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首页> 外文期刊>Annals of the New York Academy of Sciences >Genetics of Healthy Aging in Europe The EU-Integrated Project GEHA (GEnetics of Healthy Aging)
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Genetics of Healthy Aging in Europe The EU-Integrated Project GEHA (GEnetics of Healthy Aging)

机译:欧洲健康老龄化的遗传学欧盟整合项目GEHA(健康老龄化遗传学)

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摘要

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.
机译:由25位合作伙伴(来自欧洲的24位加上来自中国的北京基因组研究所)组成的为期5年的由欧盟(EU)整合的健康衰老基因组学计划(GEHA)的目的是鉴定与健康衰老和长寿有关的基因,可以使个体在良好的认知和身体机能下并且在没有重大年龄相关疾病的情况下存活至高龄。为了实现这一目标,已经建立了一个紧密,紧密集成的研究计划,该计划将人口统计学家,老年学家,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联合起来。该工作计划是:(a)从欧洲11个国家的史无前例的90多个同龄同龄老人(n = 2650)和年轻的,与种族相匹配的对照(n = 2650)中收集DNA和健康状况信息; (b)在所有同胞对(共5300个个体)中进行全基因组连锁扫描;这项研究之后将是候选染色体区域的连锁不平衡作图(LD作图); (c)研究在先前研究中确定为可能候选者的病例(即,同胞对的2650个先证者)和对照(2650个年轻人),基因组区域(4号染色体,D4S1564、11号染色体,11.p15.5)保留长寿基因; (d)所有募集的apoE多态性受试者的基因型; (e)所有线粒体DNA(mtDNA)的遗传以及表观遗传变异的基因型。遗传分析将由9个高通量平台在表型,遗传和mtDNA数据的集中数据库的框架内进行。设想了其他高级方法(生物信息学,高级统计,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)来鉴定目标基因变异体。实验设计还将允许(a)识别按性别和地理起源和apoE基因型分层的男女健康老化和长寿相关的性别特定基因; (b)进行纵向生存研究,以评估已确定的遗传基因座对90多人死亡的影响; (c)建立能够将遗传数据与人口特征,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。

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