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Whole-Genome Analysis in Korean Patients with Autoimmune Myasthenia Gravis
PURPOSE: The underlying cause of myasthenia gravis (MG) is unknown, although it likely involves a genetic component. However, no common genetic variants have been unequivocally linked to autoimmune MG. We sought to identify the genetic variants associated with an increased or decreased risk of devel...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Yonsei University College of Medicine
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3990093/ https://www.ncbi.nlm.nih.gov/pubmed/24719132 http://dx.doi.org/10.3349/ymj.2014.55.3.660 |
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author | Na, Sang-Jun Lee, Ji Hyun Kim, So Won Kim, Dae-Seong Shon, Eun Hee Park, Hyung Jun Shin, Ha Young Kim, Seung Min Choi, Young-Chul |
author_facet | Na, Sang-Jun Lee, Ji Hyun Kim, So Won Kim, Dae-Seong Shon, Eun Hee Park, Hyung Jun Shin, Ha Young Kim, Seung Min Choi, Young-Chul |
author_sort | Na, Sang-Jun |
collection | PubMed |
description | PURPOSE: The underlying cause of myasthenia gravis (MG) is unknown, although it likely involves a genetic component. However, no common genetic variants have been unequivocally linked to autoimmune MG. We sought to identify the genetic variants associated with an increased or decreased risk of developing MG in samples from a Korean Multicenter MG Cohort. MATERIALS AND METHODS: To determine new genetic targets related to autoimmune MG, a whole genome-based single nucleotide polymorphisms (SNP) analysis was conducted using an Axiom™ Genome-Wide ASI 1 Array, comprising 598375 SNPs and samples from 109 MG patients and 150 neurologically normal controls. RESULTS: In total, 641 SNPs from five case-control associations showed p-values of less than 10(-5). From regional analysis, we selected seven candidate genes (RYR3, CACNA1S, SLAMF1, SOX5, FHOD3, GABRB1, and SACS) for further analysis. CONCLUSION: The present study suggests that a few genetic polymorphisms, such as in RYR3, CACNA1S, and SLAMF1, might be related to autoimmune MG. Our findings also encourage further studies, particularly confirmatory studies with larger samples, to validate and analyze the association between these SNPs and autoimmune MG. |
format | Online Article Text |
id | pubmed-3990093 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Yonsei University College of Medicine |
record_format | MEDLINE/PubMed |
spelling | pubmed-39900932014-05-01 Whole-Genome Analysis in Korean Patients with Autoimmune Myasthenia Gravis Na, Sang-Jun Lee, Ji Hyun Kim, So Won Kim, Dae-Seong Shon, Eun Hee Park, Hyung Jun Shin, Ha Young Kim, Seung Min Choi, Young-Chul Yonsei Med J Original Article PURPOSE: The underlying cause of myasthenia gravis (MG) is unknown, although it likely involves a genetic component. However, no common genetic variants have been unequivocally linked to autoimmune MG. We sought to identify the genetic variants associated with an increased or decreased risk of developing MG in samples from a Korean Multicenter MG Cohort. MATERIALS AND METHODS: To determine new genetic targets related to autoimmune MG, a whole genome-based single nucleotide polymorphisms (SNP) analysis was conducted using an Axiom™ Genome-Wide ASI 1 Array, comprising 598375 SNPs and samples from 109 MG patients and 150 neurologically normal controls. RESULTS: In total, 641 SNPs from five case-control associations showed p-values of less than 10(-5). From regional analysis, we selected seven candidate genes (RYR3, CACNA1S, SLAMF1, SOX5, FHOD3, GABRB1, and SACS) for further analysis. CONCLUSION: The present study suggests that a few genetic polymorphisms, such as in RYR3, CACNA1S, and SLAMF1, might be related to autoimmune MG. Our findings also encourage further studies, particularly confirmatory studies with larger samples, to validate and analyze the association between these SNPs and autoimmune MG. Yonsei University College of Medicine 2014-05-01 2014-04-01 /pmc/articles/PMC3990093/ /pubmed/24719132 http://dx.doi.org/10.3349/ymj.2014.55.3.660 Text en © Copyright: Yonsei University College of Medicine 2014 http://creativecommons.org/licenses/by-nc/3.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Article Na, Sang-Jun Lee, Ji Hyun Kim, So Won Kim, Dae-Seong Shon, Eun Hee Park, Hyung Jun Shin, Ha Young Kim, Seung Min Choi, Young-Chul Whole-Genome Analysis in Korean Patients with Autoimmune Myasthenia Gravis |
title | Whole-Genome Analysis in Korean Patients with Autoimmune Myasthenia Gravis |
title_full | Whole-Genome Analysis in Korean Patients with Autoimmune Myasthenia Gravis |
title_fullStr | Whole-Genome Analysis in Korean Patients with Autoimmune Myasthenia Gravis |
title_full_unstemmed | Whole-Genome Analysis in Korean Patients with Autoimmune Myasthenia Gravis |
title_short | Whole-Genome Analysis in Korean Patients with Autoimmune Myasthenia Gravis |
title_sort | whole-genome analysis in korean patients with autoimmune myasthenia gravis |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3990093/ https://www.ncbi.nlm.nih.gov/pubmed/24719132 http://dx.doi.org/10.3349/ymj.2014.55.3.660 |
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