Bibliographic Details
| Title: |
Overlap of high-risk individuals predicted by family history, and genetic and non-genetic breast cancer risk prediction models: implications for risk stratification |
| Authors: |
Peh Joo Ho, Weang Kee Ho, Alexis J. Khng, Yen Shing Yeoh, Benita Kiat-Tee Tan, Ern Yu Tan, Geok Hoon Lim, Su-Ming Tan, Veronique Kiak Mien Tan, Cheng-Har Yip, Nur-Aishah Mohd-Taib, Fuh Yong Wong, Elaine Hsuen Lim, Joanne Ngeow, Wen Yee Chay, Lester Chee Hao Leong, Wei Sean Yong, Chin Mui Seah, Siau Wei Tang, Celene Wei Qi Ng, Zhiyan Yan, Jung Ah Lee, Kartini Rahmat, Tania Islam, Tiara Hassan, Mei-Chee Tai, Chiea Chuen Khor, Jian-Min Yuan, Woon-Puay Koh, Xueling Sim, Alison M. Dunning, Manjeet K. Bolla, Antonis C. Antoniou, Soo-Hwang Teo, Jingmei Li, Mikael Hartman |
| Source: |
BMC Medicine, Vol 20, Iss 1, Pp 1-11 (2022) |
| Publisher Information: |
BMC, 2022. |
| Publication Year: |
2022 |
| Collection: |
LCC:Medicine |
| Subject Terms: |
Breast cancer, Polygenic risk score, Gail model, Protein-truncating variants, Risk-based screening, Medicine |
| More Details: |
Abstract Background Family history, and genetic and non-genetic risk factors can stratify women according to their individual risk of developing breast cancer. The extent of overlap between these risk predictors is not clear. Methods In this case-only analysis involving 7600 Asian breast cancer patients diagnosed between age 30 and 75 years, we examined identification of high-risk patients based on positive family history, the Gail model 5-year absolute risk [5yAR] above 1.3%, breast cancer predisposition genes (protein-truncating variants [PTV] in ATM, BRCA1, BRCA2, CHEK2, PALB2, BARD1, RAD51C, RAD51D, or TP53), and polygenic risk score (PRS) 5yAR above 1.3%. Results Correlation between 5yAR (at age of diagnosis) predicted by PRS and the Gail model was low (r=0.27). Fifty-three percent of breast cancer patients (n=4041) were considered high risk by one or more classification criteria. Positive family history, PTV carriership, PRS, or the Gail model identified 1247 (16%), 385 (5%), 2774 (36%), and 1592 (21%) patients who were considered at high risk, respectively. In a subset of 3227 women aged below 50 years, the four models studied identified 470 (15%), 213 (7%), 769 (24%), and 325 (10%) unique patients who were considered at high risk, respectively. For younger women, PRS and PTVs together identified 745 (59% of 1276) high-risk individuals who were not identified by the Gail model or family history. Conclusions Family history and genetic and non-genetic risk stratification tools have the potential to complement one another to identify women at high risk. |
| Document Type: |
article |
| File Description: |
electronic resource |
| Language: |
English |
| ISSN: |
1741-7015 |
| Relation: |
https://doaj.org/toc/1741-7015 |
| DOI: |
10.1186/s12916-022-02334-z |
| Access URL: |
https://doaj.org/article/a1cd5204e97c4a85a285a67209cba529 |
| Accession Number: |
edsdoj.1cd5204e97c4a85a285a67209cba529 |
| Database: |
Directory of Open Access Journals |
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