{"id":14472,"date":"2024-10-23T08:41:30","date_gmt":"2024-10-23T12:41:30","guid":{"rendered":"https:\/\/www.med.unc.edu\/genetics\/?p=14472"},"modified":"2024-10-23T08:44:21","modified_gmt":"2024-10-23T12:44:21","slug":"researchers-help-decode-risk-for-psychiatric-disorders","status":"publish","type":"post","link":"https:\/\/www.med.unc.edu\/genetics\/researchers-help-decode-risk-for-psychiatric-disorders\/","title":{"rendered":"Researchers help decode risk for psychiatric disorders"},"content":{"rendered":"

Jason Stein\u2019s lab in the UNC School of Medicine created a model to identify genetic variants linked to mental illness.<\/p>\n

By Kendall Daniels, UNC School of Medicine ,<\/span>\u00a0Monday, October 21st, 2024<\/div>\n
<\/div>\n
\n

For many years, scientists have known that genetic variants, or differences in DNA code across people, play some role in neurological and psychiatric disorders. But the details were murky. Now researchers at the UNC School of Medicine are using a combination of cell lines and DNA sequencing approaches to look closely at genomes and identify which genetic variants and genes play roles in influencing the risk for neurological and psychiatric disorders.<\/p>\n

A research team led by\u202fJason Stein<\/a>, Associate Professor of Genetics and member of the\u202fUNC Neuroscience Center<\/a>, has used a live-cell model system of the human brain to identify the function of genetic variants important for increasing the risk of developing schizophrenia, autism spectrum disorder and bipolar disorder. The results\u202fwere\u00a0published\u202fin\u202fNature Neuroscience<\/a>.<\/p>\n

\u201cThere are hundreds of different locations on our genome that are associated with psychiatric disorders,\u201d said Stein, who is also a member of\u202fUNC Lineberger Comprehensive Cancer Center<\/a>. \u201cBut these locations are in regions of the genome where the function is not well understood. We supposed that some genetic variants function only when stimulated by certain neural pathways important for brain development.\u201d<\/p>\n

\n
\"Jason
Jason Stein, Associate Professor of Genetics & UNC Neuroscience Center<\/figcaption><\/figure>\n

\n<\/div>\n

Out of our entire genome, just 3% is responsible for creating codes that lead to the formation of proteins \u2014 the \u201cmachines\u201d that perform needed tasks in our bodies. The other 97% of the genome does not code for proteins. It is in these \u201cnoncoding\u201d regions where most genetic variants implicated in psychiatric illness can be found.<\/p>\n

Noncoding variants are expected to be similar to light switches. They can \u201cturn on\u201d and \u201cturn off\u201d genes that code for proteins. But finding the precise function of these noncoding genetic variants has proven difficult for researchers because the downstream effects of these genetic variants can only be observed when brain cells are alive and responding to stimulation.<\/p>\n

The Stein lab decided to study the function of these genetic variants in cells involved in brain development. Every cell line has a different genetic background, which allows researchers to compare and contrast genetic variants in both active and inactive states. Stein\u2019s lab members exposed the stem cells to different chemical compounds and controls to measure the differences in response.<\/p>\n

These compounds stimulate a cascade of proteins that play important roles in brain development. Using the living model, researchers found thousands of noncoding genetic variants that are implicated in schizophrenia risk.<\/p>\n

\u201cFinding these genetic variants represents an important step forward in our understanding of the mechanisms that cause someone to be at greater risk of developing a neuropsychiatric disorder,\u201d Stein said.<\/p>\n

Stein said that a similar study design using this live-cell model system of the human brain could be helpful for testing how genetic variation influences risk for environmental exposures, like lead exposure, and their impacts on the brain. Similarly, future applications of this approach could be used to\u202fprescribe psychiatric treatments based on an individual\u2019s genetics.<\/p>\n

Co-first authors on the study were research associate Nana Matoba, post-doctoral fellow Brandon D. Le and graduate student Jordan M. Valone.<\/p>\n

This article originally appeared in the UNC.edu Newsroom<\/a>.<\/p>\n<\/div>\n","protected":false},"excerpt":{"rendered":"

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