Genome-wide association for testis weight in the diversity outbred mouse population
Open accessAbstract
Testis weight is a genetically mediated trait associated with reproductive efficiency across numerous species. We sought to evaluate the genetically diverse, highly recombinant Diversity Outbred (DO) mouse population as a tool to identify and map quantitative trait loci (QTLs) associated with testis weight. Testis weights were recorded for 502 male DO mice and the mice were genotyped on the GIGAMuga array at ~ 143,000 SNPs. We performed a genome-wide association analysis and identified one significant and two suggestive QTLs associated with testis weight. Using bioinformatic approaches, we developed a list of candidate genes and identified those with known roles in testicular size and development. Candidates of particular interest include the RNA demethylase gene Alkbh5, the cyclin-dependent kinase inhibitor gene Cdkn2c, the dynein axonemal heavy chain gene Dnah11, the phospholipase D gene Pld6, the trans-acting transcription factor gene Sp4, and the spermatogenesis-associated gene Spata6, each of which has a human ortholog. Our results demonstrate the utility of DO mice in high-resolution genetic mapping of complex traits, enabling us to identify developmentally important genes in adult mice. Understanding how genetic variation in these genes influence testis weight could aid in the understanding of mechanisms of mammalian reproductive function.
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Rfx1 is a genetic modifier for IL-17A abundance in plasma.
“Therefore, our data suggest that Rfx1 is a genetic modi er for IL-17A plasma levels.”
From Identification of Genetic Variants Regulating the Abundance of Clinically Relevant Plasma Proteins using the Diversity Outbred Mouse Model (2021) · cites this paper as [28]
The Results (QTL analysis) and Discussion address genetic loci and candidate genes for testis weight, not plasma IL-17A levels. Searches for Rfx1, IL-17A, and their proposed relationship found no passage in our copy that addresses the claim; the indexed passages provide no page numbers. (LLM, conf=0.74)
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Advantages and pitfalls in the application of mixed-model association methods
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Assessing the Impact of Transgenerational Epigenetic Variation on Complex Traits
Johannes, F., Porcher, E., Teixeira, F. K., Saliba-Colombani, V., Simon, M., Agier, N., Bulski, A., Albuisson, J., Heredia, F., Audigier, P., et al. (2009) · PLoS Genetics · doi:10.1371/journal.pgen.1000530 · Cited by 814 · see citing works
Adjusting for Heritable Covariates Can Bias Effect Estimates in Genome-Wide Association Studies
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Philtjens, S., Acri, D. J., Kim, B., Kim, H., & Kim, J. (2021) · doi:10.21203/rs.3.rs-171899/v1 · Cited by 1 · see citing works
“Importantly, we demonstrated that fewer than 150 DO 146 mice are sufficient to identify statistically significant pQTL compared to the larger number 147 of DO mice used in previous studies [16, 17, 26-30].”
Result
- Authors
- Yuan, J. T., Gatti, D. M., Philip, V. M., Kasparek, S., Kreuzman, A. M., Mansky, B., Sharif, K., Taterra, D., Taylor, W. M., Thomas, M., Ward, J. O., Holmes, A., Chesler, E. J., & Parker, C. C.
- Affiliations
- Middlebury College (US)
- Jackson Laboratory (US)
- National Institutes of Health (US)
- Corresponding author
- Parker, Clarissa C.
- ORCID
- Venue
- Mammalian Genome
- Published
- 2018-04-24
- Volume
- 29
- Issue
- 5-6
- Pages
- 310-324
- ISSN
- 0938-8990 (ISSN-L)
- 1432-1777
- PMC
- PMC6396879
- OpenAlex
- W2801659070
- Cited by
- 15
- References
- 5
- Citations by year
- 2026: 2 · 2024: 1 · 2023: 4 · 2022: 2 · 2021: 3 · 2020: 2 · 2019: 1
- FWCI
- 0.92
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Mammalian Genome (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- The Mouseion at the JAXlibrary (Jackson Laboratory) (submittedVersion)
- Funders
- National Institute of General Medical Sciences (P20-GM-103449)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Mapping and Diversity in Plants and Animals
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic and phenotypic traits in livestock
- Health Sciences › Medicine › Reproductive Medicine › Sperm and Testicular Function
- Keywords
- testicular weight, Diversity Outbred mice, quantitative trait loci, genome-wide association study, candidate genes, testicular development, reproductive performance, ALKBH5, CDKN2C, DNAH11, Sp4, spermatogenesis, gene mapping
- MeSH terms
- Animals, Chromosome Mapping, Genetics, Population, Genotype, Genetic Linkage, Male, Organ Size, Phenotype, Testis, Genetic Variation, Computational Biology, Animals, Outbred Strains, Quantitative Trait Loci, Mice, Genome-Wide Association Study
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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