Daniel Quiat

The paper develops a machine-learning model to predict how structural variants disrupt 3D chromatin structure in congenital heart disease and validates its predictions using induced pluripotent stem cells.

This study uses rare variant linkage analysis and long-read sequencing to identify a pathogenic FSHD1 allele in a family, mapping the disease locus to chromosome 4q35.2.