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The role of polygenic risk and susceptibility genes in breast cancer over the course of life.多基因风险和易感基因在乳腺癌一生中的作用。
Nat Commun. 2020 Dec 14;11(1):6383. doi: 10.1038/s41467-020-19966-5.
2
Personalizing Breast Cancer Screening Based on Polygenic Risk and Family History.基于多基因风险和家族史的个体化乳腺癌筛查。
J Natl Cancer Inst. 2021 Apr 6;113(4):434-442. doi: 10.1093/jnci/djaa127.
3
Polygenic risk scores and breast and epithelial ovarian cancer risks for carriers of BRCA1 and BRCA2 pathogenic variants.多基因风险评分与携带 BRCA1 和 BRCA2 致病性变异的个体的乳腺癌和上皮性卵巢癌风险。
Genet Med. 2020 Oct;22(10):1653-1666. doi: 10.1038/s41436-020-0862-x. Epub 2020 Jul 15.
4
Assessment of polygenic architecture and risk prediction based on common variants across fourteen cancers.基于 14 种癌症常见变异的多基因结构评估和风险预测。
Nat Commun. 2020 Jul 3;11(1):3353. doi: 10.1038/s41467-020-16483-3.
5
Association of a Polygenic Risk Score With Breast Cancer Among Women Carriers of High- and Moderate-Risk Breast Cancer Genes.多基因风险评分与携带高风险和中风险乳腺癌基因的女性乳腺癌的相关性研究。
JAMA Netw Open. 2020 Jul 1;3(7):e208501. doi: 10.1001/jamanetworkopen.2020.8501.
6
Contribution of Germline Predisposition Gene Mutations to Breast Cancer Risk in African American Women.胚系易感性基因突变对非裔美国女性乳腺癌风险的贡献。
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A Polygenic Risk Score for Breast Cancer in US Latinas and Latin American Women.用于美国拉丁裔和拉丁美洲女性乳腺癌的多基因风险评分。
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Comparative Validation of Breast Cancer Risk Prediction Models and Projections for Future Risk Stratification.比较乳腺癌风险预测模型的验证及对未来风险分层的预测。
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Germline Genetic Testing for Breast Cancer Risk: The Past, Present, and Future.乳腺癌风险的生殖系基因检测:过去、现在与未来
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10
Clinical use of current polygenic risk scores may exacerbate health disparities.现行多基因风险评分的临床应用可能会加剧健康差异。
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携带乳腺癌易感基因致病性变异的个体患乳腺癌的风险因多基因风险评分而异。

Risk of Breast Cancer Among Carriers of Pathogenic Variants in Breast Cancer Predisposition Genes Varies by Polygenic Risk Score.

机构信息

Harvard T.H. Chan School of Public Health, Boston, MA.

Mayo Clinic, Rochester, MN.

出版信息

J Clin Oncol. 2021 Aug 10;39(23):2564-2573. doi: 10.1200/JCO.20.01992. Epub 2021 Jun 8.

DOI:10.1200/JCO.20.01992
PMID:34101481
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8330969/
Abstract

PURPOSE

This study assessed the joint association of pathogenic variants (PVs) in breast cancer (BC) predisposition genes and polygenic risk scores (PRS) with BC in the general population.

METHODS

A total of 26,798 non-Hispanic white BC cases and 26,127 controls from predominately population-based studies in the Cancer Risk Estimates Related to Susceptibility consortium were evaluated for PVs in , , , , , , , , and . PRS based on 105 common variants were created using effect estimates from BC genome-wide association studies; the performance of an overall BC PRS and estrogen receptor-specific PRS were evaluated. The odds of BC based on the PVs and PRS were estimated using penalized logistic regression. The results were combined with age-specific incidence rates to estimate 5-year and lifetime absolute risks of BC across percentiles of PRS by PV status and first-degree family history of BC.

RESULTS

The estimated lifetime risks of BC among general-population noncarriers, based on 10th and 90th percentiles of PRS, were 9.1%-23.9% and 6.7%-18.2% for women with or without first-degree relatives with BC, respectively. Taking PRS into account, more than 95% of , , and carriers had > 20% lifetime risks of BC, whereas, respectively, 52.5% and 69.7% of and carriers without first-degree relatives with BC, and 78.8% and 89.9% of those with a first-degree relative with BC had > 20% risk.

CONCLUSION

PRS facilitates personalization of BC risk among carriers of PVs in predisposition genes. Incorporating PRS into BC risk estimation may help identify > 30% of and nearly half of carriers below the 20% lifetime risk threshold, suggesting the addition of PRS may prevent overscreening and enable more personalized risk management approaches.

摘要

目的

本研究评估了乳腺癌(BC)易感基因中的致病性变异(PVs)和多基因风险评分(PRS)与普通人群中 BC 的联合关联。

方法

在癌症风险估计相关易感性联盟中,共有 26798 例非西班牙裔白人 BC 病例和 26127 例对照来自主要基于人群的研究,评估了 、 、 、 、 、 、 和 中 PVs 的情况。基于 105 个常见变异的 PRS 是使用来自 BC 全基因组关联研究的效应估计值创建的;评估了整体 BC PRS 和雌激素受体特异性 PRS 的性能。使用 penalized logistic regression 估计基于 PV 和 PRS 的 BC 发生几率。将结果与年龄特异性发病率相结合,以估计按 PV 状态和一级亲属 BC 家族史划分的 PRS 百分位数的 BC 5 年和终生绝对风险。

结果

在普通人群非携带者中,基于 PRS 的第 10 和第 90 百分位数,一级亲属中无或有 BC 的女性的 BC 终生风险估计分别为 9.1%-23.9%和 6.7%-18.2%。考虑到 PRS,超过 95%的 、 、 和 携带者的 BC 终生风险>20%,而一级亲属中无 BC 的 、 和 携带者分别有 52.5%和 69.7%、一级亲属中有 BC 的携带者分别有 78.8%和 89.9%的风险>20%。

结论

PRS 有助于对易感基因中 PVs 携带者的 BC 风险进行个体化。将 PRS 纳入 BC 风险评估中可能有助于识别>30%的 、 携带者和近一半的一级亲属中无 BC 的 携带者,其风险>20%,这表明添加 PRS 可能有助于避免过度筛查,并实现更个性化的风险管理方法。