Genetic Confidence
Confidence in every strain
Strengthen reproducibility and reduce risk with monitoring designed for genetic precision.
Background control
Confirm strain purity across cohorts.
Speed congenics
Select breeders strategically to shorten backcrossing.
Cost-effective QC
High-resolution SNP testing at low cost.
Seamless integration
Add monitoring directly from your QuickOrder dashboard.
10,000+ SNPs tested across 200+ inbred strains.
Value Propositions
Ensure reproducible results
Confident discovery starts with genetic certainty. Genetic Monitoring is available on every genotyping sample, making it easy to verify genetic background whenever your research demands it.
Reduce hidden genetic risk
Uncontrolled genetic variation can quietly compromise your data. Ongoing monitoring helps you detect deviations early and maintain confidence in your colony’s genetic integrity.
Support reliable, published data
Standardized genetic verification strengthens transparency and reproducibility. As expectations increase across the scientific community, confirming strain and substrain backgrounds helps safeguard data quality and credibility.
High-resolution genetic insight
Powered by MiniMUGA, a research-developed array with over 10,000 SNP markers. This proven platform enables precise determination of genetic background across 241 inbred mouse strains.
I realized I have been setting up the crosses a lot faster, because I got the genotyping results a lot faster. Everything was in the system, so I knew exactly which mice to pull and which to cull. The Transnetyx Colony system made it very easy and it just became second nature. When you multiply this by strain, it adds up very quickly.
Boston Researcher
Our Process
Streamlined monitoring
Select samples
Choose directly from existing genotyping orders. No new sampling required.
Run MiniMUGA
Analyze ~10,000+ SNPs across autosomes, sex chromosomes, and diagnostic loci.
Review reports
Get allele calls, background mix, strains, and sub-strain detection.
Act with confidence
Use the data to guide breeding, confirm congenic lines, and refine study design.
Key Features
High-resolution data. Clear, actionable insights.
MiniMUGA SNP panel
~10,000+ markers across 200+ strains, including sex, substrains, and constructs
No new samples
Uses stored samples from genotyping runs
Speed congenics model
Reach congenic lines in as few as 5 generations
Contamination detection
Identify background shifts before they derail studies
Exportable reports
Clear tables, ideograms, and summaries for records or publications
Scalable for any study size
Easily expand monitoring across cohorts, strains, or facilities without added complexity
Trusted By Many
Proven by data. Trusted by scientists.
Validated in 50,000+ samples across diverse genetic backgrounds
Enhanced pipelines for marker annotation, deeper consensus calls, and anomaly detection
Referenced in peer-reviewed studies as critical for rigor and reproducibility
PubMed
Published papers
Cancer Models
Colorectal hyperplasia and inflammation in keratin 8-deficient FVB/N mice
Baribault et al., 1994 (GI tract)
ViewCancer Models
Genetic background controls tumor development in PTEN-deficient mice
Freeman et al. 2006 (prostate)
ViewCancer Models
Mouse models of cancer: does the strain matter?
Hunter KW 2012 (cancer review)
ViewCancer Models
Effects of genetic background on tumorigenesis in p53-deficient mice
Donehower et al., 1995 (lymphoma)
ViewCancer Models
Effects of FVB/NJ and C57Bl/6J strain backgrounds on mammary tumor phenotype in inducible nitric oxide synthase deficient mice
Davie et al., 2017 (mammary)
ViewCancer Models
Germline genetic variation modulates tumor progression and metastasis in a mouse model of neuroendocrine prostate carcinoma
Patel et al., 2016 (prostate)
ViewCancer Models
A resistant genetic background leading to incomplete penetrance of intestinal neoplasia and reduced loss of heterozygosity in ApcMin/+ mice
Shoemaker et al., 1998 (GI tract)
ViewCancer Models
Dissociation of epithelial and neuroendocrine carcinoma lineages in the transgenic adenocarcinoma of mouse prostate model of prostate cancer
Chiaverotti et al., 2008 (prostate)
ViewCancer Models
Immune status, strain background, and anatomic site of inoculation affect mouse papillomavirus (MmuPV1) induction of exophytic papillomas or endophytic trichoblastomas
Sundberg et al., 2014 (papilomas)
ViewCancer Models
Development of spontaneous mammary tumors in BALB/c p53 heterozygous mice. A model for Li-Fraumeni syndrome
Kuperwasser et al., 2000. (mammary)
ViewCancer Models
HCV tumor promoting effect is dependent on host genetic background
Klopstock et al., 2009 (liver)
ViewCancer Models
Generation of a C57BL/6 MYC-Driven Mouse Model and Cell Line of Prostate Cancer
Ellis et al., 2016 (prostate)
ViewCancer Models
Genetic background affects susceptibility to mammary hyperplasias and carcinomas in Apc(min)/+ mice
Moser et al., 2001 (mammary)
ViewCancer Models
PTEN deficiency is fully penetrant for prostate adenocarcinoma in C57BL/6 mice via mTOR-dependent growth
Blando et al., 2009 (prostate)
ViewCancer Models
Genetic analysis of intestinal polyp development in Collaborative Cross mice carrying the Apc (Min/+) mutation
Dorman et al., 2016 (GI tract)
ViewImmunology Models
Importance of Monitoring Genetic Background on Genetically Modified Mouse Colonies
Geurts, 2011
ViewImmunology Models
