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Introduction: People of Ashkenazi Jewish (AJ) ancestry are more likely than unselected populations to have a pathogenic variant, which cause a significantly increased risk of breast, ovarian and prostate cancer. Three specific pathogenic variants, referred to as -Jewish founder mutations (B-JFM), account for >90% of pathogenic variants in people of AJ ancestry. Current practice of identifying eligible individuals for testing based on personal and/or family history has been shown to miss at least 50% of people who have one of these variants. Here we describe the protocol of the JeneScreen study-a study established to develop and evaluate two different population-based B-JFM screening programmes, offered to people of Jewish ancestry in Sydney and Melbourne, Australia.
Methods And Analysis: To rmeasure the acceptability of population-based B-JFM screening in Australia, two screening programmes using different methodologies have been developed. The Sydney JeneScreen programme provides information and obtains informed consent by way of an online tool. The Melbourne JeneScreen programme does this by way of community sessions attended in person. Participants complete questionnaires to measure clinical and psychosocial outcomes at baseline, and for those who have testing, 2 weeks postresult. Participants who decline testing are sent a questionnaire regarding reasons for declining. Participants with a B-JFM are sent questionnaires 12-month and 24-month post-testing. The questionnaires incorporate validated scales, which measure anxiety, decisional conflict and regret, and test-related distress and positive experiences, and other items specifically developed or adapted for the study. These measures will be assessed for each programme and the two population-based B-JFM screening methods will be compared.
Ethics And Dissemination: Institutional Human Research Ethics Committee approval was obtained from the South Eastern Area Health Service Human Research Ethics Committee: HREC Ref 16/125.Following the analysis of the study results, the findings will be disseminated widely through conferences and publications, and directly to participants in writing.
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http://dx.doi.org/10.1136/bmjopen-2020-041186 | DOI Listing |
J Mass Spectrom
October 2025
Graduate Program in Health Sciences, Federal University of Health Sciences of Porto Alegre (UFCSPA), Porto Alegre, Rio Grande do Sul, Brazil.
The laboratory analysis of new psychoactive substances and related drugs is crucial for accurate clinical and forensic diagnosis of poisonings. Given this, a new LC-MS/MS method for analyzing hallucinogens, synthetic cathinones, and synthetic cannabinoids in urine was developed. Urine samples were extracted using a liquid-liquid extraction protocol optimized via a multivariate experimental design.
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Department of Hematology, Tongde Hospital of Zhejiang Province, Hangzhou, China.
Background: T follicular helper (TFH) cell lymphoma is complex, and we hope to provide a new perspective for its diagnosis.
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Results: Among pan-T cell markers, CD4CD5CD3 is the typical pattern that distinguishes TFH lymphoma from other T-cell lymphomas.
Stem Cell Rev Rep
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Department of Medical Genetics and Prenatal Diagnostics, The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
The emergence of organoid models has significantly bridged the gap between traditional cell cultures/animal models and authentic human disease states, particularly for genetic disorders, where their inherent genetic fidelity enables more biologically relevant research directions and enhances translational validity. This review systematically analyzes established organoid models of genetic diseases across organs (e.g.
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Department of Urology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
This study aims to investigate the predictive value of combined phenotypic age and phenotypic age acceleration (PhenoAgeAccel) for benign prostatic hyperplasia (BPH) and develop a machine learning-based risk prediction model to inform precision prevention and clinical management strategies. The study analyzed data from 784 male participants in the US National Health and Nutrition Examination Survey (NHANES, 2001-2008). Phenotypic age was derived from chronological age and nine serum biomarkers.
View Article and Find Full Text PDFNat Rev Neurol
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Department of Neurology, Massachusetts General Hospital, Boston, MA, USA.
Health disparities are preventable differences in health between different populations, and they are endemic throughout medicine owing to social, economic and environmental disadvantages. Neurology is no exception, and health disparities for systematically marginalized groups are present in the prevention, diagnosis, treatment and outcomes of all neurological disorders. The aetiology of these disparities is complex and multifactorial, reflecting the interplay of structural, institutional and individual-level factors.
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