DOI QR코드

DOI QR Code

HisCoM-GGI: Software for Hierarchical Structural Component Analysis of Gene-Gene Interactions

  • Choi, Sungkyoung (Department of Pharmacology, Yonsei University College of Medicine) ;
  • Lee, Sungyoung (Center for Precision Medicine, Seoul National University Hospital) ;
  • Park, Taesung (Department of Statistics, Seoul National University)
  • Received : 2018.12.11
  • Accepted : 2018.12.18
  • Published : 2018.12.31

Abstract

Gene-gene interaction (GGI) analysis is known to play an important role in explaining missing heritability. Many previous studies have already proposed software to analyze GGI, but most methods focus on a binary phenotype in a case-control design. In this study, we developed "Hierarchical structural CoMponent analysis of Gene-Gene Interactions" (HisCoM-GGI) software for GGI analysis with a continuous phenotype. The HisCoM-GGI method considers hierarchical structural relationships between genes and single nucleotide polymorphisms (SNPs), enabling both gene-level and SNP-level interaction analysis in a single model. Furthermore, this software accepts various types of genomic data and supports data management and multithreading to improve the efficiency of genome-wide association study data analysis. We expect that HisCoM-GGI software will provide advanced accessibility to researchers in genetic interaction studies and a more effective way to understand biological mechanisms of complex diseases.

Keywords

References

  1. Manolio TA, Collins FS, Cox NJ, Goldstein DB, Hindorff LA, Hunter DJ, et al. Finding the missing heritability of complex diseases. Nature 2009;461:747-753. https://doi.org/10.1038/nature08494
  2. Choi S, Lee S, Kim Y, Hwang H, Park T. HisCoM-GGI: Hierarchical structural component analysis of gene-gene interactions. J Bioinform Comput Biol 2018;16:1840026. https://doi.org/10.1142/S0219720018400267
  3. Lee S, Choi S, Qiao D, Cho M, Silverman EK, Park T, et al. WISARD: workbench for integrated superfast association studies for related datasets. BMC Med Genomics 2018;11(Suppl 2):39. https://doi.org/10.1186/s12920-018-0345-y
  4. Hwang H, Takane Y. Generalized structured component analysis. Psychometrika 2004;69:81-99. https://doi.org/10.1007/BF02295841