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Nucleic Acids Research, 2003, Vol. 31, No. 1 286-290
© 2003 Oxford University Press

The MetaFMF website: a high quality tool for meta-analysis of FMF

Denis Pugnère*, Manuel Ruiz1, Cyril Sarrauste de Menthière, Benjamin Masdoua, Jacques Demaille and Isabelle Touitou2

Institute of Human Genetics—CNRS UPR 1142, 141, rue de la Cardonille, 34396 Montpellier Cedex 5, France 1 CIRAD AMIS, Biotrop, UMR 1096—TA40/03, Avenue Agropolis, 34398 Montpellier Cedex 5, France 2 Laboratory of Genetics, A de Villeneuve Hospital, 34295 Montpellier Cedex 5, France

*To whom correspondence should be addressed. Tel: +33 499619909; Fax: +33 499619901; Email: denis.pugnere{at}igh.cnrs.fr
The authors wish it to be known that, in their opinion, the first two authors should be regarded as joint First Authors

ABSTRACT

We present here the MetaFMF database (freely accessible at http://fmf.igh.cnrs.fr/metaFMF/index_us.html) that attempts to gather and unify, in a common resource, data on phenotype–genotype correlation in familial Mediterranean fever (FMF). A single accession form, including a large number of quality controls, has been implemented such that data, collected worldwide, are included in an homogeneous manner. The inclusion criterion has the objective to avoid interpretational bias: patients will be included only if they bear at least two mutations. The clinical form has been set up by an International editorial board (12 FMF expert centres), which guarantees the validity of the data. Data are anonymous and submitted by a secure interface, in which the researcher is logged in with a specific ID and password. A pilot study on 211 patients has shown the feasibility and relevance of this project. We anticipate that the use of MetaFMF will enable reliable assessment of phenotype–genotype correlations in FMF, and define a set of severe versus mild mutations/genotypes. It should also highlight reasons for previous inconsistencies in such correlations.


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