Banque Nationale de Données Maladies Rares (BNDMR): French National Registry of Rare Diseases (France)

Field Names
Records
Coordinating Country
France
Region
France
Brief Database Description

The BNDMR (Banque Nationale de Données Maladies Rares) is a French National Rare Disease Data Registry offering healthcare professionals the ability to collect a minimum data set (MDS) common for all patients in addition to other different complementary data collections for specific care purposes via the BaMaRa application. BaMaRa allows the secure collection and deidentified centralization of medical data from all patients followed-up in BNDMR, based on a minimum data set (SDM-MR). SDM-MR is made up of 60 interoperable items and is routinely collected through BaMaRa in rare disease centers as part of care and discharged into BNDMR after deidentification and data reconciliation. Data access is regulated by a scientific committee. The BaMaRa-BNDMR infrastructure provides an administrative and epidemiological resource for rare diseases in France.

The BNDMR registry is composed of a cohort of more than 1.6 million French patients (adult and pediatric) having a diagnosed/suspected rare disease, seen at least once in expert centers, starting year 2010.

The BNDMR Registry allows the secondary reuse of de-identified health data that can be used in feasibility studies, descriptive studies, studies linked to the SNDS (French National Data Registry System of reimbursed acts and drugs) and other databases/registries.

Database Type
Registry

(Rare disease registry)

Database Source
EHR/EMR
Spontaneous Reports
Frequency of Data Collection
Ongoing
Frequency of Data Update
Monthly
Years Covered
2010 - Present
Population Type
General Population

[Patients residing in France, including overseas Frech territories. The BNDMR registry is composed of a cohort of more than 1.6 million French patients (adult and pediatric) having a diagnosed/suspected rare disease, seen at least once in expert centers, starting year 2010.]

Patient Type
Inpatient and Outpatient

(Patients with a confirmed or suspected rare disease)

Date of Last Update
Ongoing

The French National Registry of Rare Diseases (BNDMR) is updated on an ongoing basis.
This profile was developed for the B.R.I.D.G.E. TO DATA site on April 18, 2025.

Field Names
Records
Database Population Size
1 - 5 Million

(More than 1.6 million)

Active Population Size
1 - 5 Million

(More than 1.6 million)

Annual Change in Population
About 200,000 new cases per year
Sample Weights - Extrapolation Factors
No
Final Population Size
N/A

(Not applicable as data are still being collected)

Field Names
Records
Age of Patients at Data Collection
Yes

(DOB mm/yyyy)

Approximate Percentage of Participants <18 years and those >65 years

N/A

(This information is not available as it requires a specific query. Please contact database manager for details.)

Gender Data
Yes

(Male, Female, non-binary)

Percentage of Males/Females

N/A

(This information is not available as it requires a specific query. Please contact database manager for details.)

Ethnicity / Race Data
No
Geographic Location

Region, department, hospital, center

Date of Birth Recorded
Yes

Date, month and year are captured (dd/mm/yyyy)

Death Recorded
Yes

[Data collected in BaMaRa + verification by linkage to the French National Institute of Statistics and Economic Studies (INSEE - L’Institut national de la statistique et des études économiques) containing the list of people who have died]

Availability of death certificate / autopsy information
No
Other Demographic Data
No
Field Names
Records
Physician ID
No
Physician Specialty
Yes
Pharmacy ID
No
Field Names
Records
Diagnosis Data
Yes

While status is known, some of this data may be missing

Diagnoses Coded
ORPHAcode

(ORPHAcodes, maintained by Orphanet, is the only classification of diseases in which special diagnosis codes can be found for more than 6,000 rare diseases)

Diagnoses: Date Parameters
2010 - Present
Diagnoses: Maximum Number of Codes Allowed
Unlimited
Physical Examination Findings
No
Birth Defect Data
Yes

(Fœtus with parental rare disease/associated mutation)

Cancer Data
No
Infectious Disease Data
Yes

ORPHAcode
There are “rare infectious diseases”; if the patient has a rare infectious disease, s/he will have an associated ORPHA code (e.g., ORPHA:645814 Primary pulmonary tuberculosis). But if the patient has a rare disease AND non-rare infectious disease (for example Meningitis), they do not have information on the infectious disease.

