Evaluation and integration of 49 genome-wide experiments and the prediction of previously unknown obesity-related genes | Zendy

Sangeeta B. English | Zendy; Atul J. Butte | Zendy

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Evaluation and integration of 49 genome-wide experiments and the prediction of previously unknown obesity-related genes

Author(s) -

Sangeeta B. English,

Atul J. Butte

Publication year - 2007

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btm483

Subject(s) - genome , gene , biology , computational biology , obesity , genetics , genome wide association study , polygene , microarray , bioinformatics , quantitative trait locus , single nucleotide polymorphism , gene expression , genotype , endocrinology

Genome-wide experiments only rarely show resounding success in yielding genes associated with complex polygenic disorders. We evaluate 49 obesity-related genome-wide experiments with publicly available findings including microarray, genetics, proteomics and gene knock-down from human, mouse, rat and worm, in terms of their ability to rediscover a comprehensive set of genes previously found to be causally associated or having variants associated with obesity.

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