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Bhak, Jong
KOrean GenomIcs Center
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dc.citation.endPage 57 -
dc.citation.number 2 -
dc.citation.startPage 50 -
dc.citation.title GENOMICS & INFORMATICS -
dc.citation.volume 12 -
dc.contributor.author Kim, Eun-Hye -
dc.contributor.author Lee, Sunghoon -
dc.contributor.author Park, Jongsun -
dc.contributor.author Lee, Kyusang -
dc.contributor.author Kim, Byung Chul -
dc.contributor.author Bhak, Jong Hwa -
dc.date.accessioned 2023-12-22T02:38:00Z -
dc.date.available 2023-12-22T02:38:00Z -
dc.date.created 2015-07-03 -
dc.date.issued 2014-06 -
dc.description.abstract We present a new next-generation sequencing-based method to identify somatic mutations of lung cancer. It is a comprehensive mutation profiling protocol to detect somatic mutations in 30 genes found frequently in lung adenocarcinoma. The total length of the target regions is 107 kb, and a capture assay was designed to cover 99% of it. This method exhibited about 97% mean coverage at 30× sequencing depth and 42% average specificity when sequencing of more than 3.25 Gb was carried out for the normal sample. We discovered 513 variations from targeted exome sequencing of lung cancer cells, which is 3.9-fold higher than in the normal sample. The variations in cancer cells included previously reported somatic mutations in the COSMIC database, such as variations in TP53, KRAS, and STK11 of sample H-23 and in EGFR of sample H-1650, especially with more than 1,000× coverage. Among the somatic mutations, up to 91% of single nucleotide polymorphisms from the two cancer samples were validated by DNA microarray-based genotyping. Our results demonstrated the feasibility of high-throughput mutation profiling with lung adenocarcinoma samples, and the profiling method can be used as a robust and effective protocol for somatic variant screening. -
dc.identifier.bibliographicCitation GENOMICS & INFORMATICS, v.12, no.2, pp.50 - 57 -
dc.identifier.doi 10.5808/GI.2014.12.2.50 -
dc.identifier.issn 1598-866X -
dc.identifier.uri https://scholarworks.unist.ac.kr/handle/201301/11866 -
dc.identifier.url http://genominfo.org/DOIx.php?id=10.5808/GI.2014.12.2.50 -
dc.language 영어 -
dc.publisher 한국유전체학회 -
dc.title New Lung Cancer Panel for High-Throughput Targeted Resequencing -
dc.type Article -
dc.description.journalRegisteredClass kci -
dc.description.journalRegisteredClass other -

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