ArticleMammalian genome : official journal of the International Mammalian Genome Society2008
Genotype X diet interactions in mice predisposed to mammary cancer. I. Body weight and fat.
Article in Mammalian genome : official journal of the International Mammalian Genome Society, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed, 21 citations in OpenAlex.
- Genotype-by-sex-by-diet interactions for nutritional preference, dietary consumption, and lipid deposition in a field cricket.Heredity · 2018Article
- Effects of a standard high-fat diet with or without multiple deficiencies on bone parameters in ovariectomized mature rat.PloS one · 2017Article
- Obesity and Cancer: An Angiogenic and Inflammatory Link.Microcirculation (New York, N.Y. : 1994) · 2016Review
- High-Fat, High-Calorie Diet Enhances Mammary Carcinogenesis and Local Inflammation in MMTV-PyMT Mouse Model of Breast Cancer.Cancers · 2015Article
- Interleukin-18 null mutation increases weight and food intake and reduces energy expenditure and lipid substrate utilization in high-fat diet fed mice.Brain, behavior, and immunity · 2014Article
- Article
- Exercise and diet affect quantitative trait loci for body weight and composition traits in an advanced intercross population of mice.Physiological genomics · 2012Article
- Epistatic Control of Mammary Cancer Susceptibility in Mice may Depend on the Dietary Environment.Hereditary genetics : current research · 2012Article
- Stitching together multiple data dimensions reveals interacting metabolomic and transcriptomic networks that modulate cell regulation.PLoS biology · 2012Article
- Sex-, diet-, and cancer-dependent epistatic effects on complex traits in mice.Frontiers in genetics · 2011Article
- Dietary fat-dependent transcriptional architecture and copy number alterations associated with modifiers of mammary cancer metastasis.Clinical & experimental metastasis · 2010Article
- Genetic resistance to diet-induced obesity in chromosome substitution strains of mice.Mammalian genome : official journal of the International Mammalian Genome Society · 2010Article
- Dietary fat alters pulmonary metastasis of mammary cancers through cancer autonomous and non-autonomous changes in gene expression.Clinical & experimental metastasis · 2010Article
- Genotype X diet interactions in mice predisposed to mammary cancer: II. Tumors and metastasis.Mammalian genome : official journal of the International Mammalian Genome Society · 2008Article
Corrections and comments
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Authors and funding
4 authors at 3 institutions in 2 countries.
Funding
Abstract
High dietary fat intake and obesity may increase susceptibility to certain forms of cancer. To study the interactions of dietary fat, obesity, and metastatic mammary cancer, we created a population of F(2) mice cosegregating obesity QTL and the MMTV-PyMT transgene. We fed the F(2) mice either a very-high-fat or a matched-control-fat diet and measured growth, body composition, age at mammary tumor onset, tumor number and severity, and formation of pulmonary metastases. SNP genotyping across the genome facilitated analyses of QTL and QTL x diet interaction effects. Here we describe development of the F(2) population (n = 615) which resulted from a cross between the polygenic obesity model M16i and FVB/NJ-TgN (MMTV-PyMT)(634Mul), effects of diet on growth and body composition, and QTL and QTL x diet and/or gender interaction effects for growth and obesity-related phenotypes. We identified 38 QTL for body composition traits that were significant at the genome-wide 0.05 level, likely representing nine distinct loci after accounting for pleiotropic effects. QTL x diet and/or gender interactions were present at 15 of these QTL, indicating that such interactions play a significant role in defining the genetic architecture of complex traits such as body weight and obesity.
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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.