Genomics & Informatics

Korea Genome Organization (한국유전체학회)
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Annotation of Genes Having Candidate Somatic Mutations in Acute Myeloid Leukemia with Whole-Exome Sequencing Using Concept Lattice Analysis

  • Lee, Kye Hwa (Division of Biomedical Informatics, Seoul National University Biomedical Informatics (SNUBI) and Systems Biomedical Informatics National Core Research Center, Seoul National University College of Medicine) ;
  • Lim, Jae Hyeun (Division of Biomedical Informatics, Seoul National University Biomedical Informatics (SNUBI) and Systems Biomedical Informatics National Core Research Center, Seoul National University College of Medicine) ;
  • Kim, Ju Han (Division of Biomedical Informatics, Seoul National University Biomedical Informatics (SNUBI) and Systems Biomedical Informatics National Core Research Center, Seoul National University College of Medicine)
  • Received : 2013.01.28
  • Accepted : 2013.02.22
  • Published : 2013.03.31
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Abstract

In cancer genome studies, the annotation of newly detected oncogene/tumor suppressor gene candidates is a challenging process. We propose using concept lattice analysis for the annotation and interpretation of genes having candidate somatic mutations in whole-exome sequencing in acute myeloid leukemia (AML). We selected 45 highly mutated genes with whole-exome sequencing in 10 normal matched samples of the AML-M2 subtype. To evaluate these genes, we performed concept lattice analysis and annotated these genes with existing knowledge databases.

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References

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