Literature DB >> 33740422

More reliable breast cancer risk assessment for every woman.

Han Liang1.   

Abstract

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.
Copyright © 2021 Elsevier Inc. All rights reserved.

Entities:  

Year:  2021        PMID: 33740422     DOI: 10.1016/j.ccell.2021.02.018

Source DB:  PubMed          Journal:  Cancer Cell        ISSN: 1535-6108            Impact factor:   31.743


  1 in total

1.  Commentary: Polygenic risk for breast cancer: in search for potential clinical utility.

Authors:  Tingting Wang; Mika Ala-Korpela
Journal:  Int J Epidemiol       Date:  2021-10-31       Impact factor: 9.685

  1 in total

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