Environmental Exposures
No
Behavioral Data Elements
No
Field Names
Records
Procedure Data
No
Procedures Coded
N/A

(Not applicable)

Number of Procedures Coded
Unlimited
Procedure Date Parameters
2010 - Present
Laboratory Information
Yes

Information is available on genetic investigation/test

Field Names
Records
Drug Data
Yes

Drug related to the rare disease only (nomenclature = Theriaque). Thériaque is an independent French drug database created by the Centre National Hospitalier d'Information sur le Médicament (CNHIM). It provides comprehensive information on approved and marketed drugs in France for healthcare professionals. One of the main characteristics of this database is that all the information has been structured in both coded form and in textual form. This feature allows computerized queries. For the purpose of their work, queries were made on the number of information fields related to therapeutic indications, posology and method of administration, contraindications, drug–drug interactions, special warnings and precautions for use (including pregnancy and lactation, effects on ability to drive and use machines, use in specific populations), undesirable effects and physicochemical incompatibilities. As drug–drug interaction and drug–drug physicochemical incompatibility generally involve two drugs, the result concerning the number of information fields was divided by two for these groups of information.
Visit: https://www.theriaque.org/ for more details.

Drug Date Parameters
2010 - Present

The treatments that can be reported are only those for rare diseases from 2010 onward. These data may however be missing, do they do not apply a systematic review of missing data.

Drug Regimen & Route
No
Drug Manufacturer
No
Drug Dosage
No
Drug Days Supply
No
Drug Coding System: Maximum Number
1
Drug Coding System: Primary
Other

(Theriaque)

Drug Coding System: Other
N/A

(Not applicable)

Drug Generic Name
Yes

(Via Theriaque)

Drug Additional Information
No
Field Names
Records
Biobank Type
N/A
Human Specimen
N/A
Blood Type
N/A
Biomarkers
N/A
Patient ID
N/A
Number of Samples
N/A
Frequency of Sample Collection
N/A
Pre-diagnostic Sample Collection
N/A
Post-treatment Sample Collection
N/A
Method of Sample Collection
N/A
Age at Sample Collection
N/A
Date of Sample Collection
N/A
Reason for Sample Collection
N/A
Method of Sample Storage
N/A
Length of Sample Storage
N/A
Pathology
N/A
DNA Isolation
N/A
RNA Isolation
N/A
Cell Culture
N/A
Genetic Testing
N/A
Access for Research: Specimens
N/A
Access for Research: Genetic Data
N/A
Access for Research: Epidemiologic Data
N/A
Quality Assurance Procedures
N/A
Family History
N/A
Medical History
N/A
Biobank Linkage
N/A
Field Names
Records
Type of Genetic Database
N/A
Source of Genetic Data
N/A
Specimen Genotyped
N/A
Tissue Form
N/A
Genetic Template
N/A
Gene-Drug Response
N/A
Gene-Disease Relationship
N/A
Gene-Health Outcome Relationship
N/A
Gene-Environment Response
N/A
Method of Imputing Genetic Data
N/A
Genetic Variant Identification
N/A
Genetic Data Level
N/A
Genotyping Method
N/A
Method of Genetic Variant Filtering
N/A
Haplotypes
N/A
Haplogroups
N/A
Variable Number of Tandem Repeats (VNTR)
N/A
Single Nucleotide Polymorphisms (SNPs)
N/A
Variant Type
N/A
Variant Class
N/A
Mutation Indicated
N/A
Position
N/A
Amino Acid Change
N/A
Genotype / Polymorphism
N/A
Allele Frequency
N/A
Linkage Disequilibrium (r²)
N/A
Noncarriers Indicated
N/A
Association Statistics
N/A
Genetic Relatedness Pairing
N/A
Data Sharing: Genetic Data
N/A
Access for Research
N/A
Genetic Data Linkage
N/A
Description of Genetic Data Linkage
N/A
Field Names
Records
Cost Data
No
Cost Denomination
N/A

(Not applicable)

Type of Cost Data
N/A

(Not applicable)

Description of Surrogate Link
Yes

Require regulatory submissions
SNDS database (French national database on reimbursed drugs and medical acts)

Field Names
Records
Data Validation Against Original Source
Yes

Data are entered by physicians; validation of data is not systematic

Access to Medical Records
No
Linkage to Other Databases
Yes

Regulatory submissions are required for data linkage. Linkage is often done project by project, to the SNDS database (French national database on reimbursed drugs ans medical acts), for example.

Linkage to other databases could be evaluated.

OMOP conversion is ongoing.

Brief Description of Linkage Capabilities

Regulatory submissions are required for data linkage. Linkage is often done project by project, to the SNDS database (French national database on reimbursed drugs ans medical acts), for example.

Linkage to other databases could be evaluated.

