A two-stage approach to genetic risk assessment in primary care

被引:0
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作者
Swati Biswas
Philamer Atienza
Jonathan Chipman
Amanda L. Blackford
Banu Arun
Kevin Hughes
Giovanni Parmigiani
机构
[1] University of Texas at Dallas,Department of Mathematical Sciences
[2] University of North Texas Health Science Center,Department of Biostatistics, School of Public Health
[3] Vanderbilt School of Medicine,Department of Biostatistics
[4] Johns Hopkins University,Division of Biostatistics and Bioinformatics, School of Medicine
[5] University of Texas M.D. Anderson Cancer Center,Department of Breast Medical Oncology and Clinical Cancer Genetics
[6] Massachusetts General Hospital and Harvard School of Medicine,Department of Biostatistics and Computational Biology
[7] Dana Farber Cancer Institute,Department of Biostatistics
[8] Harvard School of Public Health,undefined
来源
关键词
BRCA1; BRCA2; BRCAPRO; BayesMendel; CancerGene;
D O I
暂无
中图分类号
学科分类号
摘要
Genetic risk prediction models such as BRCAPRO are used routinely in genetic counseling for identification of potential BRCA1 and BRCA2 mutation carriers. They require extensive information on the counselee and her family history, and thus are not practical for primary care. To address this gap, we develop and test a two-stage approach to genetic risk assessment by balancing the tradeoff between the amount of information used and accuracy achieved. The first stage is intended for primary care wherein limited information is collected and analyzed using a simplified version of BRCAPRO. If the assessed risk is sufficiently high, more extensive information is collected and the full BRCAPRO is used (stage two: intended for genetic counseling). We consider three first-stage tools: BRCAPROLYTE, BRCAPROLYTE-Plus, and BRCAPROLYTE-Simple. We evaluate the two-stage approach on independent clinical data on probands with family history of breast and ovarian cancers, and BRCA genetic test results. These include population-based data on 1344 probands from Newton-Wellesley Hospital and mostly high-risk family data on 2713 probands from Cancer Genetics Network and MD Anderson Cancer Center. We use discrimination and calibration measures, appropriately modified to evaluate the overall performance of a two-stage approach. We find that the proposed two-stage approach has very limited loss of discrimination and comparable calibration as BRCAPRO. It identifies a similar number of carriers without requiring a full family history evaluation on all probands. We conclude that the two-stage approach allows for practical large-scale genetic risk assessment in primary care.
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页码:375 / 383
页数:8
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