We are a research group in the Pathology and Laboratory Medicine and Human Genetics Depts. in the David Geffen School of Medicine at UCLA that does research in computational genetics and bioinformatics. We are also affiliated with the interdepartmental Bioinformatics program and the Jonsson Comprehensive Cancer Center at UCLA
We are interested in developing computational and statistical methods for understanding the genetic architecture of common human diseases. We are particularly interested in methods that leverage the genetic diversity across and within populations for large scale studies. For more details please see our research projects and publications.
- Tutorial for running TWAS is available here.
- We released PAINTOR 3.0. Preprint at biorxiv. [ PAINTOR 2.0 paper] [Nat Genet highlight] [ PAINTOR 1.0 paper].
- Integration of ENCODE functional data with GWAS for fine-mapping (Kichaev et al PLoS Genet 2014, Kichaev et al Am J Hum Genet. 2015) or to understand risk of complex traits (Gusev et al Nat Comm 2016).
- Large-scale sequencing to quantify the contribution of rare variation to complex traits: Mancuso et al Nat Genet 2015.
- Integration of eQTL and GWAS to find risk genes for complex traits: Gusev et al Nat Genet 2016.
- Fixed-effects models to understand polygenic architecture of complex traits: Shi et al AJHG 2016.
- Methods for spatial ancestry inference: Yang et al JCB 2015, Yang et al G3 2014, and Baran et al AJHG 2013.
- We are recruiting talented postdocs/students. See here or email Bogdan.