Prospective evaluation of a breast-cancer risk model integrating classical risk factors and polygenic risk in 15 cohorts from six countries

Rigorous evaluation of the calibration and discrimination of breast-cancer risk-prediction models in prospective cohorts is critical for applications under clinical guidelines. We comprehensively evaluated an integrated model incorporating classical risk factors and a 313-variant polygenic risk scor...

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Veröffentlicht in:International journal of epidemiology 2022-01, Vol.50 (6), p.1897-1911
Hauptverfasser: Hurson, Amber N, Pal Choudhury, Parichoy, Gao, Chi, Hüsing, Anika, Eriksson, Mikael, Shi, Min, Jones, Michael E, Evans, D Gareth R, Milne, Roger L, Gaudet, Mia M, Vachon, Celine M, Chasman, Daniel I, Easton, Douglas F, Schmidt, Marjanka K, Kraft, Peter, Garcia-Closas, Montserrat, Chatterjee, Nilanjan
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Sprache:eng
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Zusammenfassung:Rigorous evaluation of the calibration and discrimination of breast-cancer risk-prediction models in prospective cohorts is critical for applications under clinical guidelines. We comprehensively evaluated an integrated model incorporating classical risk factors and a 313-variant polygenic risk score (PRS) to predict breast-cancer risk. Fifteen prospective cohorts from six countries with 239 340 women (7646 incident breast-cancer cases) of European ancestry aged 19-75 years were included. Calibration of 5-year risk was assessed by comparing expected and observed proportions of cases overall and within risk categories. Risk stratification for women of European ancestry aged 50-70 years in those countries was evaluated by the proportion of women and future cases crossing clinically relevant risk thresholds. Among women
ISSN:0300-5771
1464-3685
DOI:10.1093/ije/dyab036