Longevity Variant Database

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    Populations | Study Types | Variant Types



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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
    rs17630266 FOXO1 1.11 0.51 1447 vs 1029 (German) 166 vs 216 (Italian) German Mean age 98.8 Candidate Region/Gene 21388494
    rs12876443 FOXO1 1.00 0.989 1447 vs 1029 (German) 166 vs 216 (Italian) German Mean age 98.8 Candidate Region/Gene 21388494
    rs7981045 FOXO1 1.06 0.349 1447 vs 1029 (German) 166 vs 216 (Italian) German Mean age 98.8 Candidate Region/Gene 21388494
    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
    rs2721047 FOXO1A 0.98 0.177 1447 vs 1029 (initial) 166 vs 216 (Italian) (replication) German Mean age 98.8 Candidate Region/Gene 21388494
    rs4073591 DEAF1 0.002618 1600 samples (cases and controls combined) German, Italian Candidate Region/Gene 19367319
    rs4073590 DEAF1 0.004259 1600 samples (cases and controls combined) German, Italian Candidate Region/Gene 19367319
    rs11040489 KRTAP5-6 0.005869 1600 samples (cases and controls combined) German, Italian Candidate Region/Gene 19367319
    rs4930001 DEAF1 0.010851 1600 samples (cases and controls combined) German, Italian Candidate Region/Gene 19367319
    rs800140 TSPAN32 0.0081 1600 samples (cases and controls combined) German, Italian Candidate Region/Gene 19367319
    rs16928120 0.00057 1600 samples (cases and controls combined) German, Italian Candidate Region/Gene 19367319
    rs4998557 SOD1 0.52 1612 vs 1104 German 90+ Candidate Region/Gene 24163049
    rs2070424 SOD1 0.77 1612 vs 1104 German 90+ Candidate Region/Gene 24163049
    rs1041740 SOD1 0.998 1612 vs 1104 German 90+ Candidate Region/Gene 24163049
    rs6917589 SOD2 0.741 1612 vs 1104 German 90+ Candidate Region/Gene 24163049
    rs2842980 SOD2 0.689 1612 vs 1104 German 90+ Candidate Region/Gene 24163049
    rs7855 SOD2 0.842 1612 vs 1104 German 90+ Candidate Region/Gene 24163049
    rs8031 SOD2 0.186 1612 vs 1104 German 90+ Candidate Region/Gene 24163049

    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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