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Cited by 131Genetic Associations and EpidemiologyChild and Adolescent Psychosocial and Emotional DevelopmentMental Health Research Topics

Genetic and environmental influences on psychiatric comorbidity: a systematic review.

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Cerdá, M., Sagdeo, A., Johnson, J., Galea, S.·2010·Journal of Affective Disorders
DOI 10.1016/j.jad.2009.11.006PMC PMC2888715
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Abstract

Background The purpose of this review is to systematically appraise the peer-reviewed literature about the genetic and environmental determinants of psychiatric comorbidity, focusing on four of the most prevalent types of psychopathology: anxiety disorders, depression, conduct disorder and substance abuse. Methods We summarize existing empirical research on the relative contribution that genetic, nonshared and shared environmental factors make to the covariance between disorders, and evidence about specific genes and environmental characteristics that are associated with comorbidity. Results Ninety-four articles met the inclusion criteria and were assessed. Genetic factors play a particularly strong role in comorbidity between major depression and generalized anxiety disorder or posttraumatic stress disorder, while the non-shared environments make an important contribution to comorbidity in affective disorders. Genetic and non-shared environmental factors also make a moderate-to-strong contribution to the relationship between CD and SA. A range of candidate genes, such as 5HTTLPR, MAOA, and DRD1-DRD4, as well as others implicated in the central nervous system, has been implicated in psychiatric comorbidity. Pivotal social factors include childhood adversity/life events, family and peer social connections, and socioeconomic and academic difficulties. Limitations Methodological concerns include the use of clinical case-control samples, the focus on a restricted set of individual-level environmental risk factors, and restricted follow-up times. Conclusions Given the significant mental health burden associated with comorbid disorders, population-based research on modifiable risk factors for psychiatric comorbidity is vital for the design of effective preventive and clinical interventions.

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Authors
Cerdá, M., Sagdeo, A., Johnson, J., & Galea, S.
Affiliations
  • New York Academy of Medicine (US)
  • University of Pennsylvania (US)
  • University of Michigan (US)
Corresponding author
Cerdá, M.
ORCID
Venue
Journal of Affective Disorders
Publisher
Elsevier BV
Published
2010-10
Volume
126
Issue
1-2
Pages
14-38
ISSN
0165-0327 (ISSN-L)
DOI
10.1016/j.jad.2009.11.006
PMC
PMC2888715
OpenAlex
W2057389564
Cited by
131
References
5
Citations by year
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FWCI
3.90
Type
journal article
Language
en
Open access
Licence
www.elsevier.com/tdm/userlicense/1.0/ (tdm)
Locations
  • Journal of Affective Disorders (publishedVersion)
  • PubMed (publishedVersion)
  • PubMed Central (acceptedVersion)
Funders
  • Robert Wood Johnson Foundation
  • University of Michigan
  • National Institute of Mental Health (R01MH082729, R01MH078152, MH 082729, MH 078152)
  • National Institute on Drug Abuse (DA 022720, R01DA022720)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Associations and Epidemiology
  • Social Sciences › Psychology › Clinical Psychology › Child and Adolescent Psychosocial and Emotional Development
  • Social Sciences › Psychology › Experimental and Cognitive Psychology › Mental Health Research Topics
Keywords
psychiatric comorbidity, genetic factors, nonshared environment, shared environment, major depressive disorder, generalized anxiety disorder, post-traumatic stress disorder, conduct disorder, substance abuse, candidate genes, 5-HTTLPR, monoamine oxidase A, childhood adversity, social risk factors, socioeconomic factors
MeSH terms
Anxiety Disorders, Mental Disorders, Depressive Disorder, Major, Major Depressive Disorder, Depressive Disorder, Genes, Humans, Social Environment, Socioeconomic Factors, Stress Disorders, Post-Traumatic, Comorbidity, Conduct Disorder, Substance-Related Disorders

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

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