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Journal Articles

Using DEPendency of Association on the Number of Top Hits (DEPTH) as a Complementary Tool to Identify Novel Colorectal Cancer Susceptibility Loci

John Lai, Chi Kuen Wong, Daniel F. Schmidt, Miroslaw K. Kapuscinski, Karen Alpen, Robert J. MacInnis, Daniel D. Buchanan, Aung K. Win, Jane C. Figueiredo, Andrew T. Chan, Tabitha A. Harrison, Michael Hoffmeister, Emily White, Loic Le Marchand, Rish K. Pai, Ulrike Peters, John L. Hopper, Mark A. Jenkins, Enes Makalic

Cancer Epidemiol Biomarkers Prev (2023) 32 (9): 1153–1159.

https://doi.org/10.1158/1055-9965.EPI-22-1209

Published: 01 September 2023

View article titled, Using DEPendency of Association on the Number of Top Hits (DEPTH) as a Complementary Tool to Identify Novel Colorectal Cancer Susceptibility Loci

Includes: Supplementary data

Journal Articles

The Future Burden of Head and Neck Cancers Attributable to Modifiable Behaviors in Australia: A Pooled Cohort Study

Maarit A. Laaksonen, Karen Canfell, Robert J. MacInnis, Emily Banks, Julie E. Byles, Graham G. Giles, Dianna J. Magliano, Jonathan E. Shaw, Vasant Hirani, Tiffany K. Gill, Paul Mitchell, Robert G. Cumming, Usha Salagame, Claire M. Vajdic

Cancer Epidemiol Biomarkers Prev (2021) 30 (8): 1566–1574.

https://doi.org/10.1158/1055-9965.EPI-21-0003

Published: 01 August 2021

View article titled, The Future Burden of Head and Neck Cancers Attributable to Modifiable Behaviors in Australia: A Pooled Cohort Study

Includes: Supplementary data

Journal Articles

Latent Class Trajectory Modeling of Adult Body Mass Index and Risk of Obesity-Related Cancer: Findings from the Melbourne Collaborative Cohort Study

Yi Yang, Brigid M. Lynch, Pierre-Antoine Dugué, Amalia Karahalios, Robert J. MacInnis, Julie K. Bassett, Alison McAleese, Craig Sinclair, Graham G. Giles, Roger L. Milne, Allison M. Hodge, Dallas R. English

Cancer Epidemiol Biomarkers Prev (2021) 30 (2): 373–379.

https://doi.org/10.1158/1055-9965.EPI-20-0690

Published: 05 February 2021

View article titled, Latent Class Trajectory Modeling of Adult Body Mass Index and Risk of Obesity-Related Cancer: Findings from the Melbourne Collaborative Cohort Study

Includes: Supplementary data

Journal Articles

A New Comprehensive Colorectal Cancer Risk Prediction Model Incorporating Family History, Personal Characteristics, and Environmental Factors

Yingye Zheng, Xinwei Hua, Aung K. Win, Robert J. MacInnis, Steven Gallinger, Loic Le Marchand, Noralane M. Lindor, John A. Baron, John L. Hopper, James G. Dowty, Antonis C. Antoniou, Jiayin Zheng, Mark A. Jenkins, Polly A. Newcomb

Cancer Epidemiol Biomarkers Prev (2020) 29 (3): 549–557.

https://doi.org/10.1158/1055-9965.EPI-19-0929

Published: 04 March 2020

View article titled, A New Comprehensive Colorectal Cancer Risk Prediction Model Incorporating Family History, Personal Characteristics, and Environmental Factors

Includes: Supplementary data

Journal Articles

Abstract PR07: Comparison of risk model recommendations for women at high-risk of breast cancer based on clinical thresholds using the Prospective Family Study Cohort (ProF-SC)

