Evidence map›Paper›PMID 17514509›Full record

ReviewMammalian genome : official journal of the International Mammalian Genome Society2007

Comparative genetic analysis: the utility of mouse genetic systems for studying human monogenic disease.

Peter L Oliver, Emmanuelle Bitoun, Kay E Davies

Abstract readComparative StudyReview
In one paragraph

Review in Mammalian genome : official journal of the International Mammalian Genome Society, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Review
  2. Article
  3. Motile cilia genetics and cell biology: big results from little mice.Cellular and molecular life sciences : CMLS · 2021
    Review
  4. Article
  5. Review
  6. High throughput sequencing approaches to mutation discovery in the mouse.Mammalian genome : official journal of the International Mammalian Genome Society · 2012
    Review
  7. Review
  8. Optimising experimental design for high-throughput phenotyping in mice: a case study.Mammalian genome : official journal of the International Mammalian Genome Society · 2010
    Article
  9. Article
  10. Article
  11. Article
  12. 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

3 authors.

Peter L OliverDepartment of Physiology, Anatomy and Genetics, MRC Functional Genetics Unit, University of Oxford, South Parks Road, Oxford, OX1 3QX, UK.
Emmanuelle Bitoun
Kay E Davies

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

One of the long-term goals of mutagenesis programs in the mouse has been to generate mutant lines to facilitate the functional study of every mammalian gene. With a combination of complementary genetic approaches and advances in technology, this aim is slowly becoming a reality. One of the most important features of this strategy is the ability to identify and compare a number of mutations in the same gene, an allelic series. With the advent of gene-driven screening of mutant archives, the search for a specific series of interest is now a practical option. This review focuses on the analysis of multiple mutations from chemical mutagenesis projects in a wide variety of genes and the valuable functional information that has been obtained from these studies. Although gene knockouts and transgenics will continue to be an important resource to ascertain gene function, with a significant proportion of human diseases caused by point mutations, identifying an allelic series is becoming an equally efficient route to generating clinically relevant and functionally important mouse models.

Indexed as

AnimalsGenetic Diseases, InbornGenotypeHumansMiceMice, TransgenicMutant ProteinsPhenotypeMutant Proteins

Identifiers

PMID17514509
PMCPMC1998876

What OpenQuestion holds

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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.