Evidence map›Paper›PMID 28926002›Full record

ArticleTranslational psychiatry2017

Polygenic loading for major depression is associated with specific medical comorbidity.

T H McCoy, V M Castro, L Snapper, K Hart, J L Januzzi, J C Huffman, R H Perlis

Open access · goldAbstract 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 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
2.9field-weighted citation impact, top 9% 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

14 citing papers in PubMed, 1 synthesis or guideline pooled it, 26 citations in OpenAlex.

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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

7 authors at 3 institutions in 1 country.

T H McCoyCenter for Quantitative Health, Center for Human Genetic Research and Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA.
V M CastroCenter for Quantitative Health, Center for Human Genetic Research and Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA.
L SnapperCenter for Quantitative Health, Center for Human Genetic Research and Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA.
K HartCenter for Quantitative Health, Center for Human Genetic Research and Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA.
J L JanuzziCardiology Division, Massachusetts General Hospital and Harvard Clinical Research Institute, Boston, MA, USA.
J C HuffmanDepartment of Psychiatry, Massachusetts General Hospital, Boston, MA, USA.
R H PerlisCenter for Quantitative Health, Center for Human Genetic Research and Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA.
Center for Human Genetics · USMassachusetts General Hospital · USBaim Institute for Clinical Research · US

Funding

Research ProjectP50MH106933 · NIMH · HARVARD MEDICAL SCHOOL · PI KOHANE, ISAAC S. · 2014 to 2018
$17.0M
Natural language processing for characterizing psychopathologyR01MH106577 · NIMH · MASSACHUSETTS GENERAL HOSPITAL · PI PERLIS, ROY H. · 2016 to 2018
$1.2M
NIMH NIH HHS P50 MH106933NIMH NIH HHS R01 MH106577
6 · The paper itself

Abstract

Major depressive disorder frequently co-occurs with medical disorders, raising the possibility of shared genetic liability. Recent identification of 15 novel genetic loci associated with depression allows direct investigation of this question. In cohorts of individuals participating in biobanks at two academic medical centers, we calculated polygenic loading for risk loci reported to be associated with depression. We then examined the association between such loading and 50 groups of clinical diagnoses, or topics, drawn from these patients' electronic health records, determined using a novel application of latent Dirichilet allocation. Three topics showed experiment-wide association with the depression liability score; these included diagnostic groups representing greater prevalence of mood and anxiety disorders, greater prevalence of cardiac ischemia, and a decreased prevalence of heart failure. The latter two associations persisted even among individuals with no mood disorder diagnosis. This application of a novel method for grouping related diagnoses in biobanks indicate shared genetic risk for depression and cardiac disease, with a pattern suggesting greater ischemic risk and diminished heart failure risk.

Indexed as

Multifactorial InheritanceAdultAgedAged, 80 and overAnxiety DisordersEuropeFemaleGenetic Predisposition to DiseaseHeart FailureHumansMajor Depressive DisorderMaleMiddle AgedMood DisordersMyocardial Ischemia

Identifiers

PMID28926002
PMCPMC5639245
OpenAlexW2753976731

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.