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Chromosome loci vary by juvenile myoclonic epilepsy subsyndromes: linkage and haplotype analysis applied to epilepsy and EEG 3.5–6.0 Hz polyspike waves

Juvenile myoclonic epilepsy (JME), the most common genetic epilepsy, remains enigmatic because it is considered one disease instead of several diseases. We ascertained three large multigenerational/multiplex JME pedigrees from Honduras with differing JME subsyndromes, including Childhood Absence Epi...

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Autores principales: Wight, Jenny E., Nguyen, Viet‐Huong, Medina, Marco T., Patterson, Christopher, Durón, Reyna M., Molina, Yolly, Lin, Yu‐Chen, Martínez‐Juárez, Iris E., Ochoa, Adriana, Jara‐Prado, Aurelio, Tanaka, Miyabi, Bai, Dongsheng, Aftab, Sumaya, Bailey, Julia N., Delgado‐Escueta, Antonio V.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4799870/
https://www.ncbi.nlm.nih.gov/pubmed/27066514
http://dx.doi.org/10.1002/mgg3.195
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author Wight, Jenny E.
Nguyen, Viet‐Huong
Medina, Marco T.
Patterson, Christopher
Durón, Reyna M.
Molina, Yolly
Lin, Yu‐Chen
Martínez‐Juárez, Iris E.
Ochoa, Adriana
Jara‐Prado, Aurelio
Tanaka, Miyabi
Bai, Dongsheng
Aftab, Sumaya
Bailey, Julia N.
Delgado‐Escueta, Antonio V.
author_facet Wight, Jenny E.
Nguyen, Viet‐Huong
Medina, Marco T.
Patterson, Christopher
Durón, Reyna M.
Molina, Yolly
Lin, Yu‐Chen
Martínez‐Juárez, Iris E.
Ochoa, Adriana
Jara‐Prado, Aurelio
Tanaka, Miyabi
Bai, Dongsheng
Aftab, Sumaya
Bailey, Julia N.
Delgado‐Escueta, Antonio V.
author_sort Wight, Jenny E.
collection PubMed
description Juvenile myoclonic epilepsy (JME), the most common genetic epilepsy, remains enigmatic because it is considered one disease instead of several diseases. We ascertained three large multigenerational/multiplex JME pedigrees from Honduras with differing JME subsyndromes, including Childhood Absence Epilepsy evolving to JME (CAE/JME; pedigree 1), JME with adolescent onset pyknoleptic absence (JME/pA; pedigree 2), and classic JME (cJME; pedigree 3). All phenotypes were validated, including symptomatic persons with various epilepsies, asymptomatic persons with EEG 3.5–6.0 Hz polyspike waves, and asymptomatic persons with normal EEGs. Two‐point parametric linkage analyses were performed with 5185 single‐nucleotide polymorphisms on individual pedigrees and pooled pedigrees using four diagnostic models based on epilepsy/EEG diagnoses. Haplotype analyses of the entire genome were also performed for each individual. In pedigree 1, haplotyping identified a 34 cM region in 2q21.2–q31.1 cosegregating with all affected members, an area close to 2q14.3 identified by linkage (Z (max) = 1.77; pedigree 1). In pedigree 2, linkage and haplotyping identified a 44 cM cosegregating region in 13q13.3–q31.2 (Z (max) = 3.50 at 13q31.1; pooled pedigrees). In pedigree 3, haplotyping identified a 6 cM cosegregating region in 17q12. Possible cosegregation was also identified in 13q14.2 and 1q32 in pedigree 3, although this could not be definitively confirmed due to the presence of uninformative markers in key individuals. Differing chromosome regions identified in specific JME subsyndromes may contain separate JME disease‐causing genes, favoring the concept of JME as several distinct diseases. Whole‐exome sequencing will likely identify a CAE/JME gene in 2q21.2–2q31.1, a JME/pA gene in 13q13.3–q31.2, and a cJME gene in 17q12.
