logo_exac72 exome aggregation
We lead an international consortium that has assembled the world’s largest single collection of sequencing data from human protein-coding gene regions (the exome), spanning over 60,000 individuals. We’re mining this massive dataset for insights into human evolution, gene function and disease risk. Read more →
logo_muscle72 rare disease gene discovery
We develop and apply genomic technologies, including exome, whole-genome and RNA sequencing, to improve the diagnosis of rare Mendelian diseases, with a particular focus on neuromuscular disorders. Our tool xBrowse is an intuitive online portal for exploring exome and whole-genome sequencing data from rare disease families. Read more →
logo_rnaseq72 using gene expression data to interpret variation
Transcriptomic data provide powerful insights into the effects of genetic variation on gene expression and splicing. We use RNA sequencing (RNA-seq) data from muscle disease patients and from hundreds of reference samples to improve variant interpretation. Read more →
logo_lof72 loss-of-function variation
Loss-of-function (LoF) variants – genetic variations that destroy the normal function of protein-coding genes – are useful guides to disease gene identification and therapeutic target discovery. We are building new tools for discovering LoF variants, and exploring their impact on the phenotypes of tens of thousands of people. Read more →