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
    rs708272 CETP 0.068 523 vs 498 Chinese Mean age 93.4 Candidate Region/Gene 22336474
    HP*1 F/S HP 0.82 0.33 1072 total Italian >88 Candidate Region/Gene 21147083
    rs11074359 COQ7 0.43 213 vs 402 Japanese minimum 95; mean 97.9 Candidate Region/Gene 18765803
    rs7192898 COQ7 0.73 213 vs 402 Japanese minimum 95; mean 97.9 Candidate Region/Gene 18765803
    rs8051232 COQ7 0.9 213 vs 402 Japanese minimum 95; mean 97.9 Candidate Region/Gene 18765803
    rs708272 CETP 1.0 12 vs 190 vs 105 Greek 99-111 Candidate Region/Gene 23389097
    rs5882 CETP 1.0 12 vs 190 vs 105 Greek 99-111 Candidate Region/Gene 23389097
    • 7 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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