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Annu Rev Genomics Hum Genet DOI:10.1146/annurev.genom.6.080604.162234

Disease gene discovery through integrative genomics.

Publication TypeJournal Article
Year of Publication2005
AuthorsGiallourakis, C, Henson, C, Reich, M, Xie, X, Mootha, VK
JournalAnnu Rev Genomics Hum Genet
Volume6
Pages381-406
Date Published2005
ISSN1527-8204
KeywordsDatabases, Genetic, Gene Expression Profiling, Genetic Diseases, Inborn, Genome, Human, Genomics, Humans, Models, Genetic, Phenotype, Proteomics
Abstract

The availability of complete genome sequences and the wealth of large-scale biological data sets now provide an unprecedented opportunity to elucidate the genetic basis of rare and common human diseases. Here we review some of the emerging genomics technologies and data resources that can be used to infer gene function to prioritize candidate genes. We then describe some computational strategies for integrating these large-scale data sets to provide more faithful descriptions of gene function, and how such approaches have recently been applied to discover genes underlying Mendelian disorders. Finally, we discuss future prospects and challenges for using integrative genomics to systematically discover not only single genes but also entire gene networks that underlie and modify human disease.

URLhttp://arjournals.annualreviews.org/doi/full/10.1146/annurev.genom.6.080604.162234?url_ver=Z39.88-2003&rfr_id=ori:rid:crossref.org&rfr_dat=cr_pub%3dpubmed
DOI10.1146/annurev.genom.6.080604.162234
Pubmed

http://www.ncbi.nlm.nih.gov/pubmed/16124867?dopt=Abstract

Alternate JournalAnnu Rev Genomics Hum Genet
PubMed ID16124867