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Quantitative magnetic resonance imaging traits as endophenotypes for genetic mapping in epilepsy

Over the last decade, the field of imaging genomics has combined high-throughput genotype data with quantitative magnetic resonance imaging (QMRI) measures to identify genes associated with brain structure, cognition, and several brain-related disorders. Despite its successful application in differe...

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Autores principales: Alhusaini, Saud, Whelan, Christopher D., Sisodiya, Sanjay M., Thompson, Paul M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5030372/
https://www.ncbi.nlm.nih.gov/pubmed/27672556
http://dx.doi.org/10.1016/j.nicl.2016.09.005
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author Alhusaini, Saud
Whelan, Christopher D.
Sisodiya, Sanjay M.
Thompson, Paul M.
author_facet Alhusaini, Saud
Whelan, Christopher D.
Sisodiya, Sanjay M.
Thompson, Paul M.
author_sort Alhusaini, Saud
collection PubMed
description Over the last decade, the field of imaging genomics has combined high-throughput genotype data with quantitative magnetic resonance imaging (QMRI) measures to identify genes associated with brain structure, cognition, and several brain-related disorders. Despite its successful application in different psychiatric and neurological disorders, the field has yet to be advanced in epilepsy. In this article we examine the relevance of imaging genomics for future genetic studies in epilepsy from three perspectives. First, we discuss prior genome-wide genetic mapping efforts in epilepsy, considering the possibility that some studies may have been constrained by inherent theoretical and methodological limitations of the genome-wide association study (GWAS) method. Second, we offer a brief overview of the imaging genomics paradigm, from its original inception, to its role in the discovery of important risk genes in a number of brain-related disorders, and its successful application in large-scale multinational research networks. Third, we provide a comprehensive review of past studies that have explored the eligibility of brain QMRI traits as endophenotypes for epilepsy. While the breadth of studies exploring QMRI-derived endophenotypes in epilepsy remains narrow, robust syndrome-specific neuroanatomical QMRI traits have the potential to serve as accessible and relevant intermediate phenotypes for future genetic mapping efforts in epilepsy.
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spelling pubmed-50303722016-09-26 Quantitative magnetic resonance imaging traits as endophenotypes for genetic mapping in epilepsy Alhusaini, Saud Whelan, Christopher D. Sisodiya, Sanjay M. Thompson, Paul M. Neuroimage Clin Review Article Over the last decade, the field of imaging genomics has combined high-throughput genotype data with quantitative magnetic resonance imaging (QMRI) measures to identify genes associated with brain structure, cognition, and several brain-related disorders. Despite its successful application in different psychiatric and neurological disorders, the field has yet to be advanced in epilepsy. In this article we examine the relevance of imaging genomics for future genetic studies in epilepsy from three perspectives. First, we discuss prior genome-wide genetic mapping efforts in epilepsy, considering the possibility that some studies may have been constrained by inherent theoretical and methodological limitations of the genome-wide association study (GWAS) method. Second, we offer a brief overview of the imaging genomics paradigm, from its original inception, to its role in the discovery of important risk genes in a number of brain-related disorders, and its successful application in large-scale multinational research networks. Third, we provide a comprehensive review of past studies that have explored the eligibility of brain QMRI traits as endophenotypes for epilepsy. While the breadth of studies exploring QMRI-derived endophenotypes in epilepsy remains narrow, robust syndrome-specific neuroanatomical QMRI traits have the potential to serve as accessible and relevant intermediate phenotypes for future genetic mapping efforts in epilepsy. Elsevier 2016-09-08 /pmc/articles/PMC5030372/ /pubmed/27672556 http://dx.doi.org/10.1016/j.nicl.2016.09.005 Text en © 2016 The Authors http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Review Article
Alhusaini, Saud
Whelan, Christopher D.
Sisodiya, Sanjay M.
Thompson, Paul M.
Quantitative magnetic resonance imaging traits as endophenotypes for genetic mapping in epilepsy
title Quantitative magnetic resonance imaging traits as endophenotypes for genetic mapping in epilepsy
title_full Quantitative magnetic resonance imaging traits as endophenotypes for genetic mapping in epilepsy
title_fullStr Quantitative magnetic resonance imaging traits as endophenotypes for genetic mapping in epilepsy
title_full_unstemmed Quantitative magnetic resonance imaging traits as endophenotypes for genetic mapping in epilepsy
title_short Quantitative magnetic resonance imaging traits as endophenotypes for genetic mapping in epilepsy
title_sort quantitative magnetic resonance imaging traits as endophenotypes for genetic mapping in epilepsy
topic Review Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5030372/
https://www.ncbi.nlm.nih.gov/pubmed/27672556
http://dx.doi.org/10.1016/j.nicl.2016.09.005
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