Evidence map›Paper›PMID 41316730›Full record

ArticleNucleic acids research2026

JoGo 1.0: the ACTG hierarchical nomenclature and database covering 4.7 million haplotypes across 19,194 human genes.

Masao Nagasaki, Toshiaki Katayama, Yuki Moriya, Yayoi Sekiya, Shuichi Kawashima, Ryo Teraoka, Shuto Machida, Taichi Matsubara, Hiroki Hashimoto, Akihiro Asakura and 9 more

Abstract read
In one paragraph

Article in Nucleic acids research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

19 authors.

Masao NagasakiMedical Research Center for High Depth Omics, Medical Institute of Bioregulation, Kyushu University, Fukuoka 812-8582, Japan.ORCID 0000-0002-4292-8785
Toshiaki KatayamaDatabase Center for Life Science, Joint Support-Center for Data Science Research, Research Organization of Information and Systems, 178-4-4 Wakashiba, Kashiwa, Chiba 277-0871, Japan.
Yuki MoriyaDatabase Center for Life Science, Joint Support-Center for Data Science Research, Research Organization of Information and Systems, 178-4-4 Wakashiba, Kashiwa, Chiba 277-0871, Japan.
Yayoi SekiyaMedical Research Center for High Depth Omics, Medical Institute of Bioregulation, Kyushu University, Fukuoka 812-8582, Japan.
Shuichi KawashimaDatabase Center for Life Science, Joint Support-Center for Data Science Research, Research Organization of Information and Systems, 178-4-4 Wakashiba, Kashiwa, Chiba 277-0871, Japan.
Ryo TeraokaMedical Research Center for High Depth Omics, Medical Institute of Bioregulation, Kyushu University, Fukuoka 812-8582, Japan.
Shuto MachidaMedical Research Center for High Depth Omics, Medical Institute of Bioregulation, Kyushu University, Fukuoka 812-8582, Japan.
Taichi MatsubaraMedical Research Center for High Depth Omics, Medical Institute of Bioregulation, Kyushu University, Fukuoka 812-8582, Japan.
Hiroki HashimotoMedical Research Center for High Depth Omics, Medical Institute of Bioregulation, Kyushu University, Fukuoka 812-8582, Japan.
Akihiro AsakuraMedical Research Center for High Depth Omics, Medical Institute of Bioregulation, Kyushu University, Fukuoka 812-8582, Japan.
Akio NaganoPENQE Inc., 2-20-11 Kojima, Taito-ku, Tokyo 111-0056, Japan.
Riu YamashitaDivision of Translational Informatics, Exploratory Oncology Research & Clinical Trial Center, National Cancer Center, 6-5-1 Kashiwanoha, Kashiwa, Chiba 277-8577, Japan.
Toyoyuki TakadaIntegrated Bioresource Information Division, RIKEN BioResource Research Center, 3-1-1 Koyadai, Tsukuba, Ibaraki 305-0074, Japan.
Nobutaka MitsuhashiDatabase Center for Life Science, Joint Support-Center for Data Science Research, Research Organization of Information and Systems, 178-4-4 Wakashiba, Kashiwa, Chiba 277-0871, Japan.
Mayumi KamadaDepartment of Data Science, School of Frontier Engineering, Kitasato University, 1-15-1, Kitazato, Minami, Sagamihara, Kanagawa 252-0373, Japan.
Yasuyuki OhkawaMedical Research Center for High Depth Omics, Medical Institute of Bioregulation, Kyushu University, Fukuoka 812-8582, Japan.
Katsushi TokunagaGenome Medical Science Project, National Institute of Global Health and Medicine, Japan Institute for Health and Security, Shinjuku-ku, Tokyo 162-8655, Japan.
Yosuke KawaiGenome Medical Science Project, National Institute of Global Health and Medicine, Japan Institute for Health and Security, Shinjuku-ku, Tokyo 162-8655, Japan.
Variant Information Standardization Collegium

Funding

Japan Agency for Medical Research and Development JP20ek0109485Japan Agency for Medical Research and Development JP20ek0109492Japan Agency for Medical Research and Development JP21ek0109548Japan Agency for Medical Research and Development JP21wm0425009Japan Agency for Medical Research and Development JP22fk0210111Japan Agency for Medical Research and Development JP22tm0424222Japan Agency for Medical Research and Development JP23ek0109672Japan Agency for Medical Research and Development JP23ek0109675Japan Agency for Medical Research and Development JP23ek0210194Japan Agency for Medical Research and Development JP23fk0210138Japan Agency for Medical Research and Development JP24gm2010001Japan Agency for Medical Research and Development JP25fk0310535Japan Agency for Medical Research and Development JP25fk0310536Japan Agency for Medical Research and Development JP25wm0625519JSPSJST JPMJND2302KAKENHI JP21H02681NBDC JPMJND2302
6 · The paper itself

Abstract

The Joint Open Genome and Omics Platform 1.0 (JoGo) is a global, long-read-based human haplotype database covering 19 194 MANE-standardized protein-coding genes. JoGo introduces a novel ACTG hierarchical nomenclature-A (amino acid), C (coding), T (transcript), and G (gene body)-that assigns numeric identifiers in descending order of global frequency. Using high-fidelity long-read sequencing, we assembled haplotype-resolved contigs for 258 globally sampled genomes, including 108 sequenced in-house. We cataloged 174 376 A-, 300 610 C-, 486 288 T-, and 3 695 204 G-level haplotypes (4 656 478 in total). Haplotype IDs are assigned once globally across all sequences, including those originating from GRCh38 and CHM13v2 reference assemblies, embedding reference haplotypes within the same frequency-ranked space and enabling direct cross-assembly comparison. JoGo maps functional variants from ClinVar, GWAS Catalog, and GTEx onto their corresponding ACTG-haplotypes and provides haplotype-expression QTL results from 1280 HapMap RNA-seq samples across three independent studies. The web portal provides flexible search by gene name, variant ID, or ACTG code. It offers both an interactive online viewer and a privacy-preserving local viewer for secure integration with user data. JoGo enables high-resolution exploration of haplotype diversity, facilitating the identification of functional variants relevant to gene regulation, disease associations, and precision medicine. JoGo 1.0 is freely accessible at https://jogo.csml.org.

Indexed as

Databases, GeneticGenome, HumanHaplotypesSoftwareTerminology as TopicGenomicsHumansPolymorphism, Single Nucleotide

Identifiers

PMID41316730
PMCPMC12807767

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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.