General practitioners' (GPs) experience, attitudes and needs on clinical genetic services: a systematic review.

Objective: The proliferation and growing demands of genetic testing are anticipated to revolutionise medical practice. As gatekeepers of healthcare systems, general practitioners (GPs) are expected to play a critical role in the provision of clinical genetic services. This paper aims to review existing literature on GPs' experience, attitudes and needs towards clinical genetic services.

Experience and Perceptions of a Family Health History Risk Assessment Tool among Multi-Ethnic Asian Breast Cancer Patients.

A family health history-based risk assessment is particularly valuable for guiding cancer screening and treatment strategies, yet an optimal implementation depends upon end-users' values and needs. This is not only true prior to disease development, but also for those already affected. The aim of this study is to explore perceptions of the value of knowing one's family health history (FHH)-based risk, experience using a patient-facing FHH tool and the potential of the tool for wider implementation.

How practice setting affects family physicians' views on genetic screening: a qualitative study.

Background: Genetic screening (GS), defined as the clinical testing of a population to identify asymptomatic individuals with the aim of providing those identified as high risk with prevention, early treatment, or reproductive options. Genetic screening (GS) improves patient outcomes and is accessible to the community. Family physicians (FPs) are ideally placed to offer GS.

Clinical implementation of an oncology-specific family health history risk assessment tool.

Background: The presence of hereditary cancer syndromes in cancer patients can have an impact on current clinical care and post-treatment prevention and surveillance measures. Several barriers inhibit identification of hereditary cancer syndromes in routine practice. This paper describes the impact of using a patient-facing family health history risk assessment platform on the identification and referral of breast cancer patients to genetic counselling services.

Managing cancer in context of pandemic: a qualitative study to explore the emotional and behavioural responses of patients with cancer and their caregivers to COVID-19.

Objectives: Having to access life-sustaining treatment during the emerging COVID-19 outbreak has placed patients with cancer at an especially vulnerable position notwithstanding their immunocompromised condition. The present study aimed to elucidate cancer patients' and their caregivers' experiences during this outbreak.

Design: Face-to-face semistructured interviews were conducted.

An in-depth exploration of the post-test informational needs of and pathogenic variant carriers in Asia.

Introduction: Identification of one's status as a pathogenic variant carrier often marks the start of navigating challenging decisions related to cancer risk management and result disclosure. Carriers report unmet informational needs, but studies have yet to explore the specific aspects of and how best to fulfill these needs. This study aims to explore the informational needs of pathogenic variant carriers in Asia to inform for the design of educational materials to support risk management decision-making.

The Development and Evaluation of a Diet Quality Index for Asian Toddlers and Its Perinatal Correlates: The GUSTO Cohort Study.

Early childhood diet may have lifelong influences on health outcomes, yet development of indices to assess diet quality is scarce in toddlers, especially in Asian countries. We aimed to develop and evaluate a Diet Quality Index (DQI) in a multi-ethnic Asian mother⁻offspring cohort and identify perinatal correlates of early childhood diet. Based primarily on the Singapore dietary guidelines, the DQI includes seven food components: rice, bread and alternatives; fruit; vegetables; meat and alternatives; milk and dairy products; whole grains; and foods high in sugar.

Performance of Single-Nucleotide Polymorphisms in Breast Cancer Risk Prediction Models: A Systematic Review and Meta-analysis.

Background: SNP risk information can potentially improve the accuracy of breast cancer risk prediction. We aim to review and assess the performance of SNP-enhanced risk prediction models.

Methods: Studies that reported area under the ROC curve (AUC) and/or net reclassification improvement (NRI) for both traditional and SNP-enhanced risk models were identified.