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
    rs2755209 FOXO1 0.48 213 vs 402 Japanese minimum 95; mean 97.9 Candidate Region/Gene 18765803
    rs2721069 FOXO1 0.62 213 vs 402 Japanese minimum 95; mean 97.9 Candidate Region/Gene 18765803
    rs2755213 FOXO1 0.77 213 vs 402 Japanese minimum 95; mean 97.9 Candidate Region/Gene 18765803
    −438 G/A TAFI 0.53 0.003 2224 American, Caucasian 65+ G (men) Candidate Region/Gene 15939070
    rs1334241 FOXO1A 1.01 0.87 297 vs 603;279 vs 797;383 vs 363 Caucasian 95.3 ± 2.2_x000D_;+M19994.5 ± 2.1_x000D_;mean 97.7, 95– 112 Candidate Region/Gene 19489743
    rs9315385 DCAMKL1 1.74 8.13e-05 410 vs 553 Italian 90–109 Genome-Wide Association Study 21612516
    rs285097 RNF113B 0.47 7.76e-05 410 vs 553 Italian 90–109 Genome-Wide Association Study 21612516
    rs17630266 FOXO1 1.0 761 vs 1056 350 vs 350 Chinese mean age 102.3 Candidate Region/Gene 19793722

    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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