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: + -
    No Age Effect « 
  • Study type: + -
    Candidate Region/Gene (209)   Meta‑Analysis (7)   Genome‑Wide Association Study (97)   Mitochondrial Haplogroup (1)  
  • Variant type: + -
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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
    rs2338013 — 0.67 2.07e-06 763 vs 1085 754 vs 850 German Mean age 99.7 — — Genome-Wide Association Study 21740922
    rs29228 — 0.68 9.12e-06 763 vs 1085 754 vs 850 German Mean age 99.7 — — Genome-Wide Association Study 21740922
    rs3129063 — 0.67 4.33e-06 763 vs 1085 754 vs 850 German Mean age 99.7 — — Genome-Wide Association Study 21740922
    rs3129046 — 0.66 2.21e-07 763 vs 1085 754 vs 850 German Mean age 99.7 — — Genome-Wide Association Study 21740922
    rs1610742 — 0.66 3.02e-07 763 vs 1085 754 vs 850 German Mean age 99.7 — — Genome-Wide Association Study 21740922
    rs1610601 — 0.68 1.98e-06 763 vs 1085 754 vs 850 German Mean age 99.7 — — Genome-Wide Association Study 21740922
    rs1633063 — 0.68 3.82e-06 763 vs 1085 754 vs 850 German Mean age 99.7 — — Genome-Wide Association Study 21740922
    rs11790055 — 1.38 1.49e-05 763 vs 1085 754 vs 850 German Mean age 99.7 — — Genome-Wide Association Study 21740922
    rs10959258 — 1.36 1.86e-05 763 vs 1085 754 vs 850 German Mean age 99.7 — — Genome-Wide Association Study 21740922
    rs9595687 — 0.49 2.09e-05 763 vs 1085 754 vs 850 German Mean age 99.7 — — Genome-Wide Association Study 21740922
    rs1575892 — 0.45 9.32e-06 763 vs 1085 754 vs 850 German Mean age 99.7 — — Genome-Wide Association Study 21740922
    rs16947526 — 0.56 1.23e-05 763 vs 1085 754 vs 850 German Mean age 99.7 — — Genome-Wide Association Study 21740922
    rs158869 — 1.37 4.98e-06 763 vs 1085 754 vs 850 German Mean age 99.7 — — Genome-Wide Association Study 21740922
    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
    rs10489006 — — 3.6e-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
    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
    • Page 1 of 13
    • 25 of 314 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