Evidence map›Paper›PMID 31960906›Full record

ArticleDatabase : the journal of biological databases and curation2020

WormQTL2: an interactive platform for systems genetics in Caenorhabditis elegans.

Basten L Snoek, Mark G Sterken, Margi Hartanto, Albert-Jan van Zuilichem, Jan E Kammenga, Dick de Ridder, Harm Nijveen

Abstract read
In one paragraph

Article in Database : the journal of biological databases and curation, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Plasticity of maternal environment-dependent expression-QTLs of tomato seeds.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2023
    Article
  5. Natural variation inGenome research · 2022
    Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Balancing Selection of the Intracellular Pathogen Response in NaturalFrontiers in cellular and infection microbiology · 2021
    Article
  13. Genetic Variation inMicroorganisms · 2020
    Review
  14. Dissecting the eQTL Micro-Architecture inFrontiers in genetics · 2020
    Article
  15. Article
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

7 authors.

Basten L SnoekLaboratory of Nematology, Wageningen University, Droevendaalsesteeg 1, NL-6708 PB Wageningen, The Netherlands.
Mark G SterkenLaboratory of Nematology, Wageningen University, Droevendaalsesteeg 1, NL-6708 PB Wageningen, The Netherlands.
Margi HartantoLaboratory of Nematology, Wageningen University, Droevendaalsesteeg 1, NL-6708 PB Wageningen, The Netherlands.
Albert-Jan van ZuilichemLaboratory of Nematology, Wageningen University, Droevendaalsesteeg 1, NL-6708 PB Wageningen, The Netherlands.
Jan E KammengaLaboratory of Nematology, Wageningen University, Droevendaalsesteeg 1, NL-6708 PB Wageningen, The Netherlands.
Dick de RidderBioinformatics Group, Wageningen University, Droevendaalsesteeg 1, NL-6708 PB Wageningen, The Netherlands.
Harm NijveenBioinformatics Group, Wageningen University, Droevendaalsesteeg 1, NL-6708 PB Wageningen, The Netherlands.

Funding

Identification of natural variants that influence responses to ethanol in C. elegansR01AA026658 · NIAAA · VIRGINIA COMMONWEALTH UNIVERSITY · PI BETTINGER, JILL C, KAMMENGA, JAN · 2018 to 2022
$1.7M
NIAAA NIH HHS R01 AA026658
6 · The paper itself

Abstract

Quantitative genetics provides the tools for linking polymorphic loci to trait variation. Linkage analysis of gene expression is an established and widely applied method, leading to the identification of expression quantitative trait loci (eQTLs). (e)QTL detection facilitates the identification and understanding of the underlying molecular components and pathways, yet (e)QTL data access and mining often is a bottleneck. Here, we present WormQTL2, a database and platform for comparative investigations and meta-analyses of published (e)QTL data sets in the model nematode worm C. elegans. WormQTL2 integrates six eQTL studies spanning 11 conditions as well as over 1000 traits from 32 studies and allows experimental results to be compared, reused and extended upon to guide further experiments and conduct systems-genetic analyses. For example, one can easily screen a locus for specific cis-eQTLs that could be linked to variation in other traits, detect gene-by-environment interactions by comparing eQTLs under different conditions, or find correlations between QTL profiles of classical traits and gene expression. WormQTL2 makes data on natural variation in C. elegans and the identified QTLs interactively accessible, allowing studies beyond the original publications. Database URL: www.bioinformatics.nl/WormQTL2/.

Indexed as

Caenorhabditis elegansDatabases, GeneticAnimalsGene Expression ProfilingGenetic LinkageOligonucleotide Array Sequence AnalysisPhenotypeQuantitative Trait LociSoftwareSystems BiologyTranscriptome

Identifiers

PMID31960906
PMCPMC6971878

What OpenQuestion holds

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LicenceCC BY
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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.