Denigma

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 effect: + -
    Longevity‑Associated « 
  • Study type: + -
    Candidate Region/Gene (5)  
  • Variant type: + -
    SNP (5)  
    • 1 2 3 4 5 6 7 8 9 10 11 12
    13 14 15 16 17 18 19 20 21 X Y MT
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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
    rs2075650 TOMM40 1.43 0.006 597 vs 1275 418 vs 450 Sichuan 90+ — — Candidate Region/Gene 24924924
    rs519825 PVRL2 1.28 0.01577 597 vs 1275 418 vs 450 Sichuan 90+ — — Candidate Region/Gene 24924924
    rs405509 APOE 1.18 0.027 597 vs 1275 418 vs 450 Sichuan 90+ — — Candidate Region/Gene 24924924
    rs12978931 PVRL2 1.15 0.0445 597 vs 1275 418 vs 450 Sichuan 90+ — — Candidate Region/Gene 24924924
    rs395908 PVRL2 0.81 0.048 597 vs 1275 418 vs 450 Sichuan 90+ — — Candidate Region/Gene 24924924
    • 5 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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