G. Dite

G. Giles, M. Southey, D. Easton, 1999, Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology.

Fine-mapping of 150 breast cancer risk regions identifies 178 high confidence target genes

Jack A. Taylor, W. Chung, S. Cross, 2019, bioRxiv.

CFTR deltaF508 carrier status, risk of breast cancer before the age of 40 and histological grading in a population-based case-control study.

G. Giles, M. McCredie, G. Dite, 1998, International journal of cancer.

The HER2 I655V polymorphism and risk of breast cancer in women < age 40 years.

D. Gertig, G. Giles, J. Hopper, 2003, Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology.

Increased cancer risks for relatives of very early-onset breast cancer cases with and without BRCA1 and BRCA2 mutations

A. Whittemore, G. Giles, E. John, 2010, British Journal of Cancer.

Risk factors for breast cancer in young women by oestrogen receptor and progesterone receptor status

G. Giles, M. McCredie, G. Dite, 2003, British Journal of Cancer.

An increased incidence of Hodgkin's lymphoma in patients with adult-onset sarcoma

G. Dite, M. Ballinger, M. Downing, 2012, Clinical Sarcoma Research.

Oral Contraceptive Use and Risk of Early-Onset Breast Cancer in Carriers and Noncarriers of BRCA1 and BRCA2 Mutations

A. Whittemore, G. Giles, J. Hopper, 2005, Cancer Epidemiology Biomarkers & Prevention.

Genetic Aspects of Mammographic Density Measures Associated with Breast Cancer Risk

G. Giles, J. Hopper, M. Southey, 2022, Cancers.

Ability of known susceptibility SNPs to predict colorectal cancer risk for persons with and without a family history

Aung Ko Win, J. Emery, J. Potter, 2018, bioRxiv.

Assessing interactions between the associations of common genetic susceptibility variants, reproductive history and body mass index with breast cancer risk in the breast cancer association consortium: a combined case-control study

A. Whittemore, S. Cross, K. Heusinger, 2010, Breast Cancer Research.

Benign breast disease increases breast cancer risk independent of underlying familial risk profile: Findings from a Prospective Family Study Cohort

Rebecca D. Kehm, W. Chung, G. Giles, 2019, International journal of cancer.

Heritability of mammographic density, a risk factor for breast cancer.

David Tritchler, John L Hopper, Gillian S Dite, 2002, The New England journal of medicine.

Cancer Risks for Relatives of Children with Cancer

J. Hopper, G. Dite, J. A. Heath, 2014, Journal of cancer epidemiology.

Psychosocial factors and survival of young women with breast cancer: a population-based prospective cohort study.

G. Giles, J. Hopper, R. Osborne, 2008, Journal of Clinical Oncology.

OP-JNCI190195 418..422

A. Whittemore, W. Chung, G. Giles, 2020 .

Considerations when using breast cancer risk models for women with negative BRCA1/BRCA2 mutation results.

A. Whittemore, W. Chung, G. Giles, 2020, Journal of the National Cancer Institute.

Family-based association study of IGF1 microsatellites and height, weight, and body mass index

A. Paterson, N. Boyd, G. Giles, 2010, Journal of Human Genetics.

CYP17 genetic polymorphism, breast cancer, and breast cancer risk factors: Australian Breast Cancer Family Study

D. Gertig, G. Giles, J. Hopper, 2005, Breast Cancer Research.

Risk-Reducing Oophorectomy and Breast Cancer Risk Across the Spectrum of Familial Risk

W. Chung, G. Giles, J. Hopper, 2018, Journal of the National Cancer Institute.

OP-JNCI180212 331..334

W. Chung, G. Giles, J. Hopper, 2019 .

The HER 2 I 655 V Polymorphism and Risk of Breast Cancer in Women Age 40 Years 1

D. Gertig, G. Giles, J. Hopper, 2003 .

Short Communication The HER2 I655V Polymorphism and Risk of Breast Cancer in Women Age 40 Years 1

