Antonis C. Antoniou - Epidemiology

Author Information

Antonis C. Antoniou is affiliated with the Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, The Strangeways Research Laboratory, University of Cambridge, Cambridge, UK. His work primarily focuses on genetic epidemiology, particularly in relation to cancer risk prediction and modeling.

Research Contributions

Antonis C. Antoniou has made significant contributions to the field of cancer genetic epidemiology. His research involves developing and enhancing cancer risk prediction models, particularly for breast and ovarian cancers. He has published extensively on topics such as BRCA1 and BRCA2 mutations, polygenic risk scores, and the integration of genetic and non-genetic factors in risk prediction models. His work aims to improve early cancer detection and personalized risk assessment.

Aliases

Antonis C. Antoniou is also known by several aliases, including A. C. Antoniou, A. Antoniou, Antonis Antoniou, A.c. Antoniou, and Antonis C Antoniou.

Publication and Citation Metrics

Metric	Value
Citation Count	32,839
h-index	85
Paper Count	425

Publications:

Predicting the Likelihood of Carrying a BRCA1 or BRCA2 Mutation in Asian Patients With Breast Cancer.

DOI: 10.1200/JCO.21.01647

Year: 2022

Enhancing the BOADICEA cancer risk prediction model to incorporate new data on RAD51C, RAD51D, BARD1, updates to tumour pathology and cancer incidences.

DOI: 10.1101/2022.01.27.22269825

Year: 2022

Correction: Polygenic risk modeling for prediction of epithelial ovarian cancer risk.

DOI: 10.1038/s41431-022-01085-y

Year: 2022

The future of early cancer detection.

DOI: 10.1038/s41591-022-01746-x

Year: 2022

Oral Contraceptive Use in BRCA1 and BRCA2 Mutation Carriers: Absolute Cancer Risks and Benefits

DOI: 10.1093/jnci/djac004

Year: 2022

Unselected Population Genetic Testing for Personalised Ovarian Cancer Risk Prediction: A Qualitative Study Using Semi-Structured Interviews

DOI: 10.3390/diagnostics12051028

Year: 2022

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

DOI: 10.1186/s12916-022-02334-z

Year: 2022

Cancer Risks Associated With BRCA1 and BRCA2 Pathogenic Variants.

DOI: 10.1200/JCO.21.02112

Year: 2022

Polygenic risk modeling for prediction of epithelial ovarian cancer risk

DOI: 10.1038/s41431-021-00987-7

Year: 2022

Prospective Evaluation of the Addition of Polygenic Risk Scores to Breast Cancer Risk Models

DOI: 10.1093/JNCICS/PKAB021

Year: 2021

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