26 People Results for the Tag: Genome Wide Association Study
Dr. Frances Keesler Graham Early Career Professor; Assistant Professor of Veterinary and Biomedical Sciences
Building tools to elucidate the complex genetic and environmental underpinnings of human disease. Integrating genetic (genotype, sequence, structural variation) and exposure (derived from surveys and metabolomics methods) big data to predict disease status.
Associate Professor of Biology
Regulation of neurogenesis using cellular and mouse models; analysis of abnormal neural progenitor cell (NPC) proliferation and its relationship to mental illnesses; identification of drugs that can reverse mouse models of psychiatric disorders.
Associate Professor of Public Health Science
Developing novel methods to analyze very large scale datasets in order to identify genes that are responsible for disease, understand the disease mechanism, and gain clinical insights.
Distinguished Professor of Pathology and Laboratory Medicine, of Biochemistry and Molecular Biology, and of Pharmacology
Computational phenomics, image informatics, and "Geometry of Life" based on x-ray histotomography, population, genomic, and functional genomic analyses of complex traits in human and zebrafish; web-based science resources.
Assistant Professor of Psychiatry and Behavioral Health and of Pharmacology
My laboratory focuses on neuropsychiatric genetics in diverse populations. I am particularly interested in understanding how genetic polymorphisms within key physiological pathways translate into clinical phenotypes of psychiatric disorders, such as bipolar disease and schizophrenia.
Assistant Professor of Biology
Understanding the complex relationship humans have with our microbiomes, using high-throughput sequencing technologies and novel computational and statistical techniques.
Assistant Professor; Huck Early Career Chair of Root Biology and Rhizosphere Interactions
Plant-microbe-climate interactions; the evolution and ecology of legumes and nitrogen-fixing rhizobia; the genomic basis and environment dependence of root, nodule, and mutualism traits; GWAS/transcriptomics/evolve & resequence methodologies