Evidence map›Paper›PMID 31642487›Full record

ArticleNucleic acids research2020

AraPheno and the AraGWAS Catalog 2020: a major database update including RNA-Seq and knockout mutation data for Arabidopsis thaliana.

Matteo Togninalli, Ümit Seren, Jan A Freudenthal, J Grey Monroe, Dazhe Meng, Magnus Nordborg, Detlef Weigel, Karsten Borgwardt, Arthur Korte, Dominik G Grimm

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 47 papers.

0numbers the graph read from it
0cells of the map it votes in
47citing papers in PubMed
–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

47 citing papers in PubMed.

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  17. DNA language models are powerful predictors of genome-wide variant effects.Proceedings of the National Academy of Sciences of the United States of America · 2023
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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

10 authors.

Matteo TogninalliMachine Learning and Computational Biology Lab, Department of Biosystems Science and Engineering, ETH Zürich, Basel, Switzerland.
Ümit SerenGregor Mendel Institute of Molecular Plant Biology, Vienna, Austria.
Jan A FreudenthalCenter for Computational and Theoretical Biology, University Würzburg, Würzburg, Germany.
J Grey MonroeMax Planck Institute for Developmental Biology, Tübingen, Germany.
Dazhe MengGregor Mendel Institute of Molecular Plant Biology, Vienna, Austria.
Magnus NordborgGregor Mendel Institute of Molecular Plant Biology, Vienna, Austria.
Detlef WeigelMax Planck Institute for Developmental Biology, Tübingen, Germany.
Karsten BorgwardtMachine Learning and Computational Biology Lab, Department of Biosystems Science and Engineering, ETH Zürich, Basel, Switzerland.
Arthur KorteCenter for Computational and Theoretical Biology, University Würzburg, Würzburg, Germany.
Dominik G GrimmTechnical University of Munich, TUM Campus Straubing for Biotechnology and Sustainability, Bioinformatics, Straubing, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genome-wide association studies (GWAS) are integral for studying genotype-phenotype relationships and gaining a deeper understanding of the genetic architecture underlying trait variation. A plethora of genetic associations between distinct loci and various traits have been successfully discovered and published for the model plant Arabidopsis thaliana. This success and the free availability of full genomes and phenotypic data for more than 1,000 different natural inbred lines led to the development of several data repositories. AraPheno (https://arapheno.1001genomes.org) serves as a central repository of population-scale phenotypes in A. thaliana, while the AraGWAS Catalog (https://aragwas.1001genomes.org) provides a publicly available, manually curated and standardized collection of marker-trait associations for all available phenotypes from AraPheno. In this major update, we introduce the next generation of both platforms, including new data, features and tools. We included novel results on associations between knockout-mutations and all AraPheno traits. Furthermore, AraPheno has been extended to display RNA-Seq data for hundreds of accessions, providing expression information for over 28 000 genes for these accessions. All data, including the imputed genotype matrix used for GWAS, are easily downloadable via the respective databases.

Indexed as

Computational BiologyDatabases, GeneticGenome, PlantGenome-Wide Association StudyPhenotypeArabidopsisGene Knockout TechniquesGenotypeMutationQuantitative Trait, HeritableQuantitative Trait LociSequence Analysis, RNAWeb Browser

Identifiers

PMID31642487
PMCPMC7145550

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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.