Valerie N. Morrill

The paper uses machine learning to analyze myocardial T1 time in UK Biobank data, identifying genetic loci and pathways associated with interstitial fibrosis and related cardiovascular diseases.

The paper shows adjusting for common variant polygenic scores improves rare variant association yield in 65 UK Biobank traits without increasing false positives.

The paper shows that variant effect sizes on quantitative endophenotypes support pathogenicity in monogenic disease genes.

This study investigates how rare and common genetic variations contribute to QT interval duration, finding that both monogenic and polygenic factors influence QTc prolongation, with polygenic risk modulating the effect of rare variants.

The paper identifies 51 known and 23 novel gene-disease associations using exome sequencing data from 200,000 UK Biobank participants, highlighting high-impact rare variants for 26 diseases and traits.