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 (84)   No Age Effect (161)  
  • Study type: + -
    ‑ (14)   Candidate Region/Gene (180)   Genome‑Wide Association Study (67)   Mitochondrial Haplogroup (1)  
  • Variant type: + -
    SNP (157)   Haplotype (23)   Other (1)   STR (1)   Deletion (1)   VNTR (1)  
    • 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


    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
    AAT M/Z/S AAT 0.18 1e-07 143 vs 255 vs 127 — Italian Centenarians M, S Z Candidate Region/Gene 17048073
    rs4574762 — 0.19 2.29e-06 410 vs 553 — Italian 90–109 — — Genome-Wide Association Study 21612516
    rs6504441 PRKCA 0.60 2.87e-06 410 vs 553 — Italian 90–109 — — Genome-Wide Association Study 21612516
    rs12413082 MSRB2 0.53 3.33e-06 410 vs 553 — Italian 90–109 — — Genome-Wide Association Study 21612516
    rs513154 IMPG2 0.52 4.65e-06 410 vs 553 — Italian 90–109 — — Genome-Wide Association Study 21612516
    rs1582594 — 1.87 4.76e-06 410 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
    rs10514626 — 0.38 1.12e-05 410 vs 553 — Italian 90–109 — — Genome-Wide Association Study 21612516
    rs7873259 ANKRD19 3.14 1.18e-05 410 vs 553 — Italian 90–109 — — Genome-Wide Association Study 21612516
    rs12088486 — 0.56 1.75e-05 410 vs 553 — Italian 90–109 — — Genome-Wide Association Study 21612516
    rs6769400 — 1.91 1.99e-05 410 vs 553 — Italian 90–109 — — Genome-Wide Association Study 21612516
    rs11237644 — 1.52 2.11e-05 410 vs 553 — Italian 90–109 — — Genome-Wide Association Study 21612516
    rs4938180 IGSF4 1.91 2.16e-05 410 vs 553 — Italian 90–109 — — Genome-Wide Association Study 21612516
    rs2147556 — 0.63 2.18e-05 410 vs 553 — Italian 90–109 — — Genome-Wide Association Study 21612516
    rs1563301 — 0.50 2.36e-05 410 vs 553 — Italian 90–109 — — Genome-Wide Association Study 21612516
    rs6592810 — 1.54 2.49e-05 410 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
    rs7915479 CDH23 1.92 2.81e-05 410 vs 553 — Italian 90–109 — — Genome-Wide Association Study 21612516
    rs870959 — 1.51 2.84e-05 410 vs 553 — Italian 90–109 — — Genome-Wide Association Study 21612516
    rs1556758 SORCS1 0.50 3.47e-05 410 vs 553 — Italian 90–109 — — Genome-Wide Association Study 21612516
    rs130329 — 0.50 3.52e-05 410 vs 553 — Italian 90–109 — — Genome-Wide Association Study 21612516
    rs846427 — 1.94 3.82e-05 410 vs 553 — Italian 90–109 — — Genome-Wide Association Study 21612516
    rs10277343 — 0.64 3.88e-05 410 vs 553 — Italian 90–109 — — Genome-Wide Association Study 21612516
    rs6701445 TAF5L 1.84 4.19e-05 410 vs 553 — Italian 90–109 — — Genome-Wide Association Study 21612516
    rs888808 RHOBTB3 0.67 4.19e-05 410 vs 553 — Italian 90–109 — — Genome-Wide Association Study 21612516
    • Page 1 of 11
    • 25 of 263 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