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.
- Our ENCODE+GWAS to for prostate cancer is in press at Nature Communications.
- Our eQTL+GWAS paper is now in press at Nature Genetics! [preprint][TWAS softare].
- Welcome Val to our group! Val is interested in shared genetic basis of monogenic and complex traits.
- Our work on estimating the contribution of rare variants to prostate cancer risk is in press at Nature Genetics [preprint].
- We released PAINTOR 2.0! New features include multi-ethnic fine-mapping with ENCODE/ROADMAP functional data. Manuscript online at Am J Hum Genet. [Nature Genetics 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 gene expression and GWAS to find risk genes for complex traits: Gusev et al Nat Genet 2016.
- Leveraging ancestry in the identification of causal genes for monogenic disorders: Brown et al EJHG 2015.
- 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.