Nathan R. Blue

The paper identifies genetic variants associated with placental abnormalities in stillbirths by analyzing exome sequencing data from placental and fetal samples.

This study uses AI to show that genome sequencing can predict adverse outcomes after congenital heart defect surgery by identifying damaging genotypes in specific genes.

The paper introduces a framework for detecting noncoding rare variant associations using whole-genome sequencing data, applying it to lipid traits in the TOPMed program.

This paper estimates offspring genetic risk scores from parental DNA and finds that they can be accurately estimated with percent errors below 10% for most traits.