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易患乳腺癌小鼠的基因型与饮食相互作用。I. 体重与脂肪。

Genotype X diet interactions in mice predisposed to mammary cancer. I. Body weight and fat.

作者信息

Gordon Ryan R, Hunter Kent W, Sørensen Peter, Pomp Daniel

机构信息

Department of Nutrition, University of North Carolina, Chapel Hill, NC 27599, USA.

出版信息

Mamm Genome. 2008 Mar;19(3):163-78. doi: 10.1007/s00335-008-9095-z. Epub 2008 Feb 20.

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.

摘要

高膳食脂肪摄入量和肥胖可能会增加患某些癌症的易感性。为了研究膳食脂肪、肥胖与转移性乳腺癌之间的相互作用,我们培育了一群共分离肥胖数量性状基因座(QTL)和MMTV-PyMT转基因的F(2)小鼠。我们给F(2)小鼠喂食高脂肪或与之匹配的对照脂肪饮食,并测量其生长、身体组成、乳腺肿瘤发病年龄、肿瘤数量和严重程度以及肺转移的形成。全基因组单核苷酸多态性(SNP)基因分型有助于分析QTL以及QTL与饮食的相互作用效应。在此,我们描述了由多基因肥胖模型M16i与FVB/NJ-TgN(MMTV-PyMT)(634Mul)杂交产生的F(2)群体(n = 615)的发育情况、饮食对生长和身体组成的影响,以及生长和肥胖相关表型的QTL、QTL与饮食和/或性别的相互作用效应。我们鉴定出38个在全基因组0.05水平上显著的身体组成性状QTL,在考虑多效性效应后,可能代表9个不同的基因座。这些QTL中有15个存在QTL与饮食和/或性别的相互作用,表明这种相互作用在定义体重和肥胖等复杂性状的遗传结构中起着重要作用。

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