D. Gertig, J. Hopper, M. Southey, 2003 .

A Systematic Approach to Analysing Gene-Gene Interactions: Polymorphisms at the Microsomal Epoxide Hydrolase EPHX and Glutathione S-transferase GSTM1, GSTT1, and GSTP1 Loci and Breast Cancer Risk

G. Giles, J. Hopper, A. Spurdle, 2007, Cancer Epidemiology Biomarkers & Prevention.

The AIB1 glutamine repeat polymorphism is not associated with risk of breast cancer before age 40 years in Australian women

D. Gertig, G. Giles, J. Hopper, 2005, Breast Cancer Research.

Is there a positive association between mammographic density and bone mineral density?

D. English, G. Giles, J. Hopper, 2006, Breast Cancer Research.

The histologic phenotypes of breast carcinoma occurring before age 40 years in women with and without BRCA1 or BRCA2 germline mutations

G. Giles, J. Hopper, M. Southey, 1998, Cancer.

Is BRCA2 c.9079 G > A a predisposing variant for early onset breast cancer?

G. Giles, J. Hopper, M. Southey, 2008, Breast Cancer Research and Treatment.

Role of tumor molecular and pathology features to estimate colorectal cancer risk for first-degree relatives

Aung Ko Win, J. Potter, G. Giles, 2014 .

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

A. Whittemore, W. Chung, G. Giles, 2021 .

An inverse association between ovarian cysts and breast cancer in the breast cancer family registry

A. Whittemore, G. Giles, J. Hopper, 2006, International journal of cancer.

The steroid 5alpha-reductase type II TA repeat polymorphism is not associated with risk of breast or ovarian cancer in Australian women.

G. Giles, A. Spurdle, G. Chenevix-Trench, 2001, Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology.

Birthweight, gestational age and familial confounding in sex differences in infant mortality: a matched co-twin control study of Brazilian male-female twin pairs identified by population data linkage

G. Dite, M. Hickey, K. Scurrah, 2021, International journal of epidemiology.

The BRCA2 372 HH genotype is associated with risk of breast cancer in Australian women under age 60 years.

G. Giles, J. Hopper, A. Spurdle, 2002, Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology.

11q13 is a susceptibility locus for hormone receptor positive breast cancer

Patrick Neven, Michael Jones, Michael Bremer, 2012, Human mutation.

After BRCA1 and BRCA2-what next? Multifactorial segregation analyses of three-generation, population-based Australian families affected by female breast cancer.

G. Giles, J. Hopper, M. Southey, 2001, American journal of human genetics.

CYP17 promoter polymorphism and breast cancer in Australian women under age forty years.

G. Giles, A. Spurdle, D. Easton, 2000, Journal of the National Cancer Institute.

Re: "Presenting statistical uncertainty in trends and dose-response relations".

G. Dite, J. Hopper, 2002, American journal of epidemiology.

Alcohol consumption, cigarette smoking, and familial breast cancer risk: findings from the Prospective Family Study Cohort (ProF-SC)

Rebecca D. Kehm, W. Chung, G. Giles, 2019, Breast Cancer Research.

Breast cancer risk for noncarriers of family-specific BRCA1 and BRCA2 mutations: findings from the Breast Cancer Family Registry.

A. Whittemore, J. Hopper, E. John, 2011, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

Confirmation of 5p12 As a Susceptibility Locus for Progesterone-Receptor–Positive, Lower Grade Breast Cancer

S. Cross, M. Beckmann, P. Fasching, 2011, Cancer Epidemiology, Biomarkers & Prevention.

Polygenic risk scores for cardiovascular diseases and type 2 diabetes

E. Makalic, G. Dite, R. Allman, 2022, PloS one.

Associations of breast cancer risk factors with tumor subtypes: a pooled analysis from the Breast Cancer Association Consortium studies.

