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pmid: 20800603
Twin studies have shown that longevity in humans is moderately heritable with a genetic component of 25-32%. Experimental model organisms point to the existence of core survival and anti-ageing pathways that have been conserved throughout evolution. It has been shown that mutations in single genes involved in these pathways can either delay or accelerate the ageing process and that many of these genes and pathways are also present in humans. Here, we performed a targeted investigation of selected genes (i) involved in longevity pathways (insulin receptor/insulin-like growth factor-I signaling and energy metabolism, intracellular signaling, apoptosis and stress response) and (ii) in which mutations lead to genetic perturbations in animal models or human diseases. Altogether, we tested 500 nonsynonymous single nucleotide polymorphisms (SNPs) in 343 candidate genes for association with the longevity phenotype in a German sample comprising about 400 centenarians and an equal number of younger control subjects. Thus, this study presents one of the largest candidate studies in human genetic longevity research conducted to-date. The three top-ranking markers, which are located in the genes DUSP6, NALP1 and PERP, revealed p-values≤0.01 in the allelic case-control comparisons. Although the association signals in Germans were not replicated in an independent French sample, the large number of analysis results is deemed a valuable reference point for further genetic studies.
Adult, Aged, 80 and over, Male, Adolescent, Models, Genetic, Longevity, Middle Aged, Polymorphism, Single Nucleotide, Case-Control Studies, Humans, Female, Genetic Predisposition to Disease, Tumor Suppressor Protein p53, Alleles, Aged
Adult, Aged, 80 and over, Male, Adolescent, Models, Genetic, Longevity, Middle Aged, Polymorphism, Single Nucleotide, Case-Control Studies, Humans, Female, Genetic Predisposition to Disease, Tumor Suppressor Protein p53, Alleles, Aged
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 17 | |
popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |