Gillian Dite

Development and validation of a clinical and genetic model for predicting risk of severe COVID-19

Gillian S Dite, Nicholas M Murphy, Richard Allman

Journal article  |  2021  |  EPIDEMIOLOGY AND INFECTION

Clinical and genetic risk factors for severe coronavirus disease 2019 (COVID-19) are often considered independently and without kn..

Comparing 5-Year and Lifetime Risks of Breast Cancer using the Prospective Family Study Cohort.

Robert J MacInnis, Julia A Knight, Wendy K Chung, Roger L Milne, Alice S Whittemore, Richard Buchsbaum, Yuyan Liao, Nur Zeinomar, Gillian S Dite, Melissa C Southey, David Goldgar, Graham G Giles, Allison W Kurian, undefined kConFab Investigators, Irene L Andrulis, Esther M John, Mary B Daly, Saundra S Buys, Kelly-Anne Phillips, John L Hopper, et al.

Journal article  |  2021  |  J Natl Cancer Inst

BACKGROUND: Clinical guidelines often use predicted lifetime risk from birth to define criteria for making decisions regarding bre..

Association of Adult Socioeconomic Status with Body Mass Index: A Within- and Between-Twin Study

Samuel JC Crofts, Janine Lam, Katrina J Scurrah, Gillian S Dite

Journal article  |  2021  |  TWIN RESEARCH AND HUMAN GENETICS

Adult socioeconomic status (SES) has been consistently associated with body mass index (BMI), but it is unclear whether it is link..

An integrated clinical and genetic model for predicting risk of severe COVID-19: A population-based case-control study

Gillian S Dite, Nicholas M Murphy, Richard Allman

Journal article  |  2021  |  PLOS ONE

Up to 30% of people who test positive to SARS-CoV-2 will develop severe COVID-19 and require hospitalisation. Age, gender, and com..

Ability of known colorectal cancer susceptibility SNPs to predict colorectal cancer risk: A cohort study within the UK Biobank.

Aviv Gafni, Gillian S Dite, Erika Spaeth Tuff, Richard Allman, John L Hopper

Journal article  |  2021  |  PLoS One

Colorectal cancer risk stratification is crucial to improve screening and risk-reducing recommendations, and consequently do bette..

Novel mammogram-based measures improve breast cancer risk prediction beyond an established mammographic density measure

Tuong L Nguyen, Daniel F Schmidt, Enes Makalic, Gertraud Maskarinec, Shuai Li, Gillian S Dite, Ye K Aung, Christopher F Evans, Ho N Trinh, Laura Baglietto, Jennifer Stone, Yun-Mi Song, Joohon Sung, Robert J MacInnis, Pierre-Antoine Dugue, James G Dowty, Mark A Jenkins, Roger L Milne, Melissa C Southey, Graham G Giles, et al.

Journal article  |  2020  |  INTERNATIONAL JOURNAL OF CANCER

Mammograms contain information that predicts breast cancer risk. We developed two novel mammogram-based breast cancer risk measure..

The Association Between Chronic Disease and Psychological Distress: An Australian Twin Study

Jessica Tyler, Janine Lam, Katrina Scurrah, Gillian Dite

Journal article  |  2020  |  TWIN RESEARCH AND HUMAN GENETICS

There is a commonly observed association between chronic disease and psychological distress, but many potential factors could conf..

Genetic and environmental causes of variation in epigenetic aging across the lifespan

Shuai Li, Tuong L Nguyen, Ee Ming Wong, Pierre-Antoine Dugue, Gillian S Dite, Nicola J Armstrong, Jeffrey M Craig, Karen A Mather, Perminder S Sachdev, Richard Saffery, Joohon Sung, Qihua Tan, Anbupalam Thalamuthu, Roger L Milne, Graham G Giles, Melissa C Southey, John L Hopper

Journal article  |  2020  |  CLINICAL EPIGENETICS

BACKGROUND: DNA methylation-based biological age (DNAm age) is an important biomarker for adult health. Studies in specific age ra..

Considerations When Using Breast Cancer Risk Models for Women with Negative BRCA1/BRCA2 Mutation Results

Robert J MacInnis, Yuyan Liao, Julia A Knight, Roger L Milne, Alice S Whittemore, Wendy K Chung, Nicole Leoce, Richard Buchsbaum, Nur Zeinomar, Gillian S Dite, Melissa C Southey, David Goldgar, Graham G Giles, Sue-Anne McLachlan, Prue C Weideman, Stephanie Nesci, Michael L Friedlander, Gord Glendon, Irene L Andrulis, Esther M John, et al.

Journal article  |  2020  |  JNCI-JOURNAL OF THE NATIONAL CANCER INSTITUTE

The performance of breast cancer risk models for women with a family history but negative BRCA1 and/or BRCA2 mutation test results..

Going Beyond Conventional Mammographic Density to Discover Novel Mammogram-Based Predictors of Breast Cancer Risk.

John L Hopper, Tuong L Nguyen, Daniel F Schmidt, Enes Makalic, Yun-Mi Song, Joohon Sung, Gillian S Dite, James G Dowty, Shuai Li

Journal article  |  2020  |  Journal of Clinical Medicine

This commentary is about predicting a woman's breast cancer risk from her mammogram, building on the work of Wolfe, Boyd and Yaffe..