Evidence map›Paper›PMID 24843834›Full record

ArticleWorm2014

Worm variation made accessible: Take your shopping cart to store, link, and investigate!

L Basten Snoek, K Joeri van der Velde, Yang Li, Ritsert C Jansen, Morris A Swertz, Jan E Kammenga

Abstract read
In one paragraph

Article in Worm, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. WormQTL2: an interactive platform for systems genetics in Caenorhabditis elegans.Database : the journal of biological databases and curation · 2020
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. 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

6 authors.

L Basten SnoekLaboratory of Nematology; Wageningen University; The Netherlands.
K Joeri van der VeldeGenomics Coordination Center; University of Groningen; University Medical Center Groningen; The Netherlands ; Groningen Bioinformatics Center; University of Groningen; The Netherlands ; Department of Genetics; University of Groningen; University Medical Center Groningen; The Netherlands.
Yang LiGenomics Coordination Center; University of Groningen; University Medical Center Groningen; The Netherlands ; Groningen Bioinformatics Center; University of Groningen; The Netherlands.
Ritsert C JansenGroningen Bioinformatics Center; University of Groningen; The Netherlands.
Morris A SwertzGenomics Coordination Center; University of Groningen; University Medical Center Groningen; The Netherlands ; Groningen Bioinformatics Center; University of Groningen; The Netherlands ; Department of Genetics; University of Groningen; University Medical Center Groningen; The Netherlands.
Jan E KammengaLaboratory of Nematology; Wageningen University; The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In Caenorhabditis elegans, the recent advances in high-throughput quantitative analyses of natural genetic and phenotypic variation have led to a wealth of data on genotype phenotype relations. This data has resulted in the discovery of genes with major allelic effects and insights in the effect of natural genetic variation on a whole range of complex traits as well as how this variation is distributed across the genome. Regardless of the advances presented in specific studies, the majority of the data generated in these studies had yet to be made easily accessible, allowing for meta-analysis. Not only data in figures or tables but meta-data should be accessible for further investigation and comparison between studies. A platform was created where all the data, phenotypic measurements, genotypes, and mappings can be stored, compared, and new linkages within and between published studies can be discovered. WormQTL focuses on quantitative genetics in Caenorhabditis and other nematode species, whereas WormQTL(HD) quantitatively links gene expression quantitative trait loci (eQTL) in C. elegans to gene-disease associations in humans.

Indexed as

C. elegansdatabaseeQTLgenotype-phenotypehuman diseaseQTLquantitative geneticsWormQTLWormQTLHD

Identifiers

PMID24843834
PMCPMC4024057

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

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.