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 (29)   No Age Effect (101)  
  • Study type: + -
    ‑ (14)   Candidate Region/Gene (102)   Genome‑Wide Association Study (15)  
  • Variant type: + -
    SNP (100)   CNV (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
    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
    rs8031 SOD2 — 0.186 1612 vs 1104 — German 90+ — — Candidate Region/Gene 24163049
    rs5746141 SOD2 — 0.601 1612 vs 1104 — German 90+ — — Candidate Region/Gene 24163049
    rs5746136 SOD2 — 0.354 1612 vs 1104 — German 90+ — — Candidate Region/Gene 24163049
    rs5746133 SOD2 — 0.466 1612 vs 1104 — German 90+ — — Candidate Region/Gene 24163049
    rs4880 SOD2 — 0.552 1612 vs 1104 — German 90+ — — Candidate Region/Gene 24163049
    rs8192287 SOD3 — 0.955 1612 vs 1104 — German 90+ — — Candidate Region/Gene 24163049
    rs699473 SOD3 — 0.613 1612 vs 1104 — German 90+ — — Candidate Region/Gene 24163049
    rs17881426 SOD3 — 0.425 1612 vs 1104 — German 90+ — — Candidate Region/Gene 24163049
    rs1007991 SOD3 — 0.679 1612 vs 1104 — German 90+ — — Candidate Region/Gene 24163049
    rs2536512 SOD3 — 0.942 1612 vs 1104 — German 90+ — — Candidate Region/Gene 24163049
    rs8192291 SOD3 — 0.144 1612 vs 1104 — German 90+ — — Candidate Region/Gene 24163049
    rs8192290 SOD3 — 0.428 1612 vs 1104 — German 90+ — — Candidate Region/Gene 24163049
    rs13306703 — — 0.764 1612 vs 1104 — German 90+ — — Candidate Region/Gene 24163049
    rs3803304 AKT1 0.99 0.784 2702 vs 1840 — Danish, German 92-110 — — Candidate Region/Gene 22929028
    rs2494731 AKT1 1.03 0.503 2996 vs 1840 — Danish, German 92-110 — — Candidate Region/Gene 22929028
    rs2494738 AKT1 1.03 0.718 2996 vs 1840 — Danish, German 92-110 — — Candidate Region/Gene 22929028
    rs1130214 AKT1 0.97 0.544 2996 vs 1840 — Danish, German 92-110 — — Candidate Region/Gene 22929028
    rs2494732 AKT1 1.04 0.406 2996 vs 1840 — Danish, German 92-110 — — Candidate Region/Gene 22929028
    rs2498796 AKT1 0.99 0.788 2996 vs 1840 — Danish, German 92-110 — — Candidate Region/Gene 22929028
    rs2494748 AKT1 0.95 0.466 1383 vs 736 — Danish, German 92-110 — — Candidate Region/Gene 22929028
    rs3803304 AKT1 0.97 0.544 2996 vs 1840 — Danish, German 92-110 — — Candidate Region/Gene 22929028
    rs9923854 CETP 1.95 0.001 1,089 vs 736 1,613 vs 1,104 Danish, German 92-93 Danish, 95–110 German A — — 22234866
    rs769449 APOE 0.70 0.018 1,089 vs 736 1,613 vs 1,104 Danish, German 92-93 Danish, 95–110 German G — — 22234866
    rs12770830 HSPA14 1.35 0.011 1,089 vs 736 1,613 vs 1,104 Danish, German 92-93 Danish, 95–110 German — — — 22234866
    C4L*Q0 — — 0.003 700 vs 900 — German 94+ — — Candidate Region/Gene 24465950

    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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