Overlap of high-risk individuals predicted by family history, and genetic and non-genetic breast cancer risk prediction models: implications for risk stratification

• Main Authors: Ho, Peh Joo, Ho, Weang Kee, Khng, Alexis J, Yeoh, Yen Shing, Tan, Benita Kiat-Tee, Tan, Ern Yu, Lim, Geok Hoon, Tan, Su-Ming, Tan, Veronique Kiak Mien, Yip, Cheng-Har, Mohd-Taib, Nur-Aishah, Wong, Fuh Yong, Lim, Elaine Hsuen, Ngeow, Joanne, Chay, Wen Yee, Leong, Lester Chee Hao, Yong, Wei Sean, Seah, Chin Mui, Tang, Siau Wei, Ng, Celene Wei Qi, Yan, Zhiyan, Lee, Jung Ah, Rahmat, Kartini, Islam, Tania, Hassan, Tiara, Tai, Mei-Chee, Khor, Chiea Chuen, Yuan, Jian-Min, Koh, Woon-Puay, Sim, Xueling, Dunning, Alison M, Bolla, Manjeet K, Antoniou, Antonis C, Teo, Soo-Hwang, Li, Jingmei, Hartman, Mikael
• Other Authors: CENTRE FOR MOLECULAR EPIDEMIOLOGY
• Format: Article
• Language: English
• Published: BMC 2023
• Subjects: Science & Technology; Life Sciences & Biomedicine; Medicine, General & Internal; General & Internal Medicine; Breast cancer; Polygenic risk score; Gail model; Protein-truncating variants; Risk-based screening; MAMMOGRAPHY; ASSOCIATION; WOMEN
• Online Access: https://scholarbank.nus.edu.sg/handle/10635/237405
• Institution: National University of Singapore

10.1186/s12916-022-02334-z