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Imaging Genetics Towards a Refined Diagnosis of Schizophrenia
Current diagnoses of schizophrenia and related psychiatric disorders are classified by phenomenological principles and clinical descriptions while ruling out other symptoms and conditions. Specific biomarkers are needed to assist the current diagnostic system. However, complicated gene and environme...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6639711/ https://www.ncbi.nlm.nih.gov/pubmed/31354550 http://dx.doi.org/10.3389/fpsyt.2019.00494 |
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author | Jiang, Wenhao King, Tricia Z. Turner, Jessica A. |
author_facet | Jiang, Wenhao King, Tricia Z. Turner, Jessica A. |
author_sort | Jiang, Wenhao |
collection | PubMed |
description | Current diagnoses of schizophrenia and related psychiatric disorders are classified by phenomenological principles and clinical descriptions while ruling out other symptoms and conditions. Specific biomarkers are needed to assist the current diagnostic system. However, complicated gene and environment interactions induce great disease heterogeneity. This unclear etiology and heterogeneity raise difficulties in distinguishing schizophrenia-related effects. Simultaneously, the overlap in symptoms, genetic variations, and brain alterations in schizophrenia and related psychiatric disorders raises similar difficulties in determining disease-specific effects. Imaging genetics is a unique methodology to assess the impact of genetic factors on both brain structure and function. More importantly, imaging genetics builds a bridge to understand the behavioral and clinical implications of genetics and neuroimaging. By characterizing and quantifying the brain measures affected in psychiatric disorders, imaging genetics is contributing to identifying potential biomarkers for schizophrenia and related disorders. To date, candidate gene analysis, genome-wide association studies, polygenetic risk score analysis, and large-scale collaborative studies have made contributions to the understanding of schizophrenia with the potential to serve as biomarkers. Despite limitations, imaging genetics remains promising as more aggregative, clustering methods and imaging genetics-compatible clinical assessments are employed in future studies. We review imaging genetics’ contribution to our understanding of the heterogeneity within schizophrenia and the commonalities across schizophrenia and other diagnostic borders, and we will discuss whether imaging genetics is ready to form its own diagnostic system. |
format | Online Article Text |
id | pubmed-6639711 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-66397112019-07-26 Imaging Genetics Towards a Refined Diagnosis of Schizophrenia Jiang, Wenhao King, Tricia Z. Turner, Jessica A. Front Psychiatry Psychiatry Current diagnoses of schizophrenia and related psychiatric disorders are classified by phenomenological principles and clinical descriptions while ruling out other symptoms and conditions. Specific biomarkers are needed to assist the current diagnostic system. However, complicated gene and environment interactions induce great disease heterogeneity. This unclear etiology and heterogeneity raise difficulties in distinguishing schizophrenia-related effects. Simultaneously, the overlap in symptoms, genetic variations, and brain alterations in schizophrenia and related psychiatric disorders raises similar difficulties in determining disease-specific effects. Imaging genetics is a unique methodology to assess the impact of genetic factors on both brain structure and function. More importantly, imaging genetics builds a bridge to understand the behavioral and clinical implications of genetics and neuroimaging. By characterizing and quantifying the brain measures affected in psychiatric disorders, imaging genetics is contributing to identifying potential biomarkers for schizophrenia and related disorders. To date, candidate gene analysis, genome-wide association studies, polygenetic risk score analysis, and large-scale collaborative studies have made contributions to the understanding of schizophrenia with the potential to serve as biomarkers. Despite limitations, imaging genetics remains promising as more aggregative, clustering methods and imaging genetics-compatible clinical assessments are employed in future studies. We review imaging genetics’ contribution to our understanding of the heterogeneity within schizophrenia and the commonalities across schizophrenia and other diagnostic borders, and we will discuss whether imaging genetics is ready to form its own diagnostic system. Frontiers Media S.A. 2019-07-12 /pmc/articles/PMC6639711/ /pubmed/31354550 http://dx.doi.org/10.3389/fpsyt.2019.00494 Text en Copyright © 2019 Jiang, King and Turner http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Psychiatry Jiang, Wenhao King, Tricia Z. Turner, Jessica A. Imaging Genetics Towards a Refined Diagnosis of Schizophrenia |
title | Imaging Genetics Towards a Refined Diagnosis of Schizophrenia |
title_full | Imaging Genetics Towards a Refined Diagnosis of Schizophrenia |
title_fullStr | Imaging Genetics Towards a Refined Diagnosis of Schizophrenia |
title_full_unstemmed | Imaging Genetics Towards a Refined Diagnosis of Schizophrenia |
title_short | Imaging Genetics Towards a Refined Diagnosis of Schizophrenia |
title_sort | imaging genetics towards a refined diagnosis of schizophrenia |
topic | Psychiatry |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6639711/ https://www.ncbi.nlm.nih.gov/pubmed/31354550 http://dx.doi.org/10.3389/fpsyt.2019.00494 |
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