Mary Beth Terry, Kelly-Anne Phillips, Yuyan Liao, Robert J. MacInnis, Gillian S. Dite, Mary B. Daly, Esther M. John, Irene L. Andrulis, Saundra S. Buys, Richard Buchsbaum, John L. Hopper

Cancer Epidemiol Biomarkers Prev (2017) 26 (5_Supplement): PR07.

https://doi.org/10.1158/1538-7755.CARISK16-PR07

Published: 30 April 2017

View article titled, Abstract PR07: Comparison of risk model recommendations for women at high-risk of breast cancer based on clinical thresholds using the Prospective Family Study Cohort (ProF-SC)

Journal Articles

Abstract PR11: Utah familial colorectal cancer risk model

Robert J. MacInnis, Mark A. Jenkins, John L. Hopper, Lisa A. Cannon-Albright

Cancer Epidemiol Biomarkers Prev (2017) 26 (5_Supplement): PR11.

https://doi.org/10.1158/1538-7755.CARISK16-PR11

Published: 30 April 2017

View article titled, Abstract PR11: Utah familial colorectal cancer risk model

Journal Articles

Abstract B04: Development of a comprehensive colorectal cancer risk prediction tool (CRiPT) incorporating known and unknown major genes and polygenes

Aung Ko Win, Mark A. Jenkins, James G. Dowty, Antonis C. Antoniou, Andrew Lee, Yingye Zheng, Noralane M. Lindor, Polly A. Newcomb, John L. Hopper, Robert J. MacInnis

Cancer Epidemiol Biomarkers Prev (2017) 26 (5_Supplement): B04.

https://doi.org/10.1158/1538-7755.CARISK16-B04

Published: 30 April 2017

View article titled, Abstract B04: Development of a comprehensive colorectal cancer risk prediction tool (CRiPT) incorporating known and unknown major genes and polygenes

Journal Articles

Abstract B06: Utah familial colorectal cancer risk model

Robert J. MacInnis, Mark A. Jenkins, John L. Hopper, Lisa A. Cannon-Albright

Cancer Epidemiol Biomarkers Prev (2017) 26 (5_Supplement): B06.

https://doi.org/10.1158/1538-7755.CARISK16-B06

Published: 30 April 2017

View article titled, Abstract B06: Utah familial colorectal cancer risk model

Journal Articles

Abstract PR10: Development of a comprehensive colorectal cancer risk prediction tool (CRiPT) incorporating known and unknown major genes and polygenes

Aung Ko Win, Mark A. Jenkins, James G. Dowty, Antonis C. Antoniou, Andrew Lee, Yingye Zheng, Noralane M. Lindor, Polly A. Newcomb, John L. Hopper, Robert J. MacInnis

Cancer Epidemiol Biomarkers Prev (2017) 26 (5_Supplement): PR10.

https://doi.org/10.1158/1538-7755.CARISK16-PR10

Published: 30 April 2017

View article titled, Abstract PR10: Development of a comprehensive colorectal cancer risk prediction tool (CRiPT) incorporating known and unknown major genes and polygenes

Journal Articles

Longitudinal Study of Mammographic Density Measures That Predict Breast Cancer Risk

Kavitha Krishnan, Laura Baglietto, Jennifer Stone, Julie A. Simpson, Gianluca Severi, Christopher F. Evans, Robert J. MacInnis, Graham G. Giles, Carmel Apicella, John L. Hopper

Cancer Epidemiol Biomarkers Prev (2017) 26 (4): 651–660.

https://doi.org/10.1158/1055-9965.EPI-16-0499

Published: 02 April 2017

View article titled, Longitudinal Study of Mammographic Density Measures That Predict Breast Cancer Risk

Journal Articles

Prevalence and Penetrance of Major Genes and Polygenes for Colorectal Cancer

Cancer Epidemiol Biomarkers Prev (2017) 26 (3): 404–412.

https://doi.org/10.1158/1055-9965.EPI-16-0693

Published: 01 March 2017

View article titled, Prevalence and Penetrance of Major Genes and Polygenes for Colorectal Cancer

