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
    rs282070 MAP3K7 0.0011 288 vs 554 Calabrian 90+, median 92 G Candidate Region/Gene 22576335
    rs2111699 GSTZ1 0.0014 288 vs 554 Calabrian 90+, median 92 A Candidate Region/Gene 22576335
    rs11066301 PTPN11 0.0111 288 vs 554 Calabrian 90+, median 92 Candidate Region/Gene 22576335
    APOA1-MspI-RFLP (−75) APOA1 0.016 229 vs 571 Calabrian 81–109 (median 101) A (=Absence) Candidate Region/Gene 12556235
    rs147610191 APOA4 0.05 229 vs 571 Calabrian 81–109 (median 101) Candidate Region/Gene 12556235
    APOC3-SstI-RFLP (3'UTR, 3238 nt) APOC3 0.05 229 vs 571 Calabrian 81–109 (median 101) Candidate Region/Gene 12556235
    rs1042571 POMC 0.0874 288 vs 554 Calabrian 90+, median 92 Candidate Region/Gene 22576335
    rs3212948 ERCC1 0.1062 288 vs 554 Calabrian 90+, median 92 Candidate Region/Gene 22576335
    • 8 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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