Victoria L. Cafourek, S. Cross, M. Beckmann, 2011, Journal of the National Cancer Institute.

Medical radiation exposure and breast cancer risk: Findings from the Breast Cancer Family Registry

A. Whittemore, G. Giles, J. Hopper, 2007, International journal of cancer.

Low penetrance breast cancer susceptibility loci are associated with specific breast tumor subtypes: findings from the Breast Cancer Association Consortium.

Patrick Neven, Päivi Heikkilä, Giu-Cheng Hsu, 2011, Human molecular genetics.

Distinct molecular pathogeneses of early-onset breast cancers in BRCA1 and BRCA2 mutation carriers: a population-based study.

G. Giles, J. Hopper, M. Southey, 1999, Cancer research.

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

G. Giles, J. Hopper, M. Southey, 2015, Cancer Epidemiology, Biomarkers & Prevention.

Fine-mapping of 150 breast cancer risk regions identifies 191 likely target genes

Jane E. Carpenter, Jack A. Taylor, W. Chung, 2019, Nature Genetics.

Mammographic density defined by higher than conventional brightness thresholds better predicts breast cancer risk

J. Rommens, G. Giles, J. Hopper, 2016, International journal of epidemiology.

OP-IJEJ190194 1..15

Katja, James Y. Dai, Marike, 2019 .

Genetic variation in mitotic regulatory pathway genes is associated with breast tumor grade.

Jane E. Carpenter, Kyriaki Michailidou, France Labrèche, 2014, Human molecular genetics.

under the age of 40

G. Giles, J. Hopper, G. Dite, 1998 .

Regular use of aspirin and other non-steroidal anti-inflammatory drugs and breast cancer risk for women at familial or genetic risk: a cohort study

Rebecca D. Kehm, W. Chung, G. Giles, 2019, Breast Cancer Research.

Age-specific breast cancer risk by body mass index and familial risk: prospective family study cohort (ProF-SC)

W. Chung, G. Giles, J. Hopper, 2018, Breast Cancer Research.

Genetic variation at CYP 3 A is associated with age at menarche and breast cancer risk : a case-control study

Jaana M. Hartikainen, S. Cross, M. Beckmann, 2014 .

Genetic variation at CYP3A is associated with age at menarche and breast cancer risk: a case-control study

Patrick Neven, Chiun-Sheng Huang, Julian Peto, 2014, Breast Cancer Research.

A combined clinical and genetic model for predicting risk of ovarian cancer

G. Dite, R. Allman, E. Spaeth, 2022, European journal of cancer prevention : the official journal of the European Cancer Prevention Organisation.

Monogenic and polygenic determinants of sarcoma risk: an international genetic study.

David M. Thomas, R. Sarin, J. Blay, 2016, The Lancet. Oncology.

Segregation analysis of 17,425 population-based breast cancer families: Evidence for genetic susceptibility and risk prediction

G. Giles, M. Southey, D. Easton, 2022, medRxiv.

Familial Aspects of Mammographic Density Measures Associated with Breast Cancer Risk

G. Giles, J. Hopper, M. Southey, 2022, Cancers.

Tumour morphology of early-onset breast cancers predicts breast cancer risk for first-degree relatives: the Australian Breast Cancer Family Registry

G. Giles, J. Hopper, M. Southey, 2012, Breast Cancer Research.

The potential value of sibling controls compared with population controls for association studies of lifestyle-related risk factors: an example from the Breast Cancer Family Registry.

A. Whittemore, G. Giles, J. Hopper, 2011, International journal of epidemiology.

Design and analysis issues in a population-based, case-control-family study of the genetic epidemiology of breast cancer and the Co-operative Family Registry for Breast Cancer Studies (CFRBCS).