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spelling pubmed-47998702016-04-08 Chromosome loci vary by juvenile myoclonic epilepsy subsyndromes: linkage and haplotype analysis applied to epilepsy and EEG 3.5–6.0 Hz polyspike waves Wight, Jenny E. Nguyen, Viet‐Huong Medina, Marco T. Patterson, Christopher Durón, Reyna M. Molina, Yolly Lin, Yu‐Chen Martínez‐Juárez, Iris E. Ochoa, Adriana Jara‐Prado, Aurelio Tanaka, Miyabi Bai, Dongsheng Aftab, Sumaya Bailey, Julia N. Delgado‐Escueta, Antonio V. Mol Genet Genomic Med Original Articles Juvenile myoclonic epilepsy (JME), the most common genetic epilepsy, remains enigmatic because it is considered one disease instead of several diseases. We ascertained three large multigenerational/multiplex JME pedigrees from Honduras with differing JME subsyndromes, including Childhood Absence Epilepsy evolving to JME (CAE/JME; pedigree 1), JME with adolescent onset pyknoleptic absence (JME/pA; pedigree 2), and classic JME (cJME; pedigree 3). All phenotypes were validated, including symptomatic persons with various epilepsies, asymptomatic persons with EEG 3.5–6.0 Hz polyspike waves, and asymptomatic persons with normal EEGs. Two‐point parametric linkage analyses were performed with 5185 single‐nucleotide polymorphisms on individual pedigrees and pooled pedigrees using four diagnostic models based on epilepsy/EEG diagnoses. Haplotype analyses of the entire genome were also performed for each individual. In pedigree 1, haplotyping identified a 34 cM region in 2q21.2–q31.1 cosegregating with all affected members, an area close to 2q14.3 identified by linkage (Z (max) = 1.77; pedigree 1). In pedigree 2, linkage and haplotyping identified a 44 cM cosegregating region in 13q13.3–q31.2 (Z (max) = 3.50 at 13q31.1; pooled pedigrees). In pedigree 3, haplotyping identified a 6 cM cosegregating region in 17q12. Possible cosegregation was also identified in 13q14.2 and 1q32 in pedigree 3, although this could not be definitively confirmed due to the presence of uninformative markers in key individuals. Differing chromosome regions identified in specific JME subsyndromes may contain separate JME disease‐causing genes, favoring the concept of JME as several distinct diseases. Whole‐exome sequencing will likely identify a CAE/JME gene in 2q21.2–2q31.1, a JME/pA gene in 13q13.3–q31.2, and a cJME gene in 17q12. John Wiley and Sons Inc. 2016-01-23 /pmc/articles/PMC4799870/ /pubmed/27066514 http://dx.doi.org/10.1002/mgg3.195 Text en © 2016 The Authors. Molecular Genetics & Genomic Medicine published by Wiley Periodicals, Inc. This is an open access article under the terms of the Creative Commons Attribution (http://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Articles
Wight, Jenny E.
Nguyen, Viet‐Huong
Medina, Marco T.
Patterson, Christopher
Durón, Reyna M.
Molina, Yolly
Lin, Yu‐Chen
Martínez‐Juárez, Iris E.
Ochoa, Adriana
Jara‐Prado, Aurelio
Tanaka, Miyabi
Bai, Dongsheng
Aftab, Sumaya
Bailey, Julia N.
Delgado‐Escueta, Antonio V.
Chromosome loci vary by juvenile myoclonic epilepsy subsyndromes: linkage and haplotype analysis applied to epilepsy and EEG 3.5–6.0 Hz polyspike waves
title Chromosome loci vary by juvenile myoclonic epilepsy subsyndromes: linkage and haplotype analysis applied to epilepsy and EEG 3.5–6.0 Hz polyspike waves
title_full Chromosome loci vary by juvenile myoclonic epilepsy subsyndromes: linkage and haplotype analysis applied to epilepsy and EEG 3.5–6.0 Hz polyspike waves
title_fullStr Chromosome loci vary by juvenile myoclonic epilepsy subsyndromes: linkage and haplotype analysis applied to epilepsy and EEG 3.5–6.0 Hz polyspike waves
title_full_unstemmed Chromosome loci vary by juvenile myoclonic epilepsy subsyndromes: linkage and haplotype analysis applied to epilepsy and EEG 3.5–6.0 Hz polyspike waves
title_short Chromosome loci vary by juvenile myoclonic epilepsy subsyndromes: linkage and haplotype analysis applied to epilepsy and EEG 3.5–6.0 Hz polyspike waves
title_sort chromosome loci vary by juvenile myoclonic epilepsy subsyndromes: linkage and haplotype analysis applied to epilepsy and eeg 3.5–6.0 hz polyspike waves
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4799870/
https://www.ncbi.nlm.nih.gov/pubmed/27066514
http://dx.doi.org/10.1002/mgg3.195
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