Longevity Variant Database

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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
    AAT M/Z/S AAT 0.18 1e-07 143 vs 255 vs 127 Italian Centenarians M, S Z Candidate Region/Gene 17048073
    rs12892152 NRXN3 1.87 5.78e-05 403 vs 1670 3746 vs 5912 Dutch Mean age 94 A Genome-Wide Association Study 21418511
    rs10483493 TTC6 1.36 5.9607e-05 801 vs 914 Caucasian Median age 104 A C Genome-Wide Association Study 22279548
    rs10498263 OR4Q3 8.3e-05 1345 cohort + 1087 offspring American Genome-Wide Association Study 17903295
    AAT M/Z/S AAT 0.21 0.0001 143 vs 255 Minimum age 99 M, S Candidate Region/Gene 17048073
    rs3803304 AKT1 0.48 0.00016 294 vs 603;279 vs 797;383 vs 363 Caucasian Mean age 95.3; 94.5; 97.7 C G Candidate Region/Gene 19489743
    rs2075773 ANGEL1 1.50 0.00043588 801 vs 914 Caucasian Median age 104 A C Genome-Wide Association Study 22279548
    rs1076584 VASH1 1.50 0.000456922 801 vs 914 Caucasian Median age 104 G A Genome-Wide Association Study 22279548
    XRCC3 intron 3 STR 0.0005 430 (case) vs 290 British Mean age 70 15 13 Candidate Region/Gene 16518718
    rs1429842 SLC25A21 1.82 0.000540019 801 vs 914 Caucasian Median age 104 A G Genome-Wide Association Study 22279548
    rs4902538 RAD51L1 1.29 0.000661578 801 vs 914 Caucasian Median age 104 G A Genome-Wide Association Study 22279548
    rs2498804 ATK1 0.75 0.001 403 vs 1670 4149 vs 7582 Dutch mean 94 A Genome-Wide Association Study 21418511
    rs2111699 GSTZ1 0.0014 288 vs 554 Calabrian 90+, median 92 A Candidate Region/Gene 22576335
    rs1033686 RAD51L1 1.30 0.002359037 801 vs 914 Caucasian Median age 104 G A Genome-Wide Association Study 22279548
    rs8003961 DLG7 1.10 0.005011434 801 vs 914 Caucasian Median age 104 G A Genome-Wide Association Study 22279548
    rs12050077 TSHR 1.32 0.01 366 vs 163 Ashkenazi Jewish Median age 69 A G Candidate Region/Gene 19837933
    rs10149689 TSHR 1.22 0.08 366 vs 163 Ashkenazi Jewish Median age 69 A G Candidate Region/Gene 19837933
    rs2494732 AKT1 1.04 0.406 2996 vs 1840 Danish, German 92-110 Candidate Region/Gene 22929028
    rs2494748 AKT1 0.95 0.466 1383 vs 736 Danish, German 92-110 Candidate Region/Gene 22929028
    rs2494731 AKT1 1.03 0.503 2996 vs 1840 Danish, German 92-110 Candidate Region/Gene 22929028
    rs1130214 AKT1 0.97 0.544 2996 vs 1840 Danish, German 92-110 Candidate Region/Gene 22929028
    rs3803304 AKT1 0.97 0.544 2996 vs 1840 Danish, German 92-110 Candidate Region/Gene 22929028
    rs2494738 AKT1 1.03 0.718 2996 vs 1840 Danish, German 92-110 Candidate Region/Gene 22929028
    rs3803304 AKT1 0.99 0.784 2702 vs 1840 Danish, German 92-110 Candidate Region/Gene 22929028
    rs2498796 AKT1 0.99 0.788 2996 vs 1840 Danish, German 92-110 Candidate Region/Gene 22929028
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    • 25 of 26 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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