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 (50)   No Age Effect (97)  
  • Study type: + -
    Genome‑Wide Association Study « 
  • Variant type: + -
    SNP « 
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    Populations | Study Types | Variant Types


    LVDB_word_cloud.png
    logo.png
    variants.jpg
    polymorphism factor odds ratio pvalue initial number replication number Population age of cases shorter lived allele longer lived allele study type reference
    rs1528753 — — 8.1e-08 1345 cohort + 1087 offspring — American — — — Genome-Wide Association Study 17903295
    rs2371208 — — 2.6e-06 1345 cohort + 1087 offspring — American — — — Genome-Wide Association Study 17903295
    rs10496799 NXPH2 — 1.4e-05 1345 cohort + 1087 offspring — American — — — Genome-Wide Association Study 17903295
    rs10489006 — — 3.6e-05 1345 cohort + 1087 offspring — American — — — Genome-Wide Association Study 17903295
    rs3757354 MYLIP — 6.4e-05 1345 cohort + 1087 offspring — American — — — Genome-Wide Association Study 17903295
    rs10493513 — — 1.5e-06 1345 cohort + 1087 offspring — American — — — Genome-Wide Association Study 17903295
    rs10493514 — — 2.8e-06 1345 cohort + 1087 offspring — American — — — Genome-Wide Association Study 17903295
    rs6689491 — — 2e-05 1345 cohort + 1087 offspring — American — — — Genome-Wide Association Study 17903295
    rs10493515 — — 2.3e-05 1345 cohort + 1087 offspring — American — — — Genome-Wide Association Study 17903295
    rs10493518 — — 3.6e-05 1345 cohort + 1087 offspring — American — — — Genome-Wide Association Study 17903295
    rs10493517 — — 4.2e-05 1345 cohort + 1087 offspring — American — — — Genome-Wide Association Study 17903295
    rs6657082 — — 5.5e-05 1345 cohort + 1087 offspring — American — — — Genome-Wide Association Study 17903295
    rs10498263 OR4Q3 — 8.3e-05 1345 cohort + 1087 offspring — American — — — Genome-Wide Association Study 17903295
    rs1915501 — — 0.00011 1345 cohort + 1087 offspring — American — — — Genome-Wide Association Study 17903295
    rs1405051 — — 0.00014 1345 cohort + 1087 offspring — American — — — Genome-Wide Association Study 17903295
    rs6459623 IBRDC2 — 0.00015 1345 cohort + 1087 offspring — American — — — Genome-Wide Association Study 17903295
    rs9330200 TUBB4B — 6e-53 5036 — American 28-70 AA, AT TT Genome-Wide Association Study 22174011
    rs2292664 RIMBP2 — 1.4e-37 5036 — American 28-70 CC, CG GG Genome-Wide Association Study 22174011
    rs5491 ICAM1 — 5e-66 5036 — American 28-70 TT, AT AA Genome-Wide Association Study 22174011
    rs4420638 APOE — 9.6e-08 4445 total (each a part of sibship of 2-5 siblings) — Caucasian, European 90 — — Genome-Wide Association Study 23286790
    rs2495513 TMEM61 0.60 8.13e-05 410 vs 553 — Italian 90–109 — — Genome-Wide Association Study 21612516
    rs4291539 — 1.81 4.41e-05 410 vs 553 — Italian 90–109 — — Genome-Wide Association Study 21612516
    rs10923806 — 2.30 7.24e-06 410 vs 553 — Italian 90–109 — — Genome-Wide Association Study 21612516
    rs1538287 KCNH1 0.55 4.87e-05 410 vs 553 — Italian 90–109 — — Genome-Wide Association Study 21612516
    rs6540664 — 1.46 9e-05 410 vs 553 — Italian 90–109 — — Genome-Wide Association Study 21612516
    • Page 1 of 6
    • 25 of 147 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

    Suggest a new study Report a database issue