UK.ORCID http://orcid.org/0000-0002-4208-5271
Chris S HaleyMedical Research Council Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh, EH8 9YL, Edinburgh, UK.
Andrew M McIntoshDivision of Psychiatry, University of Edinburgh, Royal Edinburgh Hospital, EH10 5HF, Edinburgh, UK.ORCID http://orcid.org/0000-0002-0198-4588

Funding

Chief Scientist Office CZD/16/6Medical Research Council MC_PC_U127561128Medical Research Council MC_PC_U127592696Medical Research Council MC_QA137853Medical Research Council MC_UU_00007/10Medical Research Council MR/K026992/1Medical Research Council MR/S015132/1Wellcome Trust 104036/Z/14/Z
6 · The paper itself

Abstract

Few replicable genetic associations for Major Depressive Disorder (MDD) have been identified. Recent studies of MDD have identified common risk variants by using a broader phenotype definition in very large samples, or by reducing phenotypic and ancestral heterogeneity. We sought to ascertain whether it is more informative to maximize the sample size using data from all available cases and controls, or to use a sex or recurrent stratified subset of affected individuals. To test this, we compared heritability estimates, genetic correlation with other traits, variance explained by MDD polygenic score, and variants identified by genome-wide meta-analysis for broad and narrow MDD classifications in two large British cohorts - Generation Scotland and UK Biobank. Genome-wide meta-analysis of MDD in males yielded one genome-wide significant locus on 3p22.3, with three genes in this region (CRTAP, GLB1, and TMPPE) demonstrating a significant association in gene-based tests. Meta-analyzed MDD, recurrent MDD and female MDD yielded equivalent heritability estimates, showed no detectable difference in association with polygenic scores, and were each genetically correlated with six health-correlated traits (neuroticism, depressive symptoms, subjective well-being, MDD, a cross-disorder phenotype and Bipolar Disorder). Whilst stratified GWAS analysis revealed a genome-wide significant locus for male MDD, the lack of independent replication, and the consistent pattern of results in other MDD classifications suggests that phenotypic stratification using recurrence or sex in currently available sample sizes is currently weakly justified. Based upon existing studies and our findings, the strategy of maximizing sample sizes is likely to provide the greater gain.

Indexed as

Genetic Predisposition to DiseaseGenome-Wide Association StudyAdultAgedBiological Specimen BanksFemaleHumansLogistic ModelsMajor Depressive DisorderMaleMiddle AgedMultifactorial InheritancePhenotypePolymorphism, Single NucleotideRisk FactorsScotland

Identifiers

PMID29317602
PMCPMC5802463

What OpenQuestion holds

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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.