Includes: Supplementary data

Journal Articles

Use of a Novel Nonparametric Version of DEPTH to Identify Genomic Regions Associated with Prostate Cancer Risk

Cancer Epidemiol Biomarkers Prev (2016) 25 (12): 1619–1624.

https://doi.org/10.1158/1055-9965.EPI-16-0301

Published: 01 December 2016

View article titled, Use of a Novel Nonparametric Version of DEPTH to Identify Genomic Regions Associated with Prostate Cancer Risk

Includes: Supplementary data

Journal Articles

Breast Cancer Risk Prediction Using Clinical Models and 77 Independent Risk-Associated SNPs for Women Aged Under 50 Years: Australian Breast Cancer Family Registry

Gillian S. Dite, Robert J. MacInnis, Adrian Bickerstaffe, James G. Dowty, Richard Allman, Carmel Apicella, Roger L. Milne, Helen Tsimiklis, Kelly-Anne Phillips, Graham G. Giles, Mary Beth Terry, Melissa C. Southey, John L. Hopper

Cancer Epidemiol Biomarkers Prev (2016) 25 (2): 359–365.

https://doi.org/10.1158/1055-9965.EPI-15-0838

Published: 04 February 2016

View article titled, Breast Cancer Risk Prediction Using Clinical Models and 77 Independent Risk-Associated SNPs for Women Aged Under 50 Years: Australian Breast Cancer Family Registry

Journal Articles

Development and Validation of a Risk Score Predicting Risk of Colorectal Cancer

Annika Steffen, Robert J. MacInnis, Grace Joshy, Graham G. Giles, Emily Banks, David Roder

Cancer Epidemiol Biomarkers Prev (2014) 23 (11): 2543–2552.

https://doi.org/10.1158/1055-9965.EPI-14-0206

Published: 02 November 2014

View article titled, Development and Validation of a Risk Score Predicting Risk of Colorectal Cancer

Journal Articles

Explaining Variance in the Cumulus Mammographic Measures That Predict Breast Cancer Risk: A Twins and Sisters Study

Tuong L. Nguyen, Daniel F. Schmidt, Enes Makalic, Gillian S. Dite, Jennifer Stone, Carmel Apicella, Minh Bui, Robert J. MacInnis, Fabrice Odefrey, Jennifer N. Cawson, Susan A. Treloar, Melissa C. Southey, Graham G. Giles, John L. Hopper

Cancer Epidemiol Biomarkers Prev (2013) 22 (12): 2395–2403.

https://doi.org/10.1158/1055-9965.EPI-13-0481

Published: 05 December 2013

View article titled, Explaining Variance in the <em>Cumulus</em> Mammographic Measures That Predict Breast Cancer Risk: A Twins and Sisters Study

Journal Articles

Associations between Weight in Early Adulthood, Change in Weight, and Breast Cancer Risk in Postmenopausal Women

Kavitha Krishnan, Julie K. Bassett, Robert J. MacInnis, Dallas R. English, John L. Hopper, Catriona McLean, Graham G. Giles, Laura Baglietto

Cancer Epidemiol Biomarkers Prev (2013) 22 (8): 1409–1416.

https://doi.org/10.1158/1055-9965.EPI-13-0136

Published: 31 July 2013

View article titled, Associations between Weight in Early Adulthood, Change in Weight, and Breast Cancer Risk in Postmenopausal Women

Includes: Supplementary data

Journal Articles

Risk Prediction Models for Colorectal Cancer: A Review

Aung Ko Win, Robert J. MacInnis, John L. Hopper, Mark A. Jenkins

Cancer Epidemiol Biomarkers Prev (2012) 21 (3): 398–410.

https://doi.org/10.1158/1055-9965.EPI-11-0771

Published: 06 March 2012

View article titled, Risk Prediction Models for Colorectal Cancer: A Review

Journal Articles

Circulating Insulin-Like Growth Factor-I and Binding Protein-3 and Risk of Prostate Cancer

