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.):


  • Variant type: + -

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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
    −1082 G/A IL10 0.025 190 vs 260 Italian >99 years old G Candidate Region/Gene 11857058
    STR variation CSF1TPO 0.003 60 vs 250 Chinese >90 low variation in STRs high variation in STRs - 20582731
    rs970048 Intergenic 1.77 7.17e-07 3746 vs 5912 Dutch Mean age 94 G Genome-Wide Association Study 21418511
    rs915179-rs2485662-rs4641-rs1468772 LMNA 1.56 2.5e-05 873 vs 443 New England Centenarian Study (NECS) (N = 738), (ii) the Southern Italian Centenarian Study (SICS) (N = 905), (iii) France (N = 1103), and (iv) the Einstein Ashkenazi Longevity Study (N = 702) American, Caucasian Mean age 101.5 GTCT Candidate Region/Gene 22340368
    rs915179 LMNA 1.34 2.3666e-05 801 vs 914 Caucasian Median age 104 A G Genome-Wide Association Study 22279548
    rs8191979 SHC1 0.38 230 vs 180 Japanese Mean age 100.8 +/- 1.5 Candidate Region/Gene 14530863
    rs7547654 FOXO6 1.08 0.2 1447 vs 1029 (German) 166 vs 216 (Italian) German Mean age 98.8 Candidate Region/Gene 21388494
    rs7539614 FOXO6 1.02 0.739 1447 vs 1029 (German) 166 vs 216 (Italian) German Mean age 98.8 Candidate Region/Gene 21388494
    rs701176 PCNXL2 1.02 4.74e-05 801 vs 914 Caucasian Median age 104 A G Genome-Wide Association Study 22279548
    rs6701445 TAF5L 1.84 4.19e-05 410 vs 553 Italian 90–109 Genome-Wide Association Study 21612516
    rs6693260 FOXO6 0.98 0.824 1447 vs 1029 (German) 166 vs 216 (Italian) German Mean age 98.8 Candidate Region/Gene 21388494
    rs6690527 FOXO6 1.01 0.867 1447 vs 1029 (German) 166 vs 216 (Italian) German Mean age 98.8 Candidate Region/Gene 21388494
    rs6657655 LYST 1.09 0.000883462 801 vs 914 Caucasian Median age 104 A G Genome-Wide Association Study 22279548
    rs4660532 FOXO6 0.93 0.224 1447 vs 1029 (German) 166 vs 216 (Italian) German Mean age 98.8 Candidate Region/Gene 21388494
    rs4660192 FOXO6 0.97 0.663 1447 vs 1029 (German) 166 vs 216 (Italian) German Mean age 98.8 Candidate Region/Gene 21388494
    rs4648884 RUNX3 0.00992 1173 vs 570 American 85-100 T Genome-Wide Association Study 22533364
    rs3753645 SHC1 1.28 0.64 230 vs 180 Japanese Mean age 100.8 +/- 1.5 T Candidate Region/Gene 14530863
    rs3753644 SHC1 1.28 0.64 230 vs 180 Japanese Mean age 100.8 +/- 1.5 T Candidate Region/Gene 14530863
    rs3215173 SHC1 1.60 0.15 230 vs 180 Japanese Mean age 100.8 +/- 1.5 G/- Candidate Region/Gene 14530863
    rs3211994 NTLH1 1.99 0.0056 1089 vs 736 1613 vs 1104 Danish 92-93 years old G A Candidate Region/Gene 22406557
    rs28969505 YTHDF2 2.19 0.023 137 vs 412 Italian age 99–109,years, mean age 101 years; 26 men, 111 women Candidate Region/Gene 16799135
    rs28969505 YTHDF2 2.19 0.023 137 vs 412 Italian age 99–109,years, mean age 101 years; 26 men, 111 women Candidate Region/Gene 16799135
    rs28969505 YTHDF2 0.047 136 vs 275 Italian Mean age 101 15-15 (205 bp) Candidate Region/Gene 16799135
    rs2769255 KCNQ4 (upstream) 1.08 5.17e-06 5974 (RS), 3267 (CHS), 3136 (FHS), 4511 (ARIC), 3219 (AGES), 902 (inCHIANTI), 620 (BLSA), 1661 (HABC), 1717 (SHIP) Whitehall II - 6000 (UK), English Longitudinal Study of Ageing (UK), Religious Order Study - 1100, Memory and Ageing Project American T Genome-Wide Association Study 21782286
    rs2495513 TMEM61 0.60 8.13e-05 410 vs 553 Italian 90–109 Genome-Wide Association Study 21612516
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    • 25 of 83 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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