HGVbaseG2P: a central genetic association database. Export

@article{citeulike:3467301, abstract = {The Human Genome Variation database of Genotype to Phenotype information (HGVbaseG2P) is a new central database for summary-level findings produced by human genetic association studies, both large and small. Such a database is needed so that researchers have an easy way to access all the available association study data relevant to their genes, genome regions or diseases of interest. Such a depository will allow true positive signals to be more readily distinguished from false positives (type I error) that fail to consistently replicate. In this paper we describe how HGVbaseG2P has been constructed, and how its data are gathered and organized. We present a range of user-friendly but powerful website tools for searching, browsing and visualizing G2P study findings. HGVbaseG2P is available at http://www.hgvbaseg2p.org.}, author = {Thorisson, Gudmundur A. and Lancaster, Owen and Free, Robert C. and Hastings, Robert K. and Sarmah, Pallavi and Dash, Debasis and Brahmachari, Samir K. and Brookes, Anthony J.}, citeulike-article-id = {3467301}, citeulike-linkout-0 = {http://dx.doi.org/10.1093/nar/gkn748}, citeulike-linkout-1 = {http://nar.oxfordjournals.org/cgi/content/abstract/37/suppl_1/D797}, citeulike-linkout-2 = {http://view.ncbi.nlm.nih.gov/pubmed/18948288}, citeulike-linkout-3 = {http://www.hubmed.org/display.cgi?uids=18948288}, day = {23}, doi = {10.1093/nar/gkn748}, issn = {1362-4962}, journal = {Nucleic acids research}, keywords = {association, database, genetics, review}, month = {January}, number = {Database issue}, posted-at = {2009-11-10 08:15:13}, priority = {2}, title = {HGVbaseG2P: a central genetic association database.}, url = {http://dx.doi.org/10.1093/nar/gkn748}, volume = {37}, year = {2009} }

TY - JOUR ID - citeulike:3467301 L3 - citeulike-article-id:3467301 N2 - The Human Genome Variation database of Genotype to Phenotype information (HGVbaseG2P) is a new central database for summary-level findings produced by human genetic association studies, both large and small. Such a database is needed so that researchers have an easy way to access all the available association study data relevant to their genes, genome regions or diseases of interest. Such a depository will allow true positive signals to be more readily distinguished from false positives (type I error) that fail to consistently replicate. In this paper we describe how HGVbaseG2P has been constructed, and how its data are gathered and organized. We present a range of user-friendly but powerful website tools for searching, browsing and visualizing G2P study findings. HGVbaseG2P is available at http://www.hgvbaseg2p.org. IS - Database issue JF - Nucleic acids research SN - 1362-4962 TI - HGVbaseG2P: a central genetic association database. VL - 37 KW - association KW - database KW - genetics KW - review AU - Thorisson, Gudmundur AU - Lancaster, Owen AU - Free, Robert AU - Hastings, Robert AU - Sarmah, Pallavi AU - Dash, Debasis AU - Brahmachari, Samir AU - Brookes, Anthony PY - 2009/01/23/ UR - http://dx.doi.org/10.1093/nar/gkn748 ER -