Accessing medically relevant complex regions with a pangenome graph of 20 near-complete Japanese haplotypes

Pangenome projects have enhanced our understanding of human genomic and genetic diversity, but repetitive regions are still challenging to assemble and yet medically important. Here we generate 20 near-complete haplotypes from 10 Japanese male individuals using three complementary long-read and long-range datasets and construct a pangenome graph from these haplotype-resolved assemblies. All haplotypes achieve an N50 value exceeding 100 Mbp for gapless contigs. We substantially improve the average reconstruction rate of complete haplotypes from 46.8% and 52.8% in two previous pangenome graphs to 91.2% within 30 segmentally duplicated complex regions. Furthermore, we identify complete minor haplotypes in the KIR and SMN regions that are absent in those previous pangenome graphs. We find putatively biased gene conversion events occurring in only one direction around the SMN and beta-defensin (DEFB) genes, implying non-random evolution in these regions. Our study contributes to the growing body of pangenomic data, offering a more refined view of human genomic diversity involving complex segmental duplications.

Authors

Institutions

Publication Details

Journal
Nature Communications
Published
2026-05-27
DOI
https://doi.org/10.1038/s41467-026-73461-x
Primary Topic
Genetic Associations and Epidemiology
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Accessing medically relevant complex regions with a pangenome graph of 20 near-complete Japanese haplotypes

Haruka Kobayashi, Ryo Nakabayashi, Chie Owa, Shinichi Morishita et al.
Nature Communications
Genetic Associations and Epidemiology
article

Accessing medically relevant complex regions with a pangenome graph of 20 near-complete Japanese haplotypes

Haruka Kobayashi, Ryo Nakabayashi, Chie Owa, Shinichi Morishita, Brandy McNulty, Yoshihiko Suzuki, Benedict Paten, Karen H. Miga, Ivo Violich
article en

Abstract

Pangenome projects have enhanced our understanding of human genomic and genetic diversity, but repetitive regions are still challenging to assemble and yet medically important. Here we generate 20 near-complete haplotypes from 10 Japanese male individuals using three complementary long-read and long-range datasets and construct a pangenome graph from these haplotype-resolved assemblies. All haplotypes achieve an N50 value exceeding 100 Mbp for gapless contigs. We substantially improve the average reconstruction rate of complete haplotypes from 46.8% and 52.8% in two previous pangenome graphs to 91.2% within 30 segmentally duplicated complex regions. Furthermore, we identify complete minor haplotypes in the KIR and SMN regions that are absent in those previous pangenome graphs. We find putatively biased gene conversion events occurring in only one direction around the SMN and beta-defensin (DEFB) genes, implying non-random evolution in these regions. Our study contributes to the growing body of pangenomic data, offering a more refined view of human genomic diversity involving complex segmental duplications.

Nature CommunicationsVol. 17(1)
Chiba University (JP), University of California, Santa Cruz (US), Research Organization of Information and Systems (JP), The University of Tokyo (JP)
Japan Agency for Medical Research and Development, University of Tokyo, National Institutes of Health, High Performance Research Computing, Texas A and M University, Japan Society for the Promotion of Science, National Human Genome Research Institute
Openalex Percentile: Top 7%
Genetic Associations and Epidemiology
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.