Prof. Ohad Birk

Prof. Ohad Birk Profile


Department : Genetic Institute
Shraga Segal Department of Microbiology, Immunology and Genetics
Soroka Medical Center
Room : -126
בנין המכון למחקר ישומי במדעי החיים ע"ש דה 39-פיצ'וטו
Phone : 972-8-6477412
Email :
Office Hours :  
genetics, cancer, bio informatics, bio chemistry, brain


  • MD: Tel-Aviv University PhD: Weizmann Institute of Science Residency in Pediatrics: Sheba Medical Center, Tel Hashomer Clinical Genetics and Post-doctorate: NIH Board ceritified in Pediatrics and in Clinical Genetics

Research Interests

  • Identification and characterization of the molecular basis of human diseases prevalent in inbred conanguineous societies, mainly in the Bedouin population of the Negev.
  • From linkage analysis to carrier testing and prenatal diagnosis – to generation and analysis of mouse models.

Research Topics

  • Identification of the molecular basis of monogenic human diseases
  • Molecular mechanisms of neurodegenerative diseases and of eye diseases
  • Neural tube defects: from genes to molecular mechanisms male vs. female brain: molecular studies

Major expertise and techniques in the lab

  • Human genetics – clinical phenotyping
  • Whole exome sequencing analysis, linkage analysis
  • Bioinformatics: generation of our own tools (S2G, PLINKe) as well as using many existing tools.
  • Gene silencing in vitro (cell lines) and generation and analysis of mutant mice v.Biochemistry, molecular biology (protein, RNA, protein

Publications and funding summary / representative publications and grants

  • Publications:
  • Publications: in Nature, Nature Genetics, Am J Hum Genet, PNAS.
  • Funding sources: Kahn Foundation, ISF, BSF, Legacy Heritage ( Morasha ), CF Foundation, Wolfson Foundation

Existing collaborations

  • Many, of many clinical disciplines. Biochemistry – depending on project.

Suggested multi-disciplinary research project / research focus topics

  • Bioinformatics studies merging with ours.

Looking for expertise / project

  • New interesting familial monogenic phenotypes.
  • Bioinformatics collaborations

Additional links