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Long-lived individuals delay aging and age-related diseases like diabetes, hypertension, and cardiovascular disease. The exact underlying mechanisms are largely unknown, but enhanced mitochondrial biogenesis and preservation of mitochondrial function have been suggested to explain healthy ageing. We investigated whether individuals belonging to long-lived families have altered mitochondrial DNA (mtDNA) content, as a biomarker of mitochondrial biogenesis and measured expression of genes regulating mitochondrial biogenesis. mtDNA and nuclear DNA (nDNA) levels were measured in blood samples from 2,734 participants from the Leiden Longevity Study: 704 nonagenarian siblings, 1,388 of their middle-aged offspring and 642 controls. We confirmed a negative correlation of mtDNA content in blood with age and a higher content in females. The middle-aged offspring had, on average, lower levels of mtDNA than controls and the nonagenarian siblings had an even lower mtDNA content (mtDNA/nDNA ratio = 0.744 ± 0.065, 0.767 ± 0.058 and 0.698 ± 0.074, respectively; p controls-offspring = 3.4 × 10(-12), p controls-nonagenarians = 6.5 × 10(-6)), which was independent of the confounding effects of age and gender. Subsequently, we examined in a subset of the study the expression in blood of two genes regulating mitochondrial biogenesis, YY1 and PGC-1α. We found a positive association of YY1 expression and mtDNA content in controls. The observed absence of such an association in the offspring suggests an altered regulation of mitochondrial biogenesis in the members of long-lived families. In conclusion, in this study, we show that mtDNA content decreases with age and that low mtDNA content is associated with familial longevity. Our data suggest that preservation of mitochondrial function rather than enhancing mitochondrial biogenesis is a characteristic of long-lived families.

In genome-wide association studies (GWAS) of complex traits, single SNP analysis is still the most applied approach. However, the identified SNPs have small effects and provide limited biological insight. A more appropriate approach to interpret GWAS data of complex traits is to analyze the combined effect of a SNP set grouped per pathway or gene region. We used this approach to study the joint effect on human longevity of genetic variation in two candidate pathways, the insulin/insulin-like growth factor (IGF-1) signaling (IIS) pathway and the telomere maintenance (TM) pathway. For the analyses, we used genotyped GWAS data of 403 unrelated nonagenarians from long-lived sibships collected in the Leiden Longevity Study and 1,670 younger population controls. We analyzed 1,021 SNPs in 68 IIS pathway genes and 88 SNPs in 13 TM pathway genes using four self-contained pathway tests (PLINK set-based test, Global test, GRASS and SNP ratio test). Although we observed small differences between the results of the different pathway tests, they showed consistent significant association of the IIS and TM pathway SNP sets with longevity. Analysis of gene SNP sets from these pathways indicates that the association of the IIS pathway is scattered over several genes (AKT1, AKT3, FOXO4, IGF2, INS, PIK3CA, SGK, SGK2, and YWHAG), while the association of the TM pathway seems to be mainly determined by one gene (POT1). In conclusion, this study shows that genetic variation in genes involved in the IIS and TM pathways is associated with human longevity.