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GWAS Atlas: an updated knowledgebase integrating more curated associations in plants and animals

GWAS Atlas (https://ngdc.cncb.ac.cn/gwas/) is a manually curated resource of genome-wide genotype-to-phenotype associations for a wide range of species. Here, we present an updated implementation of GWAS Atlas by curating and incorporating more high-quality associations, with significant improvement...

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Autores principales: Liu, Xiaonan, Tian, Dongmei, Li, Cuiping, Tang, Bixia, Wang, Zhonghuang, Zhang, Rongqin, Pan, Yitong, Wang, Yi, Zou, Dong, Zhang, Zhang, Song, Shuhui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9825481/
https://www.ncbi.nlm.nih.gov/pubmed/36263826
http://dx.doi.org/10.1093/nar/gkac924
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author Liu, Xiaonan
Tian, Dongmei
Li, Cuiping
Tang, Bixia
Wang, Zhonghuang
Zhang, Rongqin
Pan, Yitong
Wang, Yi
Zou, Dong
Zhang, Zhang
Song, Shuhui
author_facet Liu, Xiaonan
Tian, Dongmei
Li, Cuiping
Tang, Bixia
Wang, Zhonghuang
Zhang, Rongqin
Pan, Yitong
Wang, Yi
Zou, Dong
Zhang, Zhang
Song, Shuhui
author_sort Liu, Xiaonan
collection PubMed
description GWAS Atlas (https://ngdc.cncb.ac.cn/gwas/) is a manually curated resource of genome-wide genotype-to-phenotype associations for a wide range of species. Here, we present an updated implementation of GWAS Atlas by curating and incorporating more high-quality associations, with significant improvements and advances over the previous version. Specifically, the current release of GWAS Atlas incorporates a total of 278,109 curated genotype-to-phenotype associations for 1,444 different traits across 15 species (10 plants and 5 animals) from 830 publications and 3,432 studies. A collection of 6,084 lead SNPs of 439 traits and 486 experiment-validated causal variants of 157 traits are newly added. Moreover, 1,056 trait ontology terms are newly defined, resulting in 1,172 and 431 terms for Plant Phenotype and Trait Ontology and Animal Phenotype and Trait Ontology, respectively. Additionally, it is equipped with four online analysis tools and a submission platform, allowing users to perform data analysis and data submission. Collectively, as a core resource in the National Genomics Data Center, GWAS Atlas provides valuable genotype-to-phenotype associations for a diversity of species and thus plays an important role in agronomic trait study and molecular breeding.
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spelling pubmed-98254812023-01-10 GWAS Atlas: an updated knowledgebase integrating more curated associations in plants and animals Liu, Xiaonan Tian, Dongmei Li, Cuiping Tang, Bixia Wang, Zhonghuang Zhang, Rongqin Pan, Yitong Wang, Yi Zou, Dong Zhang, Zhang Song, Shuhui Nucleic Acids Res Database Issue GWAS Atlas (https://ngdc.cncb.ac.cn/gwas/) is a manually curated resource of genome-wide genotype-to-phenotype associations for a wide range of species. Here, we present an updated implementation of GWAS Atlas by curating and incorporating more high-quality associations, with significant improvements and advances over the previous version. Specifically, the current release of GWAS Atlas incorporates a total of 278,109 curated genotype-to-phenotype associations for 1,444 different traits across 15 species (10 plants and 5 animals) from 830 publications and 3,432 studies. A collection of 6,084 lead SNPs of 439 traits and 486 experiment-validated causal variants of 157 traits are newly added. Moreover, 1,056 trait ontology terms are newly defined, resulting in 1,172 and 431 terms for Plant Phenotype and Trait Ontology and Animal Phenotype and Trait Ontology, respectively. Additionally, it is equipped with four online analysis tools and a submission platform, allowing users to perform data analysis and data submission. Collectively, as a core resource in the National Genomics Data Center, GWAS Atlas provides valuable genotype-to-phenotype associations for a diversity of species and thus plays an important role in agronomic trait study and molecular breeding. Oxford University Press 2022-10-20 /pmc/articles/PMC9825481/ /pubmed/36263826 http://dx.doi.org/10.1093/nar/gkac924 Text en © The Author(s) 2022. Published by Oxford University Press on behalf of Nucleic Acids Research. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Database Issue
Liu, Xiaonan
Tian, Dongmei
Li, Cuiping
Tang, Bixia
Wang, Zhonghuang
Zhang, Rongqin
Pan, Yitong
Wang, Yi
Zou, Dong
Zhang, Zhang
Song, Shuhui
GWAS Atlas: an updated knowledgebase integrating more curated associations in plants and animals
title GWAS Atlas: an updated knowledgebase integrating more curated associations in plants and animals
title_full GWAS Atlas: an updated knowledgebase integrating more curated associations in plants and animals
title_fullStr GWAS Atlas: an updated knowledgebase integrating more curated associations in plants and animals
title_full_unstemmed GWAS Atlas: an updated knowledgebase integrating more curated associations in plants and animals
title_short GWAS Atlas: an updated knowledgebase integrating more curated associations in plants and animals
title_sort gwas atlas: an updated knowledgebase integrating more curated associations in plants and animals
topic Database Issue
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9825481/
https://www.ncbi.nlm.nih.gov/pubmed/36263826
http://dx.doi.org/10.1093/nar/gkac924
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