Denigma

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 effect: + -
    Longevity‑Associated « 
  • Study type: + -
    GWAS (2)   ‑ (8)   Candidate Region/Gene (344)   Meta‑Analysis (30)   Complete Mitochondrial Genome (1)   Genome‑Wide Association Study (607)   Mitochondrial Haplogroup (7)   Mitochondrial genome (3)  
  • Variant type: + -
    SNP (243)   Locus (3)   Haplotype (39)   STR (3)   Deletion (1)   CNV (1)    (1)   VNTR (1)  
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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
    rs4420638 APOC1 0.53 1.8e-10 763 vs 1085 754 vs 850 German Mean age 99.7 G — Genome-Wide Association Study 21740922
    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
    APOE polymorphism APOE 0.38 0.002 200 (cases) vs 539 — Italian >88 e4 e2 Candidate Region/Gene 21703254
    epsilon2/3/4 APOE — 0.05 67 vs 125 — Italian 99+ (mean: 100±2) epsilon4 — Candidate Region/Gene 10643896
    rs1800471 TGFB1 — 0.034 172 vs 247 — Italian 90-103 GC (genotype) — Candidate Region/Gene 15569360
    rs429358, rs7412 APOE — 0.009 1477 total — Italian 18-109 e4 non-e4 - 16896546
    rs2075650 APOE 0.71 3.39e-17 403 vs 1670 4149 vs 7582 Dutch mean 94 e4 — Genome-Wide Association Study 21418511
    rs2075650 TOMM40 0.53 2.65e-06 403 vs 1670 3746 vs 5912 Dutch Mean age 94 G — Genome-Wide Association Study 21418511
    rs2302951 GRWD1 1.51 7.59e-05 403 vs 1670 3746 vs 5912 Dutch Mean age 94 — A Genome-Wide Association Study 21418511
    APOE e2/e4 APOE 2.00 0.001 300 vs 160 — French 100+ e4 e2 Candidate Region/Gene 8136829
    E2 / E3 / E4 APOE — 1.2e-08 560 vs 560 — French centenarians 100th year or beyond, mean age 103.1 E4 — Candidate Region/Gene 11280044
    APOE e2,e3,e4 APOE 9.24 0.01 224 vs 441 — Ashkenazi Jewish 75 e4 e2 Candidate Region/Gene 15621215
    rs429358, rs7412 APOE — 0.025 (150 m, 74 f) vs (121 m, 320 f) — Ashkenazi Jewish Mean age 75 e4 e2 Candidate Region/Gene 15621215
    APOE polymorphism APOE — 0.02 80 vs 391 — Greek >80 epsilon4 — Candidate Region/Gene 17234815
    APOE4 APOE — 0.71 106 vs 349 — American 70-79 (duration of study - 7 years) e4 — Candidate Region/Gene 16799145
    rs5491 ICAM1 — 5e-66 5036 — American 28-70 TT, AT AA Genome-Wide Association Study 22174011
    rs429358, rs7412 APOE 0.75 0.005 2307 vs 764 — American, Danish Mean age 60.2 e4 e2 Candidate Region/Gene 23040522
    rs2075650 TOMM40 0.70 0.002 2307 vs 764 — American, Danish Mean age 60.2 G A Candidate Region/Gene 23040522
    rs2708754 ZNF331 0.94 5.79e-05 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 — — A Genome-Wide Association Study 21782286
    rs10412199 ATCAY 0.91 3.02e-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 — — A Genome-Wide Association Study 21782286
    rs429358, rs7412 APOE — 0.0005 318 vs 350 376 vs 506 American, Caucasian Mean age 100,8 e4 e2 Candidate Region/Gene 18034366
    rs2075650 APOE — 0.000527 1364 — American, British Age range 50-108; mean age at death 80.2 C T Candidate Region/Gene 22445811
    APOE4 APOE — 0.013 35 vs 125 — Chinese 90 years or over High E4 frequency — Candidate Region/Gene 11780357
    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
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    • 25 of 46 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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