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The Italian National Registry for FSHD: an enhanced data integration and an analytics framework towards Smart Health Care and Precision Medicine for a rare disease
by
Bettio, Cinzia
, Tupler, Rossella
, Bergamaschi, Sonia
, Orsini, Mirko
, Calanchi, Enrico
, Salsi, Valentina
, Gagliardelli, Luca
, Magnotta, Luca
, Kinoshita, June
in
Asymptomatic
/ Clinical medicine
/ Clinical trials
/ Collaboration
/ Data analysis
/ Data collection
/ Data entry
/ Data integration
/ Delivery of Health Care
/ Dystrophy
/ Epidemiology
/ Facioscapulohumeral muscular dystrophy
/ FSHD
/ Gene mapping
/ Genetic counseling
/ Genetic variability
/ Genotypes
/ Health care
/ Human Genetics
/ Humans
/ Information processing
/ Integration
/ Italy
/ Medical importance
/ Medical research
/ Medicine
/ Medicine & Public Health
/ Medicine, Experimental
/ Methods
/ Muscular Dystrophy, Facioscapulohumeral - diagnosis
/ Muscular Dystrophy, Facioscapulohumeral - genetics
/ Online databases
/ Patients
/ Pharmacology/Toxicology
/ Phenotypes
/ Polymorphism
/ Precision Medicine
/ Rare disease registry
/ Rare diseases
/ Rare Diseases - diagnosis
/ Rare Diseases - genetics
/ Registries
/ Registries (in medicine)
/ Registries/ Health Planning/ Health Services
/ Software
/ Web applications
2021
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The Italian National Registry for FSHD: an enhanced data integration and an analytics framework towards Smart Health Care and Precision Medicine for a rare disease
by
Bettio, Cinzia
, Tupler, Rossella
, Bergamaschi, Sonia
, Orsini, Mirko
, Calanchi, Enrico
, Salsi, Valentina
, Gagliardelli, Luca
, Magnotta, Luca
, Kinoshita, June
in
Asymptomatic
/ Clinical medicine
/ Clinical trials
/ Collaboration
/ Data analysis
/ Data collection
/ Data entry
/ Data integration
/ Delivery of Health Care
/ Dystrophy
/ Epidemiology
/ Facioscapulohumeral muscular dystrophy
/ FSHD
/ Gene mapping
/ Genetic counseling
/ Genetic variability
/ Genotypes
/ Health care
/ Human Genetics
/ Humans
/ Information processing
/ Integration
/ Italy
/ Medical importance
/ Medical research
/ Medicine
/ Medicine & Public Health
/ Medicine, Experimental
/ Methods
/ Muscular Dystrophy, Facioscapulohumeral - diagnosis
/ Muscular Dystrophy, Facioscapulohumeral - genetics
/ Online databases
/ Patients
/ Pharmacology/Toxicology
/ Phenotypes
/ Polymorphism
/ Precision Medicine
/ Rare disease registry
/ Rare diseases
/ Rare Diseases - diagnosis
/ Rare Diseases - genetics
/ Registries
/ Registries (in medicine)
/ Registries/ Health Planning/ Health Services
/ Software
/ Web applications
2021
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The Italian National Registry for FSHD: an enhanced data integration and an analytics framework towards Smart Health Care and Precision Medicine for a rare disease
by
Bettio, Cinzia
, Tupler, Rossella
, Bergamaschi, Sonia
, Orsini, Mirko
, Calanchi, Enrico
, Salsi, Valentina
, Gagliardelli, Luca
, Magnotta, Luca
, Kinoshita, June
in
Asymptomatic
/ Clinical medicine
/ Clinical trials
/ Collaboration
/ Data analysis
/ Data collection
/ Data entry
/ Data integration
/ Delivery of Health Care
/ Dystrophy
/ Epidemiology
/ Facioscapulohumeral muscular dystrophy
/ FSHD
/ Gene mapping
/ Genetic counseling
/ Genetic variability
/ Genotypes
/ Health care
/ Human Genetics
/ Humans
/ Information processing
/ Integration
/ Italy
/ Medical importance
/ Medical research
/ Medicine
/ Medicine & Public Health
/ Medicine, Experimental
/ Methods
/ Muscular Dystrophy, Facioscapulohumeral - diagnosis
/ Muscular Dystrophy, Facioscapulohumeral - genetics
/ Online databases
/ Patients
/ Pharmacology/Toxicology
/ Phenotypes
/ Polymorphism
/ Precision Medicine
/ Rare disease registry
/ Rare diseases
/ Rare Diseases - diagnosis
/ Rare Diseases - genetics
/ Registries
/ Registries (in medicine)
/ Registries/ Health Planning/ Health Services
/ Software
/ Web applications
2021
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The Italian National Registry for FSHD: an enhanced data integration and an analytics framework towards Smart Health Care and Precision Medicine for a rare disease
Journal Article
The Italian National Registry for FSHD: an enhanced data integration and an analytics framework towards Smart Health Care and Precision Medicine for a rare disease
2021
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Overview
Background
The
Italian Clinical network for FSHD
(ICNF) has established the Italian National Registry for FSHD (INRF), collecting data from patients affected by Facioscapulohumeral dystrophy (FSHD) and their relatives. The INRF has gathered data from molecular analysis, clinical evaluation, anamnestic information, and family history from more than 3500 participants.
Methods
A data management framework, called
Mediator Environment for Multiple Information Sources
(MOMIS) FSHD Web Platform, has been developed to provide charts, maps and search tools customized for specific needs. Patients’ samples and their clinical information derives from the
Italian Clinical network for FSHD
(ICNF), a consortium consisting of fourteen neuromuscular clinics distributed across Italy. The tools used to collect, integrate, and visualize clinical, molecular and natural history information about patients affected by FSHD and their relatives are described.
Results
The INRF collected the molecular data regarding FSHD diagnosis conducted on 7197 subjects and identified 3362 individuals carrying a
D4Z4 Reduced Allele
(DRA): 1634 were unrelated index cases. In 1032 cases the molecular testing has been extended to 3747 relatives, 1728 carrying a DRA. Since 2009 molecular analysis has been accompanied by clinical evaluation based standardized evaluation protocols. In the period 2009–2020, 3577 clinical forms have been collected, 2059 follow the Comprehensive Clinical Evaluation form (CCEF). The integration of standardized clinical information and molecular data has made possible to demonstrate the wide phenotypic variability of FSHD. The MOMIS (Mediator Environment for Multiple Information Sources) data integration framework allowed performing genotype–phenotype correlation studies, and generated information of medical importance either for clinical practice or genetic counseling.
Conclusion
The platform implemented for the FSHD Registry data collection based on OpenClinica meets the requirement to integrate patient/disease information, as well as the need to adapt dynamically to security and privacy concerns. Our results indicate that the quality of data collection in a multi-integrated approach is fundamental for clinical and epidemiological research in a rare disease and may have great value in allowing us to redefine diagnostic criteria and disease markers for FSHD. By extending the use of the MOMIS data integration framework to other countries and the longitudinal systematic collection of standardized clinical data will facilitate the understanding of disease natural history and offer valuable inputs towards trial readiness. This approach is of high significance to FSHD medical community and also to rare disease research in general.
Publisher
BioMed Central,BioMed Central Ltd,Springer Nature B.V,BMC
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