Publications by authors named "Easton D"

In large cohort studies the number of unaffected individuals outnumbers the number of affected individuals, and the power can be low to detect associations for outcomes with low prevalence. We consider how including recorded family history in regression models increases the power to detect associations between genetic variants and disease risk. We show theoretically and using Monte-Carlo simulations that including a family history of the disease, with a weighting of 0.

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Background: The 313-variant polygenic risk score (PRS) provides a promising tool for clinical breast cancer risk prediction. However, evaluation of the PRS across different European populations which could influence risk estimation has not been performed.

Methods: We explored the distribution of PRS across European populations using genotype data from 94,072 females without breast cancer diagnosis, of European-ancestry from 21 countries participating in the Breast Cancer Association Consortium (BCAC) and 223,316 females without breast cancer diagnosis from the UK Biobank.

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Background: The BOADICEA model predicts breast cancer risk using cancer family history, epidemiological and genetic data. We evaluated its validity in a large prospective cohort.

Methods: We assessed model calibration, discrimination and risk classification ability in 217,885 women (6,838 incident breast cancers) aged 40-70 years old of self-reported White ethnicity with no previous cancer from the UK Biobank.

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Article Synopsis
  • Carriers of BRCA1/2 pathogenic variants were studied to determine their risk of developing cancers during childhood, adolescence, and young adulthood (CAYA).
  • Analysis of data from over 47,000 individuals revealed that while young women with BRCA1/2 mutations had a significantly increased risk of breast cancer in their 20s, no increased risk was found for other types of CAYA cancers.
  • The study concluded that there's little evidence to support routine genetic testing for children of BRCA1/2 carriers or for young cancer patients, as the overall cancer risk appears low aside from breast cancer in young women.
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  • Known genetic risk factors account for about one-third of familial endometrial cancer cases, but the link between rare germline copy number variants (CNVs) and cancer risk is not well understood.
  • A study analyzed DNA from over 4,000 endometrial cancer patients and nearly 18,000 controls, finding that the cancer group had a significantly higher number of CNVs.
  • The research identified 141 gene loci potentially related to endometrial cancer risk, highlighting a specific area (16p11.2) with recurrent deletions that could help further investigations into genetic susceptibility.
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Purpose: Most breast biopsies are diagnosed as benign breast disease (BBD), with 1.5- to fourfold increased breast cancer (BC) risk. Apart from pathologic diagnoses of atypical hyperplasia, few factors aid in BC risk assessment of these patients.

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Exposure to chlorine dioxide by staff working in a gnotobiotic mouse facility at an Australian research institute was measured to determine whether current controls were sufficient to ensure their exposure remains below the current Australian workplace exposure standard. A combination of workplace surveys, interviews with workers, and personal sampling was undertaken to understand the workplace, identify higher-risk tasks, and measure the concentration of chlorine dioxide in the air where the workers conduct routine tasks involving the use of a chlorine dioxide-based disinfectant. Personal sampling utilized the validated Occupational Safety and Health Administration (OSHA) method ID-202, with minor alterations.

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  • Multifactorial cancer risk prediction tools like CanRisk are being increasingly used in healthcare, but effectively communicating this risk information is challenging for healthcare professionals.
  • A 13-month co-design process involved patients, the public, and healthcare professionals to develop a new CanRisk report after receiving feedback on the original.
  • The revised report presents key information for individuals and healthcare professionals, including summaries, explanatory text, and visual aids, enhancing communication around cancer risk management.
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Background: The clinical validity of the multifactorial BOADICEA model for epithelial tubo-ovarian cancer (EOC) risk prediction has not been assessed in a large sample size or over a longer term.

Methods: We evaluated the model discrimination and calibration in the UK Biobank cohort comprising 199,429 women (733 incident EOCs) of European ancestry without previous cancer history. We predicted 10-year EOC risk incorporating data on questionnaire-based risk factors (QRFs), family history, a 36-SNP polygenic risk score and pathogenic variants (PV) in six EOC susceptibility genes (BRCA1, BRCA2, RAD51C, RAD51D, BRIP1 and PALB2).

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  • Clinical genetic testing helps find cancer risks by identifying gene changes, but some of these changes are confusing because we don't know what they mean (called VUS).
  • Researchers studied a huge number of breast cancer patients and healthy people to understand these confusing gene changes better.
  • They found that their method of analyzing data closely matches what other experts say about which gene changes are harmless or harmful, giving more information about 785 unclear changes.
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Background: Deleterious germline variants in and have been associated with a moderately increased risk of breast cancer. Risks for other cancers remain unclear.

