A Draft Pacific Ancestry Pangenome Reference
Littlefield, C. C.; Lazaro-Guevara, J. M.; Stucki, D.; Lansford, M.; Pezzolesi, M. H.; Taylor, E. J.; Wolfgramm, E. M. C.; Taloa, J.; Lao, K.; Dumaguit, C. D.; Ridge, P. G.; Tavana, J. P.; Holland, W. L.; Raphael, K. L.; Pezzolesi, M. G.
Show abstract
Individuals of Pacific ancestry suffer some of the highest rates of health disparities yet remain vastly underrepresented in genomic research, including currently available linear and pangenome references. To begin addressing this, we developed the first Pacific ancestry pangenome reference using 23 individuals with diverse Pacific ancestry. We assembled 46 haploid genomes from these 23 individuals, resulting in highly accurate and contiguous genome assemblies with an average quality value of 55.0 and an average N50 of 40.7 Mb, marking the first de novo assembly of highly accurate Pacific ancestry genomes. We combined these assemblies to create a pangenome reference, which added 30.6 Mb of novel sequence missing from the Human Pangenome Reference Consortium (HPRC) reference. Mapping short reads to this pangenome reduced variant call errors and yielded more true-positive variants compared to the HPRC and T2T-CHM13 references. This Pacific ancestry pangenome reference serves as a resource to enhance genetic analyses for this underserved population.
Matching journals
The top 5 journals account for 50% of the predicted probability mass.
Similar papers in this journal
Similar papers in this journal
- Genotyping sequence-resolved copy number variationusing pangenomes reveals paralog-specific global diversityand expression divergence of duplicated genes 95%
- Long read sequencing of 3,622 Icelanders provides insight into the role of structural variants in human diseases and other traits 95%
- Inferring compound heterozygosity from large-scale exome sequencing data 95%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.