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GWAS Atlas: a curated resource of genome-wide variant-trait associations in plants and animals
GWAS Atlas (https://bigd.big.ac.cn/gwas/) is a manually curated resource of genome-wide variant-trait associations for a wide range of species. Unlike existing related resources, it features comprehensive integration of a high-quality collection of 75 467 variant-trait associations for 614 traits ac...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6943065/ https://www.ncbi.nlm.nih.gov/pubmed/31566222 http://dx.doi.org/10.1093/nar/gkz828 |
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author | Tian, Dongmei Wang, Pei Tang, Bixia Teng, Xufei Li, Cuiping Liu, Xiaonan Zou, Dong Song, Shuhui Zhang, Zhang |
author_facet | Tian, Dongmei Wang, Pei Tang, Bixia Teng, Xufei Li, Cuiping Liu, Xiaonan Zou, Dong Song, Shuhui Zhang, Zhang |
author_sort | Tian, Dongmei |
collection | PubMed |
description | GWAS Atlas (https://bigd.big.ac.cn/gwas/) is a manually curated resource of genome-wide variant-trait associations for a wide range of species. Unlike existing related resources, it features comprehensive integration of a high-quality collection of 75 467 variant-trait associations for 614 traits across 7 cultivated plants (cotton, Japanese apricot, maize, rapeseed, rice, sorghum and soybean) and two domesticated animals (goat and pig), which were manually curated from 254 publications. We integrated these associations into GWAS Atlas and presented them in terms of variants, genes, traits, studies and publications. More importantly, all associations and traits were annotated and organized based on a suite of ontologies (Plant Trait Ontology, Animal Trait Ontology for Livestock, etc.). Taken together, GWAS Atlas integrates high-quality curated GWAS associations for animals and plants and provides user-friendly web interfaces for data browsing and downloading, accordingly serving as a valuable resource for genetic research of important traits and breeding application. |
format | Online Article Text |
id | pubmed-6943065 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-69430652020-01-08 GWAS Atlas: a curated resource of genome-wide variant-trait associations in plants and animals Tian, Dongmei Wang, Pei Tang, Bixia Teng, Xufei Li, Cuiping Liu, Xiaonan Zou, Dong Song, Shuhui Zhang, Zhang Nucleic Acids Res Database Issue GWAS Atlas (https://bigd.big.ac.cn/gwas/) is a manually curated resource of genome-wide variant-trait associations for a wide range of species. Unlike existing related resources, it features comprehensive integration of a high-quality collection of 75 467 variant-trait associations for 614 traits across 7 cultivated plants (cotton, Japanese apricot, maize, rapeseed, rice, sorghum and soybean) and two domesticated animals (goat and pig), which were manually curated from 254 publications. We integrated these associations into GWAS Atlas and presented them in terms of variants, genes, traits, studies and publications. More importantly, all associations and traits were annotated and organized based on a suite of ontologies (Plant Trait Ontology, Animal Trait Ontology for Livestock, etc.). Taken together, GWAS Atlas integrates high-quality curated GWAS associations for animals and plants and provides user-friendly web interfaces for data browsing and downloading, accordingly serving as a valuable resource for genetic research of important traits and breeding application. Oxford University Press 2020-01-08 2019-09-30 /pmc/articles/PMC6943065/ /pubmed/31566222 http://dx.doi.org/10.1093/nar/gkz828 Text en © The Author(s) 2019. Published by Oxford University Press on behalf of Nucleic Acids Research. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://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 Tian, Dongmei Wang, Pei Tang, Bixia Teng, Xufei Li, Cuiping Liu, Xiaonan Zou, Dong Song, Shuhui Zhang, Zhang GWAS Atlas: a curated resource of genome-wide variant-trait associations in plants and animals |
title | GWAS Atlas: a curated resource of genome-wide variant-trait associations in plants and animals |
title_full | GWAS Atlas: a curated resource of genome-wide variant-trait associations in plants and animals |
title_fullStr | GWAS Atlas: a curated resource of genome-wide variant-trait associations in plants and animals |
title_full_unstemmed | GWAS Atlas: a curated resource of genome-wide variant-trait associations in plants and animals |
title_short | GWAS Atlas: a curated resource of genome-wide variant-trait associations in plants and animals |
title_sort | gwas atlas: a curated resource of genome-wide variant-trait associations in plants and animals |
topic | Database Issue |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6943065/ https://www.ncbi.nlm.nih.gov/pubmed/31566222 http://dx.doi.org/10.1093/nar/gkz828 |
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