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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    variants.jpg
    polymorphism factor odds ratio pvalue initial number replication number Population age of cases shorter lived allele longer lived allele study type reference
    rs513154 IMPG2 0.52 4.65e-06 410 vs 553 Italian 90–109 Genome-Wide Association Study 21612516
    rs571391 IMPG2 0.55 2.67e-05 410 vs 553 Italian 90–109 Genome-Wide Association Study 21612516
    rs964403 SUMF1 2.07 4.91e-05 410 vs 553 Italian 90–109 Genome-Wide Association Study 21612516
    rs3864051 SUMF1 2.07 5.49e-05 410 vs 553 Italian 90–109 Genome-Wide Association Study 21612516
    rs712773 GRM7 0.66 9.99e-05 410 vs 553 Italian 90–109 Genome-Wide Association Study 21612516
    V465A GABRR3 0.04 390 vs 410 Ashkenazi Jewish Centenarians Candidate Region/Gene 23376243
    rs266729 ADIPOQ10 0.08 213 vs 402 Japanese minimum 95; mean 97.9 Candidate Region/Gene 18765803
    rs2241766 ADIPQO 0.164 110 vs 120 Jordanian mean age 90.2 years G T Candidate Region/Gene 20201642
    rs1063539 ADIPOQ10 0.2 213 vs 402 Japanese minimum 95; mean 97.9 Candidate Region/Gene 18765803
    rs182052 ADIPOQ10 0.22 213 vs 402 Japanese minimum 95; mean 97.9 Candidate Region/Gene 18765803
    rs9861425 ADCY5 0.251 384 vs 384 579 vs 644 Chinese Mean age 102.1±0.20 Candidate Region/Gene 23020224
    rs2305268 PIK3CB 0.363 122 vs 122 Japanese mean age 106.8 Candidate Region/Gene 15582274
    rs4482616 ADCY5 0.398 384 vs 384 579 vs 644 Chinese Mean age 102.1±0.20 Candidate Region/Gene 23020224
    rs266729 ADIPQO 0.635 110 vs 120 Jordanian mean age 90.2 years G C Candidate Region/Gene 20201642
    rs2877709 ADCY5 0.767 384 vs 384 579 vs 644 Chinese Mean age 102.1±0.20 Candidate Region/Gene 23020224
    rs361072 PIK3CB 0.829 122 vs 122 Japanese mean age 106.8 Candidate Region/Gene 15582274
    rs5186 AGTR1 1.15 0.875 173 vs 376 Italian 99-106 (mean 100.9±1.7) Candidate Region/Gene 22569962
    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
    • 23 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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