More reliable breast cancer risk assessment for every woman

Han Liang

doi:10.1016/j.ccell.2021.02.018

More reliable breast cancer risk assessment for every woman

Han Liang

Bioinformatics & Computational Biology

Research output: Contribution to journal › Article › peer-review

2 Scopus citations

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.

Original language	English (US)
Pages (from-to)	457-459
Number of pages	3
Journal	Cancer cell
Volume	39
Issue number	4
DOIs	https://doi.org/10.1016/j.ccell.2021.02.018
State	Published - Apr 12 2021

ASJC Scopus subject areas

Oncology
Cell Biology
Cancer Research

MD Anderson CCSG core facilities

Bioinformatics Shared Resource

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10.1016/j.ccell.2021.02.018

Cite this

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title = "More reliable breast cancer risk assessment for every woman",

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.",

author = "Han Liang",

note = "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: {\textcopyright} 2021 Elsevier Inc.",

year = "2021",

month = apr,

day = "12",

doi = "10.1016/j.ccell.2021.02.018",

language = "English (US)",

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pages = "457--459",

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issn = "1535-6108",

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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 - https://www.scopus.com/pages/publications/85103729303

UR - https://www.scopus.com/pages/publications/85103729303#tab=citedBy

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 -

More reliable breast cancer risk assessment for every woman

Abstract

ASJC Scopus subject areas

MD Anderson CCSG core facilities

Access to Document

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