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Detection of somatic variants in peripheral blood lymphocytes using a next generation sequencing multigene pan cancer panel
- Source :
- Cancer Genetics. 211:5-8
- Publication Year :
- 2017
- Publisher :
- Elsevier BV, 2017.
-
Abstract
- Next Generation Sequencing (NGS) multigene panels, which are routinely used to assess hereditary cancer risk, can detect both inherited germline variants and somatic variants in cancer-risk genes. We evaluated the frequency and distribution of likely somatic Pathogenic and Likely Pathogenic variants (PVs) detected in220,000 individuals who underwent clinical testing with a 25-gene panel between September 2013 and March 2016. Likely somatic PVs are defined as variants with NGS read frequencies from 10% to 30%. Overall, 137 (0.06%) individuals were identified as carrying likely somatic PVs, most commonly in TP53 (73), CHEK2 (27), and ATM (20). Among this group, a second PV with a NGS read frequency consistent with a germline variant within the same gene or a different gene on the panel was detected in 21 individuals (15.3%), which is similar to the detection rate in our general testing population. Likely somatic PVs accounted for 38.8% of all PVs in TP53. In comparison, likely somatic PVs accounted for1% of PVs in most other genes. Likely somatic PVs were more frequently identified in older individuals (p 0.001). Additional studies are ongoing to further investigate the incidence and clinical implications of somatic variants, enabling the appropriate medical management for these patients.
- Subjects :
- 0301 basic medicine
Cancer Research
Somatic cell
Population
Biology
DNA sequencing
Germline
03 medical and health sciences
0302 clinical medicine
Neoplasms
Genetics
medicine
Humans
Genetic Predisposition to Disease
Lymphocytes
education
Molecular Biology
Gene
CHEK2
Medicine(all)
education.field_of_study
High-Throughput Nucleotide Sequencing
Cancer
medicine.disease
Peripheral blood
030104 developmental biology
030220 oncology & carcinogenesis
cardiovascular system
Subjects
Details
- ISSN :
- 22107762
- Volume :
- 211
- Database :
- OpenAIRE
- Journal :
- Cancer Genetics
- Accession number :
- edsair.doi.dedup.....3fe4f4bd5e74e63b29ba5108acabba65
- Full Text :
- https://doi.org/10.1016/j.cancergen.2017.01.002