Longevity Variant Database

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Use ontology terms to further narrow results (e.g. aging, insulin, etc.):


  • Variant type: + -

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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
    rs4673 1.48 0.022 Russian C T Candidate Region/Gene 23755540
    rs3814314 LMNA 0.017 873 vs 443 (initial) New England Centenarian Study: 545 vs 193; French: 557 vs 546; Southern Italian Centenarian Study: 455 vs 450; Ashkenazi Jewish: 354 vs 348 (replication) American, Caucasian Mean age 101.5 Candidate Region/Gene 22340368
    rs11578696 LMNA 0.21 873 vs 443 (initial) New England Centenarian Study: 545 vs 193; French: 557 vs 546; Southern Italian Centenarian Study: 455 vs 450; Ashkenazi Jewish: 354 vs 348 (replication) Mean age 101.5 Candidate Region/Gene 22340368
    rs4661146 LMNA 0.12 873 vs 443 (initial) New England Centenarian Study: 545 vs 193; French: 557 vs 546; Southern Italian Centenarian Study: 455 vs 450; Ashkenazi Jewish: 354 vs 348 (replication) American, Caucasian Mean age 101.5 Candidate Region/Gene 22340368
    rs1801133 MTHFR 0.029 (150 m, 74 f) vs (121 m, 320 f) Ashkenazi Jewish Mean age 75 C Candidate Region/Gene 15621215
    rs4880 SOD2 0.009 (150 m, 74 f) vs (121 m, 320 f) Ashkenazi Jewish Mean age 75 T Candidate Region/Gene 15621215
    rs769449 APOE 0.70 0.018 1,089 vs 736 1,613 vs 1,104 Danish, German 92-93 Danish, 95–110 German G 22234866
    rs3772190 TERC 0.006 1013 total Danish A G Candidate Region/Gene 22136229
    rs1800775 CETP 0.02 10261 Danish 20-93, followed for up to 34 years CC non-CC Candidate Region/Gene 23083790
    rs708272 CETP 0.02 10261 Danish 20-93, followed for up to 34 years GG non-GG Candidate Region/Gene 23083790
    rs2107538 RANTES 3.20 0.029 104 vs 110 Spaniard Mean age 89.4 A G Candidate Region/Gene 22265023
    rs2280789 RANTES 8.80 0.03 104 vs 110 Spaniard Mean age 89.5 C T Candidate Region/Gene 22265023
    rs9340799 ESR1 0.22 108 vs 85 Italian 90+ Candidate Region/Gene 20819792
    rs10047589 TXNRD1 1.46 0.043 1089 (see notes - follow-up study) 563 (see notes - follow-up study) Danish 92.2–93.8 (mean age 93.2) w/ 11.4 years follow-up G Candidate Region/Gene 22406557
    rs207444 XDH 0.046 1089 (see notes - follow-up study) 563 (see notes - follow-up study) Danish 92.2–93.8 (mean age 93.2) w/ 11.4 years follow-up G - Unsure Candidate Region/Gene 22406557
    rs26802 GHRL 2.34 0.032 1089 (see notes - follow-up study) 563 (see notes - follow-up study) Danish 92.2–93.8 (mean age 93.2) w/ 11.4 years follow-up A Candidate Region/Gene 22406557
    rs13320360 MLH1 3.13 0.0036 1089 (see notes - follow-up study) 563 (see notes - follow-up study) Danish 92.2–93.8 (mean age 93.2) w/ 11.4 years follow-up A Candidate Region/Gene 22406557
    rs2509049 H2AFX 0.63 0.017 1089 (see notes - follow-up study) 563 (see notes - follow-up study) Danish 92.2–93.8 (mean age 93.2) w/ 11.4 years follow-up A Candidate Region/Gene 22406557
    rs705649 XRCC5 0.029 1089 (see notes - follow-up study) 563 (see notes - follow-up study) Danish 92.2–93.8 (mean age 93.2) w/ 11.4 years follow-up A - Unsure Candidate Region/Gene 22406557
    rs1002149 GSR 0.71 0.0335 1089 vs 736 1613 vs 1104 Danish 92-93 years old A C Candidate Region/Gene 22406557
    rs1207362 KL 0.63 0.0001 1089 vs 736 1613 vs 1104 Danish 92-93 years old A C Candidate Region/Gene 22406557
    rs2267723 GHRHR 0.70 0.0001 1089 vs 736 1613 vs 1104 Danish 92-93 years old G A Candidate Region/Gene 22406557
    rs3842755 INS 1.79 0.0001 1089 vs 736 1613 vs 1104 Danish 92-93 years old C A Candidate Region/Gene 22406557
    rs572169 GHSR 0.72 0.0045 1089 vs 736 1613 vs 1104 Danish 92-93 years old A G Candidate Region/Gene 22406557
    rs9456497 IGF2R 1.42 0.005 1089 vs 736 1613 vs 1104 Danish 92-93 years old A G Candidate Region/Gene 22406557
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    • 25 of 243 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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