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Genetic variants associated with breast cancer risk for Ashkenazi Jewish women with strong family histories but no identifiable BRCA1/2 mutation

机译:具有家族史但无可识别的BRCA1 / 2突变的Ashkenazi犹太妇女罹患乳腺癌风险的遗传变异

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The ability to establish genetic risk models is critical for early identification and optimal treatment of breast cancer. For such a model to gain clinical utility, more variants must be identified beyond those discovered in previous genome-wide association studies (GWAS). This is especially true for women at high risk because of family history, but without BRCA1/2 mutations. This study incorporates three datasets in a GWAS analysis of women with Ashkenazi Jewish (AJ) homogeneous ancestry. Two independent discovery cohorts comprised 239 and 238 AJ women with invasive breast cancer or preinvasive ductal carcinoma in situ and strong family histories of breast cancer, but lacking the three BRCA1/2 founder mutations, along with 294 and 230 AJ controls, respectively. An independent, third cohort of 203 AJ cases with familial breast cancer history and 263 healthy controls of AJ women was used for validation. A total of 19 SNPs were identified as associated with familial breast cancer risk in AJ women. Among these SNPs, 13 were identified from a panel of 109 discovery SNPs, including an FGFR2 haplotype. In addition, six previously identified breast cancer GWAS SNPs were confirmed in this population. Seven of the 19 markers were significant in a multivariate predictive model of familial breast cancer in AJ women, three novel SNPs [rs17663555(5q13.2), rs566164(6q21), and rs11075884(16q22.2)], the FGFR2 haplotype, and three previously published SNPs [rs13387042(2q35), rs2046210(ESR1), and rs3112612(TOX3)], yielding moderate predictive power with an area under the curve (AUC) of the ROC (receiver-operator characteristic curve) of 0.74. Population-specific genetic variants in addition to variants shared with populations of European ancestry may improve breast cancer risk prediction among AJ women from high-risk families without founder BRCA1/2 mutations.
机译:建立遗传风险模型的能力对于乳腺癌的早期识别和最佳治疗至关重要。为了使这种模型获得临床实用性,除了以前的全基因组关联研究(GWAS)中发现的变体以外,还必须确定更多的变体。对于因家族病史而没有BRCA1 / 2突变的高危女性尤其如此。这项研究在具有Ashkenazi犹太(AJ)同质血统的女性的GWAS分析中纳入了三个数据集。两个独立的发现队列包括239和238位患有浸润性乳腺癌或原位浸润性导管癌的AJ妇女,有很强的乳腺癌家族史,但缺乏三个BRCA1 / 2创建者突变,分别有294位和230位AJ对照。 203名具有家族性乳腺癌史的AJ患者和263名AJ妇女的健康对照者进行了独立的第三队列研究。在AJ妇女中,总共鉴定出19个SNP与家族性乳腺癌风险相关。在这些SNP中,从109个发现的SNP(包括FGFR2单倍型)中鉴定出13个。此外,在该人群中确认了六个先前确定的乳腺癌GWAS SNP。 19种标记中的7种在AJ妇女的家族性乳腺癌多变量预测模型,三个新的SNP [rs17663555(5q13.2),rs566164(6q21)和rs11075884(16q22.2)],FGFR2单倍型和三个先前发布的SNP [rs13387042(2q35),rs2046210(ESR1)和rs3112612(TOX3)]产生了适度的预测能力,ROC曲线下的面积(AUC)(接收器-操作员特征曲线)为0.74。除了与欧洲血统的人群共有的变异以外,特定于人群的遗传变异还可以改善没有建立者BRCA1 / 2突变的高危家庭AJ妇女的乳腺癌风险预测。

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