Publications by authors named "Graham Giles"

Aims: Clustering algorithms have been widely applied to tumor DNA methylation datasets to define methylation-based cancer subtypes. This study aimed to evaluate the agreement between subtypes obtained from common clustering strategies.

Materials & Methods: We used tumor DNA methylation data from 409 women with breast cancer from the Melbourne Collaborative Cohort Study (MCCS) and 781 breast tumors from The Cancer Genome Atlas (TCGA).

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Menopausal users of hormone replacement therapy (HRT) are at increased breast cancer risk and decreased colorectal cancer (CRC) risk compared with individuals who have never used HRT, but these opposing associations may differ by familial risk of breast cancer and CRC. We harmonized data from 3 cohorts and generated separate breast cancer and CRC familial risk scores based on cancer family history. We defined moderate or strong family history as a risk score of 0.

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Epigenetic age quantifies biological age using DNA methylation information and is a potential pathway by which physical activity benefits general health. We aimed to assess the cross-sectional and longitudinal associations between physical activity and epigenetic age in middle-aged and older Australians. Blood DNA methylation data for 6208 participants (40% female) in the Melbourne Collaborative Cohort Study (MCCS) were available at baseline (1990-1994, mean age, 59 years) and, of those, for 1009 at follow-up (2003-2007, mean age, 69 years).

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  • Further research on identified regions could enhance our understanding of genetic risks for glioma.
  • The study indicates that sex might influence genetic susceptibility to glioma.
  • It emphasizes the need for future glioma studies to consider sex-specific factors in their analyses.*
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  • Elevated mammographic density (MD) is a significant risk factor for breast cancer, and this study investigates how factors like childbirth, age at first birth, and breastfeeding relate to MD in a large group of women across different countries.
  • The research analyzed data from 11,755 women aged 35-85 years, focusing on how factors such as the number of births and the timing of the first birth influence measurements of MD.
  • The findings suggest that having more children decreases MD, while older age at first birth is linked to higher MD, particularly in post-menopausal women, highlighting the complex relationships between reproductive factors and breast density.
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The role of nutrition in healthy ageing is acknowledged but details of optimal dietary composition are still uncertain. We aimed to investigate the cross-sectional associations between dietary exposures, including macronutrient composition, food groups, specific foods, and overall diet quality, with methylation-based markers of ageing. Blood DNA methylation data from 5310 participants (mean age 59 years) in the Melbourne Collaborative Cohort Study were used to calculate five methylation-based measures of ageing: PCGrimAge, PCPhenoAge, DunedinPACE, ZhangAge, TelomereAge.

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Renal cell carcinoma (RCC) has been associated with germline pathogenic or likely pathogenic (PLP) variants in recognised cancer susceptibility genes. Studies of RCC using gene panel sequencing have been highly variable in terms of study design, genes included, and reported prevalence of PLP variant carriers (4-26%). Studies that restricted their analysis to established RCC predisposition genes identified variants in 1-6% of cases.

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Clonal haematopoiesis of indeterminate potential (CHIP) has been associated with many adverse health outcomes. However, further research is required to understand the critical genes and pathways relevant to CHIP subtypes, evaluate how CHIP clones evolve with time, and further advance functional characterisation and therapeutic studies. Large epidemiological studies are well placed to address these questions but often collect saliva rather than blood from participants.

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Differentially methylated CpG sites (dmCpGs) that distinguish prostate tumour from adjacent benign tissue could aid in the diagnosis and prognosis of prostate cancer. Previously, the identification of such dmCpGs has only been undertaken in radical prostatectomy (RP) samples and not primary diagnostic tumour samples (needle biopsy or transurethral resection of the prostate). We interrogated an Australian dataset comprising 125 tumour and 43 adjacent histologically benign diagnostic tissue samples, including 41 paired samples, using the Infinium Human Methylation450 BeadChip.

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Background: Tea and coffee are the most frequently consumed beverages in the world. Green tea in particular contains compounds with potential anti-cancer effects, but its association with survival after ovarian cancer is uncertain.

Methods: We investigated the associations between tea and coffee consumption before diagnosis and survival using data from 10 studies in the Ovarian Cancer Association Consortium.

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  • - The study investigates how genetic variants affect the relationship between heavy alcohol consumption and the risk of pancreatic cancer, utilizing data from a sizable European ancestry population.
  • - Researchers identified a new relevant genomic region (10p11.22) linked to pancreatic cancer risk and a specific SNP (rs7898449) that suggests this association is influenced by heavy alcohol consumption.
  • - The findings highlight the potential role of the neuropilin 1 gene in pancreatic cancer development, offering new insights into cancer risk factors, especially among heavy drinkers.
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Background: The mechanisms underlying alcohol-induced breast carcinogenesis are not fully understood but may involve hormonal changes.

