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 (81)   No Age Effect (82)  
  • Study type: + -
    Candidate Region/Gene « 
  • Variant type: + -
    SNP (89)   Haplotype (23)   Other (1)   STR (1)   Deletion (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
    G/A-IGF1R, Gly/Asp-IRS2, and Ala/Val-UCP2 allele combination — 3.19 0.0006 208 vs 514 — Italian Mean age 96 non-AAV allele combi AAV allele combinati Candidate Region/Gene 21340542
    rs16928120 — — 0.00057 1600 samples (cases and controls combined) — German, Italian — — — Candidate Region/Gene 19367319
    S61712.1 (GenBank, 3` VNTR) — — 0.003 143 (51 m, 92 f) vs 158 (77 m, 81 f) — Italian 102 +/- 2 <35 repeats — Candidate Region/Gene 9050915
    IL6 VNTR A/B/C/D — 0.56 0.05 61 vs 94 — Italian Mean age 100 B non-B Candidate Region/Gene 17506774
    rs10277237 — — 0.805 321 vs 442 — Italian 89-107 — — Candidate Region/Gene 23572278
    rs10459953 — — 0.522 321 vs 442 — Italian 89-107 — — Candidate Region/Gene 23572278
    rs1879417 — — 0.018 321 vs 442 — Italian 89-107 — — Candidate Region/Gene 23572278
    APOE polymorphism APOE 0.38 0.002 200 (cases) vs 539 — Italian >88 e4 e2 Candidate Region/Gene 21703254
    APOE polymorphism - HP1/2 common polymorphism APOE — 0.013 200 (cases) vs 539 (initial) — Italian >88 e4-H2 (haplotype) — Candidate Region/Gene 21703254
    epsilon2/3/4 APOE — 0.05 67 vs 125 — Italian 99+ (mean: 100±2) epsilon4 — Candidate Region/Gene 10643896
    APOE polymorphism APOE 3.26 0.001 64 vs 1344 — Italian 100+ e4 e2 Candidate Region/Gene 16960022
    e4 APOE 0.41 0.05 79 vs 597 — Italian 100+ e4 — Candidate Region/Gene 24534555
    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
    rs1042522 TP53 0.57 0.006 100 very old vs 280 old vs 189 young — Italian 91+ (very old), 73-91 (old) G C Candidate Region/Gene 23125046
    rs1042522 TP53 — 0.006 503 vs 569 — Italian >81 R — Candidate Region/Gene 23125046
    rs1042522 TP53 0.57 0.006 100 very old vs 280 old vs 189 young — Italian 91+, 73-91 P — Candidate Region/Gene 23125046
    Msp1 restriction fragment length polymorphism in intron 6 (G/A) TP53 — 0.65 66 vs 150 — Italian 100.19±2.2 (95-105) — — Candidate Region/Gene 15195682
    rs1042522 TP53 — 0.85 66 vs 150 — Italian 100.19±2.2 (95-105) — — Candidate Region/Gene 15195682
    16 bp duplication in intron 3 (WT=no duplicaiton) TP53 — 0.59 66 vs 150 — Italian 100.19±2.2 (95-105) — — Candidate Region/Gene 15195682
    rs5882 CETP — 0.318 175 vs 189 — Italian 99.6 — — Candidate Region/Gene 15888337
    rs708272 CETP — 0.439 175 vs 189 — Italian 99.6 — — Candidate Region/Gene 15888337
    MNS16A TERT 0.75 0.019 200 vs 539 — Italian 88+ MNS16A*L — Candidate Region/Gene 23562826
    many SNPs INS — 0.05 1321 vs 1140 — Italian Mean age 101.9 (southern Italian), 101.0 (northern-central Italian), 104.41 (German), 103.1 (French) — — Candidate Region/Gene 19367319
    VNTR polymorphism IL6 0.56 0.07 61 centenarians and 94 middle-aged subjects — Italian 100 years vs. 52 years — — Candidate Region/Gene 17506774
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    • 25 of 180 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

    Suggest a new study Report a database issue