Pangenome-based human genome analysis improves trait association and genomic prediction
A graph-based method for associating sequence variation with traits using short-read genome sequencing data, and shows that it captures complex forms of genetic variation missed by other methods, suggest that integration of pangenomic methods into human genetic studies will improve trait association and genomic prediction at a meaningful subset of genes.