Longevity Variant Database

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    Populations | Study Types | Variant Types



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    polymorphism factor odds ratio pvalue initial number replication number Population age of cases shorter lived allele longer lived allele study type reference
    rs7896005 SIRT1 0.0056 224 vs 293 170 vs 220 Caucasian Range: 90-103 A Candidate Region/Gene 21972126
    rs1887922 IDE 2.02 0.0004 829 vs 1033 Australian, Caucasian Mixed Candidate Region/Gene 18448515
    rs2251101 IDE 1.88 0.0011 829 vs 1033 Australian, Caucasian Mixed Candidate Region/Gene 18448515
    rs7069102 SIRT1 0.84 213 vs 402 Japanese minimum 95; mean 97.9 Candidate Region/Gene 18765803
    rs10823112 SIRT1 0.44 213 vs 402 Japanese minimum 95; mean 97.9 Candidate Region/Gene 18765803
    rs1885472 SIRT1 0.71 213 vs 402 Japanese minimum 95; mean 97.9 Candidate Region/Gene 18765803
    rs982764 FAS 1.10 0.000335327 801 vs 914 Caucasian Median age 104 G A Genome-Wide Association Study 22279548
    rs4751140 EBF3 1.21 0.000268865 801 vs 914 Caucasian Median age 104 A G Genome-Wide Association Study 22279548
    rs11005328 ZWINT 3.16 0.002342056 801 vs 914 Caucasian Median age 104 A C Genome-Wide Association Study 22279548
    rs4918255 SORCS1 1.27 0.00063068 801 vs 914 Caucasian Median age 104 A G Genome-Wide Association Study 22279548
    rs10509271 CTNNA3 1.21 0.002944036 801 vs 914 Caucasian Median age 104 A G Genome-Wide Association Study 22279548
    rs1516507 KCNMA1 1.36 9.67e-05 403 vs 1670 3746 vs 5912 Dutch Mean age 94 G Genome-Wide Association Study 21418511
    rs740746 ADRB1 0.556 384 vs 384 579 vs 644 Chinese Mean age 102.1±0.20 Candidate Region/Gene 23020224
    rs3758391 SIRT1 1.0 386 vs 640 vs 547 German Mean age 101 Candidate Region/Gene 16257164
    rs1885472 SIRT1 1.0 386 vs 640 vs 547 German Mean age 101 Candidate Region/Gene 16257164
    rs2273773 SIRT1 1.0 386 vs 640 vs 547 German Mean age 101 Candidate Region/Gene 16257164
    rs10997870 SIRT1 1.0 386 vs 640 vs 547 German Mean age 101 Candidate Region/Gene 16257164
    rs2234975 SIRT1 1.0 386 vs 640 vs 547 German Mean age 101 Candidate Region/Gene 16257164
    rs12257410 FRMD4A 3.77e-05 1364 American, British Age range 50-108; mean age at death 80.2 A C Genome-Wide Association Study 22445811
    rs10903420 ADARB2 1.28 0.0048 877 vs 1808 Southern Italian, age 90–109 (median 96): 459 vs 429. Ashkenazi Jewish, age 95–112 (median 100): 299 vs 269. Japanese, age 100-116 (median 106): 470 vs 538. Northern European 96–119 (median: 103) AA 20011587
    rs1007147 ADARB2 1.35 0.0015 877 vs 1808 Southern Italian, age 90–109 (median 96): 459 vs 429. Ashkenazi Jewish, age 95–112 (median 100): 299 vs 269. Japanese, age 100-116 (median 106): 470 vs 538. Northern European 96–119 (median: 103) AA 20011587
    rs2805562 ADARB2 1.22 0.05 877 vs 1808 Southern Italian, age 90–109 (median 96): 459 vs 429. Ashkenazi Jewish, age 95–112 (median 100): 299 vs 269. Japanese, age 100-116 (median 106): 470 vs 538. Northern European 96–119 (median: 103) AA 20011587
    rs884949 ADARB2 1.19 0.0911 877 vs 1808 Southern Italian, age 90–109 (median 96): 459 vs 429. Ashkenazi Jewish, age 95–112 (median 100): 299 vs 269. Japanese, age 100-116 (median 106): 470 vs 538. Northern European 96–119 (median: 103) AA 20011587
    rs2805533 ADARB2 0.91 0.1904 877 vs 1808 Southern Italian, age 90–109 (median 96): 459 vs 429. Ashkenazi Jewish, age 95–112 (median 100): 299 vs 269. Japanese, age 100-116 (median 106): 470 vs 538. Northern European 96–119 (median: 103) AA/AG 20011587
    rs2387653 ADARB2 1.17 0.1053 877 vs 1808 Southern Italian, age 90–109 (median 96): 459 vs 429. Ashkenazi Jewish, age 95–112 (median 100): 299 vs 269. Japanese, age 100-116 (median 106): 470 vs 538. Northern European 96–119 (median: 103) AA 20011587
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    • 25 of 45 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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