TY - JOUR
T1 - Considerations when using next-generation sequencing for genetic diagnosis of long-QT syndrome in the clinical testing laboratory
AU - Chae, Hyojin
AU - Kim, Jiyeon
AU - Lee, Gun Dong
AU - Jang, Woori
AU - Park, Joonhong
AU - Jekarl, Dong Wook
AU - Oh, Yong Seog
AU - Kim, Myungshin
AU - Kim, Yonggoo
N1 - Publisher Copyright:
© 2016
PY - 2017/1/1
Y1 - 2017/1/1
N2 - Background Congenital long-QT syndrome (LQTS) is a potentially lethal cardiac electrophysiologic disorder characterized by QT interval prolongation and T-wave abnormalities. At least 13 LQTS-associated genes have been reported, but the high cost and low throughput of conventional Sanger sequencing has hampered the multi-gene-based LQTS diagnosis in clinical laboratories. Methods We developed an NGS (next-generation sequencing)-based targeted gene panel for 13 LQTS genes using the Ion PGM platform, and a cohort of 36 LQTS patients were studied for characterization of analytical performance specifications. Results This panel efficiently explored 212 of all 221 coding exons in 13 LQTS-associated genes. And for those genomic regions covered by the design of the NGS panel, the analytical sensitivity and analytical specificity for all potentially pathogenic variants were both 100% and showed 100% concordance with clinically validated Sanger sequencing results in five major LQTS genes (KCNQ1, KCNH2, SCN5A, KCNE1, and KCNE2). Conclusion This is the first description of an NGS panel targeting a multi-gene panel of 13 LQTS-associated genes. We developed and validated this robust, high-throughput NGS test and informatics pipeline for LQTS diagnosis suitable for the clinical testing laboratory.
AB - Background Congenital long-QT syndrome (LQTS) is a potentially lethal cardiac electrophysiologic disorder characterized by QT interval prolongation and T-wave abnormalities. At least 13 LQTS-associated genes have been reported, but the high cost and low throughput of conventional Sanger sequencing has hampered the multi-gene-based LQTS diagnosis in clinical laboratories. Methods We developed an NGS (next-generation sequencing)-based targeted gene panel for 13 LQTS genes using the Ion PGM platform, and a cohort of 36 LQTS patients were studied for characterization of analytical performance specifications. Results This panel efficiently explored 212 of all 221 coding exons in 13 LQTS-associated genes. And for those genomic regions covered by the design of the NGS panel, the analytical sensitivity and analytical specificity for all potentially pathogenic variants were both 100% and showed 100% concordance with clinically validated Sanger sequencing results in five major LQTS genes (KCNQ1, KCNH2, SCN5A, KCNE1, and KCNE2). Conclusion This is the first description of an NGS panel targeting a multi-gene panel of 13 LQTS-associated genes. We developed and validated this robust, high-throughput NGS test and informatics pipeline for LQTS diagnosis suitable for the clinical testing laboratory.
KW - High-throughput nucleotide sequencing
KW - Jervell–Lange Nielsen syndrome
KW - Long-QT syndrome
KW - Romano–Ward syndrome
UR - https://www.scopus.com/pages/publications/84995878865
U2 - 10.1016/j.cca.2016.11.013
DO - 10.1016/j.cca.2016.11.013
M3 - Article
C2 - 27871843
AN - SCOPUS:84995878865
SN - 0009-8981
VL - 464
SP - 128
EP - 135
JO - Clinica Chimica Acta
JF - Clinica Chimica Acta
ER -