Evidence map›Paper›PMID 31576797›Full record

ArticlePsychological medicine2020

Genetic stratification of depression by neuroticism: revisiting a diagnostic tradition.

Mark J Adams, David M Howard, Michelle Luciano, Toni-Kim Clarke, Gail Davies, W David Hill, 23andMe Research Team, Major Depressive Disorder Working Group of the Psychiatric Genomics Consortium, Daniel Smith, Ian J Deary and 2 more

Open access · hybridAbstract read
In one paragraph

Article in Psychological medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 1 pooled it
4.3field-weighted citation impact, top 5% of its field
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

24 citing papers in PubMed, 1 synthesis or guideline pooled it, 49 citations in OpenAlex.

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  15. Current State of Modeling Human Psychiatric Disorders Using Zebrafish.International journal of molecular sciences · 2023
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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

12 authors at 4 institutions in 1 country.

Mark J AdamsDivision of Psychiatry, University of Edinburgh, Royal Edinburgh Hospital, Edinburgh, UK.ORCID 0000-0002-3599-6018
David M HowardDivision of Psychiatry, University of Edinburgh, Royal Edinburgh Hospital, Edinburgh, UK.ORCID 0000-0002-6005-1972
Michelle LucianoCentre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK.ORCID 0000-0002-7306-3008
Toni-Kim ClarkeDivision of Psychiatry, University of Edinburgh, Royal Edinburgh Hospital, Edinburgh, UK.ORCID 0000-0002-7745-6351
Gail DaviesCentre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK.
W David HillCentre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK.
23andMe Research Team
Major Depressive Disorder Working Group of the Psychiatric Genomics Consortium
Daniel SmithInstitute of Health and Wellbeing, University of Glasgow, Glasgow, UK.
Ian J DearyCentre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK.ORCID 0000-0002-1733-263X
David J PorteousCentre for Genomic and Experimental Medicine, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK.ORCID 0000-0003-1249-6106
Andrew M McIntoshDivision of Psychiatry, University of Edinburgh, Royal Edinburgh Hospital, Edinburgh, UK.ORCID 0000-0002-0198-4588
University of Edinburgh · GBRoyal Edinburgh Hospital · GBKing's College London · GBUniversity of Glasgow · GB

Funding

1/7 Psychiatric Genomics Consortium: Finding actionable variationU01MH109528 · NIMH · UNIV OF NORTH CAROLINA CHAPEL HILL · PI SULLIVAN, PATRICK F · 2016 to 2020
$2.5M
Medical Research Council G0700704Medical Research Council MC_PC_17209Medical Research Council MR/K026992/1NIMH NIH HHS U01 MH109528Wellcome Trust 104036/Z/14/ZWellcome Trust 213674/Z/18/Z
6 · The paper itself

Abstract

backgroundMajor depressive disorder and neuroticism (Neu) share a large genetic basis. We sought to determine whether this shared basis could be decomposed to identify genetic factors that are specific to depression.

methodsWe analysed summary statistics from genome-wide association studies (GWAS) of depression (from the Psychiatric Genomics Consortium, 23andMe and UK Biobank) and compared them with GWAS of Neu (from UK Biobank). First, we used a pairwise GWAS analysis to classify variants as associated with only depression, with only Neu or with both. Second, we estimated partial genetic correlations to test whether the depression's genetic link with other phenotypes was explained by shared overlap with Neu.

resultsWe found evidence that most genomic regions (25/37) associated with depression are likely to be shared with Neu. The overlapping common genetic variance of depression and Neu was genetically correlated primarily with psychiatric disorders. We found that the genetic contributions to depression, that were not shared with Neu, were positively correlated with metabolic phenotypes and cardiovascular disease, and negatively correlated with the personality trait conscientiousness. After removing shared genetic overlap with Neu, depression still had a specific association with schizophrenia, bipolar disorder, coronary artery disease and age of first birth. Independent of depression, Neu had specific genetic correlates in ulcerative colitis, pubertal growth, anorexia and education.

conclusionOur findings demonstrate that, while genetic risk factors for depression are largely shared with Neu, there are also non-Neu-related features of depression that may be useful for further patient or phenotypic stratification.

Indexed as

Genetic Predisposition to DiseaseGenome-Wide Association StudyNeuroticismHumansMajor Depressive DisorderMultifactorial InheritancePhenotypePolymorphism, Single NucleotideUnited KingdomDiagnosisgenetic correlationgenome-wide association studymajor depressive disorderneuroticism

Identifiers

PMID31576797
PMCPMC7737042
OpenAlexW2979127981

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.