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Identification of Chiari Type I Malformation subtypes using whole genome expression profiles and cranial base morphometrics
BACKGROUND: Chiari Type I Malformation (CMI) is characterized by herniation of the cerebellar tonsils through the foramen magnum at the base of the skull, resulting in significant neurologic morbidity. As CMI patients display a high degree of clinical variability and multiple mechanisms have been pr...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4082616/ https://www.ncbi.nlm.nih.gov/pubmed/24962150 http://dx.doi.org/10.1186/1755-8794-7-39 |
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author | Markunas, Christina A Lock, Eric Soldano, Karen Cope, Heidi Ding, Chien-Kuang C Enterline, David S Grant, Gerald Fuchs, Herbert Ashley-Koch, Allison E Gregory, Simon G |
author_facet | Markunas, Christina A Lock, Eric Soldano, Karen Cope, Heidi Ding, Chien-Kuang C Enterline, David S Grant, Gerald Fuchs, Herbert Ashley-Koch, Allison E Gregory, Simon G |
author_sort | Markunas, Christina A |
collection | PubMed |
description | BACKGROUND: Chiari Type I Malformation (CMI) is characterized by herniation of the cerebellar tonsils through the foramen magnum at the base of the skull, resulting in significant neurologic morbidity. As CMI patients display a high degree of clinical variability and multiple mechanisms have been proposed for tonsillar herniation, it is hypothesized that this heterogeneous disorder is due to multiple genetic and environmental factors. The purpose of the present study was to gain a better understanding of what factors contribute to this heterogeneity by using an unsupervised statistical approach to define disease subtypes within a case-only pediatric population. METHODS: A collection of forty-four pediatric CMI patients were ascertained to identify disease subtypes using whole genome expression profiles generated from patient blood and dura mater tissue samples, and radiological data consisting of posterior fossa (PF) morphometrics. Sparse k-means clustering and an extension to accommodate multiple data sources were used to cluster patients into more homogeneous groups using biological and radiological data both individually and collectively. RESULTS: All clustering analyses resulted in the significant identification of patient classes, with the pure biological classes derived from patient blood and dura mater samples demonstrating the strongest evidence. Those patient classes were further characterized by identifying enriched biological pathways, as well as correlated cranial base morphological and clinical traits. CONCLUSIONS: Our results implicate several strong biological candidates warranting further investigation from the dura expression analysis and also identified a blood gene expression profile corresponding to a global down-regulation in protein synthesis. |
format | Online Article Text |
id | pubmed-4082616 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-40826162014-07-06 Identification of Chiari Type I Malformation subtypes using whole genome expression profiles and cranial base morphometrics Markunas, Christina A Lock, Eric Soldano, Karen Cope, Heidi Ding, Chien-Kuang C Enterline, David S Grant, Gerald Fuchs, Herbert Ashley-Koch, Allison E Gregory, Simon G BMC Med Genomics Research Article BACKGROUND: Chiari Type I Malformation (CMI) is characterized by herniation of the cerebellar tonsils through the foramen magnum at the base of the skull, resulting in significant neurologic morbidity. As CMI patients display a high degree of clinical variability and multiple mechanisms have been proposed for tonsillar herniation, it is hypothesized that this heterogeneous disorder is due to multiple genetic and environmental factors. The purpose of the present study was to gain a better understanding of what factors contribute to this heterogeneity by using an unsupervised statistical approach to define disease subtypes within a case-only pediatric population. METHODS: A collection of forty-four pediatric CMI patients were ascertained to identify disease subtypes using whole genome expression profiles generated from patient blood and dura mater tissue samples, and radiological data consisting of posterior fossa (PF) morphometrics. Sparse k-means clustering and an extension to accommodate multiple data sources were used to cluster patients into more homogeneous groups using biological and radiological data both individually and collectively. RESULTS: All clustering analyses resulted in the significant identification of patient classes, with the pure biological classes derived from patient blood and dura mater samples demonstrating the strongest evidence. Those patient classes were further characterized by identifying enriched biological pathways, as well as correlated cranial base morphological and clinical traits. CONCLUSIONS: Our results implicate several strong biological candidates warranting further investigation from the dura expression analysis and also identified a blood gene expression profile corresponding to a global down-regulation in protein synthesis. BioMed Central 2014-06-25 /pmc/articles/PMC4082616/ /pubmed/24962150 http://dx.doi.org/10.1186/1755-8794-7-39 Text en Copyright © 2014 Markunas et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article Markunas, Christina A Lock, Eric Soldano, Karen Cope, Heidi Ding, Chien-Kuang C Enterline, David S Grant, Gerald Fuchs, Herbert Ashley-Koch, Allison E Gregory, Simon G Identification of Chiari Type I Malformation subtypes using whole genome expression profiles and cranial base morphometrics |
title | Identification of Chiari Type I Malformation subtypes using whole genome expression profiles and cranial base morphometrics |
title_full | Identification of Chiari Type I Malformation subtypes using whole genome expression profiles and cranial base morphometrics |
title_fullStr | Identification of Chiari Type I Malformation subtypes using whole genome expression profiles and cranial base morphometrics |
title_full_unstemmed | Identification of Chiari Type I Malformation subtypes using whole genome expression profiles and cranial base morphometrics |
title_short | Identification of Chiari Type I Malformation subtypes using whole genome expression profiles and cranial base morphometrics |
title_sort | identification of chiari type i malformation subtypes using whole genome expression profiles and cranial base morphometrics |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4082616/ https://www.ncbi.nlm.nih.gov/pubmed/24962150 http://dx.doi.org/10.1186/1755-8794-7-39 |
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