Evidence map›Paper›PMID 41359037›Full record

ArticleNucleic acids research2026

Genome Variation Map: a platform for the analysis and integration of genomic variation.

Xue Bai, Haixia Xie, Hong Luo, Siwei Ren, Bixia Tang, Cuiping Li, Yi Wang, Bo Xu, Zishan Wu, Dongmei Tian and 1 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 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

11 authors.

Xue BaiNational Genomics Data Center, China National Center for Bioinformation, Beijing100101, China.ORCID 0000-0002-0085-5944
Haixia XieNational Genomics Data Center, China National Center for Bioinformation, Beijing100101, China.
Hong LuoNational Genomics Data Center, China National Center for Bioinformation, Beijing100101, China.
Siwei RenNational Genomics Data Center, China National Center for Bioinformation, Beijing100101, China.
Bixia TangNational Genomics Data Center, China National Center for Bioinformation, Beijing100101, China.ORCID 0000-0002-9357-4411
Cuiping LiNational Genomics Data Center, China National Center for Bioinformation, Beijing100101, China.ORCID 0000-0002-7144-7745
Yi WangNational Genomics Data Center, China National Center for Bioinformation, Beijing100101, China.
Bo XuNational Genomics Data Center, China National Center for Bioinformation, Beijing100101, China.
Zishan WuNational Genomics Data Center, China National Center for Bioinformation, Beijing100101, China.
Dongmei TianNational Genomics Data Center, China National Center for Bioinformation, Beijing100101, China.ORCID 0009-0009-0198-0825
Shuhui SongNational Genomics Data Center, China National Center for Bioinformation, Beijing100101, China.ORCID 0000-0003-2409-8770

Funding

Chinese Academy of Sciences CAS-WX2024GC-0602Chinese Academy of Sciences XDA0450102Chinese Academy of Sciences XDA0460405National Key Research and Development Program of China 2025YFF1207901National Natural Science Foundation of China 2022ZD04017National Natural Science Foundation of China 32270718National Natural Science Foundation of China 92374201National Science and Technology Major Project 2022ZD04017
6 · The paper itself

Abstract

The Genome Variation Map (GVM; https://ngdc.cncb.ac.cn/gvm) serves as a public repository for genetic variation data. This version represents a major upgrade to GVM, integrating rigorously curated high-quality DNA resequencing data from a wide range of species and delivering significant enhancements over previous releases. Specifically, the current release encompasses ~2.14 billion standardized variants across 73 species and archives 898 genetic variation projects originating from 79 species, contributed by 180 organizations globally. Furthermore, GVM innovatively incorporates a public variant aggregation pipeline that consolidates in-house curated datasets, user-submitted data, and records from the European Variation Archive to generate comprehensive reference variant sets for each organism. A new module has also been introduced to provide deleterious variant annotations and population genetic selection signals based on population genetic analyses. Additionally, newly implemented online tools support population-specific haplotype analysis and cross-mapping between genome assemblies, serving as integral features of GVM. Collectively, this resource remains essential for archiving and utilizing genomic variation data and for catalyzing advancements in evolutionary biology, disease etiology research, and agricultural genomics.

Indexed as

Databases, GeneticGenetic VariationGenomeGenomicsSoftwareAnimalsHaplotypesHumansMolecular Sequence Annotation

Identifiers

PMID41359037
PMCPMC12807642

What Socratic holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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 Socratic graph.