Evidence map›Paper›PMID 38078748›Full record

ArticlePsychological medicine2023

The genetic contribution to the comorbidity of depression and anxiety: a multi-site electronic health records study of almost 178 000 people.

Brandon J Coombes, Isotta Landi, Karmel W Choi, Kritika Singh, Brian Fennessy, Greg D Jenkins, Anthony Batzler, Richard Pendegraft, Nicolas A Nunez, Y Nina Gao and 11 more

Open access · hybridAbstract readMulticenter Study
In one paragraph

Article in Psychological medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
5.9field-weighted citation impact, top 4% 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

12 citing papers in PubMed, 19 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

21 authors at 8 institutions in 1 country.

Brandon J CoombesDepartment of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA.ORCID 0000-0003-4322-5923
Isotta LandiDepartment of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Karmel W ChoiDepartment of Psychiatry, Center for Precision Psychiatry, Massachusetts General Hospital, Boston, MA, USA.
Kritika SinghDepartment of Medicine, Division of Genetic Medicine, Vanderbilt University Medical Center, Nashville, TN, USA.
Brian FennessyDepartment of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Greg D JenkinsDepartment of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA.
Anthony BatzlerDepartment of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA.
Richard PendegraftDepartment of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA.
Nicolas A NunezDepartment of Psychiatry & Psychology, Mayo Clinic, Rochester, MN, USA.
Y Nina GaoDepartment of Psychiatry, Columbia University and New York State Psychiatric Institute, New York, USA.
Euijung RyuDepartment of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA.
Priya WickramaratneDepartment of Psychiatry, Columbia University and New York State Psychiatric Institute, New York, USA.
Myrna M WeissmanDepartment of Psychiatry, Columbia University and New York State Psychiatric Institute, New York, USA.
Regeneron Genetics Center
Jyotishman PathakDepartment of Population Health Sciences, Weill Cornell Medicine, New York, New York, USA.
J John MannDepartment of Psychiatry, Columbia University and New York State Psychiatric Institute, New York, USA.
Jordan W SmollerDepartment of Psychiatry, Center for Precision Psychiatry, Massachusetts General Hospital, Boston, MA, USA.
Lea K DavisDepartment of Medicine, Division of Genetic Medicine, Vanderbilt University Medical Center, Nashville, TN, USA.
Mark OlfsonDepartment of Psychiatry, Columbia University and New York State Psychiatric Institute, New York, USA.
Alexander W CharneyDepartment of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Joanna M BiernackaDepartment of Quantitative Health Sciences, Mayo Clinic, Rochester, MN, USA.
Mayo Clinic in Florida · USNew York Psychoanalytic Society and Institute · USIcahn School of Medicine at Mount Sinai · USMayo Clinic · USVanderbilt University Medical Center · USBroad Institute · USCornell University · USHarvard University · US

