Anil Jegga, DVM, MRes
Title
Research Assistant Professor
Appointment
Assistant Professor of Pediatrics, University of Cincinnati College of Medicine
Email
anil.jegga@cchmc.org
Phone
513-636-0261
Fax
513-636-2056
Bio
Anil Jegga, DVM, plays a key role in multiple collaborations at Cincinnati Children's and the University of Cincinnati. His work focuses on the elucidation of gene regulatory networks and the interaction between genotype and phenotype using a variety of bioinformatics approaches. Dr. Jegga is currently involved in application domains that include cardiovascular diseases, digestive disorders, genitourinary disorders and tumorigenesis in response to environmental challenges. To aid in the diffusion of genomics into biomedical research and education, Dr. Jegga works with Bruce Aronow, PhD, and their research lab on several approaches that integrate bioinformatics with clinical informatics. For more information about Dr. Jegga, visit his web site: http://anil.cchmc.org.
Credentials
Master of Research: Bioinformatics, University of York, England, UK
Master of Veterinary Science: Surgery, College of Veterinary Science, Hyderabad, India
Bachelor of Veterinary Science & Animal Husbandry: College of Veterinary Science, Hyderabad, India
Awards and Honors
- Adjudged as outstanding student in the state of Andhra Pradesh, India, in the faculties of Medical, Dental, Agricultural and Veterinary Sciences and awarded Gold Medal.
- Awarded Gold Medal for securing highest OGPA in Surgery (M.V.Sc)
- First rank in Bachelor of Veterinary Science & Animal Husbandry
Research Grants and Contracts
Title: Functional Polymorphisms in P53 Response Elements
Sponsor: Ohio Cancer Research Association
Dates: 07/01/08 - 06/30/10
Title: Murine Atlas of Genitourinary Smooth Cell Muscle Development
Sponsor: National Institutes of Health
Dates: 04/01/09 - 03/31/10
Publications, Most Recent
Qu XA, Gudivada RC, Jegga AG, Neumann EK, Aronow BJ. Inferring novel disease indications for known drugs by semantically linking drug action and disease mechanism relationships. BMC Bioinformatics. 2009 May;10 Suppl 5:S4.
Gu Y, Harley IT, Henderson LB, Aronow BJ, Vietor I, Huber LA, et al. Identification of IFRD1 as a modifier gene for cystic fibrosis lung disease. Nature. 2009 Apr 23;458(7241):1039-42.
Chen J, Aronow BJ, Jegga AG. Disease candidate gene identification and prioritization using protein interaction networks. BMC Bioinformatics. 2009 Feb;10:73.
Brunskill EW, Aronow BJ, Georgas K, Rumballe B, Valerius MT, Aronow J, et al. Atlas of gene expression in the developing kidney at microanatomic resolution. Developmental cell. 2008 Nov;15(5):781-91.
Gudivada RC, Qu XA, Chen J, Jegga AG, Neumann EK, Aronow BJ. Identifying disease-causal genes using Semantic Web-based representation of integrated genomic and phenomic knowledge. J Biomed Inform. 2008 Oct;41(5):717-29.
Takemoto CM, Lee YN, Jegga AG, Zablocki D, Brandal S, Shahlaee A, et al. Mast cell transcriptional networks. Blood Cells Mol Dis. 2008 Jul-Aug;41(1):82-90.
Kamath MB, Houston IB, Janovski AJ, Zhu X, Gowrisankar S, Jegga AG, et al. Dose-dependent repression of T-cell and natural killer cell genes by PU.1 enforces myeloid and B-cell identity. Leukemia. 2008 Jun;22(6):1214-25.
Sinha AU, Kaimal V, Chen J, Jegga AG. Dissecting microregulation of a master regulatory network. BMC Genomics. 2008;9:88.
Jegga AG, Inga A, Menendez D, Aronow BJ, Resnick MA. Functional evolution of the p53 regulatory network through its target response elements. Proceedings of the National Academy of Sciences of the United States of America. 2008 Jan 22;105(3):944-9.
Chen J, Xu H, Aronow BJ, Jegga AG. Improved human disease candidate gene prioritization using mouse phenotype. BMC Bioinformatics. 2007;8:392.
Markey MP, Bergseid J, Bosco EE, Stengel K, Xu H, Mayhew CN, et al. Loss of the retinoblastoma tumor suppressor: differential action on transcriptional programs related to cell cycle control and immune function. Oncogene. 2007 Apr 23.
Diwan A, Koesters AG, Odley AM, Pushkaran S, Baines CP, Spike BT, et al. Unrestrained erythroblast development in Nix-/- mice reveals a mechanism for apoptotic modulation of erythropoiesis. Proceedings of the National Academy of Sciences of the United States of America. 2007 Apr 17;104(16):6794-9.
Jegga AG, Chen J, Gowrisankar S, Deshmukh MA, Gudivada R, Kong S, et al. GenomeTrafac: a whole genome resource for the detection of transcription factor binding site clusters associated with conventional and microRNA encoding genes conserved between mouse and human gene orthologs. Nucleic Acids Res. 2007 Jan;35(Database issue):D116-21.
Liu C, Aronow BJ, Jegga AG, Wang N, Miethke A, Mourya R, et al. Novel resequencing chip customized to diagnose mutations in patients with inherited syndromes of intrahepatic cholestasis. Gastroenterology. 2007 Jan;132(1):119-26.
Jegga AG, Gowrisankar S, Chen J, Aronow BJ. PolyDoms: a whole genome database for the identification of non-synonymous coding SNPs with the potential to impact disease. Nucleic Acids Res. 2007 Jan;35(Database issue):D700-6.
Kaiser S, Park YK, Franklin JL, Halberg RB, Yu M, Jessen WJ, et al. Transcriptional recapitulation and subversion of embryonic colon development by mouse colon tumor models and human colon cancer. Genome Biol. 2007;8(7):R131.
Research Projects
- TraFaC/GenomeTraFaC: companion resources for identifying constitutionally similar and/or conserved cis-element clusters in orthologous and non-orthologous genes.
- CisMols Analyzer: an extension of TraFaC that identifies compositionally similar cis-regulatory element clusters that occur in groups of co-regulated genes.
- ConciseScanner: a web-based tool that enables you to select one or more transcription binding sites and search all genes in the GenomeTrafac database for clusters containing the selected site(s); within each cluster, you can view the exact position of each binding site.
- PolyDoms: a web-based application that maps synonymous and non-synonymous single nucleotide polymorphisms (SNPs) of proteins onto known functional domains.
- Abstrainer: a web-based tool that extracts protein-protein interactions and disease-gene associations from biomedical literature.
- CMGCC (Cincinnati Comparative Mouse Genomics Centers Consortium): a collaborative initiative with the University of Cincinnati to develop transgenic and knockout mouse models based on human DNA sequence variants in environmentally responsive genes
