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
    rs3851179 PICALM — 0.227 1364 — American, British Age range 50-108; mean age at death 80.2 G A Candidate Region/Gene 22445811
    rs610932 MS4A6A — 0.176 1364 — American, British Age range 50-108; mean age at death 80.2 C A Candidate Region/Gene 22445811
    - 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
    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
    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
    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
    CTSD CTSD — 1.0 224 vs 441 — Ashkenazi Jewish 75 — — Candidate Region/Gene 15621215
    DRD4 DRD4 — 1.0 224 vs 441 — Ashkenazi Jewish 75 — — Candidate Region/Gene 15621215
    DRD4 7R allele DRD4 — 3.5e-08 310 vs 2909 — European mean age 95.2 years — — Candidate Region/Gene 23283341
    G477T SIRT3 — 0.0272 801 — Italian 120 subject aged 100 or older GT TT Candidate Region/Gene 14580859
    HinfI347 APOA4 — 0.05 71 vs 100 — Italian mean102.3 years — — Candidate Region/Gene 9622284
    HRAS1 3'VNTR HRAS 1.13 0.551 234 vs 467 — Italian Minimum age 100 a3 non-a3 Candidate Region/Gene 11943467
    HUMTHO1.STR TH 0.85 0.005 210 vs 755 — Italian 100+ — 10* (imperfect allele 10) Candidate Region/Gene 12297342
    length (STR polymorphism) TH — 1.0 196 vs 358 471 vs 462 German (in replication) 96-110 years — — Candidate Region/Gene 21407269
    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
    rs11039149 NR1H3 — 0.015 599 — Dutch 85 years haplotype 1 haplotype 2 Candidate Region/Gene 17452725
    rs11040489 KRTAP5-6 — 0.005869 1600 samples (cases and controls combined) — German, Italian — — — Candidate Region/Gene 19367319
    rs11235972 UCP3 — 0.029 908 vs 708 — Danish 93 A — Candidate Region/Gene 22743239
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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