Dr Kevin Nguyen
Senior Research Fellow - Statistical Analysis
Melbourne School of Population and Global Health
123 Scholarly works
9 Projects
HIGHLIGHTS
2026
Journal article
Evaluating mammographic density polygenic risk score for contralateral breast cancer risk prediction
DOI: 10.1038/s41598-026-42365-72026
Journal article
Genome-wide analysis highlights epigenetic link to age at menarche
DOI: 10.1093/humrep/deag0192023
Journal article
Australian genome-wide association study confirms higher female risk for adult glioma associated with variants in the region of CCDC26
DOI: 10.1093/neuonc/noac2792020
Research Grant
Reducing the Burden of Breast Cancer by Precision Prevention: Improving Breast Cancer Risk Prediction by Integrating Comprehensive Information
2018
Journal article
Breast cancer risk associations with digital mammographic density by pixel brightness threshold and mammographic system
DOI: 10.1148/radiol.20171703062018
Research Grant
Improved and Automated Measures of Breast Cancer Risk Based on Digital Mammography and Family History Data Collected by Breastscreen That Will Enable Tailored Screening for Breast Cancer
2017
Research Grant
Development of Automated Measures From Mammograms That Predict Masking and Risk and Pilot Implementation Into a Clinical Service
RECENT SCHOLARLY WORKS
2026
Other
Supplementary Table S9 from Region-Based Analyses of Existing Genome-Wide Association Studies Identifies Novel Potential Genetic Susceptibility Regions for Glioma
DOI: 10.1158/2767-9764.317622402026
Other
Supplementary Table S5 from Region-Based Analyses of Existing Genome-Wide Association Studies Identifies Novel Potential Genetic Susceptibility Regions for Glioma
DOI: 10.1158/2767-9764.317622522026
Other
Supplementary Table S2 from Region-Based Analyses of Existing Genome-Wide Association Studies Identifies Novel Potential Genetic Susceptibility Regions for Glioma
DOI: 10.1158/2767-9764.317622672026
Other
Data from Region-Based Analyses of Existing Genome-Wide Association Studies Identifies Novel Potential Genetic Susceptibility Regions for Glioma
DOI: 10.1158/2767-9764.c.75353162026
Other
Supplementary Figure S2 from Region-Based Analyses of Existing Genome-Wide Association Studies Identifies Novel Potential Genetic Susceptibility Regions for Glioma
DOI: 10.1158/2767-9764.317622762026
Other
Supplementary Table S4 from Region-Based Analyses of Existing Genome-Wide Association Studies Identifies Novel Potential Genetic Susceptibility Regions for Glioma
DOI: 10.1158/2767-9764.317622552026
Other
Supplementary Figure S1 from Region-Based Analyses of Existing Genome-Wide Association Studies Identifies Novel Potential Genetic Susceptibility Regions for Glioma
DOI: 10.1158/2767-9764.317622822026
Other
Supplementary Table S8 from Region-Based Analyses of Existing Genome-Wide Association Studies Identifies Novel Potential Genetic Susceptibility Regions for Glioma
DOI: 10.1158/2767-9764.31762243