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Contact


Email

richard.allman@unimelb.edu.au

Credentials


Position
Honorary (Senior Fellow)
Melbourne School of Population and Global Health - Centres and Institutes
Education
Doctorate (Research)
Cardiff University
Bachelors Degree (Honours)
Cardiff University

Dr Richard Allman

Honorary (Senior Fellow)
Melbourne School of Population and Global Health

9 Scholarly works
0 Projects

HIGHLIGHTS

  • 2023

    Journal article

    Validation of an Abridged Breast Cancer Risk Prediction Model for the General Population
    DOI: 10.1158/1940-6207.CAPR-22-0460
  • 2023

    Journal article

    Validation of a breast cancer risk prediction model based on the key risk factors: family history, mammographic density and polygenic risk
    DOI: 10.1007/s10549-022-06834-7
  • 2022

    Journal article

    Polygenic risk scores for cardiovascular diseases and type 2 diabetes
    DOI: 10.1371/journal.pone.0278764
  • 2022

    Journal article

    The SCRIPT trial: study protocol for a randomised controlled trial of a polygenic risk score to tailor colorectal cancer screening in primary care
    DOI: 10.1186/s13063-022-06734-7
  • 2021

    Journal article

    Ability of known colorectal cancer susceptibility SNPs to predict colorectal cancer risk: A cohort study within the UK Biobank
    DOI: 10.1371/journal.pone.0251469
  • 2021

    Journal article

    A streamlined model for use in clinical breast cancer risk assessment maintains predictive power and is further improved with inclusion of a polygenic risk score
    DOI: 10.1371/journal.pone.0245375
  • 2019

    Journal article

    Validation of a genetic risk score for Arkansas women of color
    DOI: 10.1371/journal.pone.0204834
Richard Allman

RECENT SCHOLARLY WORKS

  • 2016

    Journal article

    Breast cancer risk prediction using clinical models and 77 independent risk-associated SNPs for women aged under 50 years: Australian breast cancer family registry
    DOI: 10.1158/1055-9965.EPI-15-0838
  • 2015

    Journal article

    SNPs and breast cancer risk prediction for African American and Hispanic women
    DOI: 10.1007/s10549-015-3641-7

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