Field Names
Records
Database Contact Data

BNDMR - Banque Nationale de Données Maladies Rares
AP-HP 
33 Boulevard de Picpus
75012 Paris
FRANCE
Contact : Solange ROUMENGOUS
Email 1: solange.roumengous@aphp.fr
Email 2: contact@bndmr.fr

Alternate Contact

Alban LERMINE
Email: alban.lermine@aphp.fr 

Source of Database Funding
Government

[Assistance Publique-Hôpitaux de Paris (AP-HP)]

Sponsoring Government Agency
The AP-HP is a public health establishment and the university hospital center of the Ile-de-France region in France
Sponsoring Pharmaceutical Manufacturer

N/A

(Not applicable)

Database Usage Restrictions
Private Access

Doctors enter their patients' personal data into the BaMaRa application and therefore have access to their patients' data.
In the BNDMR registry, there are pseudonymized data which are accessible after approval by the BNDMR scientific committee which evaluates the legitimacy of the exploitation of the data that can be done by academica and industry.

Charge for Database Usage
No

Access to the data is free for experts from certified centers and paid when funding is granted or for manufacturers. For more information, please contact the database manager.

Data Media Format
PDF Files
Excel / CSV
Text files

Tables and figures

Number of Publications Using Database
>160

For additional references please visit https://www.bndmr.fr/communications-scientifiques/publications-scientifiques/

References of Studies Using/Describing Database

1. Vantyghem MC, Nobécourt E, Vatier C, Bismuth E, Deshuille C, Elarouci N; French Lipodystrophy Reference Network; Jannot AS, Delemer B, Vigouroux C. Lipodystrophy and severe insulin resistance syndrome: epidemiological data from a French national rare diseases registry. Ann Endocrinol (Paris). 2025 Mar 31:101730.

2. Donadille B, Janmaat S, Mosbah H, Belalem I, Lamothe S, Nedelcu M, Jannot AS, Christin-Maitre S, Fève B, Vatier C, Vigouroux C. Diagnostic and referral pathways in patients with rare lipodystrophy and insulin-resistance syndromes: key milestones assessed from a national reference center. Orphanet J Rare Dis. 2024 Apr 27;19(1):177.

3. Angin C, Mazzucato M, Weber S, Kirch K, Abdel Khalek W, Ali H, Maiella S, Olry A, Jannot AS, Rath A. Coding undiagnosed rare disease patients in health information systems: recommendations from the RD-CODE project. Orphanet J Rare Dis. 2024 Jan 27;19(1):28.

4. Mazzucato M, Pozza LV, Facchin P, Angin C, Agius F, Cavero-Carbonell C, Corrochano V, Hanusova K, Kirch K, Lambert D, Lucano C. ORPHAcodes use for the coding of rare diseases: comparison of the accuracy and cross country comparability. Orphanet Journal of Rare Diseases. 2023 Sep 4;18(1):267.

5. Pichon T, Messiaen C, Soussand L, Angin C, Sandrin A, Elarouci N, Jannot AS; BNDMR infrastructure team. Overview of patients' cohorts in the French National rare disease registry. Orphanet J Rare Dis. 2023 Jul 3;18(1):176.

6. Bodemer C, Soussand L, Sandrin A, Khatim A, Sauvestre A, Elarouci N, Jannot AS. French data on the epidemiology and expert healthcare network for epidermolysis bullosa. J Eur Acad Dermatol Venereol. 2023 May;37(5):e597-e599.

7. Soussand L, Kuchenbuch M, Messiaen C, Sandrin A, Jannot AS, Nabbout R. Impact of the COVID-19 pandemic on the care of rare and undiagnosed diseases patients in France: a longitudinal population-based study. Orphanet Journal of Rare Diseases. 2022 Dec 9;17(1):430.

8. Jannot AS, Messiaen C, Khatim A, Pichon T, Sandrin A, BNDMR Infrastructure Team. The ongoing French BaMaRa-BNDMR cohort: implementation and deployment of a nationwide information system on rare disease. Journal of the American Medical Informatics Association. 2022 Mar 1;29(3):553-8.

9. Kallali W, Messiaen C, Saïdi R, Lessim S, Viaud M, Dulon J, Nedelcu M, Samara D, Houang M, Donadille B, Courtillot C, de Filippo G, Carel JC, Christin-Maitre S, Touraine P, Netchine I, Polak M, Léger J. Age at diagnosis in patients with chronic congenital endocrine conditions: a regional cohort study from a reference center for rare diseases. Orphanet J Rare Dis. 2021 Nov 4;16(1):469.

10. Messiaen C, Racine C, Khatim A, Soussand L, Odent S, Lacombe D, Manouvrier S, Edery P, Sigaudy S, Geneviève D, Thauvin-Robinet C, Pasquier L, Petit F, Rossi M, Willems M, Attié-Bitach T, Roux-Levy PH, Demougeot L, Slama LB, Landais P; AnDDI-Rares network; Jannot AS, Binquet C, Sandrin A, Verloes A, Faivre L. 10 years of CEMARA database in the AnDDI-Rares network: a unique resource facilitating research and epidemiology in developmental disorders in France. Orphanet J Rare Dis. 2021 Aug 4;16(1):345.

