Title :

A Federated Database for Obesity Research: An IMI-SOPHIA Study

Author(s) :

Delfin, Carl [Auteur]
Dragan, Iulian [Auteur]
Swiss Institute of Bioinformatics [Lausanne] [SIB]
Kuznetsov, Dmitry [Auteur]
Swiss Institute of Bioinformatics [Lausanne] [SIB]
Tajes, Juan Fernandez [Auteur]
Lund University
Smit, Femke [Auteur]
Maastricht University [Maastricht]
Coral, Daniel E. [Auteur]
Lund University
Farzaneh, Ali [Auteur]
Erasmus University Medical Center [Rotterdam] [Erasmus MC]
Haugg, André [Auteur]
Boehringer Ingelheim Pharma GmbH & Co. KG
Hungele, Andreas [Auteur]
Universitätsklinikum Ulm - University Hospital of Ulm
German Center for Diabetes Research - Deutsches Zentrum für Diabetesforschung [Neuherberg] [DZD]
Niknejad, Anne [Auteur]
Swiss Institute of Bioinformatics [Lausanne] [SIB]
Hall, Christopher [Auteur]
Ninewells Hospital and Medical School [Dundee]
Jacobs, Daan [Auteur]
Marek, Diana [Auteur]
Swiss Institute of Bioinformatics [Lausanne] [SIB]
Fraser, Diane P. [Auteur]
University of Exeter Medical School
Thuillier, Dorothee [Auteur]
Recherche translationnelle sur le diabète - U 1190 [RTD]
Ahmadizar, Fariba [Auteur]
University Medical Center [Utrecht] [UMCU]
Mehl, Florence [Auteur]
Swiss Institute of Bioinformatics [Lausanne] [SIB]
Pattou, Francois [Auteur]
Recherche translationnelle sur le diabète (RTD) - U1190
Burdet, Frederic [Auteur]
Swiss Institute of Bioinformatics [Lausanne] [SIB]
Hawkes, Gareth [Auteur]
University of Exeter Medical School
Arts, Ilja C. W. [Auteur]
Maastricht University [Maastricht]
Blanch, Jordi [Auteur]
Fundació Institut Universitari per a la recerca a l'Atenció Primària de Salut Jordi Gol i Gurina [IDIAPJGol]
Van Soest, Johan [Auteur]
Maastricht University [Maastricht]
Maastro Lab
Fernández-Real, José-Manuel [Auteur]
Instituto de Salud Carlos III [Madrid] [ISCIII]
Universitat de Girona = University of Girona [UdG]
Institut d'Investigació Biomèdica de Girona Dr. Josep Trueta - Girona Biomedical Research Institute [IDIBGI]
Boehl, Juergen [Auteur]
Boehringer Ingelheim Pharma GmbH & Co. KG
Fink, Katharina [Auteur]
Universitätsklinikum Ulm - University Hospital of Ulm
German Center for Diabetes Research - Deutsches Zentrum für Diabetesforschung [Neuherberg] [DZD]
Van Greevenbroek, Marleen M. J. [Auteur]
Maastricht University [Maastricht]
Kavousi, Maryam [Auteur]
Erasmus University Medical Center [Rotterdam] [Erasmus MC]
Minten, Michiel [Auteur]
Maastricht University [Maastricht]
Prinz, Nicole [Auteur]
Universitätsklinikum Ulm - University Hospital of Ulm
German Center for Diabetes Research - Deutsches Zentrum für Diabetesforschung [Neuherberg] [DZD]
Ipsen, Niels [Auteur]
Franks, Paul W. [Auteur]
Lund University
Ramos, Rafael [Auteur]
Fundació Institut Universitari per a la recerca a l'Atenció Primària de Salut Jordi Gol i Gurina [IDIAPJGol]
Universitat de Girona = University of Girona [UdG]
Université de Genève = University of Geneva [UNIGE]
Institut d'Investigació Biomèdica de Girona Dr. Josep Trueta - Girona Biomedical Research Institute [IDIBGI]
Holl, Reinhard W. [Auteur]
Universitätsklinikum Ulm - University Hospital of Ulm
German Center for Diabetes Research - Deutsches Zentrum für Diabetesforschung [Neuherberg] [DZD]
Horban, Scott [Auteur]
Ninewells Hospital and Medical School [Dundee]
Duarte-Salles, Talita [Auteur]
Fundació Institut Universitari per a la recerca a l'Atenció Primària de Salut Jordi Gol i Gurina [IDIAPJGol]
Erasmus University Medical Center [Rotterdam] [Erasmus MC]
Tran, Van Du T. [Auteur]
Swiss Institute of Bioinformatics [Lausanne] [SIB]
Raverdy, Violeta [Auteur]
Recherche translationnelle sur le diabète (RTD) - U1190
Leal, Yenny [Auteur]
Instituto de Salud Carlos III [Madrid] [ISCIII]
Universitat de Girona = University of Girona [UdG]
Institut d'Investigació Biomèdica de Girona Dr. Josep Trueta - Girona Biomedical Research Institute [IDIBGI]
Lenart, Adam [Auteur]
Pearson, Ewan [Auteur]
Ninewells Hospital and Medical School [Dundee]
Sparsø, Thomas [Auteur]
Giordano, Giuseppe N. [Auteur]
Lund University
Ioannidis, Vassilios [Auteur]
Swiss Institute of Bioinformatics [Lausanne] [SIB]
Soh, Keng [Auteur]
Frayling, Timothy M. [Auteur]
Department of Genetic Medicine and Development [Geneva]
University of Exeter Medical School
Le Roux, Carel W. [Auteur]
University College Dublin [Dublin] [UCD]
Ibberson, Mark [Auteur]
Swiss Institute of Bioinformatics [Lausanne] [SIB]

