Longevity Variant Database

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    Populations | Study Types | Variant Types



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    polymorphism factor odds ratio pvalue initial number replication number Population age of cases shorter lived allele longer lived allele study type reference
    rs6504441 PRKCA 0.60 2.87e-06 410 vs 553 Italian 90–109 Genome-Wide Association Study 21612516
    rs9899404 GIP 1.30 1.09e-05 801 vs 914 Caucasian Median age 104 G A Genome-Wide Association Study 22279548
    rs2277472 MAMDC1 1.95 7.93e-05 410 vs 553 Italian 90–109 Genome-Wide Association Study 21612516
    rs4594173 MADMC1 1.94 9.81e-05 410 vs 553 Italian 90–109 Genome-Wide Association Study 21612516
    rs7207422 ACCN1 1.34 0.000206202 801 vs 914 Caucasian Median age 104 A G Genome-Wide Association Study 22279548
    rs1005321 HS3ST3B1 1.17 0.000337804 801 vs 914 Caucasian Median age 104 G A Genome-Wide Association Study 22279548
    rs9916344 PITPNM3 1.19 0.000353663 801 vs 914 Caucasian Median age 104 G A Genome-Wide Association Study 22279548
    rs205499 TRIM25 1.29 0.000424485 801 vs 914 Caucasian Median age 104 G A Genome-Wide Association Study 22279548
    rs3816754 RAD51L3 1.68 0.000836276 801 vs 914 Caucasian Median age 104 A C Genome-Wide Association Study 22279548
    rs9894254 CARD14 1.77 0.000864702 801 vs 914 Caucasian Median age 104 G A Genome-Wide Association Study 22279548
    rs4340 ACE 1.90 0.001 300 vs 160 French 100+ I D Candidate Region/Gene 8136829
    rs4340 ACE 0.001 301 vs 172 Croatian mean age 88.2 I D Candidate Region/Gene 21614448
    rs4646994 ACE 2.25 0.003 834 Brazilian 10-104 I D (only for Gaucho population) Candidate Region/Gene 14528043
    rs1042522 TP53 0.88 0.005 9219 participants (Copenhagen City Heart Study) Danish Range: 20-95 G Candidate Region/Gene 18256523
    rs1042522 TP53 0.57 0.006 100 very old vs 280 old vs 189 young Italian 91+, 73-91 P Candidate Region/Gene 23125046
    rs1042522 TP53 0.006 503 vs 569 Italian >81 R Candidate Region/Gene 23125046
    rs2301582 NALP1 1.30 0.011 386 vs 410 541 vs 469 German 100 to 110, mean age = 101.3 C Candidate Region/Gene 20800603
    rs1799752 ACE 0.016 12 vs 190 vs 105 Greek 99-111 D I Candidate Region/Gene 23389097
    GH1 "intron SNP" GH1 0.019 866 Dutch Minimum age 85 Candidate Region/Gene 15771611
    ACE D/I ACE 0.02 689 Danish Minimum age 73 II DI, DD Candidate Region/Gene 12547486
    rs1799752 ACE 0.025 394 vs 238 French 100.6 years Insertion Candidate Region/Gene 9761238
    5-HTTLPR SLC6A4 0.03 15 male, 53 female centenarians (cases) Australian, Caucasian 101.0 ± 0.2 L/L (only for males) Candidate Region/Gene 22985157
    rs4646994 ACE 0.04 227 Uighur individuals, 108 Kazakh individuals, and 89 Han individuals Chinese Old: 59-70, Very old 90-113 I (insertion) Candidate Region/Gene 11773214
    rs4646994 ACE 0.05 4000 Chinese Minimum age 65 DD Candidate Region/Gene 22456784
    indel ACE1 0.05 82 vs 252 Italian Mean age 100 +/- 2 Candidate Region/Gene 12954489
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    • 25 of 36 variants

    The Longevity Variant Database (LVDB) is a collaborative effort to catalogue all published genetic variants relevant to human longevity.

    The project is directed by the Health Extension Research Foundation [http://www.healthextension.co/about/], and the online content is managed by the members of the Global Computing Initiative.

    LVDB is driven by an international collaboration of scientists, programmers, and volunteers, including Joe Betts-LaCroix, Kristen Fortney, Daniel Wuttke, Eric K. Morgen, Nick Schaum, John M. Adams, Jessica Choi, Barry Goldberg, Amir Levine, Maria Litovchenko, Aiste Narkeviciute, Emily Quist, Navneet Ramesh, Justin Rebo, Dmitri Shytikov, and Jimi Vyas. o


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