A1 Refereed original research article in a scientific journal

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




AuthorsDeelen J, Evans DS, Arking DE, Tesi N, Nygaard M, Liu XM, Wojczynski MK, Biggs ML, van Der Spek A, Atzmon G, Ware EB, Sarnowski C, Smith AV, Seppala I, Cordell HJ, Dose J, Amin N, Arnold AM, Ayers KL, Barzilai N, Becker EJ, Beekman M, Blanche H, Christensen K, Christiansen L, Collerton JC, Cubaynes S, Cummings SR, Davies K, Debrabant B, Deleuze JF, Duncan R, Faul JD, Franceschi C, Galan P, Gudnaso V, Harris TB, Huisman M, Hurme MA, Jagger C, Jansen I, Jylha M, Kahonen M, Karasik D, Kardia SLR, Kingston A, Kirkwood TBL, Launer LJ, Lehtimaki T, Lieb WG, Lyytikainen LP, Martin-Ruiz C, Min JX, Nebe A, Newman AB, Nie C, Nohr EA, Orwoll ES, Perls TT, Province MA, Psat BM, Raitakari OT, Reinders MJT, Robine JM, Rotter JI, Sebastiani P, Smith J, Sorensen TIA, Taylor KD, Uitterlinden AG, van Der Flier W, van Der Lee SJ, van Duijn CM, van Heemst D, Vaupel JW, Weir D, Ye K, Zeng Y, Zheng WL, Holstege H, Kiel DP, Lunetta KL, Slagboom PE, Murabito JM

PublisherNATURE PUBLISHING GROUP

Publication year2019

JournalNature Communications

Journal name in sourceNATURE COMMUNICATIONS

Journal acronymNAT COMMUN

Article number3669

Volume10

Number of pages14

ISSN2041-1723

eISSN2041-1723

DOIhttps://doi.org/10.1038/s41467-019-11558-2

Web address https://www.nature.com/articles/s41467-019-11558-2

Self-archived copy’s web addresshttps://research.utu.fi/converis/portal/detail/Publication/42013207


Abstract
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) epsilon 4) is associated with lower odds of surviving to the 90th and 99th percentile age, while rs7412 (ApoE epsilon 2) 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.

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