Longevity Variant Database

Narrow results by variant, study, or associated fields (e.g. gene symbol ADRB2):

Use ontology terms to further narrow results (e.g. aging, insulin, etc.):


  • Variant type: + -

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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
    rs10518725 WDR72 1.37 0.000207413 801 vs 914 Caucasian Median age 104 A G Genome-Wide Association Study 22279548
    rs1280396 CGNL1 1.34 0.00099615 801 vs 914 Caucasian Median age 104 G A Genome-Wide Association Study 22279548
    rs2596230 RYR3 1.21 0.004485855 801 vs 914 Caucasian Median age 104 A G Genome-Wide Association Study 22279548
    rs2272037 IGF1R 1.19 0.021 316 vs 603;279 vs 797;383 vs 363 Caucasian 95.3 ± 2.2_x000D_;+M19994.5 ± 2.1_x000D_;mean 97.7, 95– 131 Candidate Region/Gene 19489743
    rs2229765 IGF1R 0.03 218 vs 278 Italian 98 AA or AG Candidate Region/Gene 12843179
    - CYP1A 0.68 94 vs 418 Italian 100 years vs 46 years Candidate Region/Gene 11162685
    • 6 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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