G. Giles, G. Chenevix-Trench, G. Dite, 1999, Journal of the National Cancer Institute. Monographs.

CFTR ΔF508 carrier status, risk of breast cancer before the age of 40 and histological grading in a population‐based case‐control study

G. Giles, J. Hopper, M. Southey, 1998 .

Genome-wide average DNA methylation is determined in utero

A. McRae, T. Spector, G. Giles, 2018, International journal of epidemiology.

The androgen receptor CAG repeat polymorphism and modification of breast cancer risk in BRCA1 and BRCA2 mutation carriers

D. Duffy, G. Giles, J. Hopper, 2004, Breast Cancer Research.

Androgen receptor exon 1 CAG repeat length and breast cancer in women before age forty years.

G. Giles, A. Spurdle, M. Southey, 1999, Journal of the National Cancer Institute.

Antenatal and Perinatal Antecedents of Moderate and Severe Spastic Cerebral Palsy

S. Brennecke, G. Dite, D. Reddihough, 1998, The Australian & New Zealand journal of obstetrics & gynaecology.

11q13 is a susceptibility locus for hormone receptor positive breast cancer

Jaana M. Hartikainen, S. Cross, R. Schulz-Wendtland, 2012, Human mutation.

Recreational Physical Activity and Outcomes After Breast Cancer in Women at High Familial Risk

Rebecca D. Kehm, W. Chung, G. Giles, 2021, JNCI cancer spectrum.

Assessment of a Polygenic Risk Score for Colorectal Cancer to Predict Risk of Lynch Syndrome Colorectal Cancer

Aung Ko Win, R. Hayes, J. Hopper, 2021, JNCI cancer spectrum.

Regressive logistic and proportional hazards disease models for within‐family analyses of measured genotypes, with application to a CYP17 polymorphism and breast cancer

G. Giles, A. Spurdle, M. Southey, 2003, Genetic epidemiology.

The FANCM:p.Arg658* truncating variant is associated with risk of triple-negative breast cancer

W. Chung, M. Beckmann, P. Fasching, 2019, npj Breast Cancer.

Mortality after breast cancer as a function of time since diagnosis by estrogen receptor status and age at diagnosis

Aung Ko Win, G. Giles, J. Hopper, 2019, International journal of cancer.

Breast cancer in Australian women under the age of 40

G. Giles, J. Hopper, G. Dite, 1998, Cancer Causes & Control.

Early life affects late-life health through determining DNA methylation across the lifespan: A twin study

G. Giles, J. Hopper, M. Southey, 2022, EBioMedicine.

Inference about causation between body mass index and DNA methylation in blood from a twin family study

G. Giles, J. Hopper, M. Southey, 2017, bioRxiv.

Genetic and Environmental Factors in Invasive Cervical Cancer: Design and Methods of a Classical Twin Study

D. Gertig, J. Hopper, S. Garland, 2016, Twin Research and Human Genetics.

A large-scale assessment of two-way SNP interactions in breast cancer susceptibility using 46,450 cases and 42,461 controls from the breast cancer association consortium.

Julian Peto, Kyriaki Michailidou, Thomas Brüning, 2014, Human molecular genetics.

SNPs and breast cancer risk prediction for African American and Hispanic women

C. Kooperberg, J. Hopper, G. Dite, 2015, Breast Cancer Research and Treatment.

Using SNP genotypes to improve the discrimination of a simple breast cancer risk prediction model

G. Giles, M. Southey, J. Dowty, 2013, Breast Cancer Research and Treatment.

Childhood body mass index and adult mammographic density measures that predict breast cancer risk

G. Giles, J. Hopper, E. Makalic, 2016, Breast Cancer Research and Treatment.

Family-based genetic association study of insulin-like growth factor I microsatellite markers and premenopausal breast cancer risk

N. Boyd, G. Giles, M. Southey, 2009, Breast Cancer Research and Treatment.

Causal effect of smoking on DNA methylation in peripheral blood: a twin and family study

G. Giles, J. Hopper, M. Southey, 2018, Clinical Epigenetics.

Estrogen receptor polymorphism at codon 325 and risk of breast cancer in women before age forty.

