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 (344)   No Age Effect (382)  
  • Study type: + -
    Candidate Region/Gene « 
  • Variant type: + -
    SNP (375)   Locus (3)   Haplotype (53)   Other (1)   STR (11)   Deletion (5)   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
    DRD4 7R allele DRD4 — 3.5e-08 310 vs 2909 — European mean age 95.2 years — — Candidate Region/Gene 23283341
    rs507879 CASP5 — 1.4e-05 510 vs 549 — Russian 75–103 AG AA, GG Candidate Region/Gene 20434535
    VNTR in intron 5 (DeltaEF1 site) SIRT3 — 8e-05 242 vs 703 — Italian Median age 102 2b — Candidate Region/Gene 15676284
    rs2542052 APOC3 — 0.0001 213 old vs 216 offspring vs 258 controls — Ashkenazi Jewish 100+ A — Candidate Region/Gene 16602826
    rs3842755 INS 1.79 0.0001 1089 vs 736 1613 vs 1104 Danish 92-93 years old C A Candidate Region/Gene 22406557
    rs2542052 APOC3 — 0.0001 Centenarians (n = 213) their offspring (n = 216) vs 258 — Ashkenazi Jewish mean age 98.2 A — Candidate Region/Gene 16602826
    rs3842755 INS 1.79 0.0001 1089 vs 736 1613 vs 1104 Danish 92.2–93.8 (mean age 93.2 C — Candidate Region/Gene 22406557
    rs2542052 APOC3 — 0.0001 213 old vs 216 offspring vs 258 controls — Ashkenazi Jewish — A — Candidate Region/Gene 16602826
    rs2542052 APOC3 — 0.001 213 old vs 216 offspring vs 258 controls — Ashkenazi Jewish — A — Candidate Region/Gene 16602826
    3' 28-base pair variable number tandem repeat (HRAS1 3'VNTR) HRAS 1.13 0.002 234 vs 467 — Italian centenarians a3 allele (see notes) — Candidate Region/Gene 11943467
    rs4073591 DEAF1 — 0.002618 1600 samples (cases and controls combined) — German, Italian — — — Candidate Region/Gene 19367319
    rs189037 ATM — 0.004 875 vs 886 — Chinese mean 94.6 — CT Candidate Region/Gene 20816691
    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
    rs4073590 DEAF1 — 0.004259 1600 samples (cases and controls combined) — German, Italian — — — Candidate Region/Gene 19367319
    HUMTHO1.STR TH 0.85 0.005 210 vs 755 — Italian 100+ — 10* (imperfect allele 10) Candidate Region/Gene 12297342
    T-455C APOC3 — 0.005 183 vs 110 — Russian 70-106 T C Candidate Region/Gene 11193221
    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
    rs11040489 KRTAP5-6 — 0.005869 1600 samples (cases and controls combined) — German, Italian — — — Candidate Region/Gene 19367319
    rs800140 TSPAN32 — 0.0081 1600 samples (cases and controls combined) — German, Italian — — — Candidate Region/Gene 19367319
    rs4930001 DEAF1 — 0.010851 1600 samples (cases and controls combined) — German, Italian — — — Candidate Region/Gene 19367319
    rs939915 SIRT3 — 0.0145 2461 samples (cases and controls combined) — Italian — — — Candidate Region/Gene 19367319
    rs11039149 NR1H3 — 0.015 599 — Dutch 85 years haplotype 1 haplotype 2 Candidate Region/Gene 17452725
    APOA1-MspI-RFLP (−75) APOA1 — 0.016 229 vs 571 — Calabrian 81–109 (median 101) A (=Absence) — Candidate Region/Gene 12556235
    rs2509049 H2AFX 0.63 0.017 1089 (see notes - follow-up study) 563 (see notes - follow-up study) Danish 92.2–93.8 (mean age 93.2) w/ 11.4 years follow-up A — Candidate Region/Gene 22406557
    VNTR in intron 5 (GATA3 site) SIRT3 — 0.025 242 vs 703 — Italian Median age 102 2a — Candidate Region/Gene 15676284
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    • 25 of 56 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