Literature DB >> 24132891

Disorders and borders: psychiatric genetics and nosology.

Jordan W Smoller1.   

Abstract

Over the past century, the definition and classification of psychiatric disorders has evolved through a combination of historical trends, clinical observations, and empirical research. The current nosology, instantiated in the DSM-5 and ICD-10, rests on descriptive criteria agreed upon by a consensus of experts. While the development of explicit criteria has enhanced the reliability of diagnosis, the validity of the current diagnostic categories has been the subject of debate and controversy. Genetic studies have long been regarded as a key resource for validating the boundaries among diagnostic categories. Genetic epidemiologic studies have documented the familiality and heritability of clinically defined psychiatric disorders and molecular genetic studies have begun to identify specific susceptibility variants. At the same time, there is growing evidence from family, twin and genomic studies that genetic influences on psychiatric disorders transcend clinical boundaries. Here I review this evidence for cross-disorder genetic effects and discuss the implications of these findings for psychiatric nosology. Psychiatric genetic research can inform a bottom-up reappraisal of psychopathology that may help the field move beyond a purely descriptive classification and toward an etiology-based nosology.
Copyright © 2013 Wiley Periodicals, Inc.

Entities:  

Keywords:  cross-disorder; genetic; nosology; pleiotropy; psychiatric

Mesh:

Year:  2013        PMID: 24132891     DOI: 10.1002/ajmg.b.32174

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


  21 in total

Review 1.  Recent Genetics and Epigenetics Approaches to PTSD.

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Review 2.  Searching human brain for mechanisms of psychiatric disorders. Implications for studies on schizophrenia.

Authors:  Sabina Berretta; Stephan Heckers; Francine M Benes
Journal:  Schizophr Res       Date:  2014-11-11       Impact factor: 4.939

Review 3.  A hierarchical causal taxonomy of psychopathology across the life span.

Authors:  Benjamin B Lahey; Robert F Krueger; Paul J Rathouz; Irwin D Waldman; David H Zald
Journal:  Psychol Bull       Date:  2016-12-22       Impact factor: 17.737

Review 4.  Molecular genetic approaches to understanding the comorbidity of psychiatric disorders.

Authors:  Ian R Gizer
Journal:  Dev Psychopathol       Date:  2016-11

5.  The interplay of childhood behavior problems and IQ in the development of later schizophrenia and affective psychoses.

Authors:  Jessica Agnew-Blais; Larry J Seidman; Garrett M Fitzmaurice; Jordan W Smoller; Jill M Goldstein; Stephen L Buka
Journal:  Schizophr Res       Date:  2017-01-03       Impact factor: 4.939

Review 6.  β2 Adrenergic Receptor Complexes with the L-Type Ca2+ Channel CaV1.2 and AMPA-Type Glutamate Receptors: Paradigms for Pharmacological Targeting of Protein Interactions.

Authors:  Kwun Nok Mimi Man; Manuel F Navedo; Mary C Horne; Johannes W Hell
Journal:  Annu Rev Pharmacol Toxicol       Date:  2019-09-27       Impact factor: 13.820

Review 7.  Resting-State Functional Connectivity in the Human Connectome Project: Current Status and Relevance to Understanding Psychopathology.

Authors:  Deanna M Barch
Journal:  Harv Rev Psychiatry       Date:  2017 Sep/Oct       Impact factor: 3.732

Review 8.  The Genetics of Stress-Related Disorders: PTSD, Depression, and Anxiety Disorders.

Authors:  Jordan W Smoller
Journal:  Neuropsychopharmacology       Date:  2015-08-31       Impact factor: 7.853

Review 9.  An autism case history to review the systematic analysis of large-scale data to refine the diagnosis and treatment of neuropsychiatric disorders.

Authors:  Isaac S Kohane
Journal:  Biol Psychiatry       Date:  2014-06-12       Impact factor: 13.382

10.  A controlled family study of cannabis users with and without psychosis.

Authors:  Ashley C Proal; Jerry Fleming; Juan A Galvez-Buccollini; Lynn E Delisi
Journal:  Schizophr Res       Date:  2013-12-02       Impact factor: 4.939

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