Align human interactome with phenome to identify causative genes and networks underlying disease families | Zendy

Xuebing Wu | Zendy; Qifang Liu | Zendy; Rui Jiang | Zendy

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Align human interactome with phenome to identify causative genes and networks underlying disease families

Author(s) -

Xuebing Wu,

Qifang Liu,

Rui Jiang

Publication year - 2008

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btn593

Subject(s) - phenome , interactome , computational biology , biology , phenotype , gene , genome , disease , genome wide association study , genetics , genetic association , bioinformatics , medicine , genotype , single nucleotide polymorphism , pathology

Understanding the complexity in gene-phenotype relationship is vital for revealing the genetic basis of common diseases. Recent studies on the basis of human interactome and phenome not only uncovers prevalent phenotypic overlap and genetic overlap between diseases, but also reveals a modular organization of the genetic landscape of human diseases, providing new opportunities to reduce the complexity in dissecting the gene-phenotype association.

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