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
    rs9603776 FOXO1 1.05 0.778 1447 vs 1029 (German) 166 vs 216 (Italian) German Mean age 98.8 — — Candidate Region/Gene 21388494
    rs12013673 FOXO4 0.98 0.696 1447 vs 1029 (German) 166 vs 216 (Italian) German Mean age 98.8 — — Candidate Region/Gene 21388494
    rs5981072 FOXO4 0.98 0.976 1447 vs 1029 (German) 166 vs 216 (Italian) German Mean age 98.8 — — Candidate Region/Gene 21388494
    rs11585393 FOXO6 1.04 0.531 1447 vs 1029 (German) 166 vs 216 (Italian) German Mean age 98.8 — — Candidate Region/Gene 21388494
    rs2701893 FOXO1 0.98 0.772 1447 vs 1029 (German) 166 vs 216 (Italian) German Mean age 98.8 — — Candidate Region/Gene 21388494
    rs12865518 FOXO1 1.07 0.307 1447 vs 1029 (German) 166 vs 216 (Italian) German — — — Candidate Region/Gene 21388494
    rs2721069 FOXO1 0.93 0.251 1447 vs 1029 (German) 166 vs 216 (Italian) German Mean age 98.8 — — Candidate Region/Gene 21388494
    rs17446593 FOXO1 0.93 0.338 1447 vs 1029 (German) 166 vs 216 (Italian) German — — — Candidate Region/Gene 21388494
    rs2866164 MTTP 1.18 0.34 666 vs 540 1033 vs 359 German <100 G C Candidate Region/Gene 15911777
    rs2866164 MTTP 1.21 0.28 373 vs 540 1033 vs 359 German Centenarians G C Candidate Region/Gene 15911777
    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
    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

    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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