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
    rs4880 SOD2 0.009 224 vs 441 Ashkenazi Jewish 75 C T Candidate Region/Gene 15621215
    rs4880 SOD2 0.009 (150 m, 74 f) vs (121 m, 320 f) Ashkenazi Jewish Mean age 75 T Candidate Region/Gene 15621215
    rs282070 MAP3K7 0.0011 288 vs 554 Calabrian 90+, median 92 G Candidate Region/Gene 22576335
    rs3763305 BTNL2 1.89 4.51e-05 801 vs 914 Caucasian Median age 104 G A Genome-Wide Association Study 22279548
    rs2758331 SOD2 1.33 2.92563e-05 801 vs 914 Caucasian Median age 104 C A Genome-Wide Association Study 22279548
    rs1042663 C2 1.52 0.000169165 801 vs 914 Caucasian Median age 104 G A Genome-Wide Association Study 22279548
    rs9397084 SYNE1 1.40 0.000104307 801 vs 914 Caucasian Median age 104 A G Genome-Wide Association Study 22279548
    rs3804474 FLJ33708 1.22 0.000264519 801 vs 914 Caucasian Median age 104 A G Genome-Wide Association Study 22279548
    rs2242653 BAT5 1.39 0.000314783 801 vs 914 Caucasian Median age 104 G A Genome-Wide Association Study 22279548
    rs11153598 NT5DC1 1.06 0.00214039 801 vs 914 Caucasian Median age 104 C A Genome-Wide Association Study 22279548
    rs2269475 AIF1 1.45 0.000435495 801 vs 914 Caucasian Median age 104 G A Genome-Wide Association Study 22279548
    rs524533 NFKBIE 1.29 0.000732713 801 vs 914 Caucasian Median age 104 G A Genome-Wide Association Study 22279548
    rs3019435 PARK2 1.41 0.001006354 801 vs 914 Caucasian Median age 104 C A Genome-Wide Association Study 22279548
    rs1800629 TNF 1.0 119 vs 118 Jordanian Mean age 90.2 Candidate Region/Gene 20518833
    Ile119Val PCMT1 0.049 40 vs 40 Ashkenazi Jewish Mean age 87.2 Candidate Region/Gene 10496068
    H63D HFE 1.0 35 vs 106 91-105 Candidate Region/Gene 11857056
    S65C HFE 1.0 35 vs 106 91-105 Candidate Region/Gene 11857056
    HFE C282Y HFE 7.2e-07 35 vs 106 91-105 (< 50 versus >90) C Y Candidate Region/Gene 11857056
    HLA-DRB1 haplotypes HLA-DRB1 0.004 120 vs 129 Okinawan Mean age 102.3 +/- 1.9 years non-DRB1*0401 alleles DRB1*0401 Candidate Region/Gene 9389323
    HLA-DQB1 haplotypes HLA-DQB1 0.0002 120 vs 129 Okinawan Mean age 102.3 +/- 1.9 years non-DQB1*0503 alleles DQB1*0503 Candidate Region/Gene 9389323
    HLA-DQA1 haplotypes HLA-DQA1 0.04 120 vs 129 Okinawan Mean age 102.3 +/- 1.9 years non-HLA-DQA1*0101=0104 alleles HLA-DQA1*0101=0104 Candidate Region/Gene 9389323
    HLA-DQA1 haplotypes HLA-DQA1 0.038 120 vs 129 Okinawan Mean age 102.3 +/- 1.9 years non-HLA-DQA1*05 alleles HLA-DQA1*05 Candidate Region/Gene 9389323
    (A/C)−110 HSP70-1 0.40 0.005 120 vs 471 Italian 100 years and above A Candidate Region/Gene 14501185
    rs1008438 HSPA1A 0.005 157 vs 62 Danish 92.8 A Candidate Region/Gene 16804002
    rs1061581 HSPA1B 0.04 157 vs 62 Danish 92.8 A Candidate Region/Gene 16804002
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    • 25 of 121 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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