The research in our lab mainly focuses on the development of computational tools for the analysis of genetic data; we are mostly interested in the development of tools that enable and facilitate genetic and epigenetic studies of common complex diseases, such as cancer, rheumatoid arthritis, or cardiovascular diseases. These studies shed important light on the biological mechanisms of these diseases, and they will pave the way to improved diagnosis and a personalize treatment based on an individual's genetics.
In more technical terms, we develop methods for the analysis of population genetics data (e.g., genome-wide association studies), epigenomics data (e.g., epigenome-wide association studies), and other omics data of populations. Our main motivation is the development of these methods in order to improve and facilitate studies of complex diseases. In our search for improved methodology we also consider general problems about the population. For example, we characterized methylation differences between men and women, we developed methods for the inference of ancestry from genomics data, we showed that ancestry is a key factor in choice of mates, we helped characterizing the history of the Jewish people based on population genetic data, and we explore the potential risks for privacy when DNA data is shared in public databases.
In addition, we collaborate with groups around the world in order to study specific diseases. Particularly, we have been working on genetic and epigenetic studies of Non-Hodgkin lymphoma, leukemia, age relaetd macular degeneration, rheumatoid arthritis, coronary artery disease, myocardial infarction (heart attack), and other cardiovascular measurements.
In the media
May, 2016 - Yedael Waldman, a joint post-doc between our lab and in Alon Keinan's Cornell lab, publishes a paper about the genetic history of Bene-Israel Indian Jews. Science Daily, The Times of India, Haaretz.
November, 2015 - Our paper on epigenetic differences between men and women was featured in Nature Reviews Genetics.
January, 2013 - Our Science paper came out in the first page of the printed version of Israeli newspaper Ha'haretz, two days before the national paralament elections... Ha'aretz paper version Ha'aretz first page
May, 2011 - Profiles in Computer Science
Biomedical Computation Review
August, 2009 - Researchers Claim
New Software Can Skirt Privacy Challenges of
GenomeWeb, Innovation report, Physorg, , The Medical News (Sydney, Australia), Jerusalem Post, ynet (Israel), Biopharma.
July, 2009 - Gene linked to
increasingly common type of blood cancer
Funding and AcknowledgementsWe thank The Edmond J. Safra Center for Bioinformatics for the continuing support of many of our students.
We also thank the Israeli Science Foundation, the German-Israeli Science Foundation, IBM, The National Science Foundation, and the National Institute of Health for their support in the past, present, and hopefully in the future.
"Sparse PCA corrects for cell type heterogeneity in epigenome-wide association studies"
Nature Methods , 2016
"A genetic and socioeconomic study of mate
choice in Latinos reveals novel assortment
PNAS , 2015
"Characterization of whole-genome
autosomal differences of DNA methylation
between men and women."
Epigenetics & Chromatin , 2015
"Identifying personal genomes by surname inference"
Science , 2013
"A model-based approach for analysis of spatial structure in genetic data"
Nature Genetics, 2012
"Joint analysis of multiple metagenomic samples",
PLoS Computational Biology, 2012.
"Accurate Estimation of Expression Levels of Homologous Genes in RNA-seq Experiments"
"Genome-wide association study of follicular lymphoma identifies a risk locus at 6p21.32"
Nature Genetics, 2010
"Genomic privacy and limits of individual
detection in a pool"
Nature Genetics, 2009
"Genetic variants at 6p21.33 are associated
with susceptibility to follicular lymphoma"
Nature Genetics, 2009
"Inference of Locus-Specific Ancestry in Closely Related Populations"
ISMB, 2009 (supplement of Bioinformatics).
"SNP imputation in association studies"
Nature Biotechnology, 27(4), 349-51, 2009.
"Maximizing power in association studies"
Nature Biotechnology, 27(3), 255-6, 2009.