Variations in susceptibility to proteoglycan-induced arthritis and spondylitis among C3H substrains of mice: evidence of genetically acquired resistance to autoimmune disease
Glant et al., 2001 (arthritis)
ViewImmunology Models
Spontaneous autoimmunity in 129 and C57BL/6 mice-implications for autoimmunity described in gene-targeted mice
Bygrave et al., 2004 (SLE-lupus)
ViewImmunology Models
BALB/c mice genetically susceptible to proteoglycan-induced arthritis and spondylitis show colony-dependent differences in disease penetrance
Farkas et al., 2009 (arthritis)
ViewImmunology Models
C1q deficiency and autoimmunity: the effects of genetic background on disease expression
Mitchell et al., 2002 (autoimmunity)
ViewImmunology Models
Genetic dissection of spontaneous autoimmunity driven by 129-derived chromosome 1 Loci when expressed on C57BL/6 mice
Carlucci et al., 2007 (SLE-lupus)
ViewImmunology Models
Insufficiently Defined Genetic Background Confounds Phenotypes in Transgenic Studies As Exemplified by Malaria Infection in Tlr9 Knockout Mice
Geurts et al., 2011 (malaria)
ViewBiology Models
Targeted disruption of mouse EGF receptor: effect of genetic background on mutant phenotype
Threadgill et al., 1995 (EFGR pathway)
ViewBiology Models
Genetic modifiers of the phenotype of mice deficient in mitochondrial superoxide dismutase
Huang et al., 2006 (mitochondria)
ViewBiology Models
Effects of vendor and genetic background on the composition of the fecal microbiota of inbred mice
Ericsson et al., 2015 (microbiota)
ViewBiology Models
Genetic and behavioral differences among five inbred mouse strains commonly used in the production of transgenic and knockout mice
Bothe et al., 2004 (behavior)
ViewBiology Models
A spontaneous Cdt1 mutation in 129 mouse strains reveals a regulatory domain restraining replication licensing
Coulombe et al., 2016 (cell cycle)
ViewBiology Models
Extracellular superoxide dismutase polymorphism in mice
Pierce et al., 2003 (atherosclerosis)
ViewBiology Models
An animal model of type A cystinuria due to spontaneous mutation in 129S2/SvPasCrl mice
Livrozet et al., 2014 (cystinuria)
ViewBiology Models
Attention to Background Strain Is Essential for Metabolic Research: C57BL/6 and the International Knockout Mouse Consortium
Fontaine & Davis 2016 (diabetes review)
ViewHuman Disease Models
Disruption of the striated muscle glycogen-targeting subunit of protein phosphatase 1: influence of the genetic background
Paterson et al., 2008 (diabetes)
ViewHuman Disease Models
Strain-dependent brain defects in mouse models of primary ciliary dyskinesia with mutations in Pcdp1 and Spef2
Finn et al., 2014 (primary dyskinesia)
ViewHuman Disease Models
The mdx Mutation in the 129/Sv Background Results in a Milder Phenotype: Transcriptome Comparative Analysis Searching for the Protective Factors
Calyjur et al., 2016 (muscular dystrophy)
ViewHuman Disease Models
Genetic background modulates the phenotype of a mouse model of DYT1 dystonia
Tanabe et al., 2012 (dystonia)
ViewHuman Disease Models
Genetic Architecture of Atherosclerosis in Mice: A Systems Genetics Analysis of Common Inbred Strains
Bennett et al., 2015 (atherosclerosis)
ViewHuman Disease Models
Loss of Resistance to Angiotensin II-Induced Hypertension in the Jackson Laboratory Recombination-Activating Gene Null Mouse on the C57BL/6J Background
Ji et al., 2017 (hypertension)
ViewHuman Disease Models
Genetic background modulates behavioral impairments in R6/2 mice and suggests a role for dominant genetic modifiers in Huntington’s disease pathogenesis
Cowin et al., 2012 (Huntington's disease)
ViewHuman Disease Models
DBA/2J genetic background exacerbates spontaneous lethal seizures but lessens amyloid deposition in a mouse model of Alzheimer's disease
Jackson et al., 2015 (Alzheimer's disease)
ViewHuman Disease Models
Harnessing Genetic Complexity to Enhance Translatability of Alzheimer's Disease Mouse Models: A Path toward Precision Medicine
Neuner et al., 2019 (Alzheimer's disease)
ViewGeneral Reviews
Mutant mice and neuroscience: recommendations concerning genetic background. Banbury Conference on genetic background in mice
Banbury Conference 1997 (influence on GEM)
ViewGeneral Reviews
The influence of genetic background on spontaneous and genetically engineered mouse models of complex diseases
Linder CC 2001 (influence on GEM)
ViewGeneral Reviews
Attention to Background Strain Is Essential for Metabolic Research: C57BL/6 and the International Knockout Mouse Consortium
Fontaine et al., 2016 (C57BL/6 substrains)
ViewGeneral Reviews
Effect of the genetic background on the phenotype of mouse mutations
Montagutelli X 2000 (influence on phenotype)
ViewGeneral Reviews
Influence of Genetic Background on Genetically Engineered Mouse Phenotypes
Doetschman T 2009 (influence on GEM)
ViewGeneral Reviews
Genetic Background Limits Generalizability of Genotype-Phenotype Relationships
Sittig et al., 2016 (influence on phenotype)
ViewGeneral Reviews
Viewpoint: are studies in genetically altered mice out of control?
Sigmund CD 2000 (influence on GEM)
ViewGeneral Reviews
The blessings and curses of C57BL/6 substrains in mouse genetic studies
Bryant CD 2011 (C57BL/6 substrains)
ViewGeneral Reviews
Novel insights into the genetic background of genetically modified mice
Dobrowolski et al., 2018 (influence on GEM)
ViewGeneral Reviews
Parallel universes of Black Six biology
Kraev A 2014 (C57BL/6 substrains)
ViewOther Supporting Evidence
Read up on supporting evidence
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