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Genetics
Article . 1992 . Peer-reviewed
License: OUP Standard Publication Reuse
Data sources: Crossref
Genetics
Article . 1992
Data sources: Europe PubMed Central
Genetics
Article
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A genetic map of the mouse suitable for typing intraspecific crosses.

descriptionPublicationkeyboard_double_arrow_right Article 01 Jun 1992 English Publisher:Oxford University Press (OUP)Journal:Genetics, volume 131, pages 423-447 (eissn: 1943-2631, Copyright policy )
Authors: Hillary Katz; Eric S. Lander; Stephen E Lincoln; Jeffrey Friedman; Nicholas C. Dracopoli; William F. Dietrich; Hee-Sup Shin;

doi: 10.1093/genetics/131.2.423

pmid: 1353738

pmc: PMC1205016

A genetic map of the mouse suitable for typing intraspecific crosses.

Abstract

Abstract We report the construction of a genetic linkage map of the mouse, consisting entirely of genetic markers that can be rapidly typed by polymerase chain reaction and that show a high degree of polymorphism among inbred laboratory strains. Specifically, the map contains 317 simple sequence length polymorphisms at an average spacing of 4.3 cM and is detectably linked to approximately 99% of the mouse genome. In typical crosses between inbred laboratory strains, about 50% of the markers are polymorphic, making it straightforward to follow inheritance in almost any cross.

Related Organizations
Keywords

Genetic Markers, Genome, Base Sequence, Genetic Linkage, Molecular Sequence Data, Chromosome Mapping, Mice, Inbred Strains, Polymerase Chain Reaction, Mice, Animals, Polymorphism, Restriction Fragment Length, Repetitive Sequences, Nucleic Acid

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1K
Top 1%
Top 0.01%
Top 0.01%
hybrid