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
    rs10498263 OR4Q3 8.3e-05 1345 cohort + 1087 offspring American Genome-Wide Association Study 17903295
    XRCC3 intron 3 STR 0.0005 430 (case) vs 290 British Mean age 70 15 13 Candidate Region/Gene 16518718
    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
    rs861539 XRCC3 0.97 430 vs 290 British Mean age 70 Candidate Region/Gene 16518718
    • 11 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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