Gianluca Severi, Howard A. Morris, Robert J. MacInnis, Dallas R. English, Wayne D. Tilley, John L. Hopper, Peter Boyle, Graham G. Giles

Cancer Epidemiol Biomarkers Prev (2006) 15 (6): 1137–1141.

https://doi.org/10.1158/1055-9965.EPI-05-0823

Published: 14 June 2006

View article titled, Circulating Insulin-Like Growth Factor-I and Binding Protein-3 and Risk of Prostate Cancer

Journal Articles

Circulating Steroid Hormones and the Risk of Prostate Cancer

Gianluca Severi, Howard A. Morris, Robert J. MacInnis, Dallas R. English, Wayne Tilley, John L. Hopper, Peter Boyle, Graham G. Giles

Cancer Epidemiol Biomarkers Prev (2006) 15 (1): 86–91.

https://doi.org/10.1158/1055-9965.EPI-05-0633

Published: 24 January 2006

View article titled, Circulating Steroid Hormones and the Risk of Prostate Cancer

Journal Articles

Body Size and Composition and Risk of Postmenopausal Breast Cancer

Robert J. MacInnis, Dallas R. English, Dorota M. Gertig, John L. Hopper, Graham G. Giles

Cancer Epidemiol Biomarkers Prev (2004) 13 (12): 2117–2125.

https://doi.org/10.1158/1055-9965.2117.13.12

Published: 14 December 2004

View article titled, Body Size and Composition and Risk of Postmenopausal Breast Cancer

NARROW

Using DEPendency of Association on the Number of Top Hits (DEPTH) as a Complementary Tool to Identify Novel Colorectal Cancer Susceptibility Loci

The Future Burden of Head and Neck Cancers Attributable to Modifiable Behaviors in Australia: A Pooled Cohort Study

Latent Class Trajectory Modeling of Adult Body Mass Index and Risk of Obesity-Related Cancer: Findings from the Melbourne Collaborative Cohort Study

A New Comprehensive Colorectal Cancer Risk Prediction Model Incorporating Family History, Personal Characteristics, and Environmental Factors

Abstract PR07: Comparison of risk model recommendations for women at high-risk of breast cancer based on clinical thresholds using the Prospective Family Study Cohort (ProF-SC)

Abstract PR11: Utah familial colorectal cancer risk model

Abstract B04: Development of a comprehensive colorectal cancer risk prediction tool (CRiPT) incorporating known and unknown major genes and polygenes

Abstract B06: Utah familial colorectal cancer risk model

Abstract PR10: Development of a comprehensive colorectal cancer risk prediction tool (CRiPT) incorporating known and unknown major genes and polygenes

Longitudinal Study of Mammographic Density Measures That Predict Breast Cancer Risk

Prevalence and Penetrance of Major Genes and Polygenes for Colorectal Cancer

Use of a Novel Nonparametric Version of DEPTH to Identify Genomic Regions Associated with Prostate Cancer Risk

Breast Cancer Risk Prediction Using Clinical Models and 77 Independent Risk-Associated SNPs for Women Aged Under 50 Years: Australian Breast Cancer Family Registry

Development and Validation of a Risk Score Predicting Risk of Colorectal Cancer

Explaining Variance in the Cumulus Mammographic Measures That Predict Breast Cancer Risk: A Twins and Sisters Study

Associations between Weight in Early Adulthood, Change in Weight, and Breast Cancer Risk in Postmenopausal Women

Risk Prediction Models for Colorectal Cancer: A Review

Circulating Insulin-Like Growth Factor-I and Binding Protein-3 and Risk of Prostate Cancer

Circulating Steroid Hormones and the Risk of Prostate Cancer

Body Size and Composition and Risk of Postmenopausal Breast Cancer

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