G. Giles, M. Southey, G. Dite, 1998, Journal of the National Cancer Institute.

Comparing the frequency of common genetic variants and haplotypes between carriers and non-carriers of BRCA1 and BRCA2 deleterious mutations in Australian women diagnosed with breast cancer before 40 years of age

J. Hopper, M. Southey, G. Dite, 2010, BMC Cancer.

Risk factors for breast cancer in young women by oestrogen receptor and progesterone receptor status

G. Giles, M. Southey, G. Dite, 2003, British Journal of Cancer.

Quantifying the utility of single nucleotide polymorphisms to guide colorectal cancer screening.

Aung Ko Win, J. Hopper, J. Dowty, 2016, Future oncology.

Causal effect of smoking on DNA methylation in peripheral blood: a twin and family study

G. Giles, J. Hopper, M. Southey, 2018, Clinical Epigenetics.

Predictors of Mammographic Density: Insights Gained from a Novel Regression Analysis of a Twin Study

N. Boyd, M. Yaffe, D. English, 2008, Cancer Epidemiology Biomarkers & Prevention.

2q36.3 is associated with prognosis for oestrogen receptor-negative breast cancer patients treated with chemotherapy

Matthias W. Beckmann, Peter A. Fasching, Nur Aishah Mohd Taib, 2014, Nature Communications.

Weight is More Informative than Body Mass Index for Predicting Postmenopausal Breast Cancer Risk: Prospective Family Study Cohort (ProF-SC)

W. Chung, G. Giles, J. Hopper, 2021, Cancer prevention research.

After hMSH2 and hMLH1—what next? Analysis of three‐generational, population‐based, early‐onset colorectal cancer families

D. Bishop, G. Giles, M. Southey, 2002, International journal of cancer.

The Association between Socioeconomic Status and Psychological Distress: A Within and Between Twin Study

G. Dite, N. Reavley, K. Scurrah, 2019, Twin Research and Human Genetics.

Mammographic Density and Candidate Gene Variants: A Twins and Sisters Study

John L Hopper, Lyle C Gurrin, Gillian S Dite, 2007, Cancer Epidemiology Biomarkers & Prevention.

Prospective validation of the breast cancer risk prediction model BOADICEA and a batch-mode version BOADICEACentre

G. Giles, J. Hopper, M. Southey, 2013, British Journal of Cancer.

HRAS1 rare minisatellite alleles and breast cancer in Australian women under age forty years.

G. Giles, M. Southey, G. Dite, 1999, Journal of the National Cancer Institute.

Tracing 8,600 participants 36 years after recruitment at age seven for the Tasmanian Asthma Study

G. Giles, G. Dite, M. Abramson, 2006, Australian and New Zealand journal of public health.

The health effects in the US of quarantine policies based on predicted individual risk of severe COVID-19 outcomes

G. Dite, R. Allman, S. Lovick, 2021, medRxiv.

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

G. Dite, R. Allman, Nicholas M. Murphy, 2020, medRxiv.

Role of tumour molecular and pathology features to estimate colorectal cancer risk for first-degree relatives

Aung Ko Win, J. Potter, G. Giles, 2014, Gut.

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

J. Hopper, G. Dite, R. Allman, 2021, bioRxiv.

BRCA1 mutations and other sequence variants in a population-based sample of Australian women with breast cancer

G. Giles, R. Osborne, G. Dite, 1999, British Journal of Cancer.

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

G. Dite, R. Allman, Nicholas M. Murphy, 2021, Epidemiology and Infection.

BRCA1 promoter deletions in young women with breast cancer and a strong family history: a population-based study.

