![]() | Assistant Professor Main Office Address Meyer 4-119D Phone: 410-955-2572 E-mail: mpirooz1@jhmi.edu |
Education
2001 | M.D. | Beheshti Medical Sciences University |
2004 | M.S. in Bioinformatics | Exeter University, UK |
| 2008 | Ph.D. in Bioinformatics | University of Southern Mississippi |
2010 | Postdoctoral Fellow | Johns Hopkins University School of Medicine |
| 2011 | Alexander Wilson Schweizer Fellow in Mood Disorders and Genetics | Johns Hopkins University School of Medicine |
Professional Interests
My research focus is on analysis and biological interpretation of high-throughput sequencing data and other high-dimensional biological datasets. Specifically, I am interested in the genetics of mood disorders such as bipolar disorders and major depression.
Mood disorder analytical wiki site: http://psychiatry.igm.jhmi.edu/wiki/
Selected Publications
Zhang K, Pirooznia M, et al. Genomic signatures and gene networking: challenges and promises. BMC Genomics. 2011 Dec 23;12 Suppl 5:I1. PMID: 22369358
Pirooznia M, Wang T, Avramopoulos D, Valle D, Thomas G, Huganir RL, Goes FS, Potash JB and Zandi PP. SynaptomeDB: an ontology-based knowledgebase for synaptic genes, Bioinformatics 2012 : bts040v1-bts040.
Pirooznia M, Seifuddin F, Judy J, Mahon PB, Potash JB, Zandi PP; The Bipolar Genome Study (BiGS) Consortium;. Data mining approaches for genome-wide association of mood disorders. Psychiatr Genet. 2011 Nov 11. PubMed PMID: 22081063.
Belmonte Mahon P, Pirooznia M, Goes FS, et al. Genome-wide association analysis of age at onset and psychotic symptoms in bipolar disorder. Am J Med Genet B Neuropsychiatr Genet. 2011 Apr;156B(3):370-8. doi: 10.1002/ajmg.b.31172.








