Literature DB >> 24067417

Construction and analysis of single nucleotide polymorphism-single nucleotide polymorphism interaction networks.

Yang Liu, Xutao Li, Zhiping Liu, Luonan Chen, Michael K Ng.   

Abstract

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.

Entities:  

Mesh:

Year:  2013        PMID: 24067417      PMCID: PMC8687305          DOI: 10.1049/iet-syb.2012.0055

Source DB:  PubMed          Journal:  IET Syst Biol        ISSN: 1751-8849            Impact factor:   1.615


  41 in total

1.  Gene ontology: tool for the unification of biology. The Gene Ontology Consortium.

Authors:  M Ashburner; C A Ball; J A Blake; D Botstein; H Butler; J M Cherry; A P Davis; K Dolinski; S S Dwight; J T Eppig; M A Harris; D P Hill; L Issel-Tarver; A Kasarskis; S Lewis; J C Matese; J E Richardson; M Ringwald; G M Rubin; G Sherlock
Journal:  Nat Genet       Date:  2000-05       Impact factor: 38.330

Review 2.  Single nucleotide polymorphisms and the future of genetic epidemiology.

Authors:  N J Schork; D Fallin; J S Lanchbury
Journal:  Clin Genet       Date:  2000-10       Impact factor: 4.438

Review 3.  Systems biology: a brief overview.

Authors:  Hiroaki Kitano
Journal:  Science       Date:  2002-03-01       Impact factor: 47.728

4.  Power of multifactor dimensionality reduction for detecting gene-gene interactions in the presence of genotyping error, missing data, phenocopy, and genetic heterogeneity.

Authors:  Marylyn D Ritchie; Lance W Hahn; Jason H Moore
Journal:  Genet Epidemiol       Date:  2003-02       Impact factor: 2.135

5.  SNP Function Portal: a web database for exploring the function implication of SNP alleles.

Authors:  Pinglang Wang; Manhong Dai; Weijian Xuan; Richard C McEachin; Anne U Jackson; Laura J Scott; Brian Athey; Stanley J Watson; Fan Meng
Journal:  Bioinformatics       Date:  2006-07-15       Impact factor: 6.937

6.  Quantitative function for community detection.

Authors:  Zhenping Li; Shihua Zhang; Rui-Sheng Wang; Xiang-Sun Zhang; Luonan Chen
Journal:  Phys Rev E Stat Nonlin Soft Matter Phys       Date:  2008-03-10

7.  SNP selection and classification of genome-wide SNP data using stratified sampling random forests.

Authors:  Qingyao Wu; Yunming Ye; Yang Liu; Michael K Ng
Journal:  IEEE Trans Nanobioscience       Date:  2012-09       Impact factor: 2.935

8.  Multifactor-dimensionality reduction reveals high-order interactions among estrogen-metabolism genes in sporadic breast cancer.

Authors:  M D Ritchie; L W Hahn; N Roodi; L R Bailey; W D Dupont; F F Parl; J H Moore
Journal:  Am J Hum Genet       Date:  2001-06-11       Impact factor: 11.025

9.  Identification of SNP interactions using logic regression.

Authors:  Holger Schwender; Katja Ickstadt
Journal:  Biostatistics       Date:  2007-06-19       Impact factor: 5.899

10.  A random forest approach to the detection of epistatic interactions in case-control studies.

Authors:  Rui Jiang; Wanwan Tang; Xuebing Wu; Wenhui Fu
Journal:  BMC Bioinformatics       Date:  2009-01-30       Impact factor: 3.169

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.