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.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9151530PMC
http://dx.doi.org/10.1007/s00392-021-01942-8DOI Listing

Publication Analysis

Top Keywords

genetic data
20
data
15
promise system
8
genomic data
8
data highly
8
data management
8
pilot study
8
patients reported
8
promise
6
genetic
6

Similar Publications

Monocarboxylates, transported by monocarboxylate transporters (MCTs), have been proposed to influence energy homeostasis and exhibit altered metabolism during exercise. This study investigated the association between the Asp490Glu (T1470A) (rs1049434) polymorphism of the SLC16A1 (MCT1) gene and changes in body composition in males and females with overweight or obesity. The 173 participants (56.

View Article and Find Full Text PDF

Background And Objectives: Methylenetetrahydrofolate reductase (MTHFR) is a key enzyme that regulates folate and homocysteine metabolism. Genetic variation in has been implicated in cerebrovascular disease risk, although research in diverse populations is lacking. We thus aimed to investigate the effect of genetically predicted MTHFR activity on risk of ischemic stroke (IS) and its main subtypes using a multiancestry Mendelian randomization (MR) approach.

View Article and Find Full Text PDF

Purpose: Epstein-Barr virus (EBV)-positive Burkitt lymphoma (BL) affects children in sub-Saharan Africa, but diagnosis via tissue biopsy is challenging. We explored a liquid biopsy approach using targeted next-generation sequencing to detect the -immunoglobulin (-Ig) translocation and EBV DNA, assessing its potential for minimally invasive BL diagnosis.

Materials And Methods: The panel included targets for the characteristic -Ig translocation, mutations in intron 1 of , mutations in exon 2 of , and three EBV genes: EBV-encoded RNA (EBER)1, EBER2, and EBV nuclear antigen 2.

View Article and Find Full Text PDF

Objective: To examine the evidence addressing the management of X-linked hypophosphatemia (XLH) in children to inform treatment recommendations.

Methods: We searched Embase, MEDLINE, Web of Science, and Cochrane Central up to May 2023. Eligible studies included RCTs and observational studies of individuals less than 18yrs with clinically or genetically confirmed XLH.

View Article and Find Full Text PDF

Association between methyl-CpG-binding domain protein 5 gene and depressive symptoms in Mexican population: Results from MxGDAR/Encodat cohort.

Braz J Psychiatry

January 2025

Data Analysis and Survey Unit, Instituto Nacional de Psiquiatría Ramón de la Fuente Muñiz, Mexico City, Mexico. Faculty of Psychology, Universidad Nacional Autónoma de México, Mexico, City, Mexico.

Objective: To explore the association between 75 candidate genes previously reported in subjects with anxiety symptoms (AS) and depressive symptoms (DS) in a Mexican cohort.

Methods: The sample included 2012 individuals from the Mexican Genomic Database for Addiction Research (MxGDAR/Encodat) cohort, 198 showed AS, 266 DS, 66 anxiety and depressive symptoms (ADS), and 1482 healthy controls. The DI-PAD screening questionnaire was used to evaluate lifetime AS and DS.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!