Evidence map›Paper›PMID 28809859›Full record

ArticleTranslational psychiatry2017

Do regional brain volumes and major depressive disorder share genetic architecture? A study of Generation Scotland (n=19 762), UK Biobank (n=24 048) and the English Longitudinal Study of Ageing (n=5766).

E M Wigmore, T-K Clarke, D M Howard, M J Adams, L S Hall, Y Zeng, J Gibson, G Davies, A M Fernandez-Pujals, P A Thomson and 8 more

Abstract read
In one paragraph

Article in Translational psychiatry, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

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

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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

18 authors.

E M WigmoreDivision of Psychiatry, University of Edinburgh, Royal Edinburgh Hospital, Edinburgh, UK.
T-K ClarkeDivision of Psychiatry, University of Edinburgh, Royal Edinburgh Hospital, Edinburgh, UK.
D M HowardDivision of Psychiatry, University of Edinburgh, Royal Edinburgh Hospital, Edinburgh, UK.
M J AdamsDivision of Psychiatry, University of Edinburgh, Royal Edinburgh Hospital, Edinburgh, UK.
L S HallDivision of Psychiatry, University of Edinburgh, Royal Edinburgh Hospital, Edinburgh, UK.
Y ZengDivision of Psychiatry, University of Edinburgh, Royal Edinburgh Hospital, Edinburgh, UK.
J GibsonDivision of Psychiatry, University of Edinburgh, Royal Edinburgh Hospital, Edinburgh, UK.
G DaviesCentre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK.
A M Fernandez-PujalsDivision of Psychiatry, University of Edinburgh, Royal Edinburgh Hospital, Edinburgh, UK.
P A ThomsonCentre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK.
C HaywardCentre for Genomic and Experimental Medicine, Institute of Genetics and Molecular Medicine, University of Edinburgh, Western General Hospital, Edinburgh, UK.
B H SmithDivision of Population Health Sciences, University of Dundee, Dundee, UK.
L J HockingDivision of Applied Medicine, University of Aberdeen, Aberdeen, UK.
S PadmanabhanInstitute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, UK.
I J DearyCentre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK.
D J PorteousCentre for Genomic and Experimental Medicine, Institute of Genetics and Molecular Medicine, University of Edinburgh, Western General Hospital, Edinburgh, UK.
K K NicodemusCentre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK.
A M McIntoshDivision of Psychiatry, University of Edinburgh, Royal Edinburgh Hospital, Edinburgh, UK.

Funding

Biotechnology and Biological Sciences Research CouncilChief Scientist Office CZD/16/6Medical Research Council MC_PC_U127561128Medical Research Council MC_QA137853Medical Research Council MR/K026992/1Medical Research Council MR/N01104X/1Medical Research Council MR/N01104X/2Wellcome TrustWellcome Trust 104036/Z/14/Z
6 · The paper itself

Abstract

Major depressive disorder (MDD) is a heritable and highly debilitating condition. It is commonly associated with subcortical volumetric abnormalities, the most replicated of these being reduced hippocampal volume. Using the most recent published data from Enhancing Neuroimaging Genetics through Meta-analysis (ENIGMA) consortium's genome-wide association study of regional brain volume, we sought to test whether there is shared genetic architecture between seven subcortical brain volumes and intracranial volume (ICV) and MDD. We explored this using linkage disequilibrium score regression, polygenic risk scoring (PRS) techniques, Mendelian randomisation (MR) analysis and BUHMBOX. Utilising summary statistics from ENIGMA and Psychiatric Genomics Consortium, we demonstrated that hippocampal volume was positively genetically correlated with MDD (r

Indexed as

AdultAgedBrainCohort StudiesFemaleGenetic Predisposition to DiseaseGenome-Wide Association StudyGenotypeHippocampusHumansMajor Depressive DisorderMaleMiddle AgedUnited Kingdom

Identifiers

PMID28809859
PMCPMC5611720

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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.