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.
How it Works
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, and strain/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, sub-strains, 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)
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Cancer 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)
ViewOther Supporting Evidence
Read up on supporting evidence
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