Mykyta Artomov, PhD

Publications

Mykyta Artomov, PhD, is an Assistant Professor at the Institute for Genomic Medicine (IGM), where he works on developing the concept of systems genetics – the integration of multiple data sources (e.g. DNA sequencing, gene expression data) in statistical frameworks that aid interpretability of experimental outcomes and novel biological hypothesis generation. His primary research focus is on developing methods for genome and exome sequencing data anaylsis and sharing, building statistical models for health outcomes using clinical and genetic data.

Applied aspects of Dr. Artomov’s work include understanding inherited susceptibilities for complex diseases – identification of disease risk genes, pathways and affected cell types. In integration with electronic healthcare records such an approach is used by Dr. Artomov to build predictive models for health outcomes.

In his postdoctoral work Dr. Artomov built tools for understanding of the biology of autistic spectrum disorder and 22q11 deletion syndrome through protein-protein network analyses. Deep experience of working with large-scale sequencing data acquired throughout his career led to a development of the algorithm for case-control association studies that do not require sharing of the individual-level data and creation of the public repository of ~40,000 exome controls.