Biography
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Kristopher Irizarry,
PhD
Assistant Professor, Bioinformatics, Genetics, Genomics
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Biographical Information
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2006 - present, Assistant Professor, College of Veterinary Medicine, Western University of Health Sciences - Pomona CA
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2003-2005, Postdoctoral Fellow Neuropsychiatric Institute, UCLA - Los Angeles CA
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2003 Ph.D., Biochemistry & Molecular Biology, UCLA - Los Angeles CA
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1996 B.S., Biochemistry & Biophysics, Rensselaer Polytechnic Institute - Troy, NY
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Professional Interests
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Professionally Dr. Irizarry is interested in contributing to the development and use of genomic based diagnostic tools in veterinary medicine. This is of great importance because many animal diseases exhibit breed specific associations. Through the development of effective genetic diagnostics coupled with specific breeding strategies the prevalence of these phenotypes can be reduced in predisposed breeds. The results of improved breeding can have a tremendous impact on both the quality of life for the animals as well as the veterinary costs incurred by the owners.
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Research Interests
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Bioinformatics is a field of computational research that has
emerged to manage the flood of biological information resulting from
genome sequencing projects. Although genomic sequencing data has been
collected and assembled for a number of different organisms, the interpretation
of these molecular instructions for life's blueprint remains a challenge
and is a central focus of research in the post-genomics era.
Genomes encode both the structural
building blocks of life as well as their spatial and temporal distribution
patterns. Genetic variations may alter only the structural integrity
of life's building blocks, just the distribution of building blocks,
both or neither of these properties. Therefore deciphering which regions
of the genome encode what molecular properties of cells, tissues and
organs is of great importance in understanding normal and disease processes
in animals and humans.
Some biological properties are the
result of only one gene residing within a single region of the genome,
while other properties are under the control of hundreds of different
genes, each of which has a unique location within the genome. Genetic
traits controlled by a single gene, called Mendelian traits, have been
well studied and many of the genes controlling these traits have been
identified. Complex traits on the other hand, present a significant
challenge to investigators due to the difficulty in identifying all
of the genes involved and the complexity in separating out the individual
contribution each gene contributes to the trait.
Because living organisms share key
features and properties with one another, comparative genomics –the
field of comparing genomes from different organisms to identify evolutionarily
conserved regions- has become a powerful approach to identify functionally
important genomic regions involved in complex traits. The completion
of multiple mammalian genomes has contributed to a situation where it
is now possible to explore the genetic basis of hereditary traits, also
called phenotypes, such as hair color, behavior, disease susceptibility
and adverse drug effects in both animals and humans using bioinformatics
and comparative genomics approaches.
Such research employs bioinformatics
methods to develop databases, algorithms and approaches for identifying
genomic regions underlying complex phenotypes. Once genomic regions
that are likely to be involved in the encoding of specific phenotypes
are identified, subsequent effort is made to investigate how particular
genetic variations within these genomic regions alter the phenotypes
of interest.
Specifically Dr. Irizarry focuses
on integrating the cumulative effects of multiple genetic variations
called single nucleotide polymorphisms onto the functional circuits
encoded by the genome. These functional circuits, or signal transduction
pathways, provide a template for assessing the phenotypic effects
of genetic variation on cellular, tissue, organ and ultimately organism
function. Because genomic data is very large and complex, his
research employs high-throughput data mining techniques and parallel
computing architectures to address genome-wide questions aimed at elucidating
the genetic basis of disease susceptibility and progression.
Dr. Irizarry's research interests can be classified into a number of
different themes which all lie at the intersection of bioinformatics,
genomics, evolution, signal transduction and protein function:
(1) evolutionary models for use in reducing genomic complexity;
(2) algorithms and approaches for mapping phenotypes onto genotypes;
(3) single nucleotide polymorphisms across signal transduction pathways
(4) high through-put data mining methods in comparative genomics
(5) enhancing information exchange at the human / computer interface
(6) parallel computing architectures for accelerated biological discovery
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Teaching Philosophy
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Dr. Irizarry truly enjoys teaching and values the time he spends with each and every student. He believes strongly in the notion of student-centered learning, and is a life long student himself. Because he has pursued a multidisciplinary education in science, he views learning more as an art than as an end goal of the educational experience. Especially since the more he has learned, the more he realized how much he doesn't know! Accordingly, he views the role of teacher much like that of a guide who can accompany students on their journey to develop a personalized 'art of learning'. Throughout this journey, Dr. Irizarry places an important emphasis on searching for and identifying relevant resources. As a professor of bioinformatics he believes it is more valuable to be able to quickly locate an appropriate resource rather than recall a loosely related fact. As a professor in the College of Veterinary Medicine he provides content expertise in the areas of genetics, protein structure and function, cellular signaling, neuronal function, neuropsychopharmacology, pharmacogenomics as well as bioinformatics and genomics.
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Publications
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1.) Irizarry KJ, Licinio J. "An explanation for the placebo effect?" Science. 2005 Mar 4;307(5714):1411-2.
2.) Irizarry KJ, Merriman B, Bahamonde ME, Wong ML, Licinio J.
"The evolution of signaling complexity suggests a mechanism for reducing the genomic search space in human association studies." Mol Psychiatry. 2005 Jan;10(1):14-26.
3.) Licinio J, O'Kirwan F, Irizarry K, Merriman B, Thakur S, Jepson R, Lake S, Tantisira KG, Weiss ST, Wong ML. "Association of a corticotropin-releasing hormone receptor 1 haplotype and antidepressant treatment response in Mexican-Americans." Mol Psychiatry. 2004 Dec;9(12):1075-82.
4.) Irizarry KJ, Galbraith SJ. "Complex disorders reloaded: causality, action, reaction, cause and effect." Mol Psychiatry. 2004 May;9(5):431-2, 430.
5.) Wong ML, O'Kirwan F, Hannestad JP, Irizarry KJ, Elashoff D, Licinio J. "St. John's wort and imipramine-induced gene expression profiles identify cellular functions relevant to antidepressant action and novel pharmacogenetic candidates for the phenotype of antidepressant treatment response." Mol Psychiatry. 2004 Mar;9(3):237-51.
6.) Lee CJ, Irizarry K. "Alternative splicing in the nervous system: an emerging source of diversity and regulation." Biol Psychiatry. 2003 Oct 15;54(8):771-6.
7.) C. Lee and K. Irizarry "The GeneMine system for genome/proteome annotation and collaborative data mining" IBM Systems Journal. 2001 40(2):592-603.
8.) Irizarry K, Hu G, Wong ML, Licinio J, Lee CJ. "Single nucleotide polymorphism identification in candidate gene systems of obesity." Pharmacogenomics J. 2001;1(3):193-203.
9.) Irizarry K, Kustanovich V, Li C, Brown N, Nelson S, Wong W, Lee CJ.
"Genome-wide analysis of single-nucleotide polymorphisms in human expressed sequences." Nat Genet. 2000 Oct;26(2):233-6.
10.) Salerno JC, Harris DE, Irizarry K, Patel B, Morales AJ, Smith SM, Martasek
P, Roman LJ, Masters BS, Jones CL, Weissman BA, Lane P, Liu Q, Gross SS. "An autoinhibitory control element defines calcium-regulated isoforms of nitric
oxide synthase." J Biol Chem. 1997 Nov 21;272(47):29769-77.
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Contact Information
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Office:
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309 East Second Street, Pomona, CA 91766 |
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Phone:
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909.469.5430 |
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Fax:
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909.469.5635 |
| E-mail: |
kirizarry@westernu.edu |
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