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Meta-Analysis
. 2019 Aug 14;10(1):3669.
doi: 10.1038/s41467-019-11558-2.

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

Joris Deelen  1   2 Daniel S Evans  3 Dan E Arking  4 Niccolò Tesi  5   6   7 Marianne Nygaard  8 Xiaomin Liu  9   10 Mary K Wojczynski  11 Mary L Biggs  12   13 Ashley van der Spek  14 Gil Atzmon  15   16 Erin B Ware  17 Chloé Sarnowski  18 Albert V Smith  19   20 Ilkka Seppälä  21 Heather J Cordell  22 Janina Dose  23 Najaf Amin  14 Alice M Arnold  12 Kristin L Ayers  24 Nir Barzilai  16 Elizabeth J Becker  25 Marian Beekman  26 Hélène Blanché  27 Kaare Christensen  8   28   29 Lene Christiansen  8   30 Joanna C Collerton  31 Sarah Cubaynes  32 Steven R Cummings  33 Karen Davies  34 Birgit Debrabant  35 Jean-François Deleuze  27   36 Rachel Duncan  31   37 Jessica D Faul  17 Claudio Franceschi  38   39 Pilar Galan  40 Vilmundur Gudnason  20   41 Tamara B Harris  42 Martijn Huisman  43   44 Mikko A Hurme  45 Carol Jagger  31   37 Iris Jansen  5   46 Marja Jylhä  47 Mika Kähönen  48 David Karasik  49   50 Sharon L R Kardia  51 Andrew Kingston  31   37 Thomas B L Kirkwood  37 Lenore J Launer  42 Terho Lehtimäki  21 Wolfgang Lieb  52 Leo-Pekka Lyytikäinen  21 Carmen Martin-Ruiz  34 Junxia Min  53 Almut Nebel  23 Anne B Newman  54 Chao Nie  9 Ellen A Nohr  55 Eric S Orwoll  56 Thomas T Perls  57 Michael A Province  11 Bruce M Psaty  13   58   59   60 Olli T Raitakari  61   62 Marcel J T Reinders  7 Jean-Marie Robine  32   63 Jerome I Rotter  64   65 Paola Sebastiani  18 Jennifer Smith  17   51 Thorkild I A Sørensen  66   67 Kent D Taylor  64   68 André G Uitterlinden  14   69 Wiesje van der Flier  5   43 Sven J van der Lee  5   6 Cornelia M van Duijn  14   70 Diana van Heemst  71 James W Vaupel  72 David Weir  17 Kenny Ye  73 Yi Zeng  74   75 Wanlin Zheng  33 Henne Holstege  5   6   7 Douglas P Kiel  50   76   77 Kathryn L Lunetta  18 P Eline Slagboom  78 Joanne M Murabito  79   80
Affiliations
Meta-Analysis

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

Joris Deelen et al. Nat Commun. .

Erratum in

  • Publisher Correction: A meta-analysis of genome-wide association studies identifies multiple longevity genes.
    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, Seppälä I, Cordell HJ, Dose J, Amin N, Arnold AM, Ayers KL, Barzilai N, Becker EJ, Beekman M, Blanché 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, Gudnason V, Harris TB, Huisman M, Hurme MA, Jagger C, Jansen I, Jylhä M, Kähönen M, Karasik D, Kardia SLR, Kingston A, Kirkwood TBL, Launer LJ, Lehtimäki T, Lieb W, Lyytikäinen LP, 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 JM, Rotter JI, Sebastiani P, Smith J, Sørensen 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. Deelen J, et al. Nat Commun. 2021 Apr 23;12(1):2463. doi: 10.1038/s41467-021-22613-2. Nat Commun. 2021. PMID: 33893282 Free PMC article. No abstract available.

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) 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.

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Conflict of interest statement

The authors declare no competing interests.

Figures

Fig. 1
Fig. 1
Results of the European genome-wide association meta-analyses. Manhattan plot presenting the –log10 P-values from the European genome-wide association meta-analysis of the 90th percentile cases versus all controls (a) and 99th percentile cases versus all controls (b). The red line indicates the threshold for genome-wide significance (P ≤ 5 × 10−8), while the blue line indicates the threshold for genetic variants that showed a suggestive significant association (P ≤ 1 × 10−6). The variants that are reported in Table 2 are highlighted in green. For representation purposes, the maximum of the y-axis was set to 14. Regional association plot for the APOE (c) and GPR78 (d) loci based on the results from the 90th percentile cases versus all controls meta-analysis. The colour of the variants is based on the linkage disequilibrium with rs429358 (ApoE ε4) (c) or rs7676745 (d)
Fig. 2
Fig. 2
Study-specific results for the genetic variants in APOE and GPR78. Forest plots for the ApoE ε4 (a) and ε2 (b) variants and rs7676745 (c) based on the results from the 90th percentile versus all controls analysis. The size of the boxes represents the sample size of the cohort. We had no data available for ApoE ε4 in LLFS and for rs7676745 in DKLS, GEHA Italy, GEHA Danish, LLS (combined with GEHA Dutch), Longevity, and Newcastle 85 + . The data for ApoE ε2 in FHS was based on imputation using the Haplotype Reference Consortium reference panel due to the low-imputation quality of this variant when using the 1000 Genomes reference panel
Fig. 3
Fig. 3
Results of the trans-ethnic genome-wide association meta-analyses. Manhattan plot presenting the –log10 P-values from the trans-ethnic genome-wide association meta-analysis of the 90th percentile cases versus all controls (a) and 99th percentile cases versus all controls (b). The red line indicates the threshold for genome-wide significance (P ≤ 5 × 10−8), while the blue line indicates the threshold for genetic variants that showed a suggestive significant association (P ≤ 1 × 10−6)

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