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Heterogeneity and Polygenicity in Psychiatric Disorders: A Genome-Wide Perspective
Genome-wide association studies (GWAS) have been performed for many psychiatric disorders and revealed a complex polygenic architecture linking mental and physical health phenotypes. Psychiatric diagnoses are often heterogeneous, and several layers of trait heterogeneity may contribute to detection...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7254587/ https://www.ncbi.nlm.nih.gov/pubmed/32518889 http://dx.doi.org/10.1177/2470547020924844 |
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author | Wendt, Frank R. Pathak, Gita A. Tylee, Daniel S. Goswami, Aranyak Polimanti, Renato |
author_facet | Wendt, Frank R. Pathak, Gita A. Tylee, Daniel S. Goswami, Aranyak Polimanti, Renato |
author_sort | Wendt, Frank R. |
collection | PubMed |
description | Genome-wide association studies (GWAS) have been performed for many psychiatric disorders and revealed a complex polygenic architecture linking mental and physical health phenotypes. Psychiatric diagnoses are often heterogeneous, and several layers of trait heterogeneity may contribute to detection of genetic risks per disorder or across multiple disorders. In this review, we discuss these heterogeneities and their consequences on the discovery of risk loci using large-scale genetic data. We primarily highlight the ways in which sex and diagnostic complexity contribute to risk locus discovery in schizophrenia, bipolar disorder, attention deficit hyperactivity disorder, autism spectrum disorder, posttraumatic stress disorder, major depressive disorder, obsessive-compulsive disorder, Tourette’s syndrome and chronic tic disorder, anxiety disorders, suicidality, feeding and eating disorders, and substance use disorders. Genetic data also have facilitated discovery of clinically relevant subphenotypes also described here. Collectively, GWAS of psychiatric disorders revealed that the understanding of heterogeneity, polygenicity, and pleiotropy is critical to translate genetic findings into treatment strategies. |
format | Online Article Text |
id | pubmed-7254587 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | SAGE Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-72545872020-06-08 Heterogeneity and Polygenicity in Psychiatric Disorders: A Genome-Wide Perspective Wendt, Frank R. Pathak, Gita A. Tylee, Daniel S. Goswami, Aranyak Polimanti, Renato Chronic Stress (Thousand Oaks) Review Genome-wide association studies (GWAS) have been performed for many psychiatric disorders and revealed a complex polygenic architecture linking mental and physical health phenotypes. Psychiatric diagnoses are often heterogeneous, and several layers of trait heterogeneity may contribute to detection of genetic risks per disorder or across multiple disorders. In this review, we discuss these heterogeneities and their consequences on the discovery of risk loci using large-scale genetic data. We primarily highlight the ways in which sex and diagnostic complexity contribute to risk locus discovery in schizophrenia, bipolar disorder, attention deficit hyperactivity disorder, autism spectrum disorder, posttraumatic stress disorder, major depressive disorder, obsessive-compulsive disorder, Tourette’s syndrome and chronic tic disorder, anxiety disorders, suicidality, feeding and eating disorders, and substance use disorders. Genetic data also have facilitated discovery of clinically relevant subphenotypes also described here. Collectively, GWAS of psychiatric disorders revealed that the understanding of heterogeneity, polygenicity, and pleiotropy is critical to translate genetic findings into treatment strategies. SAGE Publications 2020-05-18 /pmc/articles/PMC7254587/ /pubmed/32518889 http://dx.doi.org/10.1177/2470547020924844 Text en © The Author(s) 2020 https://creativecommons.org/licenses/by/4.0/ Creative Commons CC BY: This article is distributed under the terms of the Creative Commons Attribution 4.0 License (https://creativecommons.org/licenses/by/4.0/) which permits any use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage). |
spellingShingle | Review Wendt, Frank R. Pathak, Gita A. Tylee, Daniel S. Goswami, Aranyak Polimanti, Renato Heterogeneity and Polygenicity in Psychiatric Disorders: A Genome-Wide Perspective |
title | Heterogeneity and Polygenicity in Psychiatric Disorders: A Genome-Wide Perspective |
title_full | Heterogeneity and Polygenicity in Psychiatric Disorders: A Genome-Wide Perspective |
title_fullStr | Heterogeneity and Polygenicity in Psychiatric Disorders: A Genome-Wide Perspective |
title_full_unstemmed | Heterogeneity and Polygenicity in Psychiatric Disorders: A Genome-Wide Perspective |
title_short | Heterogeneity and Polygenicity in Psychiatric Disorders: A Genome-Wide Perspective |
title_sort | heterogeneity and polygenicity in psychiatric disorders: a genome-wide perspective |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7254587/ https://www.ncbi.nlm.nih.gov/pubmed/32518889 http://dx.doi.org/10.1177/2470547020924844 |
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