Browsing by Author "Sikora, Ewa"
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Item Open Access Genome-wide linkage analysis for human longevity: Genetics of Healthy Aging Study.(Aging Cell, 2013-04) Beekman, Marian; Blanché, Hélène; Perola, Markus; Hervonen, Anti; Bezrukov, Vladyslav; Sikora, Ewa; Flachsbart, Friederike; Christiansen, Lene; De Craen, Anton JM; Kirkwood, Tom BL; Rea, Irene Maeve; Poulain, Michel; Robine, Jean-Marie; Valensin, Silvana; Stazi, Maria Antonietta; Passarino, Giuseppe; Deiana, Luca; Gonos, Efstathios S; Paternoster, Lavinia; Sørensen, Thorkild IA; Tan, Qihua; Helmer, Quinta; van den Akker, Erik B; Deelen, Joris; Martella, Francesca; Cordell, Heather J; Ayers, Kristin L; Vaupel, James W; Törnwall, Outi; Johnson, Thomas E; Schreiber, Stefan; Lathrop, Mark; Skytthe, Axel; Westendorp, Rudi GJ; Christensen, Kaare; Gampe, Jutta; Nebel, Almut; Houwing-Duistermaat, Jeanine J; Slagboom, Pieternella Eline; Franceschi, Claudio; GEHA consortiumClear evidence exists for heritability of human longevity, and much interest is focused on identifying genes associated with longer lives. To identify such longevity alleles, we performed the largest genome-wide linkage scan thus far reported. Linkage analyses included 2118 nonagenarian Caucasian sibling pairs that have been enrolled in 15 study centers of 11 European countries as part of the Genetics of Healthy Aging (GEHA) project. In the joint linkage analyses, we observed four regions that show linkage with longevity; chromosome 14q11.2 (LOD = 3.47), chromosome 17q12-q22 (LOD = 2.95), chromosome 19p13.3-p13.11 (LOD = 3.76), and chromosome 19q13.11-q13.32 (LOD = 3.57). To fine map these regions linked to longevity, we performed association analysis using GWAS data in a subgroup of 1228 unrelated nonagenarian and 1907 geographically matched controls. Using a fixed-effect meta-analysis approach, rs4420638 at the TOMM40/APOE/APOC1 gene locus showed significant association with longevity (P-value = 9.6 × 10(-8) ). By combined modeling of linkage and association, we showed that association of longevity with APOEε4 and APOEε2 alleles explain the linkage at 19q13.11-q13.32 with P-value = 0.02 and P-value = 1.0 × 10(-5) , respectively. In the largest linkage scan thus far performed for human familial longevity, we confirm that the APOE locus is a longevity gene and that additional longevity loci may be identified at 14q11.2, 17q12-q22, and 19p13.3-p13.11. As the latter linkage results are not explained by common variants, we suggest that rare variants play an important role in human familial longevity.Item Open Access The co-occurrence of mtDNA mutations on different oxidative phosphorylation subunits, not detected by haplogroup analysis, affects human longevity and is population specific.(Aging Cell, 2014-06) Raule, Nicola; Sevini, Federica; Li, Shengting; Barbieri, Annalaura; Tallaro, Federica; Lomartire, Laura; Vianello, Dario; Montesanto, Alberto; Moilanen, Jukka S; Bezrukov, Vladyslav; Blanché, Hélène; Hervonen, Antti; Christensen, Kaare; Deiana, Luca; Gonos, Efstathios S; Kirkwood, Tom BL; Kristensen, Peter; Kristensen, Peter; Leon, Alberta; Pelicci, Pier Giuseppe; Poulain, Michel; Rea, Irene M; Remacle, Josè; Robine, Jean Marie; Schreiber, Stefan; Sikora, Ewa; Eline Slagboom, Peternella; Spazzafumo, Liana; Antonietta Stazi, Maria; Toussaint, Olivier; Vaupel, James W; Rose, Giuseppina; Majamaa, Kari; Perola, Markus; Johnson, Thomas E; Bolund, Lars; Yang, Huanming; Passarino, Giuseppe; Franceschi, ClaudioTo re-examine the correlation between mtDNA variability and longevity, we examined mtDNAs from samples obtained from over 2200 ultranonagenarians (and an equal number of controls) collected within the framework of the GEHA EU project. The samples were categorized by high-resolution classification, while about 1300 mtDNA molecules (650 ultranonagenarians and an equal number of controls) were completely sequenced. Sequences, unlike standard haplogroup analysis, made possible to evaluate for the first time the cumulative effects of specific, concomitant mtDNA mutations, including those that per se have a low, or very low, impact. In particular, the analysis of the mutations occurring in different OXPHOS complex showed a complex scenario with a different mutation burden in 90+ subjects with respect to controls. These findings suggested that mutations in subunits of the OXPHOS complex I had a beneficial effect on longevity, while the simultaneous presence of mutations in complex I and III (which also occurs in J subhaplogroups involved in LHON) and in complex I and V seemed to be detrimental, likely explaining previous contradictory results. On the whole, our study, which goes beyond haplogroup analysis, suggests that mitochondrial DNA variation does affect human longevity, but its effect is heavily influenced by the interaction between mutations concomitantly occurring on different mtDNA genes.