Journal title :

Life

Volume number :

14

Pages :

262

Publisher :

MDPI

Publication date :

2024-02-16

ISSN :

2075-1729

English keyword(s) :

federated database system
obesity
risk prediction
remote statistical analysis
bioinformatics

HAL domain(s) :

Sciences du Vivant [q-bio]

English abstract : [en]

Obesity is considered by many as a lifestyle choice rather than a chronic progressive disease. The Innovative Medicines Initiative (IMI) SOPHIA (Stratification of Obesity Phenotypes to Optimize Future Obesity Therapy) ...
Show more >Obesity is considered by many as a lifestyle choice rather than a chronic progressive disease. The Innovative Medicines Initiative (IMI) SOPHIA (Stratification of Obesity Phenotypes to Optimize Future Obesity Therapy) project is part of a momentum shift aiming to provide better tools for the stratification of people with obesity according to disease risk and treatment response. One of the challenges to achieving these goals is that many clinical cohorts are siloed, limiting the potential of combined data for biomarker discovery. In SOPHIA, we have addressed this challenge by setting up a federated database building on open-source DataSHIELD technology. The database currently federates 16 cohorts that are accessible via a central gateway. The database is multi-modal, including research studies, clinical trials, and routine health data, and is accessed using the R statistical programming environment where statistical and machine learning analyses can be performed at a distance without any disclosure of patient-level data. We demonstrate the use of the database by providing a proof-of-concept analysis, performing a federated linear model of BMI and systolic blood pressure, pooling all data from 16 studies virtually without any analyst seeing individual patient-level data. This analysis provided similar point estimates compared to a meta-analysis of the 16 individual studies. Our approach provides a benchmark for reproducible, safe federated analyses across multiple study types provided by multiple stakeholders.Show less >

Language :

Anglais

Peer reviewed article :

Oui

Audience :

Internationale

Popular science :

Non

European Project :

Stratification of Obesity Phenotypes to Optimize Future Therapy

Administrative institution(s) :

Université de Lille
Inserm
CHU Lille

Collections :

• Recherche translationnelle sur le diabète (RTD) - U1190

Submission date :

2024-06-26T21:35:27Z
2024-09-13T10:07:03Z