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.):


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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
    rs1800629 TNF 0.76 250 vs 400 Finn >90 Candidate Region/Gene 11640949
    rs282070 MAP3K7 0.0011 288 vs 554 Calabrian 90+, median 92 G Candidate Region/Gene 22576335
    TNF haplotypes TNF 0.01 60 vs 50 Bulgarian Age range: 65-99 −1031 C/C, −863 C/A, −857 C/C, −308 G/G, +489 G/G Candidate Region/Gene 21299522
    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
    rs1044891 FOXO3A 1.17 0.14 298 vs 603;279 vs 797;383 vs 363 Caucasian 95.3 ± 2.2_x000D_;+M19994.5 ± 2.1_x000D_;mean 97.7, 95– 113 Candidate Region/Gene 19489743
    rs1935949 FOXO3A 1.46 0.019 299 vs 603;279 vs 797;383 vs 363 Caucasian 95.3 ± 2.2_x000D_;+M19994.5 ± 2.1_x000D_;mean 97.7, 95– 114 T Candidate Region/Gene 19489743
    rs2153960 FOXO3A 1.16 0.019 300 vs 603;279 vs 797;383 vs 363 Caucasian 95.3 ± 2.2_x000D_;+M19994.5 ± 2.1_x000D_;mean 97.7, 95– 115 Candidate Region/Gene 19489743
    rs3778588 FOXO3A 1.22 0.023 301 vs 603;279 vs 797;383 vs 363 Caucasian 95.3 ± 2.2_x000D_;+M19994.5 ± 2.1_x000D_;mean 97.7, 95– 116 Candidate Region/Gene 19489743
    rs4946935 FOXO3A 1.48 0.018 302 vs 603;279 vs 797;383 vs 363 Caucasian 95.3 ± 2.2_x000D_;+M19994.5 ± 2.1_x000D_;mean 97.7, 95– 117 A Candidate Region/Gene 19489743
    rs9486902 FOXO3A 1.18 0.073 303 vs 603;279 vs 797;383 vs 363 Caucasian 95.3 ± 2.2_x000D_;+M19994.5 ± 2.1_x000D_;mean 97.7, 95– 118 Candidate Region/Gene 19489743
    rs9486913 FOXO3A 1.18 0.053 304 vs 603;279 vs 797;383 vs 363 Caucasian 95.3 ± 2.2_x000D_;+M19994.5 ± 2.1_x000D_;mean 97.7, 95– 119 Candidate Region/Gene 19489743
    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
    -308G/A TNF 0.33 0.001 71 vs 99 Mexican 86.2 G Candidate Region/Gene 16269080
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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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