Evidence map›Paper›PMID 40796583›Full record

ArticleScientific data2025

Phased genome assemblies and pangenome graphs of human populations of Japan and Saudi Arabia.

Maxat Kulmanov, Saeideh Ashouri, Yang Liu, Marwa Abdelhakim, Ebtehal Alsolme, Masao Nagasaki, Yasuyuki Ohkawa, Yutaka Suzuki, Rund Tawfiq, Katsushi Tokunaga and 4 more

Abstract readDataset
In one paragraph

Article in Scientific data, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors.

Maxat Kulmanov *Computer, Electrical and Mathematical Sciences & Engineering (CEMSE) Division, King Abdullah University of Science and Technology, 4700 KAUST, Thuwal, Saudi Arabia.ORCID 0000-0003-1710-1820
Saeideh Ashouri *Genome Medical Science Project, National Institute of Global Health and Medicine, Japan Institute for Health Security, Tokyo, 162-8655, Japan.ORCID 0000-0002-5021-5144
Yang LiuKAUST Center of Excellence for Smart Health (KCSH), King Abdullah University of Science and Technology, 4700 KAUST, Thuwal, Saudi Arabia.
Marwa AbdelhakimComputer, Electrical and Mathematical Sciences & Engineering (CEMSE) Division, King Abdullah University of Science and Technology, 4700 KAUST, Thuwal, Saudi Arabia.ORCID 0000-0001-6816-2119
Ebtehal AlsolmeGenomics and Precision Medicine Department, King Fahad Medical City, Riyadh, Saudi Arabia.
Masao NagasakiDivision of Biomedical Information Analysis, Medical Research Center for High Depth Omics, Medical Institute of Bioregulation, Kyushu University, Fukuoka, 812-0054, Japan.
Yasuyuki OhkawaDivision of Transcriptomics, Medical Institute of Bioregulation, Kyushu University, Fukuoka, 812-0054, Japan.ORCID 0000-0001-6440-9954
Yutaka SuzukiDepartment of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, Chiba, 277-8561, Japan.
Rund TawfiqKAUST Center of Excellence for Smart Health (KCSH), King Abdullah University of Science and Technology, 4700 KAUST, Thuwal, Saudi Arabia.
Katsushi TokunagaGenome Medical Science Project, National Institute of Global Health and Medicine, Japan Institute for Health Security, Tokyo, 162-8655, Japan.ORCID 0000-0001-5501-0503
Toshiaki KatayamaDatabase Center for Life Science, Joint Support-Center for Data Science Research, Research Organization of Information and Systems, Chiba, 277-0871, Japan.
Malak S AbedalthagafiDepartment of Pathology and Laboratory Medicine, Tufts Medical Center and Tufts University School of Medicine, Boston, MA, 02111, USA. Malak.Althgafi@tuftsmedicalcenter.org.ORCID 0000-0003-1786-3366
Robert HoehndorfComputer, Electrical and Mathematical Sciences & Engineering (CEMSE) Division, King Abdullah University of Science and Technology, 4700 KAUST, Thuwal, Saudi Arabia. Robert.Hoehndorf@kaust.edu.sa.ORCID 0000-0001-8149-5890
Yosuke KawaiGenome Medical Science Project, National Institute of Global Health and Medicine, Japan Institute for Health Security, Tokyo, 162-8655, Japan. kawai.y@jihs.go.jp.ORCID 0000-0003-0666-1224

Funding

Japan Agency for Medical Research and Development (AMED) JP21wm0425009Japan Agency for Medical Research and Development (AMED) JP22fk0210111Japan Agency for Medical Research and Development (AMED) JP22tm0424222Japan Agency for Medical Research and Development (AMED) JP23ek0109672Japan Agency for Medical Research and Development (AMED) JP23ek0109675Japan Agency for Medical Research and Development (AMED) JP23ek0210194Japan Agency for Medical Research and Development (AMED) JP23fk0210138Japan Agency for Medical Research and Development (AMED) JP24gm2010001King Abdullah University of Science and Technology (KAUST) 5932King Abdullah University of Science and Technology (KAUST) REI/1/5659-01-01MEXT | Japan Society for the Promotion of Science (JSPS) JP21H02681MEXT | JST | National Bioscience Database Center (NBDC) JPMJND2302Ministry of Education, Culture, Sports, Science and Technology (MEXT) JP18H05527Ministry of Education, Culture, Sports, Science and Technology (MEXT) JP24H02323
6 · The paper itself

Abstract

The selection of a reference sequence in genome analysis is critical, as it serves as the foundation for all downstream analyses. Recently, the pangenome graph has been proposed as a data model that incorporates haplotypes from multiple individuals. Here we present JaSaPaGe, a pangenome graph reference for Saudi Arabian and Japanese populations, both of which have been significantly underrepresented in previous genomic studies. We constructed JaSaPaGe from high-quality phased diploid assemblies which were made utilizing PacBio high-fidelity long reads, Nanopore long reads, and Hi-C short reads of 9 Saudi and 10 Japanese individuals. Quality evaluation of the pangenome graph by variant calling showed that our pangenome outperformed earlier linear reference genomes (GRCh38 and T2T-CHM13) and showed comparable performance to the pangenome graph provided by the Human Pangenome Reference Consortium (HPRC), with more variants found in Japanese and Saudi samples using their population-specific pangenomes. This pangenome reference will serve as a valuable resource for both the research and clinical communities in Japan and Saudi Arabia.

Indexed as

Genome, HumanGenomicsHaplotypesHumansJapanSaudi Arabia

Identifiers

PMID40796583
PMCPMC12343856

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.