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首页> 外文期刊>Breast Cancer Research >Assessing interactions between the associations of common genetic susceptibility variants, reproductive history and body mass index with breast cancer risk in the breast cancer association consortium: a combined case-control study
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Assessing interactions between the associations of common genetic susceptibility variants, reproductive history and body mass index with breast cancer risk in the breast cancer association consortium: a combined case-control study

机译：在乳腺癌协会联合会中评估常见遗传易感性变异，生殖史和体重指数与乳腺癌风险之间的相互作用：病例对照研究

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IntroductionSeveral common breast cancer genetic susceptibility variants have recently been identified. We aimed to determine how these variants combine with a subset of other known risk factors to influence breast cancer risk in white women of European ancestry using case-control studies participating in the Breast Cancer Association Consortium.MethodsWe evaluated two-way interactions between each of age at menarche, ever having had a live birth, number of live births, age at first birth and body mass index (BMI) and each of 12 single nucleotide polymorphisms (SNPs) (10q26-rs2981582 (FGFR2), 8q24-rs13281615, 11p15-rs3817198 (LSP1), 5q11-rs889312 (MAP3K1), 16q12-rs3803662 (TOX3), 2q35-rs13387042, 5p12-rs10941679 (MRPS30), 17q23-rs6504950 (COX11), 3p24-rs4973768 (SLC4A7), CASP8-rs17468277, TGFB1-rs1982073 and ESR1-rs3020314). Interactions were tested for by fitting logistic regression models including per-allele and linear trend main effects for SNPs and risk factors, respectively, and single-parameter interaction terms for linear departure from independent multiplicative effects.ResultsThese analyses were applied to data for up to 26,349 invasive breast cancer cases and up to 32,208 controls from 21 case-control studies. No statistical evidence of interaction was observed beyond that expected by chance. Analyses were repeated using data from 11 population-based studies, and results were very similar.ConclusionsThe relative risks for breast cancer associated with the common susceptibility variants identified to date do not appear to vary across women with different reproductive histories or body mass index (BMI). The assumption of multiplicative combined effects for these established genetic and other risk factors in risk prediction models appears justified.
机译：引言最近发现了几种常见的乳腺癌遗传易感性变异。我们旨在通过参与乳腺癌协会联合会的病例对照研究来确定这些变异体如何与其他已知风险因素子集结合以影响欧洲裔白人女性的乳腺癌风险。方法我们评估了各个年龄段之间的双向相互作用在初潮时，曾经有过活产，活产数量，初生年龄和体重指数（BMI）以及12种单核苷酸多态性（SNP）（10q26-rs2981582（FGFR2），8q24-rs13281615、11p15- rs3817198（LSP1），5q11-rs889312（MAP3K1），16q12-rs3803662（TOX3），2q35-rs13387042、5p12-rs10941679（MRPS30），17q23-rs6504950（COX11），3p24-rs4973768（SLC4A7），CASP8TG-RS17468 rs1982073和ESR1-rs3020314）。通过拟合logistic回归模型测试交互作用，包括分别对SNP和风险因素的等位基因和线性趋势主效应以及对独立于乘性效应的线性偏离的单参数交互项。结果这些分析适用于数据多达26,349侵袭性乳腺癌病例和来自21个病例对照研究的多达32,208名对照。除了偶然的预期之外，没有观察到相互作用的统计证据。使用来自11项基于人群的研究的数据进行了重复分析，结果非常相似。结论迄今为止，在不同生育史或体重指数（BMI）的女性中，与常见易感性变量相关的乳腺癌相对风险似乎没有差异。 ）。在风险预测模型中对这些已确定的遗传因素和其他风险因素进行乘法组合效应的假设似乎是合理的。

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