Eric Gamazon

Predicting gene expression may speed discovery: study

Researchers at Vanderbilt University Medical Center and the University of Cambridge have developed a method of or predicting gene expression in hard-to-access tissues like the brain from more accessible tissues, including whole blood.

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.

Study links genetic variants, protein expression and human diseases

An international research team has developed a new resource that connects genetic variants and protein expression, which is expected to speed the identification of genes that cause disease — and point to novel treatment strategies.

Genetics of hydrocephalus

Fluid build-up in the brain — hydrocephalus — increases pressure and risk for brain damage; Vanderbilt researchers have now identified genes and signaling pathways associated with the condition.

New tool to probe genetic mechanisms of disease

Vanderbilt Genetics Institute investigators have added a new method to the computational genetics toolbox. Their approach, described in the journal Nature Genetics, integrates vast genomics datasets to predict gene expression and facilitate discovery of genetic mechanisms underlying human diseases.

Award supports integration of genomic data, electronic health records

Eric Gamazon, PhD, assistant professor of Medicine, has been awarded a $1.5 million grant from the National Human Genome Research Institute, part of the National Institutes of Health (NIH), to develop novel computational tools that integrate functional genomic data and electronic health records.