Posts Tagged 'schizophrenia'

Major mental illnesses unexpectedly share brain gene activity, raising hope for better diagnostics and therapies

Mental illness affects one in six U.S. adults, but scientists’ sense of the underlying biology of most psychiatric disorders remains nebulous. That’s frustrating for physicians treating the diseases, who must also make diagnoses based on symptoms that may only appear sporadically. No laboratory blood test or brain scan can yet distinguish whether someone has depression or bipolar disorder, for example.

Now, however, a large-scale analysis of postmortem brains is revealing distinctive molecular traces in people with mental illness. This week, an ... Continue Reading →


Featured Faculty: B. Todd Webb, Ph.D.

Dr. B. Todd Webb, Ph.D. is an Assistant Professor at the Virginia Institute for Psychiatric and Behavioral Genetics at Virginia Commonwealth University. His interest in behavioral genetics developed gradually over his academic career. He majored in biology at VCU but always had an interest in genetics. Over time, he became passionate about how complex systems work and later obtained his Ph.D. in human genetics. This allowed him to hone his skills while providing him opportunities to ... Continue Reading →


Featured Postdoc: Jeffry Alexander, Ph.D.

Jeffry Alexander, Ph.D. is a post-doctoral fellow at the Virginia Institute for Psychiatric and Behavioral Genetics. His interests in psychiatric genetics developed in an indirect fashion. After practicing as a veterinarian for seven years, he decided a change was in order and began looking for a career with more of a public health impact. Therefore, he pursued a master’s degree in public health (MPH) at VCU.

While completing his master’s degree, he worked in Dr. Brien Riley’s lab on ... Continue Reading →


Methodological Development And Statistical Genetics

Dr. Silviu-Alin Bacanu, Ph.D. is an Associate Professor in the Department of Psychiatry. His interests in psychiatric genetics began while he was completing his PhD in statistics from the University of Pittsburgh. Upon graduating, he pursued these interests by working in psychiatric genetics research at the University of Pittsburgh Medical Center for several years, where he worked with on a variety of phenotypes, including schizophrenia, eating disorders, and Alzheimer’s disease. Subsequently, he obtained a ... Continue Reading →


Featured Postdoc: Anna Docherty, Ph.D.

Anna Docherty, Ph.D. recently completed her postdoc training at the Virginia Institute for Psychiatric and Behavioral Genetics. In two years at VIPBG, she secured an NIMH K01 and NARSAD Young Investigator Award to study the molecular genetics of schizophrenia and schizotypy, and published several papers using both biometrical and molecular genetics approaches. She just began a tenure-track professorship in Psychiatry and Human Genetics at the University of Utah, and her work dovetails extremely well ... Continue Reading →


Whole Genome Sequencing In Multiplex Families

Brien Riley, Ph.D. is Associate Professor in the Department of Psychiatry. He is a molecular geneticist interested in identifying genes that contribute to variation in the brain, central nervous system function, and psychiatric illness risk and behavior. These interests developed after he completed his bachelor’s degree in psychology, as a result of his dissatisfaction with the field’s way of approaching brain function and dysfunction. He was frustrated “because the field of psychology did not, ... Continue Reading →


VCU, Swedish study finds schizophrenia risk better predicted by deviation in intelligence from family

he degree to which an individual deviates in intelligence from their family is a more accurate predictor of schizophrenia development than the individual’s intelligence alone, according to a new study conducted by researchers at Virginia Commonwealth University and Lund University in Sweden.

The study confronts the conventional wisdom that low intelligence alone is a sufficient risk factor for schizophrenia development, going further to say that the risk for schizophrenia development is more accurately indexed by the degree to which an ... Continue Reading →

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