Methods: Cancer associations for coding variants in and were evaluated using whole-exome sequence data from UK Biobank linked to cancer registration data (348 488 participants), and analysed both as a retrospective case-control and a prospective cohort study.

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Objectives: Prolonged sitting is associated with an increased risk of musculoskeletal pain, especially in nightshift workers. However, research investigating effects of breaking up sitting on musculoskeletal pain during nightshifts is lacking. This study evaluated effects of prolonged sitting or breaking up sitting with short bouts of light-intensity physical activity on pain in healthy adults during simulated nightshifts.

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Social science research on polio has been centred in the global south, where countries that remain endemic or vulnerable to outbreaks are located. However, closely-related strains of poliovirus were detected in the sewage systems of several New York State counties and London boroughs in 2022. These detections constituted the first encounters with polio in the United States and United Kingdom for a generation - for both public health agencies and publics alike.

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Article Synopsis
  • * Analysis of data from over 55,000 breast cancer patients showed that co-observation of variants in BRCA1, BRCA2, and PALB2 with other breast cancer genes occurred less frequently than expected, suggesting a potential correlation with pathogenicity.
  • * The findings indicate that identifying a variant of uncertain significance alongside a known pathogenic variant supports evidence against the variant's pathogenicity, which could improve variant classification in clinical settings and for other genetic conditions.
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Breast cancer risks in older pathogenic variant carriers are understudied. Recent studies show a marked decline in the relative risk at older ages. We used data from two large studies to update the breast cancer risks in the BOADICEA model for carriers 60 years and older.

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  • Scientists looked at the timing of when girls start their periods (called menarche) and how it can affect their health later in life.
  • They studied about 800,000 women and found over a thousand genetic signals that influence when menstruation starts.
  • Some women have a much higher chance of starting their periods too early or too late based on their genetic makeup, suggesting that genes play a big role in this process!
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Risk-stratified breast screening has been proposed as a strategy to overcome the limitations of age-based screening. A prospective cohort study was undertaken within the PERSPECTIVE I&I project, which will generate the first Canadian evidence on multifactorial breast cancer risk assessment in the population setting to inform the implementation of risk-stratified screening. Recruited females aged 40-69 unaffected by breast cancer, with a previous mammogram, underwent multifactorial breast cancer risk assessment.

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Article Synopsis
  • The study checked how well the BOADICEA model predicts breast cancer risk for people who carry certain gene changes (called pathogenic variants).
  • They looked at information from a group of over 1,600 participants and found that the model worked really well, especially when considering family history and other risk factors.
  • The results can help doctors and patients make better choices about cancer management, and the model can be accessed for free on the CanRisk website.
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Purpose: Mammographic density phenotypes, adjusted for age and body mass index (BMI), are strong predictors of breast cancer risk. BMI is associated with mammographic density measures, but the role of circulating sex hormone concentrations is less clear. We investigated the relationship between BMI, circulating sex hormone concentrations, and mammographic density phenotypes using Mendelian randomization (MR).

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Background: Nineteen genomic regions have been associated with high-grade serous ovarian cancer (HGSOC). We used data from the Ovarian Cancer Association Consortium (OCAC), Consortium of Investigators of Modifiers of (CIMBA), UK Biobank (UKBB), and FinnGen to identify novel HGSOC susceptibility loci and develop polygenic scores (PGS).

Methods: We analyzed >22 million variants for 398,238 women.

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Shift work, involving night work, leads to impaired sleep, cognition, health and wellbeing, and an increased risk of occupational incidents. Current countermeasures include circadian adaptation to phase shift circadian biomarkers. However, evidence of real-world circadian adaptation is found primarily in occupations where light exposure is readily controlled.

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The 313-variant polygenic risk score (PRS) provides a promising tool for breast cancer risk prediction. However, evaluation of the PRS across different European populations which could influence risk estimation has not been performed. Here, we explored the distribution of PRS across European populations using genotype data from 94,072 females without breast cancer, of European-ancestry from 21 countries participating in the Breast Cancer Association Consortium (BCAC) and 225,105 female participants from the UK Biobank.

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Background: Clinical management of Asian and pathogenic variants (PV) carriers remains challenging due to imprecise age-specific breast (BC) and ovarian cancer (OC) risks estimates. We aimed to refine these estimates using six multi-ethnic studies in Asia.

Methods: Data were collected on 271 and 301 families from Malaysia and Singapore, ascertained through population/hospital-based case-series (88%) and genetic clinics (12%).

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