Division of Genetic Medicine

Study uses statistical and population-based methods to understand comorbidities of developmental language disorder

A recent Vanderbilt study is one of the first to use statistical and population-based methods to understand comorbidities associated with developmental language disorder at a population level.

photo of William Dupont

Study discovers that tumor mutation burden predicts survival outcome

The expected course of a patient’s cancer prognosis has traditionally been judged by its type, stage and microscopic aggressiveness, but patients with the same presentation can still have widely divergent outcomes. Researchers from Vanderbilt-Ingram Cancer Center have discovered that differences in tumor mutation burden are a major reason for this divergence.

Researchers probe the impact of sex and gender on human health

Vanderbilt University Medical Center’s Lea Davis, PhD, and longtime colleagues Ekaterina (Katya) Khramtsova, PhD, and Barbara Stranger, PhD, are among seven authors of a paper published May 11 in the journal Cell that outlines “best practices” for evaluating the impact of both sex and gender on human health.

New view of mutations informs disease risk, treatment response

A transcontinental research effort led by scientists from Vanderbilt University Medical Center and the University of Michigan has upended some long-standing assumptions about mutations — how often they occur, what causes them and what they do.

Neural networks probe proteins

A machine learning method based on neural networks outperformed a mutational scanning model at identifying disease-causing mutations in an Alzheimer’s disease protein, suggesting the method could be useful for facilitating therapeutic design.

Genetics and chronic pain

Polygenic risk scores — scores that reflect the influence of common genetic variants — could be used to predict the likelihood of developing chronic overlapping pain conditions and guide biomarker and targeted prevention efforts.

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