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RAVAR: a curated repository for rare variant-trait associations.
Cao, Chen; Shao, Mengting; Zuo, Chunman; Kwok, Devin; Liu, Lin; Ge, Yuli; Zhang, Zilong; Cui, Feifei; Chen, Mingshuai; Fan, Rui; Ding, Yijie; Jiang, Hangjin; Wang, Guishen; Zou, Quan.
Afiliação
  • Cao C; Key Laboratory for Bio-Electromagnetic Environment and Advanced Medical Theranostics, School of Biomedical Engineering and Informatics, Nanjing Medical University, Nanjing, China.
  • Shao M; Key Laboratory for Bio-Electromagnetic Environment and Advanced Medical Theranostics, School of Biomedical Engineering and Informatics, Nanjing Medical University, Nanjing, China.
  • Zuo C; Institute of Artificial Intelligence, Donghua University, Shanghai, China.
  • Kwok D; School of Computer Science, McGill University, Montreal, Canada.
  • Liu L; Key Laboratory for Bio-Electromagnetic Environment and Advanced Medical Theranostics, School of Biomedical Engineering and Informatics, Nanjing Medical University, Nanjing, China.
  • Ge Y; Key Laboratory for Bio-Electromagnetic Environment and Advanced Medical Theranostics, School of Biomedical Engineering and Informatics, Nanjing Medical University, Nanjing, China.
  • Zhang Z; Institute of Fundamental and Frontier Sciences, University of Electronic Science and Technology of China, Chengdu, China.
  • Cui F; Yangtze Delta Region Institute (Quzhou), University of Electronic Science and Technology of China, Quzhou, China.
  • Chen M; Institute of Fundamental and Frontier Sciences, University of Electronic Science and Technology of China, Chengdu, China.
  • Fan R; Yangtze Delta Region Institute (Quzhou), University of Electronic Science and Technology of China, Quzhou, China.
  • Ding Y; Yangtze Delta Region Institute (Quzhou), University of Electronic Science and Technology of China, Quzhou, China.
  • Jiang H; Yangtze Delta Region Institute (Quzhou), University of Electronic Science and Technology of China, Quzhou, China.
  • Wang G; Yangtze Delta Region Institute (Quzhou), University of Electronic Science and Technology of China, Quzhou, China.
  • Zou Q; Center for Data Science, Zhejiang University, Hangzhou, China.
Nucleic Acids Res ; 52(D1): D990-D997, 2024 Jan 05.
Article em En | MEDLINE | ID: mdl-37831073
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.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Variação Genética / Bases de Dados Genéticas / Estudo de Associação Genômica Ampla Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Variação Genética / Bases de Dados Genéticas / Estudo de Associação Genômica Ampla Idioma: En Ano de publicação: 2024 Tipo de documento: Article