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Background: The development of Precision Medicine strategies requires high-dimensional phenotypic and genomic data, both of which are highly privacy-sensitive data types. Conventional data management systems lack the capabilities to sufficiently handle the expected large quantities of such sensitive data in a secure manner. PROMISE is a genetic data management concept that implements a highly secure platform for data exchange while preserving patient interests, privacy, and autonomy.
Methods: The concept of PROMISE to democratize genetic data was developed by an interdisciplinary team. It integrates a sophisticated cryptographic concept that allows only the patient to grant selective access to defined parts of his genetic information with single DNA base-pair resolution cryptography. The PROMISE system was developed for research purposes to evaluate the concept in a pilot study with nineteen cardiomyopathy patients undergoing genotyping, questionnaires, and longitudinal follow-up.
Results: The safety of genetic data was very important to 79%, and patients generally regarded the data as highly sensitive. More than half the patients reported that their attitude towards the handling of genetic data has changed after using the PROMISE app for 4 months (median). The patients reported higher confidence in data security and willingness to share their data with commercial third parties, including pharmaceutical companies (increase from 5 to 32%).
Conclusion: PROMISE democratizes genomic data by a transparent, secure, and patient-centric approach. This clinical pilot study evaluating a genetic data infrastructure is unique and shows that patient's acceptance of data sharing can be increased by patient-centric decision-making.
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http://dx.doi.org/10.1007/s00392-021-01942-8 | DOI Listing |
Circ Genom Precis Med
September 2025
Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China (J.Z., S.R., L.C., M.C., F.T., B.A., Y.Y., H.L.).
Background: Previous studies have suggested that the associations between ambient air pollution and atherosclerotic cardiovascular diseases (ASCVD) differ by genotype. A genome-wide approach provides a more comprehensive understanding of this relationship on a genomic scale.
Methods: Using data from ≈300 000 UK Biobank participants, we conducted a genome-wide interaction analysis on 10 745 802 variants.
Circ Genom Precis Med
September 2025
Feinberg School of Medicine, Northwestern University, Chicago, IL (Z.C., P.G., A.G., G.W.).
Background: Genetic variation contributes to atrial fibrillation (AF), but its impact may vary with age. The Research Program contains whole-genome sequencing of data from 100 574 adult participants with linked electronic health records.
Methods: We assessed clinical, monogenic, and polygenic associations with AF in a cross-sectional analysis, stratified by age: <45 years (n=22 290), 45 to 60 years (n=26 805), and >60 years (n=51 659).
F1000Res
September 2025
Cambridge Centre for Proteomics, Department of Biochemistry, University of Cambridge, Cambridge, CB2 1QR, UK.
Background: Subcellular localisation is a determining factor of protein function. Mass spectrometry-based correlation profiling experiments facilitate the classification of protein subcellular localisation on a proteome-wide scale. In turn, static localisations can be compared across conditions to identify differential protein localisation events.
View Article and Find Full Text PDFBr J Psychiatry
September 2025
Neuroscience Research Australia, Randwick, New South Wales, Australia.
Background: Individuals with a family history of bipolar disorder are at increased risk of developing affective psychopathology. Longitudinal imaging studies in young people with familial risk have been limited, and cortical developmental trajectories in the progression towards illness remain obscure.
Aims: To establish high-resolution longitudinal differences in cortical structure that are associated with risk of bipolar disorder.
Ann Med
December 2025
Department of Hospital Pathology, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.
Background: Small cell lung cancer (SCLC) is a highly aggressive neuroendocrine carcinoma (NEC) with poor prognosis due to chemotherapy resistance. Molecular subtypes, including ASCL1, NEUROD1, YAP1 and POU2F3, have distinct clinical implications. POU2F3, linked to a tuft cell-like lineage, represents a non-neuroendocrine subtype found in SCLC and extrapulmonary NECs.
View Article and Find Full Text PDF