Identification of genomic features in the classification of loss- and gain-of-function mutation.

Journal: BMC medical informatics and decision making
Published Date:

Abstract

BACKGROUND: Alterations of a genome can lead to changes in protein functions. Through these genetic mutations, a protein can lose its native function (loss-of-function, LoF), or it can confer a new function (gain-of-function, GoF). However, when a mutation occurs, it is difficult to determine whether it will result in a LoF or a GoF. Therefore, in this paper, we propose a study that analyzes the genomic features of LoF and GoF instances to find features that can be used to classify LoF and GoF mutations.

Authors

  • Seunghwan Jung
  • Sejoon Lee
  • Sangwoo Kim
  • Hojung Nam