ArticleGenetics2020
Content and Performance of the MiniMUGA Genotyping Array: A New Tool To Improve Rigor and Reproducibility in Mouse Research.
Article in Genetics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 72 papers.
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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.
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Who cites it
72 citing papers in PubMed, 107 citations in OpenAlex.
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- Trans-regulation of heterochromatin underlies genetic variation in 3D genome contacts in mouse embryonic stem cells.Genome biology · 2026Article
- Non-Mendelian inheritance of DNA methylation patterns in mice.Nature genetics · 2026Article
- Genetic mapping in collaborative cross mouse strains identifies loci that affect initial sensitivity to cocaine.Psychopharmacology · 2026Article
- Improve genetic quality control to increase rigor and reproducibility of mouse research.Science (New York, N.Y.) · 2026Article
- Deletion of 9p drives B-ALL through heterozygous inactivation of Pax5 and Cd72 in preleukemic cells.JCI insight · 2026Article
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- Substrain-specific behavioral variation in female C57BL/6 and C57BL/10 mice.Frontiers in behavioral neuroscience · 2026Article
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- Low-coverage whole-genome sequencing facilitates accurate and cost-effective haplotype reconstruction in complex mouse crosses.Mammalian genome : official journal of the International Mammalian Genome Society · 2025Article
- Cohousing or cross-fostering followed by cohousing does not normalize the microbiomes of genetically distinct adult mice.Cell reports · 2025Article
- The Validation of Antibodies Suitable for Flow Cytometric Analysis and Immunopeptidomics of Peptide-MHC Complexes in the Outbred Swiss Albino Mouse Strain.Methods and protocols · 2025Article
- Differential neuronal functions of LNX1 and LNX2 revealed by behavioural analysis in single and double knockout mice.Behavioral and brain functions : BBF · 2025Article
12 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
69 authors at 9 institutions in 1 country.
Funding
Abstract
The laboratory mouse is the most widely used animal model for biomedical research, due in part to its well-annotated genome, wealth of genetic resources, and the ability to precisely manipulate its genome. Despite the importance of genetics for mouse research, genetic quality control (QC) is not standardized, in part due to the lack of cost-effective, informative, and robust platforms. Genotyping arrays are standard tools for mouse research and remain an attractive alternative even in the era of high-throughput whole-genome sequencing. Here, we describe the content and performance of a new iteration of the Mouse Universal Genotyping Array (MUGA), MiniMUGA, an array-based genetic QC platform with over 11,000 probes. In addition to robust discrimination between most classical and wild-derived laboratory strains, MiniMUGA was designed to contain features not available in other platforms: (1) chromosomal sex determination, (2) discrimination between substrains from multiple commercial vendors, (3) diagnostic SNPs for popular laboratory strains, (4) detection of constructs used in genetically engineered mice, and (5) an easy-to-interpret report summarizing these results. In-depth annotation of all probes should facilitate custom analyses by individual researchers. To determine the performance of MiniMUGA, we genotyped 6899 samples from a wide variety of genetic backgrounds. The performance of MiniMUGA compares favorably with three previous iterations of the MUGA family of arrays, both in discrimination capabilities and robustness. We have generated publicly available consensus genotypes for 241 inbred strains including classical, wild-derived, and recombinant inbred lines. Here, we also report the detection of a substantial number of
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Registered trials
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.