Evidence map›Paper›PMID 31566222›Full record

ArticleNucleic acids research2020

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

Dongmei Tian, Pei Wang, Bixia Tang, Xufei Teng, Cuiping Li, Xiaonan Liu, Dong Zou, Shuhui Song, Zhang Zhang

Abstract read
In one paragraph

Article in Nucleic acids research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 94 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
94citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

94 citing papers in PubMed, 1 synthesis or guideline pooled it.

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34 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Dongmei TianNational Genomics Data Center, Beijing 100101, China.
Pei WangNational Genomics Data Center, Beijing 100101, China.
Bixia TangNational Genomics Data Center, Beijing 100101, China.
Xufei TengNational Genomics Data Center, Beijing 100101, China.
Cuiping LiNational Genomics Data Center, Beijing 100101, China.
Xiaonan LiuNational Genomics Data Center, Beijing 100101, China.
Dong ZouNational Genomics Data Center, Beijing 100101, China.
Shuhui SongNational Genomics Data Center, Beijing 100101, China.
Zhang ZhangNational Genomics Data Center, Beijing 100101, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Databases, GeneticGenetic VariationGenome-Wide Association StudyGenomicsQuantitative Trait, HeritableQuantitative Trait LociAnimalsPlantsSoftwareUser-Computer InterfaceWeb Browser

Identifiers

PMID31566222
PMCPMC6943065

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.