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

Author:

Liu Xiaonan123ORCID,Tian Dongmei1,Li Cuiping1ORCID,Tang Bixia1ORCID,Wang Zhonghuang123,Zhang Rongqin1243,Pan Yitong153,Wang Yi123,Zou Dong1,Zhang Zhang1243ORCID,Song Shuhui1243ORCID

Affiliation:

1. National Genomics Data Center, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation , Beijing  100101,  China

2. CAS Key Laboratory of Genome Sciences and Information, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation , Beijing 100101 ,  China

3. University of Chinese Academy of Sciences , Beijing 100049 ,  China

4. Sino-Danish College, University of Chinese Academy of Sciences , Beijing 100049 ,  China

5. CAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformatics , Beijing 100101 ,  China

Abstract

Abstract 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.

Funder

Strategic Priority Research Program of the Chinese Academy of Sciences

National Key Research and Development Program of China

National Natural Science Foundation of China

Youth Innovation Promotion Association of the Chinese Academy of Sciences

Publisher

Oxford University Press (OUP)

Subject

Genetics

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