Mining Genes, Data and Human Brains to Assess Mood Disorder Risk

Mining Genes, Data and Human Brains to Assess Mood Disorder Risk

More than 100 years of research on familial bipolar disorder hasn’t revealed much about its specific genetic causes. But all that’s about to change, says psychiatric epidemiologist Peter Zandi, thanks to advances in genome data analysis and sequencing—and access to human brain samples to tease out clues.

Since 2016, Zandi and psychiatry researcher Fernando Goes have partnered with Thomas Hyde, chief medical officer at The Lieber Institute for Brain Development, a Johns Hopkins University School of Medicine affiliate, and colleagues to study brains from people who struggled with mental illness and have passed away. The team aims to identify genetic risk for bipolar and major depressive disorders.

“Our goal,” says Goes, “is to find etiologic clues that will ultimately lead to new, urgently needed, targeted drugs.”

Located on the East Baltimore campus, the Lieber Institute houses the largest collection of donated human brains in the world for the study of psychiatric disorders (see sidebar). Researchers there are also using advanced technology to sequence genetic data and translate new insights into clinical advances.

The Lieber partnership builds on previous work by Goes et al., published in June of 2016 in JAMA Psychiatry. That study looked at eight families with a history of bipolar disorder through several generations, suggesting a significant inherited component. Ultimately, the investigators sequenced the whole genomes of 36 family members with the disease. Examining only the portion of the genome that acts as protein blueprints, they identified 84 rare gene variations that stood out in these family members.

Goes acknowledged that “it will take genetic data from at least several thousand more people with bipolar disorder to confirm that these rare mutations do in fact directly cause the disease.” Now, he and his research team are working on large-scale genetic studies with the Bipolar Sequencing Consortium to gather more data and more collaborators “so we can definitively figure out causes.”

Zandi and Goes continue to use next-generation sequencing technology that allows them to churn through enormous amounts of DNA at a time. They’re mining these data to uncover the role of rare variation—rare instances where the blueprint is faulty—in mood disorders.

As they made progress, says Goes, they were interested in how genes were expressed—turned on and off. Lieber, with its enormous brain collection and multidisciplinary expertise, was the preeminent place to turn. Goes leads a project focused on key brain regions likely to be involved in depression, and Zandi heads up a comparable project in bipolar disorder. Both studies look at how potential mood genes are regulated and how their functioning is altered.

“We really want to explain the specific mechanisms by which the genetic variants that have already been defined behave and how they contribute to risk for mood disorder,” says Zandi. “It’s not just one variant in a gene; there are lots of variants across many genes that increase risk,” he says. “This collaboration will give us clues to those mechanisms.”

Zandi and his colleagues are hopeful that having complete information about the DNA from each brain sample will offer deeper insight into how proteins are produced. “This could set the stage for developing new treatments that might influence those proteins and might include being able to turn those key genes on and off,” says Zandi.

Despite a wide variety of available medications for mood disorders, their overall effectiveness remains modest, says Goes. “It’s one reason patients go off their medicines. And only a third of treated patients get fully better with them.”

The development of new types of antidepressants, he says, “has been hindered by our limited understanding of how exactly they work in a given patient.” Zandi and Goes envision a day when discoveries based on a person’s risk for mood disorder will lead to treatments as targeted as immunotherapies are becoming for patients with cancer.

“Within the next several years, we expect to find very specific mechanisms. It’s still tip-of- the-iceberg, but through this work, we will help lay the foundation for more rationally designed interventions.”

For now, the collaboration with Lieber, says Goes, is a vitally important step. “We hope it will be a game changer in preventing risk for developing mood disorders, which too often lead to suicide.”