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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    polymorphism factor odds ratio pvalue initial number replication number Population age of cases shorter lived allele longer lived allele study type reference
    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
    -1377G/A FAS 0.106 50 vs 86 Italian 100.8 ± 1.8 (100 to 106) Candidate Region/Gene 11965496
    -670A/G FAS 0.608 50 vs 86 Italian 100.8 ± 1.8 (100 to 106) Candidate Region/Gene 11965496
    CYP2C19*1 (wt allele) / CYP2C19*2( rs4244285 / rs17878459 ) CYP2C19 1.21 0.2 239 vs 64 Danish 95 and over Candidate Region/Gene 9754988
    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
    rs1022427 PTEN 1.28 0.13 336 vs 603;279 vs 797;383 vs 363 Caucasian 95.3 ± 2.2_x000D_;+M19994.5 ± 2.1_x000D_;mean 97.7, 95– 151 Candidate Region/Gene 19489743
    rs10509271 CTNNA3 1.21 0.002944036 801 vs 914 Caucasian Median age 104 A G Genome-Wide Association Study 22279548
    rs10823112 SIRT1 0.44 213 vs 402 Japanese minimum 95; mean 97.9 Candidate Region/Gene 18765803
    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
    rs10997870 SIRT1 1.0 386 vs 640 vs 547 German Mean age 101 Candidate Region/Gene 16257164
    rs11005328 ZWINT 3.16 0.002342056 801 vs 914 Caucasian Median age 104 A C Genome-Wide Association Study 22279548
    rs11188059 CYP2C 0.04 616 centenarians versus control group of 945 younger individuals German Candidate Region/Gene 21798861
    rs12413082 MSRB2 0.53 3.33e-06 410 vs 553 Italian 90–109 Genome-Wide Association Study 21612516
    rs12770830 HSPA14 1.35 0.011 1,089 vs 736 1,613 vs 1,104 Danish, German 92-93 Danish, 95–110 German 22234866
    rs1516507 KCNMA1 1.36 9.67e-05 403 vs 1670 3746 vs 5912 Dutch Mean age 94 G Genome-Wide Association Study 21418511
    rs1533484 ADARB2 0.81 0.0109 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
    rs1556758 SORCS1 0.50 3.47e-05 410 vs 553 Italian 90–109 Genome-Wide Association Study 21612516
    rs17294019 ADARB2 0.69 0.0005 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
    rs1885472 SIRT1 1.0 386 vs 640 vs 547 German Mean age 101 Candidate Region/Gene 16257164
    rs1885472 SIRT1 0.71 213 vs 402 Japanese minimum 95; mean 97.9 Candidate Region/Gene 18765803
    rs1887922 IDE 2.02 0.0004 829 vs 1033 Australian, Caucasian Mixed Candidate Region/Gene 18448515
    rs2234975 SIRT1 1.0 386 vs 640 vs 547 German Mean age 101 Candidate Region/Gene 16257164
    rs2251101 IDE 1.88 0.0011 829 vs 1033 Australian, Caucasian Mixed Candidate Region/Gene 18448515
    rs2273773 SIRT1 1.0 386 vs 640 vs 547 German Mean age 101 Candidate Region/Gene 16257164
    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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