Evidence map›Paper›PMID 31725724›Full record

ReviewPLoS genetics2019

Mouse protein coding diversity: What's left to discover?

Jingtao Lilue, Anu Shivalikanjli, David J Adams, Thomas M Keane

Abstract readReview
In one paragraph

Review in PLoS genetics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. ASPEN: Robust detection of allelic dynamics in single cell RNA-seq.bioRxiv : the preprint server for biology · 2025
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Review
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

4 authors.

Jingtao LilueEuropean Molecular Biology Laboratory, European Bioinformatics Institute, Hinxton, Cambridge, United Kingdom.ORCID 0000-0002-1958-0231
Anu ShivalikanjliEuropean Molecular Biology Laboratory, European Bioinformatics Institute, Hinxton, Cambridge, United Kingdom.ORCID 0000-0001-7735-5238
David J AdamsWellcome Sanger Institute, Hinxton, United Kingdom.ORCID 0000-0001-9490-0306
Thomas M KeaneEuropean Molecular Biology Laboratory, European Bioinformatics Institute, Hinxton, Cambridge, United Kingdom.ORCID 0000-0001-7532-6898

Funding

Cancer Research UK 14356Cancer Research UK 21717Medical Research Council MR/L007428/1Medical Research Council MR/R017565/1Wellcome TrustWellcome Trust 100956/Z/13/Z
6 · The paper itself

Abstract

For over a century, mice have been used to model human disease, leading to many fundamental discoveries about mammalian biology and the development of new therapies. Mouse genetics research has been further catalysed by a plethora of genomic resources developed in the last 20 years, including the genome sequence of C57BL/6J and more recently the first draft reference genomes for 16 additional laboratory strains. Collectively, the comparison of these genomes highlights the extreme diversity that exists at loci associated with the immune system, pathogen response, and key sensory functions, which form the foundation for dissecting phenotypic traits in vivo. We review the current status of the mouse genome across the diversity of the mouse lineage and discuss the value of mice to understanding human disease.

Indexed as

GenomicsAnimalsAnimals, Inbred StrainsChromosome MappingGenomeHaplotypesHumansInbreedingMicePhenotype

Identifiers

PMID31725724
PMCPMC6855407

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.