- Stanclift CR, Dwight SS, Lee K, Eijkenboom QL, Wilsey M, Wilsey K, Kobayashi ES, Tong S, Bainbridge MN.
There is a treasure trove of valuable information in both the mapped and unmapped reads of the genome.
Gene Discovery involves identifying novel genes implicated in causing rare disease, developing methods to identify patient’s predisposition to a rare disease and building the knowledge base to improve clinical management of novel genetic disease.
At RCIGM, this work is led by Matthew Bainbridge, PhD, Assistant Director of Translational Research. His team develops novel analysis techniques to squeeze every last bit of information from WGS and to attempt to identify uncommon disease mechanisms (such as ALU insertions and deep intronic mutations) in the pediatric patient population.
Bioinformatic analysis of Whole Genome Sequencing (WGS) data is used to gain a better understanding of the mechanisms by which pathogenic genomic variants contribute to the development of rare diseases.
Traditional wet-lab modeling of novel diseases is used to functionalize variants of uncertain significance.
Several grant funded research projects are currently under Dr. Bainbridge’s direction: