Anil Goud Jegga, DVM, MRes

Associate Professor, UC Department of Pediatrics

Phone 513-636-0261

Fax 513-636-2056


Anil Jegga, DVM, MRes, is a biological and medically-oriented computational biologist. He has led bioinformatics analysis and database development initiatives and played a critical role in a variety of successful projects and consortia focusing on genetic and genomic biology of developmental systems, human disease and mouse disease models. His work focuses on the elucidation of gene regulatory networks and the interaction between genotype and phenotype using a variety of bioinformatics approaches. He has extensive experience in transcription factor and micro-RNA based gene regulatory mechanisms, gene polymorphism functional analysis, candidate disease gene identification and prioritization. To aid in the diffusion of genomics into biomedical research and education, Dr. Jegga works with Bruce Aronow, PhD, and their research lab has developed several approaches that integrate bioinformatics with clinical informatics. His current interests include elucidating the p53 tumor suppressor network. In collaboration with scientists at National Institute of Environmental Health Sciences, Dr. Jegga is exploring the evolution of p53 targets and recently reported the unexpected finding that rodents lack some of the evolution-based safeguards in p53 function as humans. Collaborating with researchers from National Institute for Cancer Research, Italy, he is exploring the microRNA-based regulatory mechanisms of the p53 master regulatory network and impact of sequence variations on it.

Master of Research: University of York, England, UK.

Master of Veterinary Science: College of Veterinary Science, Hyderabad, India.

Bachelor of Veterinary Science & Animal Husbandry: College of Veterinary Science, Hyderabad, India.

View PubMed Publications

Rankin SA, Kormish J, Kofron M, Jegga A, Zorn AM. A gene regulatory network controlling hhex transcription in the anterior endoderm of the organizer. Dev Biol. 2011 Jan 4.

Kaimal V, Sardana D, Bardes EE, Gudivada RC, Chen J, Jegga AG. Integrative systems biology approaches to identify and prioritize disease and drug candidate genes. Methods Mol Biol. 2011;700:241-59.

Zhang X, Wang X, Zhu H, Zhu C, Wang Y, Pu WT, Jegga AG, Fan GC. Synergistic effects of the GATA-4-mediated miR-144/451 cluster in protection against simulated ischemia/reperfusion-induced cardiomyocyte death. J Mol Cell Cardiol. 2010 Nov;49(5):841-50.

Maldonado AR, Klanke C, Jegga AG, Aronow BJ, Mahller YY, Cripe TP, Crombleholme TM. Molecular engineering and validation of an oncolytic herpes simplex virus type 1 transcriptionally targeted to midkine-positive tumors. J Gene Med. 2010 Jul;12(7):613-23.

Sardana D, Vasa S, Vepachedu N, Chen J, Gudivada RC, Aronow BJ, Jegga AG. PhenoHM: human-mouse comparative phenome-genome server. Nucleic Acids Res. 2010 Jul;38(Web Server issue):W165-74.

Kaimal V, Bardes EE, Tabar SC, Jegga AG, Aronow BJ. ToppCluster: a multiple gene list feature analyzer for comparative enrichment clustering and network-based dissection of biological systems. Nucleic Acids Res. 2010 Jul;38(Web Server issue):W96-102.

Moyer K, Kaimal V, Pacheco C, Mourya R, Xu H, Shivakumar P, Chakraborty R, Rao M, Magee JC, Bove K, Aronow BJ, Jegga AG, Bezerra JA. Staging of biliary atresia at diagnosis by molecular profiling of the liver. Genome Med. 2010 May 13;2(5):33.

Miller SJ, Jessen WJ, Mehta T, Hardiman A, Sites E, Kaiser S, Jegga AG, Li H, Upadhyaya M, Giovannini M, Muir D, Wallace MR, Lopez E, Serra E, Nielsen GP, Lazaro C, Stemmer-Rachamimov A, Page G, Aronow BJ, Ratner N. Integrative genomic analyses of neurofibromatosis tumours identify SOX9 as a biomarker and survival gene. EMBO Mol Med. 2009 Jul;1(4):236-48.

Gowrisankar S, Jegga AG. Regression based predictor for p53 transactivation. BMC Bioinformatics. 2009 Jul 14;10:215.

Chen J, Bardes EE, Aronow BJ, Jegga AG. ToppGene Suite for gene list enrichment analysis and candidate gene prioritization. Nucleic Acids Res. 2009 Jul 1;37(Web Server issue):W305-11.