SNPs and breast cancer risk prediction for African American and Hispanic women.
SNPs and breast cancer risk prediction for African American and Hispanic women.
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DOI：
10.1007/s10549-015-3641-7
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发表时间：
2015-12
影响因子：
3.8
通讯作者：
Kooperberg C
中科院分区：
文献类型：
--
作者：
Allman R;Dite GS;Hopper JL;Gordon O;Starlard-Davenport A;Chlebowski R;Kooperberg C
对于非裔美国人或西班牙裔女性来说，通过包括易感性单核苷酸多态(SNPs)信息来改善临床乳腺癌风险预测模型的程度尚不清楚，尽管这些女性在美国人口中所占比例越来越大，在世界人口中占很大比例。我们研究了7539名非洲裔美国女性和3363名西班牙裔女性，这些女性来自妇女健康倡议。来自BCRAT和IBIS风险预测模型的年龄调整后的5年风险被测量，并与基于>；70个独立易感SNPs的风险评分相结合。对年龄组进行调整的Logistic回归被用来估计经对数转换的年龄调整后的5年风险的风险关联。判别率由每标准差的优势比(OR)和受试者操作曲线下面积(AUC)来衡量。单独考虑时，非裔美国女性的OR值为1.28(BCRAT)和1.04(IBIS)。当结合SNP风险评分(OR1.23)时，相应的OR值分别为1.39和1.22。对于西班牙裔女性，BCRAT和IBIS的相应OR分别为1.25和1.15。当结合SNP风险评分(OR1.39)时，相应的OR值分别为1.48和1.42。没有证据表明，这些组合模型中有任何一个没有得到很好的校准。包括已知乳腺癌易感基因的信息，在使用BCRAT对非裔美国人和拉美裔美国人进行风险预测方面，分别提高了约10%和19%。IBIS的相应数字分别约为18%和26%。本文的在线版本(doi：10.1007/s10549-0153641-7)包含补充材料，授权用户可以使用。
For African American or Hispanic women, the extent to which clinical breast cancer risk prediction models are improved by including information on susceptibility single nucleotide polymorphisms (SNPs) is unknown, even though these women comprise increasing proportions of the US population and represent a large proportion of the world’s population. We studied 7539 African American and 3363 Hispanic women from the Women’s Health Initiative. The age-adjusted 5-year risks from the BCRAT and IBIS risk prediction models were measured and combined with a risk score based on >70 independent susceptibility SNPs. Logistic regression, adjusting for age group, was used to estimate risk associations with log-transformed age-adjusted 5-year risks. Discrimination was measured by the odds ratio (OR) per standard deviation (SD) and the area under the receiver operator curve (AUC). When considered alone, the ORs for African American women were 1.28 for BCRAT, and 1.04 for IBIS. When combined with the SNP risk score (OR 1.23), the corresponding ORs were 1.39 and 1.22. For Hispanic women the corresponding ORs were 1.25 for BCRAT, and 1.15 for IBIS. When combined with the SNP risk score (OR 1.39), the corresponding ORs were 1.48 and 1.42. There was no evidence that any of the combined models were not well calibrated. Including information on known breast cancer susceptibility loci provides approximately 10 and 19 % improvement in risk prediction using BCRAT for African Americans and Hispanics, respectively. The corresponding figures for IBIS are approximately 18 and 26 %, respectively. The online version of this article (doi:10.1007/s10549-015-3641-7) contains supplementary material, which is available to authorized users.