Single-nucleotide polymorphism-gene intermixed networking reveals co-linkers connected to multiple gene expression phenotypes.
Gene expression profiles and single-nucleotide polymorphism (SNP) profiles are modern data for genetic analysis. It is possible to use the two types of information to analyze the relationships among genes by some genetical genomics approaches. In this study, gene expression profiles were used as expression traits. And relationships among the genes, which were co-linked to a common SNP(s), were identified by integrating the two types of information. Further research on the co-expressions among the co-linked genes was carried out after the gene-SNP relationships were established using the Haseman-Elston sib-pair regression. The results showed that the co-expressions among the co-linked genes were significantly higher if the number of connections between the genes and a SNP(s) was more than six. Then, the genes were interconnected via one or more SNP co-linkers to construct a gene-SNP intermixed network. The genes sharing more SNPs tended to have a stronger correlation. Finally, a gene-gene network was constructed with their intensities of relationships (the number of SNP co-linkers shared) as the weights for the edges.
Gong
Bin-Sheng
BS
Department of Bioinformatics, Harbin Medical University, Harbin 150081, People's Republic of China. gongbinsheng@gmail.com
Zhang
Qing-Pu
QP
Zhang
Guang-Mei
GM
Zhang
Shao-Jun
SJ
Zhang
Wei
W
Lv
Hong-Chao
HC
Zhang
Fan
F
Lv
Sa-Li
SL
Li
Chuan-Xing
CX
Rao
Shao-Qi
SQ
Li
Xia
X