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Construction and analysis of single nucleotide polymorphism–single nucleotide polymorphism interaction networks
Author(s) -
Liu Yang,
Li Xutao,
Liu Zhiping,
Chen Luonan,
Ng Michael K.
Publication year - 2013
Publication title -
iet systems biology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.367
H-Index - 50
eISSN - 1751-8857
pISSN - 1751-8849
DOI - 10.1049/iet-syb.2012.0055
Subject(s) - snp , single nucleotide polymorphism , genetics , computational biology , biology , tag snp , snp array , gene , genotype
The study of gene regulatory network and protein–protein interaction network is believed to be fundamental to the understanding of molecular processes and functions in systems biology. In this study, the authors are interested in single nucleotide polymorphism (SNP) level and construct SNP–SNP interaction network to understand genetic characters and pathogenetic mechanisms of complex diseases. The authors employ existing methods to mine, model and evaluate a SNP sub‐network from SNP–SNP interactions. In the study, the authors employ the two SNP datasets: Parkinson disease and coronary artery disease to demonstrate the procedure of construction and analysis of SNP–SNP interaction networks. Experimental results are reported to demonstrate the procedure of construction and analysis of such SNP–SNP interaction networks can recover some existing biological results and related disease genes.

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