Content and Performance of the MiniMUGA Genotyping Array: A New Tool To Improve Rigor and Reproducibility in Mouse Research. Issue 4 (1st December 2020)
- Record Type:
- Journal Article
- Title:
- Content and Performance of the MiniMUGA Genotyping Array: A New Tool To Improve Rigor and Reproducibility in Mouse Research. Issue 4 (1st December 2020)
- Main Title:
- Content and Performance of the MiniMUGA Genotyping Array: A New Tool To Improve Rigor and Reproducibility in Mouse Research
- Authors:
- Sigmon, John Sebastian
Blanchard, Matthew W
Baric, Ralph S
Bell, Timothy A
Brennan, Jennifer
Brockmann, Gudrun A
Burks, A Wesley
Calabrese, J Mauro
Caron, Kathleen M
Cheney, Richard E
Ciavatta, Dominic
Conlon, Frank
Darr, David B
Faber, James
Franklin, Craig
Gershon, Timothy R
Gralinski, Lisa
Gu, Bin
Gaines, Christiann H
Hagan, Robert S
Heimsath, Ernest G
Heise, Mark T
Hock, Pablo
Ideraabdullah, Folami
Jennette, J Charles
Kafri, Tal
Kashfeen, Anwica
Kulis, Mike
Kumar, Vivek
Linnertz, Colton
Livraghi-Butrico, Alessandra
Lloyd, K C Kent
Lutz, Cathleen
Lynch, Rachel M
Magnuson, Terry
Matsushima, Glenn K
McMullan, Rachel
Miller, Darla R
Mohlke, Karen L
Moy, Sheryl S
Murphy, Caroline E Y
Najarian, Maya
O'Brien, Lori
Palmer, Abraham A
Philpot, Benjamin D
Randell, Scott H
Reinholdt, Laura
Ren, Yuyu
Rockwood, Steve
Rogala, Allison R
Saraswatula, Avani
Sassetti, Christopher M
Schisler, Jonathan C
Schoenrock, Sarah A
Shaw, Ginger D
Shorter, John R
Smith, Clare M
St. Pierre, Celine L
Tarantino, Lisa M
Threadgill, David W
Valdar, William
Vilen, Barbara J
Wardwell, Keegan
Whitmire, Jason K
Williams, Lucy
Zylka, Mark J
Ferris, Martin T
McMillan, Leonard
Manuel de Villena, Fernando Pardo
… (more) - Abstract:
- 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 familyAbstract: 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 X O and XXY individuals across a variety of sample types, new markers that expand the utility of reduced complexity crosses to genetic backgrounds other than C57BL/6, and the robust detection of 17 genetic constructs. We provide preliminary evidence that the array can be used to identify both partial sex chromosome duplication and mosaicism, and that diagnostic SNPs can be used to determine how long inbred mice have been bred independently from the relevant main stock. We conclude that MiniMUGA is a valuable platform for genetic QC, and an important new tool to increase the rigor and reproducibility of mouse research. … (more)
- Is Part Of:
- Genetics. Volume 216:Issue 4(2020)
- Journal:
- Genetics
- Issue:
- Volume 216:Issue 4(2020)
- Issue Display:
- Volume 216, Issue 4 (2020)
- Year:
- 2020
- Volume:
- 216
- Issue:
- 4
- Issue Sort Value:
- 2020-0216-0004-0000
- Page Start:
- 905
- Page End:
- 930
- Publication Date:
- 2020-12-01
- Subjects:
- genetic QC -- genetic background -- substrains -- chromosomal sex -- genetic constructs -- diagnostic SNPs
Genetics -- Periodicals
576.5 - Journal URLs:
- http://www.oxfordjournals.org/ ↗
- DOI:
- 10.1534/genetics.120.303596 ↗
- Languages:
- English
- ISSNs:
- 0016-6731
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
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- 22458.xml