Franceschi Claudio, Bezrukov Vladyslav, Blanché Hélène, Bolund Lars, Christensen Kaare, de Benedictis Giovanna, Deiana Luca, Gonos Efsthatios, Hervonen Antti, Yang Huanning, Jeune Bernard, Kirkwood Tom B L, Kristensen Peter, Leon Alberta, Pelicci Pier Giuseppe, Peltonen Leena, Poulain Michel, Rea Irene Maeve, Remacle José, Robine Jean Marie, Schreiber Stefan, Sikora Ewa, Slagboom Pieternella Eline, Spazzafumo Liana, Stazi Maria Antonietta, Toussaint Olivier, Vaupel James W
C.I.G.-Interdepartmental Centre "L.Galvani," University of Bologna, Via S. Giacomo 12, 40126 Bologna, Italy.
Ann N Y Acad Sci. 2007 Apr;1100:21-45. doi: 10.1196/annals.1395.003.
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.
由25个合作伙伴(24个来自欧洲,加上中国的北京基因组研究所)组成的为期5年的欧盟综合项目“健康老龄化遗传学(GEHA)”的目标是,识别与健康老龄化和长寿相关的基因,这些基因能使个体在认知和身体功能良好且无主要老年相关疾病的情况下活到高龄。为实现这一目标,已设立了一个连贯、紧密整合的研究项目,该项目联合了人口统计学家、老年病学家、遗传学家、遗传流行病学家、分子生物学家、生物信息学家和统计学家。工作计划如下:(a)从11个欧洲国家前所未有的大量90岁以上长寿同胞对(n = 2650)以及年龄较小的种族匹配对照(n = 2650)中收集DNA和健康状况信息;(b)对所有同胞对(共5300人)进行全基因组连锁扫描;这项调查之后将对候选染色体区域进行连锁不平衡图谱分析(LD图谱分析);(c)在病例(即同胞对中的2650名先证者)和对照(2650名年轻人)中研究先前研究中确定的可能含有长寿基因的基因组区域(4号染色体,D4S1564,11号染色体,11.p15.5);(d)对所有招募的受试者进行载脂蛋白E多态性基因分型;(e)对所有招募的受试者进行线粒体DNA(mtDNA)的遗传和表观遗传变异性基因分型。遗传分析将在集中的表型、遗传和mtDNA数据数据库框架内,通过9个高通量平台进行。预计将采用其他先进方法(生物信息学、高级统计学、数学建模、功能基因组学和蛋白质组学、分子生物学、分子遗传学)来识别感兴趣的基因变体。实验设计还将允许:(a)识别在按种族、地理起源和载脂蛋白E基因型分层的男性和女性中与健康老龄化和长寿相关的性别特异性基因;(b)进行纵向生存研究,以评估所确定的基因座对90岁以上人群死亡率的影响;(c)开发能够将遗传数据与人口统计学特征、健康状况、社会经济因素、生活方式习惯相结合的数学和统计模型。