Literature DB >> 19266333

Influence of genetic background on genetically engineered mouse phenotypes.

Thomas Doetschman1.   

Abstract

The history of mouse genetics, which involves the study of strain-dependent phenotype variability, makes it clear that the genetic background onto which a gene-targeted allele is placed can cause considerable variation in genetically engineered mouse (GEM) phenotype. This variation can present itself as completely different phenotypes, as variations in penetrance of phenotype, or as variable expressivity of phenotype. In this chapter we provide examples from gene-targeting literature showing each of these types of phenotype variation. We discuss ways in which modifier genes can affect the phenotype of a mouse with a mutant gene, and we give examples of modifier locus identification. We also review approaches to minimize gene polymorphism and flanking gene differences between experimental animals, and between them and their controls. In addition, we discuss the advantages and disadvantages of performing the first analysis of a knockout mouse on a mixed genetic background. We conclude that a mixed background provides the quickest preview of possible strain-dependent phenotypes (1 , 2). Finally, we review recent approaches to improving genetic diversity by generating new inbred strains that encompass a broader range of alleles within the mouse species.

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Year:  2009        PMID: 19266333      PMCID: PMC2805848          DOI: 10.1007/978-1-59745-471-1_23

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  46 in total

1.  Theoretical and empirical issues for marker-assisted breeding of congenic mouse strains.

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Journal:  Nat Genet       Date:  1997-11       Impact factor: 38.330

Review 2.  Interpretation of phenotype in genetically engineered mice.

Authors:  T Doetschman
Journal:  Lab Anim Sci       Date:  1999-04

3.  Double-outlet right ventricle and overriding tricuspid valve reflect disturbances of looping, myocardialization, endocardial cushion differentiation, and apoptosis in TGF-beta(2)-knockout mice.

Authors:  U Bartram; D G Molin; L J Wisse; A Mohamad; L P Sanford; T Doetschman; C P Speer; R E Poelmann; A C Gittenberger-de Groot
Journal:  Circulation       Date:  2001-06-05       Impact factor: 29.690

4.  Four strains of spontaneously hyperlipidemic (SHL) mice: phenotypic distinctions determined by genetic backgrounds.

Authors:  Y Matsushima; T Sakurai; A Ohoka; T Ohnuki; N Tada; Y Asoh; M Tachibana
Journal:  J Atheroscler Thromb       Date:  2001       Impact factor: 4.928

5.  Targeted disruption of mouse EGF receptor: effect of genetic background on mutant phenotype.

Authors:  D W Threadgill; A A Dlugosz; L A Hansen; T Tennenbaum; U Lichti; D Yee; C LaMantia; T Mourton; K Herrup; R C Harris
Journal:  Science       Date:  1995-07-14       Impact factor: 47.728

6.  Neointimal formation in two apolipoprotein E-deficient mouse strains with different atherosclerosis susceptibility.

Authors:  Weibin Shi; Hong Pei; Joshua J Fischer; Jessica C James; John F Angle; Alan H Matsumoto; Gregory A Helm; Ian J Sarembock
Journal:  J Lipid Res       Date:  2004-08-16       Impact factor: 5.922

7.  Genetic and haplotype diversity among wild-derived mouse inbred strains.

Authors:  Folami Y Ideraabdullah; Elena de la Casa-Esperón; Timothy A Bell; David A Detwiler; Terry Magnuson; Carmen Sapienza; Fernando Pardo-Manuel de Villena
Journal:  Genome Res       Date:  2004-10       Impact factor: 9.043

8.  In vitro reprogramming of fibroblasts into a pluripotent ES-cell-like state.

Authors:  Marius Wernig; Alexander Meissner; Ruth Foreman; Tobias Brambrink; Manching Ku; Konrad Hochedlinger; Bradley E Bernstein; Rudolf Jaenisch
Journal:  Nature       Date:  2007-06-06       Impact factor: 49.962

9.  Colorectal hyperplasia and inflammation in keratin 8-deficient FVB/N mice.

Authors:  H Baribault; J Penner; R V Iozzo; M Wilson-Heiner
Journal:  Genes Dev       Date:  1994-12-15       Impact factor: 11.361

10.  TGFbeta2 knockout mice have multiple developmental defects that are non-overlapping with other TGFbeta knockout phenotypes.

Authors:  L P Sanford; I Ormsby; A C Gittenberger-de Groot; H Sariola; R Friedman; G P Boivin; E L Cardell; T Doetschman
Journal:  Development       Date:  1997-07       Impact factor: 6.868

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  92 in total

1.  Role of STK in mouse liver macrophage and endothelial cell responsiveness during acute endotoxemia.

Authors:  Debra L Laskin; Li Chen; Pamela A Hankey; Jeffrey D Laskin
Journal:  J Leukoc Biol       Date:  2010-05-07       Impact factor: 4.962

Review 2.  Mutation and epigenetic molecular clocks in cancer.

Authors:  Darryl Shibata
Journal:  Carcinogenesis       Date:  2010-11-12       Impact factor: 4.944

3.  Defective erythroid maturation in gelsolin mutant mice.

Authors:  Claudio Cantù; Francesca Bosè; Paola Bianchi; Eva Reali; Maria Teresa Colzani; Ileana Cantù; Gloria Barbarani; Sergio Ottolenghi; Walter Witke; Laura Spinardi; Antonella Ellena Ronchi
Journal:  Haematologica       Date:  2012-01-22       Impact factor: 9.941

4.  Osteopontin regulates dentin and alveolar bone development and mineralization.

Authors:  B L Foster; M Ao; C R Salmon; M B Chavez; T N Kolli; A B Tran; E Y Chu; K R Kantovitz; M Yadav; S Narisawa; J L Millán; F H Nociti; M J Somerman
Journal:  Bone       Date:  2017-12-05       Impact factor: 4.398

5.  A novel method, the Variant Impact On Linkage Effect Test (VIOLET), leads to improved identification of causal variants in linkage regions.

Authors:  Lisa J Martin; Lili Ding; Xue Zhang; Ahmed H Kissebah; Michael Olivier; D Woodrow Benson
Journal:  Eur J Hum Genet       Date:  2013-06-05       Impact factor: 4.246

Review 6.  High-throughput mouse phenomics for characterizing mammalian gene function.

Authors:  Steve D M Brown; Chris C Holmes; Ann-Marie Mallon; Terrence F Meehan; Damian Smedley; Sara Wells
Journal:  Nat Rev Genet       Date:  2018-06       Impact factor: 53.242

7.  Reduced pachytene piRNAs and translation underlie spermiogenic arrest in Maelstrom mutant mice.

Authors:  Julio Castañeda; Pavol Genzor; Godfried W van der Heijden; Ali Sarkeshik; John R Yates; Nicholas T Ingolia; Alex Bortvin
Journal:  EMBO J       Date:  2014-07-25       Impact factor: 11.598

Review 8.  Probing human cardiovascular congenital disease using transgenic mouse models.

Authors:  Paige Snider; Simon J Conway
Journal:  Prog Mol Biol Transl Sci       Date:  2011       Impact factor: 3.622

9.  Local ancestry transitions modify snp-trait associations.

Authors:  Alexandra E Fish; Dana C Crawford; John A Capra; William S Bush
Journal:  Pac Symp Biocomput       Date:  2018

10.  Wash exhibits context-dependent phenotypes and, along with the WASH regulatory complex, regulates Drosophila oogenesis.

Authors:  Jeffrey M Verboon; Jacob R Decker; Mitsutoshi Nakamura; Susan M Parkhurst
Journal:  J Cell Sci       Date:  2018-04-13       Impact factor: 5.285

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