Evidence map›Paper›PMID 25977769›Full record

ArticleScientific data2014

Genomes and phenomes of a population of outbred rats and its progenitors.

Amelie Baud, Victor Guryev, Oliver Hummel, Martina Johannesson, Rat Genome Sequencing and Mapping Consortium, Jonathan Flint

Erratum issuedAbstract read
In one paragraph

Article in Scientific data, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Rat Models of Metabolic Syndrome.Methods in molecular biology (Clifton, N.J.) · 2019
    Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Heterogeneous Stock Populations for Analysis of Complex Traits.Methods in molecular biology (Clifton, N.J.) · 2017
    Article
  15. Article
  16. Article
  17. Ctrl alt share.Scientific data · 2015
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Amelie BaudEMBL-EBI, Wellcome Trust Genome Campus, Hinxton , Cambridgeshire, CB10 1SD, UK.
Victor GuryevEuropean Research Institute for the Biology of Ageing, Rijksuniversiteit Groningen, Universitair Medisch Centrum Groningen , Groningen, 9700 AD, The Netherlands.
Oliver HummelMax-Delbruck Center for Molecular Medicine , Berlin, 13125, Germany.
Martina JohannessonDepartment of Medical Biochemistry and Biophysics, Division of Medical Inflammation Research, Karolinska Institutet , Stockholm, SSE-17177 Sweden.
Rat Genome Sequencing and Mapping Consortium
Jonathan FlintWellcome Trust Centre for Human Genetics, Roosevelt Drive , Oxford OX3 7BN, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Finding genetic variants that contribute to phenotypic variation is one of the main challenges of modern genetics. We used an outbred population of rats (Heterogeneous Stock, HS) in a combined sequence-based and genetic mapping analysis to identify sequence variants and genes contributing to complex traits of biomedical relevance. Here we describe the sequences of the eight inbred progenitors of the HS and the variants that segregate between them. We report the genotyping of 1,407 HS rats, and the collection from 2,006 rats of 195 phenotypic measures that are relevant to models of anxiety, type 2 diabetes, hypertension and osteoporosis. We make available haplotype dosages for the 1,407 genotyped rats, since genetic mapping in the HS is best carried out by reconstructing each HS chromosome as a mosaic of the progenitor genomes. Finally, we have deposited an R object that makes it easy to incorporate our sequence data into any genetic study of HS rats. Our genetic data are available for both Rnor3.4 and Rnor5.0 rat assemblies.

Identifiers

PMID25977769
PMCPMC4381735

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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.