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Advances in the genetics of schizophrenia: will high-risk copy number variants be useful in clinical genetics or diagnostics?
Schizophrenia is a highly heritable, common mental illness, affecting 1% of the population worldwide. It is currently diagnosed using exclusive clinical criteria, and at present there are no genetic tests to facilitate this process. There are also no reliable means to predict who will develop the di...
Autores principales: | , , , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
Medicine Reports Ltd
2009
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2948301/ https://www.ncbi.nlm.nih.gov/pubmed/20948719 http://dx.doi.org/10.3410/M1-61 |
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author | Collier, David A Vassos, Evangelos Holden, Simon Patch, Christine McGuire, Philip Lewis, Cathryn |
author_facet | Collier, David A Vassos, Evangelos Holden, Simon Patch, Christine McGuire, Philip Lewis, Cathryn |
author_sort | Collier, David A |
collection | PubMed |
description | Schizophrenia is a highly heritable, common mental illness, affecting 1% of the population worldwide. It is currently diagnosed using exclusive clinical criteria, and at present there are no genetic tests to facilitate this process. There are also no reliable means to predict who will develop the disease in later life. Genetic counselling uses crude estimates of risk based on family history, as the strongest predictive factor is having an affected first-degree relative. It has recently become apparent that large de novo deletions in the genome (copy number variants, or CNVs) can increase risk of the disease by tenfold or more. The purpose of this report is to assess whether these ‘high risk’ pathogenic CNVs might be useful in a clinical genetic or diagnostic setting. Routine use of laboratory techniques such as comparative genome hybridisation will reveal these de novo CNVs in standard investigative procedures for referrals to clinical genetics. The lack of disease specificity of CNVs presents problems for their use in diagnosis at present. Currently, there is also insufficient evidence in relation to schizophrenia to suggest that clear clinical benefit would be gained from learning one's genetic status pre-symptomatically. However, this is likely to change rapidly in the near future as knowledge of the genetic and environmental basis of schizophrenia accrues and increasingly effective measures for early intervention and risk reduction are developed. |
format | Text |
id | pubmed-2948301 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2009 |
publisher | Medicine Reports Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-29483012010-10-14 Advances in the genetics of schizophrenia: will high-risk copy number variants be useful in clinical genetics or diagnostics? Collier, David A Vassos, Evangelos Holden, Simon Patch, Christine McGuire, Philip Lewis, Cathryn F1000 Med Rep Review Article Schizophrenia is a highly heritable, common mental illness, affecting 1% of the population worldwide. It is currently diagnosed using exclusive clinical criteria, and at present there are no genetic tests to facilitate this process. There are also no reliable means to predict who will develop the disease in later life. Genetic counselling uses crude estimates of risk based on family history, as the strongest predictive factor is having an affected first-degree relative. It has recently become apparent that large de novo deletions in the genome (copy number variants, or CNVs) can increase risk of the disease by tenfold or more. The purpose of this report is to assess whether these ‘high risk’ pathogenic CNVs might be useful in a clinical genetic or diagnostic setting. Routine use of laboratory techniques such as comparative genome hybridisation will reveal these de novo CNVs in standard investigative procedures for referrals to clinical genetics. The lack of disease specificity of CNVs presents problems for their use in diagnosis at present. Currently, there is also insufficient evidence in relation to schizophrenia to suggest that clear clinical benefit would be gained from learning one's genetic status pre-symptomatically. However, this is likely to change rapidly in the near future as knowledge of the genetic and environmental basis of schizophrenia accrues and increasingly effective measures for early intervention and risk reduction are developed. Medicine Reports Ltd 2009-08-17 /pmc/articles/PMC2948301/ /pubmed/20948719 http://dx.doi.org/10.3410/M1-61 Text en © 2009 Medicine Reports Ltd http://creativecommons.org/licenses/by-nc/3.0/legalcode This is an open-access article distributed under the terms of the Creative Commons Attribution-Non Commercial License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. You may not use this work for commercial purposes |
spellingShingle | Review Article Collier, David A Vassos, Evangelos Holden, Simon Patch, Christine McGuire, Philip Lewis, Cathryn Advances in the genetics of schizophrenia: will high-risk copy number variants be useful in clinical genetics or diagnostics? |
title | Advances in the genetics of schizophrenia: will high-risk copy number variants be useful in clinical genetics or diagnostics? |
title_full | Advances in the genetics of schizophrenia: will high-risk copy number variants be useful in clinical genetics or diagnostics? |
title_fullStr | Advances in the genetics of schizophrenia: will high-risk copy number variants be useful in clinical genetics or diagnostics? |
title_full_unstemmed | Advances in the genetics of schizophrenia: will high-risk copy number variants be useful in clinical genetics or diagnostics? |
title_short | Advances in the genetics of schizophrenia: will high-risk copy number variants be useful in clinical genetics or diagnostics? |
title_sort | advances in the genetics of schizophrenia: will high-risk copy number variants be useful in clinical genetics or diagnostics? |
topic | Review Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2948301/ https://www.ncbi.nlm.nih.gov/pubmed/20948719 http://dx.doi.org/10.3410/M1-61 |
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