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

Title: A meta-analysis of genome-wide association studies identifies multiple longevity genes
Authors: Deelen J; Evans DS; Arking DE; Tesi N; Nygaard M; Liu X; 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 J-F; Duncan R; Faul JD; Franceschi C; Galan P; Gudnason 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 W; Lyytikainen L-P; Martin-Ruiz C; Min J; Nebel A; Newman AB; Nie C; Nohr EA; Orwoll ES; Perls TT; Province MA; Psaty BM; Raitakari OT; Reinders MJT; Robine J-M; 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 W; Holstege H; Kiel DP; Lunetta KL; Slagboom PE; Murabito JM
Source: Nature Communications, 1 December 2019
Publisher Information: Nature Publishing Group
Publication Year: 2019
Collection: Newcastle University Library ePrints Service
Description: © 2019, The Author(s).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) ε4) is associated with lower odds of surviving to the 90th and 99th percentile age, while rs7412 (ApoE ε2) 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.
Document Type: article in journal/newspaper
File Description: application/pdf
Language: unknown
Relation: https://eprints.ncl.ac.uk/259662; https://eprints.ncl.ac.uk/fulltext.aspx?url=259662/00BF0386-CE8E-4725-AAAB-9803978EC9B7.pdf&pub_id=259662
Availability: https://eprints.ncl.ac.uk/259662
Rights: https://creativecommons.org/licenses/by/4.0/
Accession Number: edsbas.504B9487
Database: BASE