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Genetic and genomic analyses as a basis for new diagnostic nosologies
For schizophrenia, bipolar disorder, and autism, clinical descriptions are precise and reliable, but there is great overlap among diagnoses in associated genetic polymorphisms and rare variants, treatment response, and other phenomenological findings such as brain imaging. It is widely hoped that ne...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Les Laboratoires Servier
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4421903/ https://www.ncbi.nlm.nih.gov/pubmed/25987865 |
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author | Gershon, Elliot S. Grennan, Kay S. |
author_facet | Gershon, Elliot S. Grennan, Kay S. |
author_sort | Gershon, Elliot S. |
collection | PubMed |
description | For schizophrenia, bipolar disorder, and autism, clinical descriptions are precise and reliable, but there is great overlap among diagnoses in associated genetic polymorphisms and rare variants, treatment response, and other phenomenological findings such as brain imaging. It is widely hoped that new diagnostic categories can be developed which are more precise and predictive of important features of illness, particularly response to pharmacological agents. It is the intent of this paper to describe the diagnostic implications of some current genetic findings, and to describe how the genetic associations with diagnosis may be teased apart into new associations with biologically coherent diagnostic entities and scales, based on the various functional aspects of the associated genes and functional genomic data. |
format | Online Article Text |
id | pubmed-4421903 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Les Laboratoires Servier |
record_format | MEDLINE/PubMed |
spelling | pubmed-44219032015-05-18 Genetic and genomic analyses as a basis for new diagnostic nosologies Gershon, Elliot S. Grennan, Kay S. Dialogues Clin Neurosci Clinical Research For schizophrenia, bipolar disorder, and autism, clinical descriptions are precise and reliable, but there is great overlap among diagnoses in associated genetic polymorphisms and rare variants, treatment response, and other phenomenological findings such as brain imaging. It is widely hoped that new diagnostic categories can be developed which are more precise and predictive of important features of illness, particularly response to pharmacological agents. It is the intent of this paper to describe the diagnostic implications of some current genetic findings, and to describe how the genetic associations with diagnosis may be teased apart into new associations with biologically coherent diagnostic entities and scales, based on the various functional aspects of the associated genes and functional genomic data. Les Laboratoires Servier 2015-03 /pmc/articles/PMC4421903/ /pubmed/25987865 Text en Copyright: © 2015 Institut la Conférence Hippocrate - Servier Research Group http://creativecommons.org/licenses/by-nc-nd/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by-nc-nd/3.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Clinical Research Gershon, Elliot S. Grennan, Kay S. Genetic and genomic analyses as a basis for new diagnostic nosologies |
title | Genetic and genomic analyses as a basis for new diagnostic nosologies |
title_full | Genetic and genomic analyses as a basis for new diagnostic nosologies |
title_fullStr | Genetic and genomic analyses as a basis for new diagnostic nosologies |
title_full_unstemmed | Genetic and genomic analyses as a basis for new diagnostic nosologies |
title_short | Genetic and genomic analyses as a basis for new diagnostic nosologies |
title_sort | genetic and genomic analyses as a basis for new diagnostic nosologies |
topic | Clinical Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4421903/ https://www.ncbi.nlm.nih.gov/pubmed/25987865 |
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