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
    rs11235972 UCP3 — 0.029 908 vs 708 — Danish 93 A — Candidate Region/Gene 22743239
    rs1685354 UCP3 — 0.762 908 vs 708 — Danish 93 — — Candidate Region/Gene 22743239
    rs3781907 UCP3 — 0.05 908 vs 708 — Danish 93 G — Candidate Region/Gene 22743239
    rs647126 UCP3 — 0.447 908 vs 708 — Danish 93 — — Candidate Region/Gene 22743239
    VNTR in intron 5 (DeltaEF1 site) SIRT3 — 8e-05 242 vs 703 — Italian Median age 102 2b — Candidate Region/Gene 15676284
    VNTR in intron 5 (GATA3 site) SIRT3 — 0.025 242 vs 703 — Italian Median age 102 2a — Candidate Region/Gene 15676284
    many SNPs TH — 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
    many SNPs IGF2 — 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
    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
    many SNPs HRAS1 — 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
    rs939915 SIRT3 — 0.0145 2461 samples (cases and controls combined) — Italian — — — Candidate Region/Gene 19367319
    rs4073591 DEAF1 — 0.002618 1600 samples (cases and controls combined) — German, Italian — — — Candidate Region/Gene 19367319
    rs4073590 DEAF1 — 0.004259 1600 samples (cases and controls combined) — German, Italian — — — Candidate Region/Gene 19367319
    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
    rs11235972 UCP3 — 0.029 908 (1905 Cohort) vs 708 (Study of Middle-Aged Danish Twins (MADT)) — Danish 93 A — Candidate Region/Gene 22743239
    rs3781907 UCP3 — 0.05 908 (1905 Cohort) vs 708 (Study of Middle-Aged Danish Twins (MADT)) — Danish 93 G — Candidate Region/Gene 22743239
    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
    HinfI347 APOA4 — 0.05 71 vs 100 — Italian mean102.3 years — — Candidate Region/Gene 9622284
    - TH — 0.045 202 vs 170 vs 82 — Italian 100-105 (oldest of 3 age groups, see notes) — — Candidate Region/Gene 11053670
    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
    APOA1-MspI-RFLP (−75) APOA1 — 0.016 229 vs 571 — Calabrian 81–109 (median 101) A (=Absence) — Candidate Region/Gene 12556235
    rs147610191 APOA4 — 0.05 229 vs 571 — Calabrian 81–109 (median 101) — — Candidate Region/Gene 12556235
    rs1815739 ACTN3 1.03 0.1 59 vs 283 — Caucasian, Spaniard centenarians (aged 100–108 years) — — Candidate Region/Gene 21407828
    rs2542052 APOC3 — 0.0001 213 old vs 216 offspring vs 258 controls — Ashkenazi Jewish 100+ A — Candidate Region/Gene 16602826
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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