TY - JOUR
T1 - More reliable breast cancer risk assessment for every woman
AU - Liang, Han
N1 - Funding Information:
I thank K. Mojumdar and J. Li for editorial assistance. This work was supported by the NIH ( U24CA209851 , U01CA217842 , R01CA251150 , P50CA221703 , and P30CA016672 ), an MD Anderson Faculty Scholar Award, and the Barnhart Family Distinguished Professorship in Targeted Therapies.
Publisher Copyright:
© 2021 Elsevier Inc.
PY - 2021/4/12
Y1 - 2021/4/12
N2 - Using large, unbiased cohorts, two studies in The New England Journal of Medicine assessed the associations between germline variants in putative cancer susceptibility genes and the risk of breast cancer. They consistently identified a small set of genes as being the most informative for risk prediction, helping select high-risk women in the general population, and developing effective cancer prevention strategies.
AB - Using large, unbiased cohorts, two studies in The New England Journal of Medicine assessed the associations between germline variants in putative cancer susceptibility genes and the risk of breast cancer. They consistently identified a small set of genes as being the most informative for risk prediction, helping select high-risk women in the general population, and developing effective cancer prevention strategies.
UR - http://www.scopus.com/inward/record.url?scp=85103729303&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85103729303&partnerID=8YFLogxK
U2 - 10.1016/j.ccell.2021.02.018
DO - 10.1016/j.ccell.2021.02.018
M3 - Article
C2 - 33740422
AN - SCOPUS:85103729303
SN - 1535-6108
VL - 39
SP - 457
EP - 459
JO - Cancer cell
JF - Cancer cell
IS - 4
ER -