U01HG005157

NIH – National Human Genome Research Institute

Integration of a Cross-Ancestry Polygenic Model With Clinical Risk Factors Improves Breast Cancer Risk Stratification

Tshiaba, P. T., Ratman, D. K., Sun, J. M., Tunstall, T. S., Levy, B., Shah, P. S., Weitzel, J. N., Rabinowitz, M., Kumar, A., & Im, K. M. (2023). Integration of a Cross-Ancestry Polygenic Model With Clinical Risk Factors Improves Breast Cancer Risk Stratification. JCO Precision Oncology, 7. https://doi.org/10.1200/po.22.00447
Authors:
Placede Tshiaba
Dariusz Ratman
Jiayi Sun
Tate Tunstall
Brynn Levy
Premal Shah
Jeffrey N. Weitzel
Matthew Rabinowitz
Akash Kumar
Kate Im
Affiliated Authors:
Brynn Levy
Grants:
R01CA142996 (NIH – National Cancer Institute)
R37CA054281 (NIH – National Cancer Institute)
U01CA098758 (NIH – National Cancer Institute)
R01CA132839 (NIH – National Cancer Institute)
RC2HL102923 (NIH – National Heart, Lung, and Blood Institute)
RC2HL103010 (NIH – National Heart, Lung, and Blood Institute)
RC2HL102926 (NIH – National Heart, Lung, and Blood Institute)
RC2HL102924 (NIH – National Heart, Lung, and Blood Institute)
RC2HL102925 (NIH – National Heart, Lung, and Blood Institute)
U01HG005157 (NIH – National Human Genome Research Institute)
U01HG004801 (NIH – National Human Genome Research Institute)
U01HG004790 (NIH – National Human Genome Research Institute)
U01HG005152 (NIH – National Human Genome Research Institute)
U01HG004424 (NIH – National Human Genome Research Institute)
U01HG005922 (NIH – National Human Genome Research Institute)
Publication Type:
Article
Unique ID:
10.1200/po.22.00447
PMID:
Publication Date:
Data Source:
OpenAlex

Record Created: