Evidence map›Paper›PMID 37831073›Full record

ArticleNucleic acids research2024

RAVAR: a curated repository for rare variant-trait associations.

Chen Cao, Mengting Shao, Chunman Zuo, Devin Kwok, Lin Liu, Yuli Ge, Zilong Zhang, Feifei Cui, Mingshuai Chen, Rui Fan and 4 more

Abstract read
In one paragraph

Article in Nucleic acids research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

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  7. lncRNA localization and feature interpretability analysis.Molecular therapy. Nucleic acids · 2025
    Article
  8. Review
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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.

Chen CaoKey Laboratory for Bio-Electromagnetic Environment and Advanced Medical Theranostics, School of Biomedical Engineering and Informatics, Nanjing Medical University, Nanjing, China.ORCID 0000-0001-5343-808X
Mengting ShaoKey Laboratory for Bio-Electromagnetic Environment and Advanced Medical Theranostics, School of Biomedical Engineering and Informatics, Nanjing Medical University, Nanjing, China.
Chunman ZuoInstitute of Artificial Intelligence, Donghua University, Shanghai, China.
Devin KwokSchool of Computer Science, McGill University, Montreal, Canada.
Lin LiuKey Laboratory for Bio-Electromagnetic Environment and Advanced Medical Theranostics, School of Biomedical Engineering and Informatics, Nanjing Medical University, Nanjing, China.
Yuli GeKey Laboratory for Bio-Electromagnetic Environment and Advanced Medical Theranostics, School of Biomedical Engineering and Informatics, Nanjing Medical University, Nanjing, China.
Zilong ZhangInstitute of Fundamental and Frontier Sciences, University of Electronic Science and Technology of China, Chengdu, China.
Feifei CuiInstitute of Fundamental and Frontier Sciences, University of Electronic Science and Technology of China, Chengdu, China.
Mingshuai ChenYangtze Delta Region Institute (Quzhou), University of Electronic Science and Technology of China, Quzhou, China.
Rui FanYangtze Delta Region Institute (Quzhou), University of Electronic Science and Technology of China, Quzhou, China.
Yijie DingYangtze Delta Region Institute (Quzhou), University of Electronic Science and Technology of China, Quzhou, China.ORCID 0000-0002-3905-7325
Hangjin JiangCenter for Data Science, Zhejiang University, Hangzhou, China.
Guishen WangCollege of Computer Science and Engineering, Changchun University of Technology, Changchun, China.ORCID 0000-0001-6406-1142
Quan ZouInstitute of Fundamental and Frontier Sciences, University of Electronic Science and Technology of China, Chengdu, China.

Funding

National Natural Science Foundation of China 62102068
6 · The paper itself

Abstract

Rare variants contribute significantly to the genetic causes of complex traits, as they can have much larger effects than common variants and account for much of the missing heritability in genome-wide association studies. The emergence of UK Biobank scale datasets and accurate gene-level rare variant-trait association testing methods have dramatically increased the number of rare variant associations that have been detected. However, no systematic collection of these associations has been carried out to date, especially at the gene level. To address the issue, we present the Rare Variant Association Repository (RAVAR), a comprehensive collection of rare variant associations. RAVAR includes 95 047 high-quality rare variant associations (76186 gene-level and 18 861 variant-level associations) for 4429 reported traits which are manually curated from 245 publications. RAVAR is the first resource to collect and curate published rare variant associations in an interactive web interface with integrated visualization, search, and download features. Detailed gene and SNP information are provided for each association, and users can conveniently search for related studies by exploring the EFO tree structure and interactive Manhattan plots. RAVAR could vastly improve the accessibility of rare variant studies. RAVAR is freely available for all users without login requirement at http://www.ravar.bio.

Indexed as

Databases, GeneticGenetic VariationGenome-Wide Association StudyMultifactorial InheritancePhenotype

Identifiers

PMID37831073
PMCPMC10767942

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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.