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
    - HRAS1 0.05 see notes; stratified by population; total = 1321 cases versus 1140 controls 1 (specifically for SIRT3 in a French population) French, German, Italian centenarians; see notes - 19367319
    - SIRT3 0.145 see notes; stratified by population; total = 1321 cases versus 1140 controls French, German, Italian centenarians; see notes - 19367319
    - TH 0.05 see notes; stratified by population; total = 1321 cases versus 1140 controls French, German, Italian centenarians; see notes - 19367319
    - INS 0.05 see notes; stratified by population; total = 1321 cases versus 1140 controls French, German, Italian centenarians; see notes - 19367319
    - IGF2 0.05 see notes; stratified by population; total = 1321 cases versus 1140 controls French, German, Italian centenarians; see notes - 19367319
    rs4073590 DEAF1 0.05 see notes; stratified by population; total = 1321 cases versus 1140 controls French, German, Italian centenarians; see notes - 19367319
    rs11040489 KRTAP5-6 0.05 see notes; stratified by population; total = 1321 cases versus 1140 controls French, German, Italian centenarians; see notes - 19367319
    rs800140 TSPAN32 0.05 see notes; stratified by population; total = 1321 cases versus 1140 controls French, German, Italian centenarians; see notes - 19367319
    rs2542052 APOC3 0.0001 Centenarians (n = 213) their offspring (n = 216) vs 258 Ashkenazi Jewish Mean age 98.2 A 16602826
    rs2542052 APOC3 0.0001 Centenarians (n = 213) their offspring (n = 216) vs 258 Ashkenazi Jewish mean age 98.2 A Candidate Region/Gene 16602826
    rs11235972 UCP3 0.029 908 vs 708 Danish 93 A Candidate Region/Gene 22743239
    rs1685354 UCP3 0.762 908 vs 708 Danish 93 Candidate Region/Gene 22743239
    rs3781907 UCP3 0.05 908 vs 708 Danish 93 G Candidate Region/Gene 22743239
    rs647126 UCP3 0.447 908 vs 708 Danish 93 Candidate Region/Gene 22743239
    rs11235972 UCP3 0.029 908 (1905 Cohort) vs 708 (Study of Middle-Aged Danish Twins (MADT)) Danish 93 A Candidate Region/Gene 22743239
    rs3781907 UCP3 0.05 908 (1905 Cohort) vs 708 (Study of Middle-Aged Danish Twins (MADT)) Danish 93 G Candidate Region/Gene 22743239
    rs189037 ATM 0.004 875 vs 886 Chinese mean 94.6 CT Candidate Region/Gene 20816691
    rs189037 (genotype) ATM 0.004 875 (280 m, 595 f) vs 886 (491 m, 395 f) Chinese Mean age 94,6, healthy CT (Article); GA (ENSEMBL) Candidate Region/Gene 20816691
    rs651922 DCPS 1.19 4.75e-05 801 vs 914 Caucasian Median age 104 A G Genome-Wide Association Study 22279548
    rs1470196 KIAA1377 1.33 0.000498694 801 vs 914 Caucasian Median age 104 A G Genome-Wide Association Study 22279548
    rs216493 PLEKHA7 1.10 0.001543457 801 vs 914 Caucasian Median age 104 A G Genome-Wide Association Study 22279548
    rs7127390 IGSF4 1.13 0.001091248 801 vs 914 Caucasian Median age 104 A G Genome-Wide Association Study 22279548
    rs4237774 OR56A1 1.18 0.000637699 801 vs 914 Caucasian Median age 104 A G Genome-Wide Association Study 22279548
    rs894558 NAV2 1.13 0.004524209 801 vs 914 Caucasian Median age 104 G A Genome-Wide Association Study 22279548
    rs4755936 SYT13 1.19 0.003578524 801 vs 914 Caucasian Median age 104 G A Genome-Wide Association Study 22279548
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    • 25 of 81 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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