A novel fuzzy set based multifactor dimensionality reduction method for detecting gene-gene interaction.

Journal: Computational biology and chemistry
PMID: 27765491

Abstract

BACKGROUND: Gene-gene interaction (GGI) is one of the most popular approaches for finding the missing heritability of common complex traits in genetic association studies. The multifactor dimensionality reduction (MDR) method has been widely studied for detecting GGIs. In order to identify the best interaction model associated with disease susceptibility, MDR compares all possible genotype combinations in terms of their predictability of disease status from a simple binary high(H) and low(L) risk classification. However, this simple binary classification does not reflect the uncertainty of H/L classification.

Authors

  • Hye-Young Jung
    Faculty of Liberal Education, Seoul National University, Seoul, 08826, South Korea. Electronic address: hyjunglove@snu.ac.kr.
  • Sangseob Leem
    Department of Statistics, Seoul National University, Seoul, 08826, South Korea. Electronic address: leemss@snu.ac.kr.
  • Sungyoung Lee
    Department of Computer Science and Engineering, Kyung Hee University, Yongin, Korea.
  • Taesung Park
    Interdisciplinary Program in Bioinformatics, Seoul National University, Seoul, Republic of Korea.

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