Performance of Single-Nucleotide Polymorphisms in Breast Cancer Risk Prediction Models: A Systematic Review and Meta-analysis

10.1158/1055-9965.EPI-18-0810

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Main Authors:	FUNG, SI MING, WONG, XIN YI, LEE, SHI XUN, MIAO, HUI, HARTMAN, MIKAEL, WEE, HWEE-LIN
Other Authors:	PHARMACY
Format:	Review
Language:	English
Published:	AMER ASSOC CANCER RESEARCH 2019
Subjects:	Science & Technology Life Sciences & Biomedicine Oncology Public, Environmental & Occupational Health GENOME-WIDE ASSOCIATION COMMON GENETIC-VARIANTS AFRICAN-AMERICAN BOADICEA MODEL WOMEN SUSCEPTIBILITY DISEASE SCORE CURVE AREA
Online Access:	https://scholarbank.nus.edu.sg/handle/10635/154768
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Institution:	National University of Singapore
Language:	English

id	sg-nus-scholar.10635-154768
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spelling	sg-nus-scholar.10635-1547682024-04-25T02:38:05Z Performance of Single-Nucleotide Polymorphisms in Breast Cancer Risk Prediction Models: A Systematic Review and Meta-analysis FUNG, SI MING WONG, XIN YI LEE, SHI XUN MIAO, HUI HARTMAN, MIKAEL WEE, HWEE-LIN PHARMACY SURGERY DUKE-NUS MEDICAL SCHOOL SAW SWEE HOCK SCHOOL OF PUBLIC HEALTH Science & Technology Life Sciences & Biomedicine Oncology Public, Environmental & Occupational Health GENOME-WIDE ASSOCIATION COMMON GENETIC-VARIANTS AFRICAN-AMERICAN BOADICEA MODEL WOMEN SUSCEPTIBILITY DISEASE SCORE CURVE AREA 10.1158/1055-9965.EPI-18-0810 CANCER EPIDEMIOLOGY BIOMARKERS & PREVENTION 28 3 506-521 2019-05-27T06:39:04Z 2019-05-27T06:39:04Z 2019-03-01 2019-05-27T05:12:28Z Review FUNG, SI MING, WONG, XIN YI, LEE, SHI XUN, MIAO, HUI, HARTMAN, MIKAEL, WEE, HWEE-LIN (2019-03-01). Performance of Single-Nucleotide Polymorphisms in Breast Cancer Risk Prediction Models: A Systematic Review and Meta-analysis. CANCER EPIDEMIOLOGY BIOMARKERS & PREVENTION 28 (3) : 506-521. ScholarBank@NUS Repository. https://doi.org/10.1158/1055-9965.EPI-18-0810 1055-9965 1538-7755 https://scholarbank.nus.edu.sg/handle/10635/154768 en AMER ASSOC CANCER RESEARCH 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 Oncology Public, Environmental & Occupational Health GENOME-WIDE ASSOCIATION COMMON GENETIC-VARIANTS AFRICAN-AMERICAN BOADICEA MODEL WOMEN SUSCEPTIBILITY DISEASE SCORE CURVE AREA
spellingShingle	Science & Technology Life Sciences & Biomedicine Oncology Public, Environmental & Occupational Health GENOME-WIDE ASSOCIATION COMMON GENETIC-VARIANTS AFRICAN-AMERICAN BOADICEA MODEL WOMEN SUSCEPTIBILITY DISEASE SCORE CURVE AREA FUNG, SI MING WONG, XIN YI LEE, SHI XUN MIAO, HUI HARTMAN, MIKAEL WEE, HWEE-LIN Performance of Single-Nucleotide Polymorphisms in Breast Cancer Risk Prediction Models: A Systematic Review and Meta-analysis
description	10.1158/1055-9965.EPI-18-0810
author2	PHARMACY
author_facet	PHARMACY FUNG, SI MING WONG, XIN YI LEE, SHI XUN MIAO, HUI HARTMAN, MIKAEL WEE, HWEE-LIN
format	Review
author	FUNG, SI MING WONG, XIN YI LEE, SHI XUN MIAO, HUI HARTMAN, MIKAEL WEE, HWEE-LIN
author_sort	FUNG, SI MING
title	Performance of Single-Nucleotide Polymorphisms in Breast Cancer Risk Prediction Models: A Systematic Review and Meta-analysis
title_short	Performance of Single-Nucleotide Polymorphisms in Breast Cancer Risk Prediction Models: A Systematic Review and Meta-analysis
title_full	Performance of Single-Nucleotide Polymorphisms in Breast Cancer Risk Prediction Models: A Systematic Review and Meta-analysis
title_fullStr	Performance of Single-Nucleotide Polymorphisms in Breast Cancer Risk Prediction Models: A Systematic Review and Meta-analysis
title_full_unstemmed	Performance of Single-Nucleotide Polymorphisms in Breast Cancer Risk Prediction Models: A Systematic Review and Meta-analysis
title_sort	performance of single-nucleotide polymorphisms in breast cancer risk prediction models: a systematic review and meta-analysis
publisher	AMER ASSOC CANCER RESEARCH
publishDate	2019
url	https://scholarbank.nus.edu.sg/handle/10635/154768
_version_	1800913597697622016

Performance of Single-Nucleotide Polymorphisms in Breast Cancer Risk Prediction Models: A Systematic Review and Meta-analysis

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