    Database Contact
    Database Contact Data

    BNDMR - Banque Nationale de Données Maladies Rares
    AP-HP 
    33 Boulevard de Picpus
    75012 Paris
    FRANCE
    Contact : Solange ROUMENGOUS
    Email 1: solange.roumengous@aphp.fr
    Email 2: contact@bndmr.fr

    Alternate Contact

    Alban LERMINE
    Email: alban.lermine@aphp.fr 

    References of Studies Using/Describing Database

    1. Vantyghem MC, Nobécourt E, Vatier C, Bismuth E, Deshuille C, Elarouci N; French Lipodystrophy Reference Network; Jannot AS, Delemer B, Vigouroux C. Lipodystrophy and severe insulin resistance syndrome: epidemiological data from a French national rare diseases registry. Ann Endocrinol (Paris). 2025 Mar 31:101730.

    2. Donadille B, Janmaat S, Mosbah H, Belalem I, Lamothe S, Nedelcu M, Jannot AS, Christin-Maitre S, Fève B, Vatier C, Vigouroux C. Diagnostic and referral pathways in patients with rare lipodystrophy and insulin-resistance syndromes: key milestones assessed from a national reference center. Orphanet J Rare Dis. 2024 Apr 27;19(1):177.

    3. Angin C, Mazzucato M, Weber S, Kirch K, Abdel Khalek W, Ali H, Maiella S, Olry A, Jannot AS, Rath A. Coding undiagnosed rare disease patients in health information systems: recommendations from the RD-CODE project. Orphanet J Rare Dis. 2024 Jan 27;19(1):28.

    4. Mazzucato M, Pozza LV, Facchin P, Angin C, Agius F, Cavero-Carbonell C, Corrochano V, Hanusova K, Kirch K, Lambert D, Lucano C. ORPHAcodes use for the coding of rare diseases: comparison of the accuracy and cross country comparability. Orphanet Journal of Rare Diseases. 2023 Sep 4;18(1):267.

    5. Pichon T, Messiaen C, Soussand L, Angin C, Sandrin A, Elarouci N, Jannot AS; BNDMR infrastructure team. Overview of patients' cohorts in the French National rare disease registry. Orphanet J Rare Dis. 2023 Jul 3;18(1):176.

    6. Bodemer C, Soussand L, Sandrin A, Khatim A, Sauvestre A, Elarouci N, Jannot AS. French data on the epidemiology and expert healthcare network for epidermolysis bullosa. J Eur Acad Dermatol Venereol. 2023 May;37(5):e597-e599.

    7. Soussand L, Kuchenbuch M, Messiaen C, Sandrin A, Jannot AS, Nabbout R. Impact of the COVID-19 pandemic on the care of rare and undiagnosed diseases patients in France: a longitudinal population-based study. Orphanet Journal of Rare Diseases. 2022 Dec 9;17(1):430.

    8. Jannot AS, Messiaen C, Khatim A, Pichon T, Sandrin A, BNDMR Infrastructure Team. The ongoing French BaMaRa-BNDMR cohort: implementation and deployment of a nationwide information system on rare disease. Journal of the American Medical Informatics Association. 2022 Mar 1;29(3):553-8.

    9. Kallali W, Messiaen C, Saïdi R, Lessim S, Viaud M, Dulon J, Nedelcu M, Samara D, Houang M, Donadille B, Courtillot C, de Filippo G, Carel JC, Christin-Maitre S, Touraine P, Netchine I, Polak M, Léger J. Age at diagnosis in patients with chronic congenital endocrine conditions: a regional cohort study from a reference center for rare diseases. Orphanet J Rare Dis. 2021 Nov 4;16(1):469.

    10. Messiaen C, Racine C, Khatim A, Soussand L, Odent S, Lacombe D, Manouvrier S, Edery P, Sigaudy S, Geneviève D, Thauvin-Robinet C, Pasquier L, Petit F, Rossi M, Willems M, Attié-Bitach T, Roux-Levy PH, Demougeot L, Slama LB, Landais P; AnDDI-Rares network; Jannot AS, Binquet C, Sandrin A, Verloes A, Faivre L. 10 years of CEMARA database in the AnDDI-Rares network: a unique resource facilitating research and epidemiology in developmental disorders in France. Orphanet J Rare Dis. 2021 Aug 4;16(1):345.