Literature DB >> 17460163

Genetics of healthy aging in Europe: the EU-integrated project GEHA (GEnetics of Healthy Aging).

Claudio Franceschi1, Vladyslav Bezrukov, Hélène Blanché, Lars Bolund, Kaare Christensen, Giovanna de Benedictis, Luca Deiana, Efsthatios Gonos, Antti Hervonen, Huanning Yang, Bernard Jeune, Tom B L Kirkwood, Peter Kristensen, Alberta Leon, Pier Giuseppe Pelicci, Leena Peltonen, Michel Poulain, Irene Maeve Rea, José Remacle, Jean Marie Robine, Stefan Schreiber, Ewa Sikora, Pieternella Eline Slagboom, Liana Spazzafumo, Maria Antonietta Stazi, Olivier Toussaint, James W Vaupel.   

Abstract

The aim of the 5-year European Union (EU)-Integrated Project GEnetics of Healthy Aging (GEHA), constituted by 25 partners (24 from Europe plus the Beijing Genomics Institute from China), is to identify genes involved in healthy aging and longevity, which allow individuals to survive to advanced old age in good cognitive and physical function and in the absence of major age-related diseases. To achieve this aim a coherent, tightly integrated program of research that unites demographers, geriatricians, geneticists, genetic epidemiologists, molecular biologists, bioinfomaticians, and statisticians has been set up. The working plan is to: (a) collect DNA and information on the health status from an unprecedented number of long-lived 90+ sibpairs (n = 2650) and of younger ethnically matched controls (n = 2650) from 11 European countries; (b) perform a genome-wide linkage scannning in all the sibpairs (a total of 5300 individuals); this investigation will be followed by linkage disequilibrium mapping (LD mapping) of the candidate chromosomal regions; (c) study in cases (i.e., the 2650 probands of the sibpairs) and controls (2650 younger people), genomic regions (chromosome 4, D4S1564, chromosome 11, 11.p15.5) which were identified in previous studies as possible candidates to harbor longevity genes; (d) genotype all recruited subjects for apoE polymorphisms; and (e) genotype all recruited subjects for inherited as well as epigenetic variability of the mitochondrial DNA (mtDNA). The genetic analysis will be performed by 9 high-throughput platforms, within the framework of centralized databases for phenotypic, genetic, and mtDNA data. Additional advanced approaches (bioinformatics, advanced statistics, mathematical modeling, functional genomics and proteomics, molecular biology, molecular genetics) are envisaged to identify the gene variant(s) of interest. The experimental design will also allow (a) to identify gender-specific genes involved in healthy aging and longevity in women and men stratified for ethnic and geographic origin and apoE genotype; (b) to perform a longitudinal survival study to assess the impact of the identified genetic loci on 90+ people mortality; and (c) to develop mathematical and statistical models capable of combining genetic data with demographic characteristics, health status, socioeconomic factors, lifestyle habits.

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Year:  2007        PMID: 17460163     DOI: 10.1196/annals.1395.003

Source DB:  PubMed          Journal:  Ann N Y Acad Sci        ISSN: 0077-8923            Impact factor:   5.691


  37 in total

1.  Health-related phenotypes and longevity in danish twins.

Authors:  Alexander M Kulminski; Konstantin G Arbeev; Irina V Culminskaya; Svetlana V Ukraintseva; Kaare Christensen; Anatoli I Yashin
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2009-02-10       Impact factor: 6.053

Review 2.  Gene variants as determinants of longevity: focus on the inflammatory factors.

Authors:  Juulia Jylhävä; Mikko Hurme
Journal:  Pflugers Arch       Date:  2009-09-11       Impact factor: 3.657

3.  Cancer and longevity--is there a trade-off? A study of cooccurrence in Danish twin pairs born 1900-1918.

Authors:  Kaare Christensen; Jacob K Pedersen; Jacob V B Hjelmborg; James W Vaupel; Tinna Stevnsner; Niels V Holm; Axel Skytthe
Journal:  J Gerontol A Biol Sci Med Sci       Date:  2012-04-03       Impact factor: 6.053

4.  "Predicting" parental longevity from offspring endophenotypes: data from the Long Life Family Study (LLFS).

Authors:  Anatoli I Yashin; Konstantin G Arbeev; Alexander Kulminski; Ingrid Borecki; Kaare Christensen; Michael Barmada; Evan Hadley; Winifred Rossi; Joseph H Lee; Rong Cheng; Irma T Elo
Journal:  Mech Ageing Dev       Date:  2010-02-23       Impact factor: 5.432

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

Authors:  A Skytthe; S Valensin; B Jeune; E Cevenini; F Balard; M Beekman; V Bezrukov; H Blanche; L Bolund; K Broczek; C Carru; K Christensen; L Christiansen; J C Collerton; R Cotichini; A J M de Craen; S Dato; K Davies; G De Benedictis; L Deiana; F Flachsbart; J Gampe; C Gilbault; E S Gonos; E Haimes; A Hervonen; M A Hurme; D Janiszewska; M Jylhä; T B L Kirkwood; P Kristensen; P Laiho; A Leon; A Marchisio; R Masciulli; A Nebel; G Passarino; G Pelicci; L Peltonen; M Perola; M Poulain; I M Rea; J Remacle; J M Robine; S Schreiber; M Scurti; F Sevini; E Sikora; A Skouteri; P E Slagboom; L Spazzafumo; M A Stazi; V Toccaceli; O Toussaint; O Törnwall; J W Vaupel; K Voutetakis; C Franceschi
Journal:  Exp Gerontol       Date:  2011-08-16       Impact factor: 4.032

6.  BELFAST nonagenarians: nature or nurture? Immunological, cardiovascular and genetic factors.

Authors:  I M Rea
Journal:  Immun Ageing       Date:  2010-05-27       Impact factor: 6.400

7.  High-density genomewide linkage analysis of exceptional human longevity identifies multiple novel loci.

Authors:  Steven E Boyden; Louis M Kunkel
Journal:  PLoS One       Date:  2010-08-31       Impact factor: 3.240

8.  Somatic point mutations in mtDNA control region are influenced by genetic background and associated with healthy aging: a GEHA study.

Authors:  Giuseppina Rose; Giuseppe Romeo; Serena Dato; Paolina Crocco; Amalia C Bruni; Antti Hervonen; Kari Majamaa; Federica Sevini; Claudio Franceschi; Giuseppe Passarino
Journal:  PLoS One       Date:  2010-10-14       Impact factor: 3.240

9.  Centenarians--a useful model for healthy aging? A 29-year follow-up of hospitalizations among 40,000 Danes born in 1905.

Authors:  Henriette Engberg; Anna Oksuzyan; Bernard Jeune; James W Vaupel; Kaare Christensen
Journal:  Aging Cell       Date:  2009-03-27       Impact factor: 9.304

10.  Nature or nurture; BMI and blood pressure at 90. Findings from the Belfast Elderly Longitudinal Free-living Aging STudy (BELFAST).

Authors:  I Maeve Rea; Phyo K Myint; Heiko Mueller; Anne Murphy; G Pooler R Archbold; Helene McNulty; Chris C Patterson
Journal:  Age (Dordr)       Date:  2009-12
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