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Journal Articles Experimental Gerontology Year : 2011

Design, recruitment, logistics, and data management of the GEHA (Genetics of Healthy Ageing) project

1 SDU - University of Southern Denmark
2 UNIBO - Alma Mater Studiorum Università di Bologna = University of Bologna
3 2L2S - Laboratoire Lorrain de Sciences Sociales
4 INSERM - Institut National de la Santé et de la Recherche Médicale
5 Netherlands Consortium for Healthy Ageing
6 Institute of Gerontology [Kiev]
7 CEPH - Fondation Jean Dausset - Centre d’Etudes du Polymorphisme Humain [Paris]
8 BGI - Beijing Genomics Institute [Shenzhen]
9 Institute of Human Genetics [Aarhus]
10 Nencki Institute of Experimental Biology
11 Medical University of Warsaw - Poland
12 UNISS - Università degli Studi di Sassari = University of Sassari [Sassari]
13 OUH - Odense University Hospital
14 Newcastle University [Newcastle]
15 ISS - Istituto Superiore di Sanità = National Institute of Health
16 LUMC - Leiden University Medical Center
17 UniCal - Università della Calabria [Arcavacata di Rende, Italia] = University of Calabria [Italy] = Université de Calabre [Italie]
18 Institute of Clinical Molecular Biology
19 MPIDR - Max Planck Institute for Demographic Research
20 UCL - Université Catholique de Louvain = Catholic University of Louvain
21 National Hellenic Research Foundation [Athens]
22 Tampere School of Public Health
23 Aarhus University [Aarhus]
24 The National Institute for Health and Welfare
25 Research Innovation [Italy]
26 IFOM Institute of Milan
27 QUB - Queen's University [Belfast]
28 Eppendorf Array Technologies
29 CERMES3 - UMR 8211 / U988 / UM 7 - CERMES3 - Centre de recherche Médecine, sciences, santé, santé mentale, société
30 Istituto Nazionale Ricovero e Cura Anziani
31 UNamur - Université de Namur [Namur]
B. Jeune
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  • PersonId : 938160
Matthias Beekmann


In 2004, the integrated European project GEHA (Genetics of Healthy Ageing) was initiated with the aim of identifying genes involved in healthy ageing and longevity. The first step in the project was the recruitment of more than 2500 pairs of siblings aged 90 years or more together with one younger control person from 15 areas in 11 European countries through a coordinated and standardised effort. A biological sample, preferably a blood sample, was collected from each participant, and basic physical and cognitive measures were obtained together with information about health, life style, and family composition. From 2004 to 2008 a total of 2535 families comprising 5319 nonagenarian siblings were identifiedand included in the project. In addition, 2548 younger control persons aged 50–75 years were recruited. A total of 2249 complete trios with blood samples from at least two old siblings and the younger control were formed and are available for genetic analyses (e.g. linkage studies and genome-wide association studies). Mortality follow-up improves the possibility of identifying families with the most extreme longevity phenotypes. With a mean follow-up time of 3.7 years the number of families with all participating siblings aged 95 years or more has increased by a factor of 5 to 750 families compared to when interviews were conducted. Thus, the GEHA project represents a unique source in the search for genes related to healthy ageing and longevity.
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hal-02937385 , version 1 (21-01-2022)



A. Skytthe, S. Valensin, B. Jeune, E. Cevenini, Frédéric Balard, et al.. Design, recruitment, logistics, and data management of the GEHA (Genetics of Healthy Ageing) project. Experimental Gerontology, 2011, 46 (11), pp.934-945. ⟨10.1016/j.exger.2011.08.005⟩. ⟨hal-02937385⟩
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