TY - JOUR
T1 - Whole-genome analysis in Korean patients with autoimmune myasthenia gravis
AU - Na, Sang Jun
AU - Lee, Ji Hyun
AU - Kim, So Won
AU - Kim, Dae Seong
AU - Shon, Eun Hee
AU - Park, Hyung Jun
AU - Shin, Ha Young
AU - Kim, Seung Min
AU - Choi, Young Chul
PY - 2014/5
Y1 - 2014/5
N2 - 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.
AB - 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.
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U2 - 10.3349/ymj.2014.55.3.660
DO - 10.3349/ymj.2014.55.3.660
M3 - Article
C2 - 24719132
AN - SCOPUS:84898723970
SN - 0513-5796
VL - 55
SP - 660
EP - 668
JO - Yonsei Medical Journal
JF - Yonsei Medical Journal
IS - 3
ER -