A human phenome-interactome network of protein complexes implicated in genetic disorders Export

@article{citeulike:1146927, abstract = {We performed a systematic, large-scale analysis of human protein complexes comprising gene products implicated in many different categories of human disease to create a phenome-interactome network. This was done by integrating quality-controlled interactions of human proteins with a validated, computationally derived phenotype similarity score, permitting identification of previously unknown complexes likely to be associated with disease. Using a phenomic ranking of protein complexes linked to human disease, we developed a Bayesian predictor that in 298 of 669 linkage intervals correctly ranks the known disease-causing protein as the top candidate, and in 870 intervals with no identified disease-causing gene, provides novel candidates implicated in disorders such as retinitis pigmentosa, epithelial ovarian cancer, inflammatory bowel disease, amyotrophic lateral sclerosis, Alzheimer disease, type 2 diabetes and coronary heart disease. Our publicly available draft of protein complexes associated with pathology comprises 506 complexes, which reveal functional relationships between disease-promoting genes that will inform future experimentation.}, author = {Lage, Kasper and Karlberg, E. Olof and Storling, Zenia M. and Olason, Pall I. and Pedersen, Anders G. and Rigina, Olga and Hinsby, Anders M. and Tumer, Zeynep and Pociot, Flemming and Tommerup, Niels and Moreau, Yves and Brunak, Soren}, citeulike-article-id = {1146927}, citeulike-linkout-0 = {http://dx.doi.org/10.1038/nbt1295}, citeulike-linkout-1 = {http://dx.doi.org/10.1038/nbt1295}, citeulike-linkout-2 = {http://view.ncbi.nlm.nih.gov/pubmed/17344885}, citeulike-linkout-3 = {http://www.hubmed.org/display.cgi?uids=17344885}, day = {07}, doi = {10.1038/nbt1295}, issn = {1087-0156}, journal = {Nature Biotechnology}, keywords = {bayes, computational, disease, human, prediction}, month = {March}, number = {3}, pages = {309--316}, posted-at = {2007-03-08 13:03:54}, priority = {3}, publisher = {Nature Publishing Group}, title = {A human phenome-interactome network of protein complexes implicated in genetic disorders}, url = {http://dx.doi.org/10.1038/nbt1295}, volume = {25}, year = {2007} }

TY - JOUR ID - citeulike:1146927 L3 - citeulike-article-id:1146927 N2 - We performed a systematic, large-scale analysis of human protein complexes comprising gene products implicated in many different categories of human disease to create a phenome-interactome network. This was done by integrating quality-controlled interactions of human proteins with a validated, computationally derived phenotype similarity score, permitting identification of previously unknown complexes likely to be associated with disease. Using a phenomic ranking of protein complexes linked to human disease, we developed a Bayesian predictor that in 298 of 669 linkage intervals correctly ranks the known disease-causing protein as the top candidate, and in 870 intervals with no identified disease-causing gene, provides novel candidates implicated in disorders such as retinitis pigmentosa, epithelial ovarian cancer, inflammatory bowel disease, amyotrophic lateral sclerosis, Alzheimer disease, type 2 diabetes and coronary heart disease. Our publicly available draft of protein complexes associated with pathology comprises 506 complexes, which reveal functional relationships between disease-promoting genes that will inform future experimentation. IS - 3 JF - Nature Biotechnology SN - 1087-0156 EP - 316 TI - A human phenome-interactome network of protein complexes implicated in genetic disorders PB - Nature Publishing Group VL - 25 SP - 309 KW - bayes KW - computational KW - disease KW - human KW - prediction AU - Lage, Kasper AU - Karlberg, Olof AU - Storling, Zenia AU - Olason, Pall AU - Pedersen, Anders AU - Rigina, Olga AU - Hinsby, Anders AU - Tumer, Zeynep AU - Pociot, Flemming AU - Tommerup, Niels AU - Moreau, Yves AU - Brunak, Soren PY - 2007/03/07/ UR - http://dx.doi.org/10.1038/nbt1295 ER -