Breast cancer risk stratification using genetic and non-genetic risk assessment tools for 246,142 women in the UK Biobank

10.1016/j.gim.2023.100917

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Main Authors:	Ho, Peh Joo, Lim, Elaine H, Hartman, Mikael, Wong, Fuh Yong, Li, Jingmei
Other Authors:	MEDICINE
Format:	Article
Language:	English
Published:	ELSEVIER SCIENCE INC 2023
Subjects:	Science & Technology Life Sciences & Biomedicine Genetics & Heredity Breast cancer Family history Loss -of -function variants Polygenic risk scores Screening POLYGENIC RISK SCREENING MAMMOGRAPHY PREDICTION MODELS FAMILY-HISTORY OLDER WOMEN VALIDATION DENSITY SUSCEPTIBILITY PROBABILITIES INDIVIDUALS
Online Access:	https://scholarbank.nus.edu.sg/handle/10635/246024
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Institution:	National University of Singapore
Language:	English

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spelling	sg-nus-scholar.10635-2460242024-04-25T01:22:18Z Breast cancer risk stratification using genetic and non-genetic risk assessment tools for 246,142 women in the UK Biobank Ho, Peh Joo Lim, Elaine H Hartman, Mikael Wong, Fuh Yong Li, Jingmei MEDICINE SURGERY DUKE-NUS MEDICAL SCHOOL SAW SWEE HOCK SCHOOL OF PUBLIC HEALTH Science & Technology Life Sciences & Biomedicine Genetics & Heredity Breast cancer Family history Loss -of -function variants Polygenic risk scores Screening POLYGENIC RISK SCREENING MAMMOGRAPHY PREDICTION MODELS FAMILY-HISTORY OLDER WOMEN VALIDATION DENSITY SUSCEPTIBILITY PROBABILITIES INDIVIDUALS 10.1016/j.gim.2023.100917 GENETICS IN MEDICINE 25 10 2023-11-17T02:14:42Z 2023-11-17T02:14:42Z 2023-10 2023-11-17T01:48:00Z Article Ho, Peh Joo, Lim, Elaine H, Hartman, Mikael, Wong, Fuh Yong, Li, Jingmei (2023-10). Breast cancer risk stratification using genetic and non-genetic risk assessment tools for 246,142 women in the UK Biobank. GENETICS IN MEDICINE 25 (10). ScholarBank@NUS Repository. https://doi.org/10.1016/j.gim.2023.100917 1098-3600 1530-0366 https://scholarbank.nus.edu.sg/handle/10635/246024 en ELSEVIER SCIENCE INC Elements
institution	National University of Singapore
building	NUS Library
continent	Asia
country	Singapore Singapore
content_provider	NUS Library
collection	ScholarBank@NUS
language	English
topic	Science & Technology Life Sciences & Biomedicine Genetics & Heredity Breast cancer Family history Loss -of -function variants Polygenic risk scores Screening POLYGENIC RISK SCREENING MAMMOGRAPHY PREDICTION MODELS FAMILY-HISTORY OLDER WOMEN VALIDATION DENSITY SUSCEPTIBILITY PROBABILITIES INDIVIDUALS
spellingShingle	Science & Technology Life Sciences & Biomedicine Genetics & Heredity Breast cancer Family history Loss -of -function variants Polygenic risk scores Screening POLYGENIC RISK SCREENING MAMMOGRAPHY PREDICTION MODELS FAMILY-HISTORY OLDER WOMEN VALIDATION DENSITY SUSCEPTIBILITY PROBABILITIES INDIVIDUALS Ho, Peh Joo Lim, Elaine H Hartman, Mikael Wong, Fuh Yong Li, Jingmei Breast cancer risk stratification using genetic and non-genetic risk assessment tools for 246,142 women in the UK Biobank
description	10.1016/j.gim.2023.100917
author2	MEDICINE
author_facet	MEDICINE Ho, Peh Joo Lim, Elaine H Hartman, Mikael Wong, Fuh Yong Li, Jingmei
format	Article
author	Ho, Peh Joo Lim, Elaine H Hartman, Mikael Wong, Fuh Yong Li, Jingmei
author_sort	Ho, Peh Joo
title	Breast cancer risk stratification using genetic and non-genetic risk assessment tools for 246,142 women in the UK Biobank
title_short	Breast cancer risk stratification using genetic and non-genetic risk assessment tools for 246,142 women in the UK Biobank
title_full	Breast cancer risk stratification using genetic and non-genetic risk assessment tools for 246,142 women in the UK Biobank
title_fullStr	Breast cancer risk stratification using genetic and non-genetic risk assessment tools for 246,142 women in the UK Biobank
title_full_unstemmed	Breast cancer risk stratification using genetic and non-genetic risk assessment tools for 246,142 women in the UK Biobank
title_sort	breast cancer risk stratification using genetic and non-genetic risk assessment tools for 246,142 women in the uk biobank
publisher	ELSEVIER SCIENCE INC
publishDate	2023
url	https://scholarbank.nus.edu.sg/handle/10635/246024
_version_	1800915987648741376

Breast cancer risk stratification using genetic and non-genetic risk assessment tools for 246,142 women in the UK Biobank

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