Evidence map›Paper›PMID 26573482›Full record

ArticleBMC genomics2015

WIDDE: a Web-Interfaced next generation database for genetic diversity exploration, with a first application in cattle.

Guilhem Sempéré, Katayoun Moazami-Goudarzi, André Eggen, Denis Laloë, Mathieu Gautier, Laurence Flori

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 56 papers.

0numbers the graph read from it
0cells of the map it votes in
56citing papers in PubMed
4.0field-weighted citation impact, top 6% of its field
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

56 citing papers in PubMed, 124 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Genome-wide insights into selection signatures for transcription factor binding sites in cattle ROH regions.Mammalian genome : official journal of the International Mammalian Genome Society · 2025
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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 at 3 institutions in 1 country.

Guilhem SempéréCIRAD, UMR INTERTRYP, F34398, Montpellier, France. guilhem.sempere@cirad.fr.
Katayoun Moazami-GoudarziINRA, UMR 1313 GABI, F78350, Jouy-en-Josas, France. katayoun.goudarzi@jouy.inra.fr.
André EggenIllumina Inc., Hayward, CA, USA. aeggen@illumina.com.
Denis LaloëINRA, UMR 1313 GABI, F78350, Jouy-en-Josas, France. denis.laloe@jouy.inra.fr.
Mathieu GautierINRA, UMR CBGP (INRA/CIRAD/IRD/Supagro), F34988, Montferrier-sur-Lez, France. mathieu.gautier@supagro.inra.fr.
Laurence FloriCIRAD, UMR INTERTRYP, F34398, Montpellier, France. laurence.flori@jouy.inra.fr.
AgroParisTech · FRAgropolis International · FRInteractions hotes-vecteurs-parasites-environnement dans les maladies tropicales négligées dues aux trypanosomatides · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe advent and democratization of next generation sequencing and genotyping technologies lead to a huge amount of data for the characterization of population genetic diversity in model and non model-species. However, efficient storage, management, cross-analyzing and exploration of such dense genotyping datasets remain challenging. This is particularly true for the bovine species where many SNP datasets have been generated in various cattle populations with different genotyping tools. DESCRIPTION: We developed WIDDE, a Web-Interfaced Next Generation Database that stands as a generic tool applicable to a wide range of species and marker types ( http://widde.toulouse.inra.fr). As a first illustration, we hereby describe its first version dedicated to cattle biodiversity, which includes a large and evolving cattle genotyping dataset for over 750,000 SNPs available on 129 (89 public) different cattle populations representative of the world-wide bovine genetic diversity and on 7 outgroup bovid species. This version proposes an optional marker and individual filtering step, an export of genotyping data in different popular formats, and an exploration of genetic diversity through a principal component analysis. Users can also explore their own genotyping data together with data from WIDDE, assign their samples to WIDDE populations based on distance assignment method and supervised clustering, and estimate their ancestry composition relative to the populations represented in the database.

conclusionThe cattle version of WIDDE represents to our knowledge the first database dedicated to cattle biodiversity and SNP genotyping data that will be very useful for researchers interested in this field. As a generic tool applicable to a wide range of marker types, WIDDE is overall intended to the genetic diversity exploration of any species and will be extended to other species shortly. The structure makes it easy to include additional output formats and new tools dedicated to genetic diversity exploration.

Indexed as

Databases, GeneticGenetic VariationInternetAnimalsCattlePolymorphism, Single Nucleotide

Identifiers

PMID26573482
PMCPMC4647285
OpenAlexW2176989565

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.