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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    variants.jpg
    polymorphism factor odds ratio pvalue initial number replication number Population age of cases shorter lived allele longer lived allele study type reference
    rs7412 APOE 1.15 0.405 597 vs 1275 Sichuan 90+ Candidate Region/Gene 24924924
    rs429538 APOE 0.88 0.2821 597 vs 1275 Sichuan 90+ Candidate Region/Gene 24924924
    rs189037 ATM 1.45 0.12 128 vs 150 Italian Mean age 98.7 +/- 5.1 Candidate Region/Gene 22960875
    rs189037 ATM 1.85 0.037 67 vs 61 Italian Centenarians Candidate Region/Gene 22960875
    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
    rs1042522 TP53 0.57 0.006 100 very old vs 280 old vs 189 young Italian 91+, 73-91 P Candidate Region/Gene 23125046
    rs1042522 TP53 0.88 0.005 9219 participants (Copenhagen City Heart Study) Danish Range: 20-95 G Candidate Region/Gene 18256523
    rs2701893 FOXO1 0.98 0.772 1447 vs 1029 (German) 166 vs 216 (Italian) German Mean age 98.8 Candidate Region/Gene 21388494
    rs17446593 FOXO1 0.93 0.338 1447 vs 1029 (German) 166 vs 216 (Italian) German Candidate Region/Gene 21388494
    rs2755209 FOXO1 0.98 0.77 1447 vs 1029 (German) 166 vs 216 (Italian) German Mean age 98.8 Candidate Region/Gene 21388494
    rs1078892 FOXO1 0.96 0.589 1447 vs 1029 (German) 166 vs 216 (Italian) German Candidate Region/Gene 21388494
    rs2701859 FOXO1 0.90 0.117 1447 vs 1029 (German) 166 vs 216 (Italian) German Mean age 98.8 Candidate Region/Gene 21388494
    rs12865518 FOXO1 1.07 0.307 1447 vs 1029 (German) 166 vs 216 (Italian) German Candidate Region/Gene 21388494
    rs2721069 FOXO1 0.93 0.251 1447 vs 1029 (German) 166 vs 216 (Italian) German Mean age 98.8 Candidate Region/Gene 21388494
    rs2755213 FOXO1 0.95 0.626 1447 vs 1029 (German) 166 vs 216 (Italian) German Mean age 98.8 Candidate Region/Gene 21388494
    rs2701880 FOXO1 0.83 0.12 1447 vs 1029 (German) 166 vs 216 (Italian) German Mean age 98.8 Candidate Region/Gene 21388494
    rs2951787 FOXO1 1.03 0.6 1447 vs 1029 (German) 166 vs 216 (Italian) German Mean age 98.8 Candidate Region/Gene 21388494
    rs2984121 FOXO1 1.05 0.178 1447 vs 1029 (German) 166 vs 216 (Italian) German Mean age 98.8 Candidate Region/Gene 21388494
    rs2721044 FOXO1 0.90 0.097 1447 vs 1029 (German) 166 vs 216 (Italian) German Candidate Region/Gene 21388494
    rs4943794 FOXO1 0.93 0.313 1447 vs 1029 (German) 166 vs 216 (Italian) German Mean age 98.8 Candidate Region/Gene 21388494
    rs1986649 FOXO1 0.92 0.229 1447 vs 1029 (German) 166 vs 216 (Italian) German Mean age 98.8 Candidate Region/Gene 21388494
    rs17630266 FOXO1 1.11 0.51 1447 vs 1029 (German) 166 vs 216 (Italian) German Mean age 98.8 Candidate Region/Gene 21388494
    rs12876443 FOXO1 1.00 0.989 1447 vs 1029 (German) 166 vs 216 (Italian) German Mean age 98.8 Candidate Region/Gene 21388494
    rs7981045 FOXO1 1.06 0.349 1447 vs 1029 (German) 166 vs 216 (Italian) German Mean age 98.8 Candidate Region/Gene 21388494
    rs9603776 FOXO1 1.05 0.778 1447 vs 1029 (German) 166 vs 216 (Italian) German Mean age 98.8 Candidate Region/Gene 21388494

    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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