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 (61)   No Age Effect (26)  
  • Study type: + -
    Candidate Region/Gene (28)   Genome‑Wide Association Study (60)  
  • Variant type: + -
    SNP « 
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    13 14 15 16 17 18 19 20 21 X Y MT
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    Populations | Study Types | Variant Types


    LVDB_word_cloud.png
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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
    rs5491 ICAM1 — 5e-66 5036 — American 28-70 TT, AT AA Genome-Wide Association Study 22174011
    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
    rs1528753 — — 8.1e-08 1345 cohort + 1087 offspring — American — — — Genome-Wide Association Study 17903295
    rs10493513 — — 1.5e-06 1345 cohort + 1087 offspring — American — — — Genome-Wide Association Study 17903295
    rs2371208 — — 2.6e-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
    rs987839 SLCO1B1 — 3.19e-06 1364 — American, British Age range 50-108; mean age at death 80.2 T C Genome-Wide Association Study 22445811
    rs17205854 — — 3.74e-06 1364 — American, British Age range 50-108; mean age at death 80.2 G A Genome-Wide Association Study 22445811
    rs17811551 ADAMTS6 — 3.74e-06 1364 — American, British Age range 50-108; mean age at death 80.2 T C Genome-Wide Association Study 22445811
    rs1857821 NAAA — 5.12e-06 1364 — American, British Age range 50-108; mean age at death 80.2 A G Genome-Wide Association Study 22445811
    rs7525717 — — 5.76e-06 1364 — American, British Age range 50-108; mean age at death 80.2 A G Genome-Wide Association Study 22445811
    rs4673651 ERBB4 — 6.08e-06 1364 — American, British Age range 50-108; mean age at death 80.2 G A Genome-Wide Association Study 22445811
    rs17049647 — — 7.12e-06 1364 — American, British Age range 50-108; mean age at death 80.2 G T Genome-Wide Association Study 22445811
    rs10518142 NAAA — 8.89e-06 1364 — American, British Age range 50-108; mean age at death 80.2 G T Genome-Wide Association Study 22445811
    rs2444861 C8orf47 — 8.99e-06 1364 — American, British Age range 50-108; mean age at death 80.2 A G Genome-Wide Association Study 22445811
    rs1418425 — — 9.64e-06 1364 — American, British Age range 50-108; mean age at death 80.2 A G Genome-Wide Association Study 22445811
    rs2271528 SDAD1 — 1.02e-05 1364 — American, British Age range 50-108; mean age at death 80.2 C T Genome-Wide Association Study 22445811
    rs1555453 MOBKL2B — 1.07e-05 1364 — American, British Age range 50-108; mean age at death 80.2 A C Genome-Wide Association Study 22445811
    rs13111494 ART3 — 1.28e-05 1364 — American, British Age range 50-108; mean age at death 80.2 A G Genome-Wide Association Study 22445811
    rs12740413 ARHGEF19 — 1.3e-05 1364 — American, British Age range 50-108; mean age at death 80.2 T C Genome-Wide Association Study 22445811
    rs10496799 NXPH2 — 1.4e-05 1345 cohort + 1087 offspring — American — — — Genome-Wide Association Study 17903295
    rs3210458 ACPL2 — 1.52e-05 1364 — American, British Age range 50-108; mean age at death 80.2 C T Genome-Wide Association Study 22445811
    rs4859571 NAAA — 1.56e-05 1364 — American, British Age range 50-108; mean age at death 80.2 G A Genome-Wide Association Study 22445811
    rs7803143 PSCD3 — 1.57e-05 1364 — American, British Age range 50-108; mean age at death 80.2 C T Genome-Wide Association Study 22445811
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    • 25 of 88 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