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

被引:97
作者
Tian, Dongmei [1 ,2 ]
Wang, Pei [1 ,2 ,3 ]
Tang, Bixia [1 ,2 ]
Teng, Xufei [1 ,2 ,3 ]
Li, Cuiping [1 ,2 ]
Liu, Xiaonan [1 ,2 ,4 ]
Zou, Dong [1 ,2 ]
Song, Shuhui [1 ,2 ,3 ,5 ]
Zhang, Zhang [1 ,2 ,3 ,4 ,5 ]
机构
[1] Natl Genom Data Ctr, Beijing 100101, Peoples R China
[2] Chinese Acad Sci, BIG Data Ctr, Beijing Inst Genom, Beijing 100101, Peoples R China
[3] Univ Chinese Acad Sci, Coll Life Sci, Beijing 100049, Peoples R China
[4] Univ Chinese Acad Sci, Sch Future Technol, Beijing 100049, Peoples R China
[5] Chinese Acad Sci, Beijing Inst Genom, CAS Key Lab Genome Sci & Informat, Beijing 100101, Peoples R China
基金
中国国家自然科学基金;
关键词
EUROPE PMC; POLYMORPHISM;
D O I
10.1093/nar/gkz828
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
GWAS Atlas (https://bigd.big.ac.cn/gwasi) 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.
引用
收藏
页码:D927 / D932
页数:6
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