@article{4c70cb1003e811deb05e000ea68e967b,
title = "A human phenome-interactome network of protein complexes implicated in genetic disorders",
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 = "Kasper Lage and Karlberg, {E Olof} and St{\o}rling, {Zenia M} and Olason, {P{\'a}ll I} and Pedersen, {Anders G} and Olga Rigina and Hinsby, {Anders M} and Zeynep T{\"u}mer and Flemming Pociot and Niels Tommerup and Yves Moreau and S{\o}ren Brunak",
note = "Keywords: Bayes Theorem; Databases, Genetic; Databases, Protein; Genetic Diseases, Inborn; Genetic Predisposition to Disease; Humans; Mutation; Phenotype; Protein Conformation; Protein Interaction Mapping; Proteins; Proteome; Proteomics",
year = "2007",
doi = "10.1038/nbt1295",
language = "English",
volume = "25",
pages = "309--16",
journal = "Nature Biotechnology",
issn = "1087-0156",
publisher = "nature publishing group",
number = "3",
}