ArticleMammalian genome : official journal of the International Mammalian Genome Society2015
In-silico QTL mapping of postpubertal mammary ductal development in the mouse uncovers potential human breast cancer risk loci.
Article in Mammalian genome : official journal of the International Mammalian Genome Society, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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10 citing papers in PubMed, 16 citations in OpenAlex.
- Suppression of hypothalamic oestrogenic signal sustains hyperprolactinemia and metabolic adaptation in lactating mice.Nature metabolism · 2025Article
- Single-Cell Transcription Mapping of Murine and Human Mammary Organoids Responses to Female Hormones.Journal of mammary gland biology and neoplasia · 2024Article
- Development of the mammary glands and its regulation: how not all species are equal.Animal frontiers : the review magazine of animal agriculture · 2023Article
- Phosphotungstic acid-enhanced microcomputed tomography for quantitative visualization of mouse mammary gland morphology.Journal of medical imaging (Bellingham, Wash.) · 2023Article
- In silico mapping of quantitative trait loci (QTL) regulating the milk ionome in mice identifies a milk iron locus on chromosome 1.Mammalian genome : official journal of the International Mammalian Genome Society · 2018Article
- Genetic variation in sensitivity to estrogens and breast cancer risk.Mammalian genome : official journal of the International Mammalian Genome Society · 2018Review
- TRIENNIAL LACTATION SYMPOSIUM/BOLFA: Dietary regulation of allometric ductal growth in the mammary glands.Journal of animal science · 2017Review
- Loss of glutaredoxin 3 impedes mammary lobuloalveolar development during pregnancy and lactation.American journal of physiology. Endocrinology and metabolism · 2017Article
- Genome-Wide Association Mapping for Female Infertility in Inbred Mice.G3 (Bethesda, Md.) · 2016Article
- A Geometrically-Constrained Mathematical Model of Mammary Gland Ductal Elongation Reveals Novel Cellular Dynamics within the Terminal End Bud.PLoS computational biology · 2016Article
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Authors and funding
9 authors at 5 institutions in 2 countries.
Funding
Abstract
Genetic background plays a dominant role in mammary gland development and breast cancer (BrCa). Despite this, the role of genetics is only partially understood. This study used strain-dependent variation in an inbred mouse mapping panel, to identify quantitative trait loci (QTL) underlying structural variation in mammary ductal development, and determined if these QTL correlated with genomic intervals conferring BrCa susceptibility in humans. For about half of the traits, developmental variation among the complete set of strains in this study was greater (P < 0.05) than that of previously studied strains, or strains in current common use for mammary gland biology. Correlations were also detected with previously reported variation in mammary tumor latency and metastasis. In-silico genome-wide association identified 20 mammary development QTL (Mdq). Of these, five were syntenic with previously reported human BrCa loci. The most significant (P = 1 × 10(-11)) association of the study was on MMU6 and contained the genes Plxna4, Plxna4os1, and Chchd3. On MMU5, a QTL was detected (P = 8 × 10(-7)) that was syntenic to a human BrCa locus on h12q24.5 containing the genes Tbx3 and Tbx5. Intersection of linked SNP (r(2) > 0.8) with genomic and epigenomic features, and intersection of candidate genes with gene expression and survival data from human BrCa highlighted several for further study. These results support the conclusion that mammary tumorigenesis and normal ductal development are influenced by common genetic factors and that further studies of genetically diverse mice can improve our understanding of BrCa in humans.
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