Research Article

Discovery of somatic mutations in the progression of chronic myeloid leukemia by whole-exome sequencing

Published: February 19, 2014
Genet. Mol. Res. 13 (1) : 945-953 DOI: https://doi.org/10.4238/2014.February.19.5
Cite this Article:
Y. Huang, J. Zheng, J.D. Hu, Y.A. Wu, X.Y. Zheng, T.B. Liu, F.L. Chen (2014). Discovery of somatic mutations in the progression of chronic myeloid leukemia by whole-exome sequencing. Genet. Mol. Res. 13(1): 945-953. https://doi.org/10.4238/2014.February.19.5
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Abstract

We performed whole-exome sequencing in samples representing accelerated phase (AP) and blastic crisis (BC) in a subject with chronic myeloid leukemia (CML). A total of 12.74 Gb clean data were generated, achieving a mean depth coverage of 64.45 and 69.53 for AP and BC samples, respectively, of the target region. A total of 148 somatic variants were detected, including 76 insertions and deletions (indels), 64 single-nucleotide variations (SNV), and 8 structural variations (SV). On the basis of annotation and functional prediction analysis, we identified 3 SNVs and 6 SVs that showed a potential association with CML progression. Among the genes that harbor the identified variants, GATA2 has previously been reported to play important roles in the progression from AP to BC in CML. Identification of these genes will allow us to gain a better understanding of the pathological mechanism of CML and represents a critical advance toward new molecular diagnostic tests for the development of potential therapies for CML.

We performed whole-exome sequencing in samples representing accelerated phase (AP) and blastic crisis (BC) in a subject with chronic myeloid leukemia (CML). A total of 12.74 Gb clean data were generated, achieving a mean depth coverage of 64.45 and 69.53 for AP and BC samples, respectively, of the target region. A total of 148 somatic variants were detected, including 76 insertions and deletions (indels), 64 single-nucleotide variations (SNV), and 8 structural variations (SV). On the basis of annotation and functional prediction analysis, we identified 3 SNVs and 6 SVs that showed a potential association with CML progression. Among the genes that harbor the identified variants, GATA2 has previously been reported to play important roles in the progression from AP to BC in CML. Identification of these genes will allow us to gain a better understanding of the pathological mechanism of CML and represents a critical advance toward new molecular diagnostic tests for the development of potential therapies for CML.