A meta-analysis of genome-wide association studies identifies multiple 
longevity genes

Deelen, J.; Evans, D. S.; Arking, D. E.; Tesi, N.; Nygaard, M.; Liu, X.; Wojczynski, M. K.; Biggs, M. L.; van der Spek, A.; Atzmon, G.; Ware, E. B.; Sarnowski, C.; Smith, A. V.; Seppala, I.; Cordell, H. J.; Dose, J.; Amin, N.; Arnold, A. M.; Ayers, K. L.; Barzilai, N.; Becker, E. J.; Beekman, M.; Blanche, H.; Christensen, K.; Christiansen, L.; Collerton, J. C.; Cubaynes, S.; Cummings, S. R.; Davies, K.; Debrabant, B.; Deleuze, J. F.; Duncan, R.; Faul, J. D.; Franceschi, C.; Galan, P.; Gudnason, V.; Harris, T. B.; Huisman, M.; Hurme, M. A.; Jagger, C.; Jansen, I.; Jylha, M.; Kahonen, M.; Karasik, D.; Kardia, S. L. R.; Kingston, A.; Kirkwood, T. B. L.; Launer, L. J.; Lehtimaki, T.; Lieb, W.; Lyytikainen, L. P.; Martin-Ruiz, C.; Min, J.; Nebel, A.; Newman, A. B.; Nie, C.; Nohr, E. A.; Orwoll, E. S.; Perls, T. T.; Province, M. A.; Psaty, B. M.; Raitakari, O. T.; Reinders, M. J. T.; Robine, J. M.; Rotter, J. I.; Sebastiani, P.; Smith, J.; Sorensen, T. I. A.; Taylor, K. D.; Uitterlinden, A. G.; van der Flier, W.; van der Lee, S. J.; van Duijn, C. M.; van Heemst, D.; Vaupel, J. W.; Weir, D.; Ye, K.; Zeng, Y.; Zheng, W.; Holstege, H.; Kiel, D. P.; Lunetta, K. L.; Slagboom, P. E.; Murabito, J. M.

doi:10.1038/s41467-019-11558-2

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A meta-analysis of genome-wide association studies identifies multiple longevity genes

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Deelen, J.
Deelen – Genetics and Biomarkers of Human Ageing, Research Groups, Max Planck Institute for Biology of Ageing, Max Planck Society;

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https://www.ncbi.nlm.nih.gov/pubmed/31413261
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Zitation

Deelen, J., Evans, D. S., Arking, D. E., Tesi, N., Nygaard, M., Liu, X., et al. (2019). A meta-analysis of genome-wide association studies identifies multiple longevity genes. Nat Commun, 10(1), 3669. doi:10.1038/s41467-019-11558-2.

Zitierlink: https://hdl.handle.net/21.11116/0000-000B-2B93-F

Zusammenfassung

Human longevity is heritable, but genome-wide association (GWA) studies have had limited success. Here, we perform two meta-analyses of GWA studies of a rigorous longevity phenotype definition including 11,262/3484 cases surviving at or beyond the age corresponding to the 90th/99th survival percentile, respectively, and 25,483 controls whose age at death or at last contact was at or below the age corresponding to the 60th survival percentile. Consistent with previous reports, rs429358 (apolipoprotein E (ApoE) epsilon4) is associated with lower odds of surviving to the 90th and 99th percentile age, while rs7412 (ApoE epsilon2) shows the opposite. Moreover, rs7676745, located near GPR78, associates with lower odds of surviving to the 90th percentile age. Gene-level association analysis reveals a role for tissue-specific expression of multiple genes in longevity. Finally, genetic correlation of the longevity GWA results with that of several disease-related phenotypes points to a shared genetic architecture between health and longevity.