G. Giles, G. Dite, M. Southey, 2007, European journal of cancer.

Evaluation of variation in the phosphoinositide-3-kinase catalytic subunit alpha oncogene and breast cancer risk

P. Fasching, J. Cerhan, D. Noh, 2011, British Journal of Cancer.

Inference about Causation from Examination of Familial Confounding: Application to Longitudinal Twin Data on Mammographic Density Measures that Predict Breast Cancer Risk

D. English, G. Giles, J. Hopper, 2012, Cancer Epidemiology, Biomarkers & Prevention.

Development and validation of a simple prostate cancer risk prediction model based on age, family history, and polygenic risk

G. Dite, R. Allman, E. Spaeth, 2023, The Prostate.

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

J. Hopper, J. Dowty, E. Makalic, 2020, Journal of clinical medicine.

Cirrus: An Automated Mammography-Based Measure of Breast Cancer Risk Based on Textural Features

Benjamin Goudey, John L Hopper, Enes Makalic, 2018, JNCI cancer spectrum.

Interval breast cancer risk associations with breast density, family history and breast tissue aging

M. Pike, D. English, G. Giles, 2019, International journal of cancer.

Predicting interval and screen-detected breast cancers from mammographic density defined by different brightness thresholds

D. English, G. Giles, J. Hopper, 2018, Breast Cancer Research.

The RAD51D E233G variant and breast cancer risk: population-based and clinic-based family studies of Australian women

G. Giles, J. Hopper, A. Spurdle, 2008, Breast Cancer Research and Treatment.

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

G. Giles, J. Hopper, M. Southey, 2020, International journal of cancer.

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

G. Giles, M. Southey, G. Maskarinec, 2020, medRxiv.

Predicting interval and screen-detected breast cancers from mammographic density defined by different brightness thresholds

D. English, G. Giles, J. Hopper, 2018, Breast Cancer Research.

Breast Cancer Risk Associations with Digital Mammographic Density by Pixel Brightness Threshold and Mammographic System.

J. Hopper, G. Dite, M. Jenkins, 2017, Radiology.

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

Graham G. Giles, Enes Makalic, Carmel Apicella, 2013, Cancer Epidemiology, Biomarkers & Prevention.

Genetic and Environmental Causes of Variation in the Difference Between Biological Age Based on DNA Methylation and Chronological Age for Middle-Aged Women

G. Giles, J. Hopper, M. Southey, 2015, Twin Research and Human Genetics.

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

G. Dite, K. Scurrah, J. Tyler, 2020, Twin Research and Human Genetics.

Causes of variation in epigenetic aging across the lifespan

G. Giles, M. Southey, P. Sachdev, 2020, medRxiv.

DNA methylation-based biological age, genome-wide average DNA methylation, and conventional breast cancer risk factors

G. Giles, J. Hopper, M. Southey, 2019, Scientific Reports.

Associations between environmental breast cancer risk factors and DNA methylation-based risk-predicting measures

G. Giles, J. Hopper, M. Southey, 2018, bioRxiv.

Melanoma risk prediction based on a polygenic risk score and clinical risk factors

G. Dite, R. Allman, E. Spaeth, 2023, Melanoma research.

Validation of a genetic risk score for Arkansas women of color

J. Hopper, G. Dite, Susan A Kadlubar, 2018, PloS one.

Architecture of cortical bone determines in part its remodelling and structural decay.

J. Hopper, G. Dite, E. Seeman, 2013, Bone.

Regular use of aspirin and other non-steroidal anti-inflammatory drugs and breast cancer risk for women at familial or genetic risk: a cohort study

Rebecca D. Kehm, G. Giles, E. John, 2019, Breast Cancer Research.

Using Bivariate Models to Understand between‐ and within‐Cluster Regression Coefficients, with Application to Twin Data

J. Carlin, J. Sterne, J. Hopper, 2006, Biometrics.

Validation of a breast cancer risk prediction model based on the key risk factors: family history, mammographic density and polygenic risk

G. Dite, R. Allman, E. Spaeth, 2023, Breast Cancer Research and Treatment.

Prevalence of self-reported arm morbidity following treatment for breast cancer in the Australian Breast Cancer Family Study.

