Evidence map›Paper›PMID 28592645›Full record

ArticleG3 (Bethesda, Md.)2017

Inbred Strain Variant Database (ISVdb): A Repository for Probabilistically Informed Sequence Differences Among the Collaborative Cross Strains and Their Founders.

Daniel Oreper, Yanwei Cai, Lisa M Tarantino, Fernando Pardo-Manuel de Villena, William Valdar

Abstract read
In one paragraph

Article in G3 (Bethesda, Md.), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Identification of Candidate Risk Factor Genes for Human Idelalisib Toxicity Using a Collaborative Cross Approach.Toxicological sciences : an official journal of the Society of Toxicology · 2019
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Bayesian Diallel Analysis RevealsG3 (Bethesda, Md.) · 2018
    Article
  13. Advancing chemical risk assessment decision-making with population variability data: challenges and opportunities.Mammalian genome : official journal of the International Mammalian Genome Society · 2018
    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

5 authors.

Daniel OreperCurriculum in Bioinformatics and Computational Biology, University of North Carolina, Chapel Hill, North Carolina 27599-7265.ORCID 0000-0003-4569-5160
Yanwei CaiCurriculum in Bioinformatics and Computational Biology, University of North Carolina, Chapel Hill, North Carolina 27599-7265.ORCID 0000-0002-3950-3794
Lisa M TarantinoDepartment of Genetics, University of North Carolina, Chapel Hill, North Carolina 27599-7265.ORCID 0000-0001-9984-2600
Fernando Pardo-Manuel de VillenaDepartment of Genetics, University of North Carolina, Chapel Hill, North Carolina 27599-7265.ORCID 0000-0002-5738-5795
William ValdarDepartment of Genetics, University of North Carolina, Chapel Hill, North Carolina 27599-7265 william.valdar@unc.edu.ORCID 0000-0002-2419-0430

Funding

Role of maternal diet and allelic imbalance in behavior.R01MH100241 · NIMH · UNIV OF NORTH CAROLINA CHAPEL HILL · PI TARANTINO, LISA M, VALDAR, WILLIAM · 2013 to 2017
$2.8M
UNC Predoc Training Progr in Bioinformatics/Comp BiologyT32GM067553 · NIGMS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI ELSTON, TIMOTHY C · 2005 to 2019
$2.5M
NIGMS NIH HHS T32 GM067553NIMH NIH HHS R01 MH100241
6 · The paper itself

Abstract

The Collaborative Cross (CC) is a panel of recently established multiparental recombinant inbred mouse strains. For the CC, as for any multiparental population (MPP), effective experimental design and analysis benefit from detailed knowledge of the genetic differences between strains. Such differences can be directly determined by sequencing, but until now whole-genome sequencing was not publicly available for individual CC strains. An alternative and complementary approach is to infer genetic differences by combining two pieces of information: probabilistic estimates of the CC haplotype mosaic from a custom genotyping array, and probabilistic variant calls from sequencing of the CC founders. The computation for this inference, especially when performed genome-wide, can be intricate and time-consuming, requiring the researcher to generate nontrivial and potentially error-prone scripts. To provide standardized, easy-to-access CC sequence information, we have developed the Inbred Strain Variant Database (ISVdb). The ISVdb provides, for all the exonic variants from the Sanger Institute mouse sequencing dataset, direct sequence information for CC founders and, critically, the imputed sequence information for CC strains. Notably, the ISVdb also: (1) provides predicted variant consequence metadata; (2) allows rapid simulation of F1 populations; and (3) preserves imputation uncertainty, which will allow imputed data to be refined in the future as additional sequencing and genotyping data are collected. The ISVdb information is housed in an SQL database and is easily accessible through a custom online interface (http://isvdb.unc.edu), reducing the analytic burden on any researcher using the CC.

Indexed as

Databases, GeneticGenetic VariationMice, Inbred StrainsAlgorithmsAnimalsBreedingComputer SimulationCrosses, GeneticGenomicsGenotypeHaplotypesMiceUser-Computer InterfaceWeb BrowserWorkflowCollaborative Crosshaplotypeinbred strainMPPmultiparental populationsonline GUIvariant imputation

Identifiers

PMID28592645
PMCPMC5473744

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.