Imperial College London


Faculty of MedicineDepartment of Brain Sciences

Professor of Neurology and Genomic Medicine



m.johnson Website




E419Burlington DanesHammersmith Campus






BibTex format

author = {Rackham, OJL and Shihab, HA and Johnson, MR and Petretto, E},
doi = {nar/gku1322},
journal = {Nucleic Acids Research},
title = {EvoTol: a protein-sequence based evolutionary intolerance framework for disease-gene prioritization},
url = {},
volume = {43},
year = {2014}

RIS format (EndNote, RefMan)

AB - Methods to interpret personal genome sequences are increasingly required. Here, we report a novel framework (EvoTol) to identify disease-causing genes using patient sequence data from within protein coding-regions. EvoTol quantifies a gene's intolerance to mutation using evolutionary conservation of protein sequences and can incorporate tissue-specific gene expression data. We apply this framework to the analysis of whole-exome sequence data in epilepsy and congenital heart disease, and demonstrate EvoTol's ability to identify known disease-causing genes is unmatched by competing methods. Application of EvoTol to the human interactome revealed networks enriched for genes intolerant to protein sequence variation, informing novel polygenic contributions to human disease.
AU - Rackham,OJL
AU - Shihab,HA
AU - Johnson,MR
AU - Petretto,E
DO - nar/gku1322
PY - 2014///
SN - 0305-1048
TI - EvoTol: a protein-sequence based evolutionary intolerance framework for disease-gene prioritization
T2 - Nucleic Acids Research
UR -
UR -
UR -
VL - 43
ER -