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 (22)   No Age Effect (77)  
  • Study type: + -
    Candidate Region/Gene (85)   Genome‑Wide Association Study (14)  
  • Variant type: + -
    SNP « 
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    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
    rs1041740 SOD1 — 0.998 1612 vs 1104 — German 90+ — — Candidate Region/Gene 24163049
    rs12876443 FOXO1 1.00 0.989 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
    rs8192287 SOD3 — 0.955 1612 vs 1104 — German 90+ — — Candidate Region/Gene 24163049
    rs2536512 SOD3 — 0.942 1612 vs 1104 — German 90+ — — Candidate Region/Gene 24163049
    rs1571631 FOXO3 0.99 0.872 388 vs 371 535 vs 553 German mean age 98.4 years — — Candidate Region/Gene 19196970
    rs6690527 FOXO6 1.01 0.867 1447 vs 1029 (German) 166 vs 216 (Italian) German Mean age 98.8 — — Candidate Region/Gene 21388494
    rs7855 SOD2 — 0.842 1612 vs 1104 — German 90+ — — Candidate Region/Gene 24163049
    rs1317557 FOXO6 1.04 0.824 1447 vs 1029 (German) 166 vs 216 (Italian) German Mean age 98.8 — — Candidate Region/Gene 21388494
    rs6693260 FOXO6 0.98 0.824 1447 vs 1029 (German) 166 vs 216 (Italian) German Mean age 98.8 — — Candidate Region/Gene 21388494
    rs2498796 AKT1 0.99 0.788 2996 vs 1840 — Danish, German 92-110 — — Candidate Region/Gene 22929028
    rs3803304 AKT1 0.99 0.784 2702 vs 1840 — Danish, German 92-110 — — Candidate Region/Gene 22929028
    rs9603776 FOXO1 1.05 0.778 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
    rs2755209 FOXO1 0.98 0.77 1447 vs 1029 (German) 166 vs 216 (Italian) German Mean age 98.8 — — Candidate Region/Gene 21388494
    rs2070424 SOD1 — 0.77 1612 vs 1104 — German 90+ — — Candidate Region/Gene 24163049
    rs13306703 — — 0.764 1612 vs 1104 — German 90+ — — Candidate Region/Gene 24163049
    rs6917589 SOD2 — 0.741 1612 vs 1104 — German 90+ — — Candidate Region/Gene 24163049
    rs7539614 FOXO6 1.02 0.739 1447 vs 1029 (German) 166 vs 216 (Italian) German Mean age 98.8 — — Candidate Region/Gene 21388494
    rs2494738 AKT1 1.03 0.718 2996 vs 1840 — Danish, German 92-110 — — Candidate Region/Gene 22929028
    rs12013673 FOXO4 0.98 0.696 1447 vs 1029 (German) 166 vs 216 (Italian) German Mean age 98.8 — — Candidate Region/Gene 21388494
    rs2842980 SOD2 — 0.689 1612 vs 1104 — German 90+ — — Candidate Region/Gene 24163049
    rs1007991 SOD3 — 0.679 1612 vs 1104 — German 90+ — — Candidate Region/Gene 24163049
    rs4660192 FOXO6 0.97 0.663 1447 vs 1029 (German) 166 vs 216 (Italian) German Mean age 98.8 — — Candidate Region/Gene 21388494
    rs2755213 FOXO1 0.95 0.626 1447 vs 1029 (German) 166 vs 216 (Italian) German Mean age 98.8 — — Candidate Region/Gene 21388494
    • Page 1 of 4
    • 25 of 100 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