NHGRI

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.

COVID on Twitter: town vs. country

A natural language processing analysis of 407 million tweets from May 2020 to January 2022 captures the rural-urban divide regarding COVID-19.

Inflammation implicated in exfoliation syndrome

Computational genetics tools have implicated inflammatory pathways in exfoliation syndrome, the most common cause of secondary glaucoma, which can result in blindness.

Researchers develop framework for multiancestry genomic studies

Vanderbilt researchers have developed a framework for the analysis of multiancestry, large-scale genomic studies across multiple biobanks.

PheWAS reveals post-COVID-19 diagnoses

Using a high-throughput informatics technique and electronic health records, Vanderbilt researchers found that COVID-19 survivors had an increased risk for more than 40 new diagnoses.

1 2 3