Methods: Cross-sectional associations were investigated between self-reported alcohol intake and serum or plasma concentrations of estradiol, estrone, progesterone (in premenopausal women only), testosterone, androstenedione, dehydroepiandrosterone sulfate, and sex hormone binding globulin (SHBG) in 45 431 premenopausal and 173 476 postmenopausal women. Multivariable linear regression was performed separately for UK Biobank, European Prospective Investigation into Cancer and Nutrition, and Endogenous Hormones and Breast Cancer Collaborative Group, and meta-analyzed the results.

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Self-rated health (SRH) is a subjective indicator of overall health based on a single questionnaire item. Previous evidence found that it is a strong predictor of mortality, although the underlying mechanism is poorly understood. Epigenetic age is an objective, emerging biomarker of health, estimated using DNA methylation data at hundreds of sites across the genome.

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Alternative polyadenylation (APA) modulates mRNA processing in the 3'-untranslated regions (3' UTR), affecting mRNA stability and translation efficiency. Research into genetically regulated APA has the potential to provide insights into cancer risk. In this study, we conducted large APA-wide association studies to investigate associations between APA levels and cancer risk.

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  • The study examined the relationship between tea and coffee consumption and the incidence of biliary tract cancer (BTC) using data from 15 studies.
  • Drinking tea was linked to a lower risk of gallbladder cancer (GBC) and possibly intrahepatic bile duct cancer (IHBDC), while coffee consumption was associated with a higher risk of GBC.
  • The findings suggest that tea might be protective against certain types of BTC, whereas coffee could increase the risk of GBC, warranting further investigation into these associations.
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To identify credible causal risk variants (CCVs) associated with different histotypes of epithelial ovarian cancer (EOC), we performed genome-wide association analysis for 470,825 genotyped and 10,163,797 imputed SNPs in 25,981 EOC cases and 105,724 controls of European origin. We identified five histotype-specific EOC risk regions (p value <5 × 10) and confirmed previously reported associations for 27 risk regions. Conditional analyses identified an additional 11 signals independent of the primary signal at six risk regions (p value <10).

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Genome-wide association studies (GWAS) have identified more than 200 common genetic variants independently associated with colorectal cancer (CRC) risk, but the causal variants and target genes are mostly unknown. We sought to fine-map all known CRC risk loci using GWAS data from 100,204 cases and 154,587 controls of East Asian and European ancestry. Our stepwise conditional analyses revealed 238 independent association signals of CRC risk, each with a set of credible causal variants (CCVs), of which 28 signals had a single CCV.

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Background: Evidence of an association between dietary fiber intake and risk of advanced and aggressive forms of prostate cancer (PC) and PC mortality is limited.

Objective: The aim of this study was to examine associations between intakes of dietary fiber overall and by food source and risk of advanced and aggressive forms of PC.

Design: The study design was a pooled analysis of the primary data from 15 cohorts in 3 continents.

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  • Menopausal hormone therapy (MHT) may lower the risk of colorectal cancer (CRC), especially in women with a higher genetic predisposition to the disease.
  • In a study of nearly 30,000 postmenopausal women, those in the highest genetic risk quartile saw a significantly greater reduction in CRC risk when using MHT compared to those in the lowest quartile.
  • The findings suggest that integrating genetic risk information could improve CRC risk predictions and inform the assessment of MHT benefits in postmenopausal women.
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Young breast and bowel cancers (e.g., those diagnosed before age 40 or 50 years) have far greater morbidity and mortality in terms of years of life lost, and are increasing in incidence, but have been less studied.

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  • A polygenic risk score (PRS) evaluates the impact of multiple genetic variants on disease risk but may reflect familial confounding rather than direct causation.
  • New methods, ICE FALCON and ICE CRISTAL, analyze family data to determine the causal relationship of PRSs with breast cancer, showing differing results based on the age of diagnosis.
  • Findings indicate no causal link for younger patients (<50 years), while older patients exhibit evidence of causation, suggesting that genetic variants may not directly cause breast cancer but can be related to other familial or nongenetic factors.
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Background: A high body mass index (BMI, kg/m) is associated with decreased risk of breast cancer before menopause, but increased risk after menopause. Exactly when this reversal occurs in relation to menopause is unclear. Locating that change point could provide insight into the role of adiposity in breast cancer etiology.

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Epigenetic age is an emerging marker of health that is highly predictive of disease and mortality risk. There is a lack of evidence on whether lifestyle changes are associated with changes in epigenetic aging. We used data from 1 041 participants in the Melbourne Collaborative Cohort Study with blood DNA methylation measures at baseline (1990-1994, mean age: 57.

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