Nature Communications (Nov 2017)
Prevalence and detection of low-allele-fraction variants in clinical cancer samples
- Hyun-Tae Shin,
- Yoon-La Choi,
- Jae Won Yun,
- Nayoung K. D. Kim,
- Sook-Young Kim,
- Hyo Jeong Jeon,
- Jae-Yong Nam,
- Chung Lee,
- Daeun Ryu,
- Sang Cheol Kim,
- Kyunghee Park,
- Eunjin Lee,
- Joon Seol Bae,
- Dae Soon Son,
- Je-Gun Joung,
- Jeeyun Lee,
- Seung Tae Kim,
- Myung-Ju Ahn,
- Se-Hoon Lee,
- Jin Seok Ahn,
- Woo Yong Lee,
- Bo Young Oh,
- Yeon Hee Park,
- Jeong Eon Lee,
- Kwang Hyuk Lee,
- Hee Cheol Kim,
- Kyoung-Mee Kim,
- Young-Hyuck Im,
- Keunchil Park,
- Peter J. Park,
- Woong-Yang Park
Affiliations
- Hyun-Tae Shin
- Samsung Genome Institute, Samsung Medical Center
- Yoon-La Choi
- Samsung Advanced Institute of Health Science and Technology, Sungkyunkwan University
- Jae Won Yun
- Samsung Genome Institute, Samsung Medical Center
- Nayoung K. D. Kim
- Samsung Genome Institute, Samsung Medical Center
- Sook-Young Kim
- Samsung Genome Institute, Samsung Medical Center
- Hyo Jeong Jeon
- Samsung Genome Institute, Samsung Medical Center
- Jae-Yong Nam
- Samsung Genome Institute, Samsung Medical Center
- Chung Lee
- Samsung Genome Institute, Samsung Medical Center
- Daeun Ryu
- Samsung Genome Institute, Samsung Medical Center
- Sang Cheol Kim
- Samsung Genome Institute, Samsung Medical Center
- Kyunghee Park
- Samsung Genome Institute, Samsung Medical Center
- Eunjin Lee
- Samsung Genome Institute, Samsung Medical Center
- Joon Seol Bae
- Samsung Genome Institute, Samsung Medical Center
- Dae Soon Son
- Samsung Genome Institute, Samsung Medical Center
- Je-Gun Joung
- Samsung Genome Institute, Samsung Medical Center
- Jeeyun Lee
- Department of Hematology and Oncology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine
- Seung Tae Kim
- Department of Hematology and Oncology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine
- Myung-Ju Ahn
- Department of Hematology and Oncology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine
- Se-Hoon Lee
- Department of Hematology and Oncology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine
- Jin Seok Ahn
- Department of Hematology and Oncology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine
- Woo Yong Lee
- Department of Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine
- Bo Young Oh
- Department of Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine
- Yeon Hee Park
- Department of Hematology and Oncology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine
- Jeong Eon Lee
- Department of Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine
- Kwang Hyuk Lee
- Division of Gastroenterology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine
- Hee Cheol Kim
- Department of Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine
- Kyoung-Mee Kim
- Department of Pathology and Translational Genomics, Samsung Medical Center, Sungkyunkwan University School of Medicine
- Young-Hyuck Im
- Department of Hematology and Oncology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine
- Keunchil Park
- Department of Hematology and Oncology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine
- Peter J. Park
- Department of Biomedical Informatics, Harvard Medical School
- Woong-Yang Park
- Samsung Genome Institute, Samsung Medical Center
- DOI
- https://doi.org/10.1038/s41467-017-01470-y
- Journal volume & issue
-
Vol. 8,
no. 1
pp. 1 – 10
Abstract
High-throughput sequencing is used to identify somatic variants in cancer patients. Here, the authors perform panel-based profiling of 5095 clinical samples and demonstrate that many clinically-actionable variants have low variant allele fractions, requiring assays with high detection sensitivity.
