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.):


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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
    rs10496799 NXPH2 1.4e-05 1345 cohort + 1087 offspring American Genome-Wide Association Study 17903295
    rs7583529 CFLAR 3.15 6.45e-05 410 vs 553 Italian 90–109 Genome-Wide Association Study 21612516
    rs4505466 SH3BP4 2.06 8.31e-05 410 vs 553 Italian 90–109 Genome-Wide Association Study 21612516
    rs16944 IL1B 0.08 250 vs 400 Finn >90 Candidate Region/Gene 11640949
    rs1800587 IL1A 0.31 250 vs 400 Finn >90 Candidate Region/Gene 11640949
    rs1801278 IRS1 0.337 122 vs 122 Japanese mean age 106.8 Candidate Region/Gene 15582274
    rs1143634 IL1B 0.53 250 vs 400 Finn >90 Candidate Region/Gene 11640949
    rs744373 BIN1 0.689 1364 American, British Age range 50-108; mean age at death 80.2 A G Candidate Region/Gene 22445811
    rs1801123 IRS1 0.774 122 vs 122 Japanese mean age 106.8 Candidate Region/Gene 15582274
    • 9 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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