Evidence map›Paper›PMID 22920216›Full record

ReviewCognition & emotion2013

Toward an integration of cognitive and genetic models of risk for depression.

Brandon E Gibb, Christopher G Beevers, John E McGeary

Abstract readReview
In one paragraph

Review in Cognition & emotion, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
7.4field-weighted citation impact, top 3% 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

27 citing papers in PubMed, 47 citations in OpenAlex.

  1. Trial
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  10. Pubertal Development, Emotion Regulatory Styles, and the Emergence of Sex Differences in Internalizing Disorders and Symptoms in Adolescence.Clinical psychological science : a journal of the Association for Psychological Science · 2016
    Article
  11. Article
  12. Stressful life events moderate the relationship between genes and biased attention to emotional faces in youth.Clinical psychological science : a journal of the Association for Psychological Science · 2016
    Article
  13. Article
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  15. Attentional biases to emotional stimuli: Key components of the RDoC constructs of sustained threat and loss.American journal of medical genetics. Part B, Neuropsychiatric genetics : the official publication of the International Society of Psychiatric Genetics · 2016
    Review
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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

3 authors at 3 institutions in 1 country.

Brandon E GibbPsychology Department, Binghamton University-SUNY, Binghamton, NY 13902-6000, USA. bgibb@binghamton.edu
Christopher G Beevers
John E McGeary
Binghamton University · USBrown University · USThe University of Texas at Austin · US

Funding

Pathways to Depression in Children of Depressed MothersR01HD057066 · NICHD · STATE UNIVERSITY OF NY,BINGHAMTON · PI GIBB, BRANDON E · 2009 to 2013
$2.1M
Genetic Associations with Biased Processing of Emotion Cues in MDDR01MH076897 · NIMH · UNIVERSITY OF TEXAS AT AUSTIN · PI BEEVERS, CHRISTOPHER G · 2007 to 2009
$809k
NICHD NIH HHS HD057066NICHD NIH HHS R01 HD057066NIMH NIH HHS MH076897NIMH NIH HHS R01 MH076897
6 · The paper itself

Abstract

There is growing interest in integrating cognitive and genetic models of depression risk. We review two ways in which these models can be meaningfully integrated. First, information-processing biases may represent intermediate phenotypes for specific genetic influences. These genetic influences may represent main effects on specific cognitive processes or may moderate the impact of environmental influences on information-processing biases. Second, cognitive and genetic influences may combine to increase reactivity to environmental stressors, increasing risk for depression in a gene×cognition×environment model of risk. There is now growing support for both of these ways of integrating cognitive and genetic models of depression risk. Specifically, there is support for genetic influences on information-processing biases, particularly the link between 5-HTTLPR and attentional biases, from both genetic association and gene×environment (G×E) studies. There is also initial support for gene×cognition×environment models of risk in which specific genetic influences contribute to increased reactivity to environmental influences. We review this research and discuss important areas of future research, particularly the need for larger samples that allow for a broader examination of genetic and epigenetic influences as well as the combined influence of variability across a number of genes.

Indexed as

Gene-Environment InteractionModels, GeneticAttentionCognitionDepressionEpigenesis, GeneticHumansModels, PsychologicalRisk FactorsSerotonin Plasma Membrane Transport ProteinsSerotonin Plasma Membrane Transport ProteinsSLC6A4 protein, human

Identifiers

PMID22920216
PMCPMC3509244
OpenAlexW1983473390

What OpenQuestion holds

Textmetadata
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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.