Genomics & Informatics

  • 제11권1호
  • /
  • Pages.46-51
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  • 2013
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  • 1598-866X(pISSN)
  • /
  • 2234-0742(eISSN)
한국유전체학회 (Korea Genome Organization)
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Genetic Risk Prediction for Normal-Karyotype Acute Myeloid Leukemia Using Whole-Exome Sequencing

  • Heo, Seong Gu (Department of Medical Genetics, Hallym University College of Medicine) ;
  • Hong, Eun Pyo (Department of Medical Genetics, Hallym University College of Medicine) ;
  • Park, Ji Wan (Department of Medical Genetics, Hallym University College of Medicine)
  • 투고 : 2013.01.23
  • 심사 : 2013.02.18
  • 발행 : 2013.03.31
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초록

Normal-karyotype acute myeloid leukemia (NK-AML) is a highly malignant and cytogenetically heterogeneous hematologic cancer. We searched for somatic mutations from 10 pairs of tumor and normal cells by using a highly efficient and reliable analysis workflow for whole-exome sequencing data and performed association tests between the NK-AML and somatic mutations. We identified 21 nonsynonymous single nucleotide variants (SNVs) located in a coding region of 18 genes. Among them, the SNVs of three leukemia-related genes (MUC4, CNTNAP2, and GNAS) reported in previous studies were replicated in this study. We conducted stepwise genetic risk score (GRS) models composed of the NK-AML susceptible variants and evaluated the prediction accuracy of each GRS model by computing the area under the receiver operating characteristic curve (AUC). The GRS model that was composed of five SNVs (rs75156964, rs56213454, rs6604516, rs10888338, and rs2443878) showed 100% prediction accuracy, and the combined effect of the three reported genes was validated in the current study (AUC, 0.98; 95% confidence interval, 0.92 to 1.00). Further study with large sample sizes is warranted to validate the combined effect of these somatic point mutations, and the discovery of novel markers may provide an opportunity to develop novel diagnostic and therapeutic targets for NK-AML.

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  2. Identification of somatic mutations using whole-exome sequencing in Korean patients with acute myeloid leukemia vol.18, pp.1, 2017, https://doi.org/10.1186/s12881-017-0382-y
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