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 (8)   Complete Mitochondrial Genome (1)  
  • Variant type: + -
    Haplotype (2)  
    • 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
    rs2802292 FOXO3 — 0.0001 213 vs 402 — Japanese minimum 95; mean 97.9 T — Candidate Region/Gene 18765803
    rs2764264 FOXO3 — 0.0002 213 vs 402 — Japanese minimum 95; mean 97.9 T — Candidate Region/Gene 18765803
    rs13217795 FOXO3 — 0.0006 213 vs 402 — Japanese minimum 95; mean 97.9 T — Candidate Region/Gene 18765803
    e4 APOE 0.35 0.001 729 vs 498 — Japanese 100+ e4 — Candidate Region/Gene 24534555
    rs1800871 IL-10 — 0.0026 500 — Japanese 56.7 years; range, 19–100 years TC TT Candidate Region/Gene 16424284
    HMOX1 (GT)_n repeats HMOX1 0.56 0.0027 108 vs 154 — Japanese Mean age 80.5 33 < repeats — Candidate Region/Gene 12566526
    82133GNA PLXNA1 — 0.0189 26 vs 27 — Japanese 60-69, 90-99, >100 — — — 15820493
    1/s 5HTT — 0.05 265 vs 225 — Japanese 101.2 S — Candidate Region/Gene 16095668
    D4a mtDNA haplogroups — 0.05 112 vs 96 — Japanese Minimum age 105 non-D4a D4a Complete Mitochondrial Genome 18545700
    rs8191979 SHC1 — 0.38 230 vs 180 — Japanese Mean age 100.8 +/- 1.5 — — Candidate Region/Gene 14530863
    • 10 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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