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Genetic findings are challenging the symptom-based diagnostic classification system of mental disorders

The present diagnostic classification of mental illnesses is primarily based on symptomatology. A recent cross-disorder genome-wide association study revealed that there were genetic similarities between multiple clinically defined diagnoses (including schizophrenia, bipolar disorder, depression, at...

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Autor principal: ZHANG, Chen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Shanghai Municipal Bureau of Publishing 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4984613/
https://www.ncbi.nlm.nih.gov/pubmed/27688643
http://dx.doi.org/10.11919/j.issn.1002-0829.216015
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author ZHANG, Chen
author_facet ZHANG, Chen
author_sort ZHANG, Chen
collection PubMed
description The present diagnostic classification of mental illnesses is primarily based on symptomatology. A recent cross-disorder genome-wide association study revealed that there were genetic similarities between multiple clinically defined diagnoses (including schizophrenia, bipolar disorder, depression, attention deficit hyperactivity disorder, and autism spectrum disorder) on regions of chromosomes 3p21 and 10q24 and single-nucleotide polymorphisms (SNPs) within two L-type voltage-gated calcium channel subunits of CACNA1C and CACNB2. These findings suggest that the pathogenesis of these five independent disorders are related. Such cross-disorder genetic studies challenge the current symptom-based diagnostic classification of mental disorders. Researchers need to identify creative ways to bridge the gap between these two approaches to understanding and labelling mental disorders.
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spelling pubmed-49846132016-09-29 Genetic findings are challenging the symptom-based diagnostic classification system of mental disorders ZHANG, Chen Shanghai Arch Psychiatry Forum The present diagnostic classification of mental illnesses is primarily based on symptomatology. A recent cross-disorder genome-wide association study revealed that there were genetic similarities between multiple clinically defined diagnoses (including schizophrenia, bipolar disorder, depression, attention deficit hyperactivity disorder, and autism spectrum disorder) on regions of chromosomes 3p21 and 10q24 and single-nucleotide polymorphisms (SNPs) within two L-type voltage-gated calcium channel subunits of CACNA1C and CACNB2. These findings suggest that the pathogenesis of these five independent disorders are related. Such cross-disorder genetic studies challenge the current symptom-based diagnostic classification of mental disorders. Researchers need to identify creative ways to bridge the gap between these two approaches to understanding and labelling mental disorders. Shanghai Municipal Bureau of Publishing 2016-02-25 /pmc/articles/PMC4984613/ /pubmed/27688643 http://dx.doi.org/10.11919/j.issn.1002-0829.216015 Text en Copyright © 2016 by Shanghai Municipal Bureau of Publishing http://creativecommons.org/licenses/by-nc-sa/4.0/ This work is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-sa/4.0/
spellingShingle Forum
ZHANG, Chen
Genetic findings are challenging the symptom-based diagnostic classification system of mental disorders
title Genetic findings are challenging the symptom-based diagnostic classification system of mental disorders
title_full Genetic findings are challenging the symptom-based diagnostic classification system of mental disorders
title_fullStr Genetic findings are challenging the symptom-based diagnostic classification system of mental disorders
title_full_unstemmed Genetic findings are challenging the symptom-based diagnostic classification system of mental disorders
title_short Genetic findings are challenging the symptom-based diagnostic classification system of mental disorders
title_sort genetic findings are challenging the symptom-based diagnostic classification system of mental disorders
topic Forum
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4984613/
https://www.ncbi.nlm.nih.gov/pubmed/27688643
http://dx.doi.org/10.11919/j.issn.1002-0829.216015
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