GWAS Atlas: a curated resource of genome-wide variant-trait associations in plants and animals

Author:

Tian Dongmei12,Wang Pei123,Tang Bixia12,Teng Xufei123,Li Cuiping12,Liu Xiaonan124,Zou Dong12,Song Shuhui1235,Zhang Zhang12345

Affiliation:

1. National Genomics Data Center, Beijing 100101, China

2. BIG Data Center, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China

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

4. School of Future Technology, University of Chinese Academy of Sciences, Beijing 100049, China

5. CAS Key Laboratory of Genome Sciences and Information, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100101, China

Abstract

Abstract 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.

Funder

Chinese Academy of Sciences

National Key Research and Development Program of China

National Natural Science Foundation of China

CAS

The 100 Talent Program of the Chinese Academy of Sciences

K.C. Wong Education Foundation

The Youth Innovation Promotion Association of Chinese Academy of Sciences

Publisher

Oxford University Press (OUP)

Subject

Genetics

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