Literature DB >> 26365619

The influence of genes on "positive valence systems" constructs: A systematic review.

Jonathan L Hess1, Daniel M Kawaguchi1, Kayla E Wagner1,2, Stephen V Faraone1,3, Stephen J Glatt1.   

Abstract

In 2009, the U.S. National Institute of Mental Health (NIMH) proposed an approach toward the deconstruction of psychiatric nosology under the research domain criteria (RDoC) framework. The overarching goal of RDoC is to identify robust, objective measures of behavior, emotion, cognition, and other domains that are more closely related to neurobiology than are diagnoses. A preliminary framework has been constructed, which has connected molecules, genes, brain circuits, behaviors, and other elements to dimensional psychiatric constructs. Although the RDoC framework has salience in emerging studies, foundational literature that pre-dated this framework requires synthesis and translation to the evolving objectives and nomenclature of RDoC. Toward this end, we review the candidate-gene association, linkage, and genome-wide studies that have implicated a variety of loci and genetic polymorphisms in selected Positive Valence Systems (PVS) constructs. Our goal is to review supporting evidence to currently listed genes implicated in this domain and novel candidates. We systematically searched and reviewed literature based on keywords listed under the June, 2011, edition of the PVS matrix on the RDoC website (http://www.nimh.nih.gov/research-priorities/rdoc/positive-valence-systems-workshop-proceedings.shtml), which were supplemented with de novo keywords pertinent to the scope of our review. Several candidate genes linked to the PVS framework were identified from candidate-gene association studies. We also identified novel candidates with loose association to PVS traits from genome-wide studies. There is strong evidence suggesting that PVS constructs, as currently conceptualized under the RDoC initiative, index genetically influenced traits; however, future research, including genetic epidemiological, and psychometric analyses, must be performed.
© 2015 Wiley Periodicals, Inc.

Entities:  

Keywords:  RDoC; gene; positive valence system; research domain criteria; reward

Mesh:

Year:  2015        PMID: 26365619     DOI: 10.1002/ajmg.b.32382

Source DB:  PubMed          Journal:  Am J Med Genet B Neuropsychiatr Genet        ISSN: 1552-4841            Impact factor:   3.568


  7 in total

1.  Research Domain Criteria: Strengths, Weaknesses, and Potential Alternatives for Future Psychiatric Research.

Authors:  Christopher A Ross; Russell L Margolis
Journal:  Mol Neuropsychiatry       Date:  2019-08-13

2.  Latent variable analysis of positive and negative valence processing focused on symptom and behavioral units of analysis in mood and anxiety disorders.

Authors:  Martin P Paulus; Murray B Stein; Michelle G Craske; Susan Bookheimer; Charles T Taylor; Alan N Simmons; Natasha Sidhu; Katherine S Young; Boyang Fan
Journal:  J Affect Disord       Date:  2017-01-11       Impact factor: 4.839

Review 3.  Understanding Anhedonia from a Genomic Perspective.

Authors:  Erin Bondy; Ryan Bogdan
Journal:  Curr Top Behav Neurosci       Date:  2022

Review 4.  [Twelve years of research domain criteria in psychiatric research and practice: claim and reality].

Authors:  Dusan Hirjak; Emanuel Schwarz; Andreas Meyer-Lindenberg
Journal:  Nervenarzt       Date:  2021-08-03       Impact factor: 1.214

5.  Predicting attention-deficit/hyperactivity disorder severity from psychosocial stress and stress-response genes: a random forest regression approach.

Authors:  D van der Meer; P J Hoekstra; M van Donkelaar; J Bralten; J Oosterlaan; D Heslenfeld; S V Faraone; B Franke; J K Buitelaar; C A Hartman
Journal:  Transl Psychiatry       Date:  2017-06-06       Impact factor: 6.222

6.  Analysis of hepatic transcriptome demonstrates altered lipid metabolism following Lactobacillus johnsonii BS15 prevention in chickens with subclinical necrotic enteritis.

Authors:  Xiaodan Qing; Dong Zeng; Hesong Wang; Xueqin Ni; Jing Lai; Lei Liu; Abdul Khalique; Kangcheng Pan; Bo Jing
Journal:  Lipids Health Dis       Date:  2018-04-20       Impact factor: 3.876

Review 7.  Developmental trajectories to reduced activation of positive valence systems: A review of biological and environmental contributions.

Authors:  Autumn Kujawa; Daniel N Klein; Samantha Pegg; Anna Weinberg
Journal:  Dev Cogn Neurosci       Date:  2020-04-26       Impact factor: 6.464

  7 in total

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