Yuval ITAN
Assistant Professor, Department of Genetics and Genomics, Icahn School of Medicine at Mount Sinai, USA

Current Positions

Assistant Professor, Department of Genetics and Genomics, Icahn School of Medicine at Mount Sinai, New York, NY, USA

Member, The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA

Guest Investigator, Laboratory of Human Genetics of Infectious Diseases, The Rockefeller University, New York, NY, USA

 

Key Publications

Itan Y, Shang L, Boisson B et al. (2016). The mutation significance cutoff: gene-level thresholds for variant predictions. Nature Methods. 28;13(2):109-10.

Itan Y, Shang L, Boisson B et al. (2015). The human gene damage index as a novel gene-level approach to prioritize exome variations. PNAS. 3;112(44):13615-20.

Itan Y, Zhang SY, Vogt G, Abhyankar A et al. (2013). The Human Gene Connectome as A Map of Short Cuts for Morbid Allele Discovery. PNAS. 110:14. 5558-5563.

 

Selected Oral Presentations

12/2012    Keynote Speaker, 10th Annual Rocky Mountain Bioinformatics Conference of the International Society for Computational Biology (ISCB). Snowmass, CO, USA.

10/2015    Invited Speaker, American Society of Human Genetics (ASHG) meeting. Baltimore, MD, USA.

04/2016    Chairman and invited speaker, 5th Bio-IT World Conference, Boston, MA, USA.

 

Honors

2012         European Society for Immunodeficiencies (ESID) Oral Presentation Award.

2014         Keystone Symposia Future of Science Fund Scholarship.

2015         The Rockefeller NIH Clinical and Translational Science Award (CTSA).

 

Professional Societies and Academic Activities

Member, International Society for Computational Biology (ISCB).

Member, American Society of Human Genetics (ASHG).

Member, American Society of Human Genetics (ASHG).

Ad hoc reviewer for Nature Genetics, Nature Methods, New England Journal of Medicine.

Chief Guest Editor for Evolutionary Bioinformatics Supplementary of Evolutionary Genomics.

Handling Editor for Annals of Human Genetics.