G. Giles, G. Dite, J. Hopper, 2001, Breast.

Risks for Relatives

J. Hopper, G. Dite, G. Byrnes, 2017 .

Ability of known susceptibility SNPs to predict colorectal cancer risk for persons with and without a family history

Aung Ko Win, J. Emery, J. Potter, 2018, bioRxiv.

Comparing Five-Year and Lifetime Risks of Breast Cancer in the Prospective Family Study Cohort.

A. Whittemore, W. Chung, G. Giles, 2020, Journal of the National Cancer Institute.

Recreational physical activity is associated with reduced breast cancer risk in adult women at high risk for breast cancer: a cohort study of women selected for familial and genetic risk.

Rebecca D. Kehm, W. Chung, G. Giles, 2019, Cancer research.

Testing for Gene-Environment Interactions Using a Prospective Family Cohort Design: Body Mass Index in Early and Later Adulthood and Risk of Breast Cancer

Aung Ko Win, G. Giles, M. Southey, 2017, American journal of epidemiology.

Variance of age-specific log incidence decomposition (VALID): a unifying model of measured and unmeasured genetic and non-genetic risks.

J. Mathews, G. Giles, M. Southey, 2023, International journal of epidemiology.

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

G. Dite, K. Scurrah, S. Crofts, 2021, Twin Research and Human Genetics.

Edinburgh Research Explorer Assessment of interactions between 205 breast cancer susceptibility loci and 13 established risk factors in relation to breast cancer risk in the Breast Cancer Association Consortium

Katja, James Y. Dai, Marike, 2019 .

Morphological predictors of BRCA1 germline mutations in young women with breast cancer

M. Southey, J. Dowty, G. Dite, 2011, British Journal of Cancer.

Tumour morphology predicts PALB2 germline mutation status

Daniel J. Park, G. Giles, J. Hopper, 2013, British Journal of Cancer.

A protein‐truncating mutation in CYP17A1 in three sisters with early‐onset breast cancer

G. Giles, J. Hopper, A. Spurdle, 2005, Human mutation.

Genetic associations with severe COVID-19

G. Dite, R. Allman, N. Murphy, 2021, medRxiv.

The FANCM:p.Arg658* truncating variant is associated with risk of triple-negative breast cancer

Jane E. Carpenter, W. Chung, M. Beckmann, 2019, npj Breast Cancer.

Risks to Relatives

J. Hopper, G. Dite, G. Byrnes, 2008 .

Cytomegalovirus, Epstein–Barr virus and risk of breast cancer before age 40 years: a case–control study

D. Gertig, G. Giles, M. Southey, 2004, British Journal of Cancer.

Ability of known susceptibility SNPs to predict colorectal cancer risk for persons with and without a family history

Aung Ko Win, J. Emery, J. Potter, 2018, Familial Cancer.

Genetic and Environmental Factors in Invasive Cervical Cancer: Design and Methods of a Classical Twin Study

D. Gertig, J. Hopper, S. Garland, 2016, Twin Research and Human Genetics.

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

G. Giles, M. Southey, P. Sachdev, 2020, Clinical Epigenetics.

Causal relationships between breast cancer risk factors based on mammographic features

Osamah M. Al-Qershi, M. Southey, J. Dowty, 2023, Breast Cancer Research.

Common genetic variants associated with breast cancer and mammographic density measures that predict disease.

D. English, G. Giles, J. Hopper, 2010, Cancer research.

Predicting 10-Year Risk of Pancreatic Cancer Using a Combined Genetic and Clinical Model

G. Dite, R. Allman, Chi Kuen Wong, 2023, Gastro hep advances.

Validation of a clinical and genetic model for predicting severe COVID-19

G. Dite, R. Allman, Nicholas M. Murphy, 2022, Epidemiology and Infection.