Longevity Variant Database

Narrow results by variant, study, or associated fields (e.g. gene symbol ADRB2):

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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
    A/G IGF2 0.063 (150 m, 74 f) vs (121 m, 320 f) Ashkenazi Jewish Mean age 75 A, AA Candidate Region/Gene 15621215
    AAT M/Z/S AAT 0.21 0.0001 143 vs 255 Minimum age 99 M, S Candidate Region/Gene 17048073
    AAT M/Z/S AAT 0.18 1e-07 143 vs 255 vs 127 Italian Centenarians M, S Z Candidate Region/Gene 17048073
    ACE D/I ACE 0.02 689 Danish Minimum age 73 II DI, DD Candidate Region/Gene 12547486
    ACE genotype ACE 0.716 102 vs 7232 Korean Mean age 102 Candidate Region/Gene 12634288
    ADA genotypes ADA 0.003 62 vs 64 vs143 vs 272 Italian Minimum age 90 ADA*2 non-ADA*2 Candidate Region/Gene 20174870
    AGT AGT 1.0 224 vs 441 Ashkenazi Jewish 75 Candidate Region/Gene 15621215
    ApaI IGF2 0.063 224 vs 441 Ashkenazi Jewish 75 G A Candidate Region/Gene 15621215
    Apo C-I 1>2 Apo C-I 0.05 282 vs 200 British 84+ Apo C-I 2 Candidate Region/Gene 9105559
    APOA1-MspI-RFLP (−75) APOA1 0.016 229 vs 571 Calabrian 81–109 (median 101) A (=Absence) Candidate Region/Gene 12556235
    APOA1-MspI-RFLP A/P alleles APOA1 0.045 413 vs. 571 Italian median age 101 A P Candidate Region/Gene 12556235
    apoAIV(360:His) APOA4 0.005 119 (see notes) vs 264 French 74.29 ∓ 8.46 ApoAIV-1_x000D_, by the order of the sentence - I'm assuming it's Glutamine = G Candidate Region/Gene 9533408
    APOB XbaI − SI000565Q APOB 0.006 191 (case) vs 53 (initial) Chinese > 90 baseline, Mean age 97 +/- 3 X+ - Short X+ - Medium Candidate Region/Gene 17393087
    APOC3 T455C APOC3 0.05 147 elderly individuals (70–106 years old) Russian mean age: 84.6 years Candidate Region/Gene 11193221
    APOC3-SstI-RFLP (3'UTR, 3238 nt) APOC3 0.05 229 vs 571 Calabrian 81–109 (median 101) Candidate Region/Gene 12556235
    APOE e2,e3,e4 APOE 9.24 0.01 224 vs 441 Ashkenazi Jewish 75 e4 e2 Candidate Region/Gene 15621215
    APOE e2,e3,e4 APOE 0.05 185 vs 486 Finn Over 100 E4 e2 Candidate Region/Gene 8018664
    APOE e2/e3/e4 APOE 4.40 0.02 179 Finn Minimum age 104 e3, e4 e2 Candidate Region/Gene 11213279
    APOE e2/e4 APOE 2.00 0.001 300 vs 160 French 100+ e4 e2 Candidate Region/Gene 8136829
    APOE haplotype - rs1346044 APOE 0.0001 175 vs 178 Finn 100.8 e4 e2 Candidate Region/Gene 10069711
    apoE haplotypes APOE 0.013 35 old vs 71 young vs 54 MI patients Chinese 90+ apoE4 Candidate Region/Gene 11780357
    apoE haplotypes 0.02 80 vs 391 Greek 80+ Apo e4 Candidate Region/Gene 17234815
    apoE haplotypes 0.0042 3924 American 5-70 Apo e4 Candidate Region/Gene 21332925
    apoE haplotypes APOE 0.013 35 old vs 71 young vs 54 MI patients Chinese 90 apoE4 ApT4 Candidate Region/Gene 11780357
    apoE haplotypes APOE 0.013 35 old vs 71 young vs 54 MI patients Chinese 90 apoE4 Candidate Region/Gene 11780357

    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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