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
    Y318C PMS2 0.02 390 vs 410 Ashkenazi Jewish Centenarians Candidate Region/Gene 23376243
    rs7799039 LEP 0.02 110 vs 120 Jordanian mean age 90.2 years C A Candidate Region/Gene 20201642
    −675 4G/5G PAI1 0.81 0.04 2224 American, Caucasian 65+ 5G (men) Candidate Region/Gene 15939070
    rs2069827 IL6 0.064 1,089 vs 736 563 (longtitudinal study) Danish, Dutch 92+ Danish, 85+ Dutch A 22234866
    VNTR polymorphism IL6 0.56 0.07 61 centenarians and 94 middle-aged subjects Italian 100 years vs. 52 years Candidate Region/Gene 17506774
    rs3779501 PIK3CG 0.139 122 vs 122 Japanese mean age 106.8 Candidate Region/Gene 15582274
    rs2228078 GHRHR 1.48 0.21 314 vs 603;279 vs 797;383 vs 363 Caucasian 95.3 ± 2.2_x000D_;+M19994.5 ± 2.1_x000D_;mean 97.7, 95– 129 Candidate Region/Gene 19489743
    rs1800795 IL6 0.23 250 vs 400 Finn >90 Candidate Region/Gene 11640949
    rs11767557 EPHA1 0.267 1364 American, British Age range 50-108; mean age at death 80.2 G A Candidate Region/Gene 22445811
    55 (L/M) PON1 0.94 0.44 308 vs 579 Italian, 296 vs 296 Irish Irish, Italian Italian 100.8 years, Irish 89.8 years Candidate Region/Gene 15050299
    rs1800795 + (rs429358, rs7412) IL6 + APOE 1.49 0.45 81 vs 122 Italian Mean age 100.1 Candidate Region/Gene 15236771
    rs6670 IGFBP3 1.02 0.75 319 vs 603;279 vs 797;383 vs 363 Caucasian 95.3 ± 2.2_x000D_;+M19994.5 ± 2.1_x000D_;mean 97.7, 95– 134 Candidate Region/Gene 19489743
    rs662 PON1 1.0 579 vs 308 Italian Over 100 G A Candidate Region/Gene 12082503
    rs854560 PON1 1.0 579 vs 308 Italian Over 100 Candidate Region/Gene 12082503
    codon 192 PON1 1.0 192 vs 77 Italian 56 ages 66 to 89, 96 >90 Candidate Region/Gene 16799134
    codon 55 PON1 1.0 192 vs 77 Italian 56 ages 66 to 89, 96 >90 Candidate Region/Gene 16799134

    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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