Funding

Vanderbilt Institute for Clinical and Translational Research (VICTR) -Identifying correlates of functional immunity in SARS-CoV-2 convalescent plasmaUL1TR002243 · NCATS · VANDERBILT UNIVERSITY MEDICAL CENTER · PI Paul A. Harris, Wesley H Self · 2017 to 2026
$130.7M
VANDERBILT UNIVERSITY CTSA FOR PEDIATRIC RESEARCHUL1RR024975 · NCRR · VANDERBILT UNIVERSITY · PI BERNARD, GORDON RAPHAEL · 2007 to 2011
$45.7M
The Vanderbilt Institute for Clinical and Translational Research (VICTR)UL1TR000445 · NCATS · VANDERBILT UNIVERSITY MEDICAL CENTER · PI BERNARD, GORDON RAPHAEL · 2012 to 2016
$41.4M
Pharmacogenomics of Arrhythmia TherapyU19HL065962 · NHLBI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI RODEN, DAN M · 2010 to 2014
$17.4M
Finding Genomic Profiles of COVID-19 Phenotypes from the EHRU01HG008685 · NHGRI · BRIGHAM AND WOMEN'S HOSPITAL · PI ELIZABETH W KARLSON, Matthew S Lebo · 2015 to 2026
$13.6M
Understanding and preventing HLA-associated drug reactionsP50GM115305 · NIGMS · VANDERBILT UNIVERSITY MEDICAL CENTER · PI DENNY, JOSHUA C. · 2015 to 2019
$13.0M
The Genetic Epemiology of Multiple SclerosisR01NS032830 · NINDS · VANDERBILT UNIVERSITY · PI HAINES, JONATHAN L · 1995 to 2010
$8.9M
Epidemiologic Architecture for Genes Linked to Environment (EAGLE)U01HG004798 · NHGRI · VANDERBILT UNIVERSITY · PI CRAWFORD, DANA C · 2008 to 2013
$8.8M
VESPA: Vanderbilt Electronic Systems for Pharmacogenomic AssessmentRC2GM092618 · NIGMS · VANDERBILT UNIVERSITY · PI DENNY, JOSHUA C., RODEN, DAN M · 2009 to 2010
$6.4M
PRIMING THE PUMP: TRAINING PHYSICIAN-SCIENTISTS IN TRANSLATIONAL PSYCHIATRYR25MH086466 · NIMH · NEW YORK STATE PSYCHIATRIC INSTITUTE DBA RESEARCH FOUNDATION FOR MENTAL HYGIENE, INC · PI Melissa Arbuckle, Eduardo David Leonardo · 2009 to 2026
$4.3M
Vanderbilt Genome Electronic Records ProjectU01HG006378 · NHGRI · VANDERBILT UNIVERSITY · PI RODEN, DAN M · 2011 to 2014
$4.0M
PsycheMERGE: Leveraging electronic health records and genomics for mental health researchR01MH118233 · NIMH · MASSACHUSETTS GENERAL HOSPITAL · PI DAVIS, LEA K, SMOLLER, JORDAN W · 2019 to 2022
$3.1M
NCATS NIH HHS 2 UL1 TR000445-06NCATS NIH HHS UL1 TR000445NCATS NIH HHS UL1 TR002243NCRR NIH HHS S10 RR025141NCRR NIH HHS UL1 RR024975NHGRI NIH HHS U01 HG004798NHGRI NIH HHS U01 HG006378NHGRI NIH HHS U01 HG008685NHLBI NIH HHS U19 HL065962NICHD NIH HHS R01 HD074711NIGMS NIH HHS P50 GM115305NIGMS NIH HHS RC2 GM092618NIH HHS S10RR025141NIMH NIH HHS K08 MH127413NIMH NIH HHS R01 MH118233NIMH NIH HHS R01 MH121921NIMH NIH HHS R01 MH121922NIMH NIH HHS R01 MH121923NIMH NIH HHS R01 MH121924NIMH NIH HHS R25 MH086466NIMH NIH HHS R56 MH120736NIMH NIH HHS R56MH120736NINDS NIH HHS R01 NS032830
6 · The paper itself

Abstract

backgroundDepression and anxiety are common and highly comorbid, and their comorbidity is associated with poorer outcomes posing clinical and public health concerns. We evaluated the polygenic contribution to comorbid depression and anxiety, and to each in isolation.

methodsDiagnostic codes were extracted from electronic health records for four biobanks [

resultsIn total, 132 960 patients had neither diagnosis (74.8%), 16 092 depression-only (9.0%), 13 098 anxiety-only (7.4%), and 16 584 comorbid (9.3%). In the European meta-analysis across biobanks, both PRSs were higher in each diagnosis group compared to controls. Notably, depression-PRS (OR 1.20 per s.d. increase in PRS; 95% CI 1.18-1.23) and anxiety-PRS (OR 1.07; 95% CI 1.05-1.09) had the largest effect when the comorbid group was compared with controls. Furthermore, the depression-PRS was significantly higher in the comorbid group than the depression-only group (OR 1.09; 95% CI 1.06-1.12) and the anxiety-only group (OR 1.15; 95% CI 1.11-1.19) and was significantly higher in the depression-only group than the anxiety-only group (OR 1.06; 95% CI 1.02-1.09), showing a genetic risk gradient across the conditions and the comorbidity.

conclusionsThis study suggests that depression and anxiety have partially independent genetic liabilities and the genetic vulnerabilities to depression and anxiety make distinct contributions to comorbid depression and anxiety.

Indexed as

DepressionElectronic Health RecordsAnxietyAnxiety DisordersComorbidityHumansMultifactorial InheritanceRisk FactorsAnxietydepressionelectronic health recordspolygenic risk

Identifiers

PMID38078748
PMCPMC10719682
OpenAlexW4372295792

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