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
    rs9844212 ADCY5 0.901 384 vs 384 579 vs 644 Chinese Mean age 102.1±0.20 Candidate Region/Gene 23020224
    rs12721225 AGTR1 0.37 0.929 173 vs 376 Italian 99-106 (mean 100.9±1.7) Candidate Region/Gene 22569962
    rs5189 AGTR1 0.75 0.945 173 vs 376 Italian 99-106 (mean 100.9±1.7) Candidate Region/Gene 22569962
    rs4677882 ADCY5 0.999 384 vs 384 579 vs 644 Chinese Mean age 102.1±0.20 Candidate Region/Gene 23020224
    rs5182 AGTR1 0.97 1.0 173 vs 376 Italian 99-106 (mean 100.9±1.7) Candidate Region/Gene 22569962
    rs5183 AGTR1 0.27 1.0 173 vs 376 Italian 99-106 (mean 100.9±1.7) Candidate Region/Gene 22569962

    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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