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: + -
    Candidate Region/Gene « 
  • Variant type: + -
    SNP (153)   Locus (2)   Haplotype (31)   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
    rs2075650 APOE — 0.000527 1364 — American, British Age range 50-108; mean age at death 80.2 C T Candidate Region/Gene 22445811
    rs429358 + rs7412 APOE — 0.04 1236 vs 326 — Chinese 60+ e4 non-e4 Candidate Region/Gene 9792194
    rs978739 TAS2R16 0.62 0.001 348 vs 593 — Calabrian Mean age 93.82 non-AA AA Candidate Region/Gene 23133589
    (A/C)−110 HSP70-1 0.40 0.005 120 vs 471 — Italian 100 years and above A — Candidate Region/Gene 14501185
    - CYP1A — 0.68 94 vs 418 — Italian 100 years vs 46 years — — Candidate Region/Gene 11162685
    - APOC1 — 0.05 282 vs 200 — British 84 and over — — Candidate Region/Gene 9105559
    - TH — 0.045 202 vs 170 vs 82 — Italian 100-105 (oldest of 3 age groups, see notes) — — Candidate Region/Gene 11053670
    - F5 — 0.045 (150 m, 74 f) vs (121 m, 320 f) — Ashkenazi Jewish Mean age 75 A — Candidate Region/Gene 15621215
    --1082G-->A IL10 — 0.0001 109 (oldest old men) vs 263 (healthy controls) — Italian >95 A — Candidate Region/Gene 15466015
    -308G/A TNF 0.33 0.001 71 vs 99 — Mexican 86.2 G — Candidate Region/Gene 16269080
    1/s 5HTT — 0.05 265 vs 225 — Japanese 101.2 S — Candidate Region/Gene 16095668
    1376G/T;1388G/A;95A/G;871G/A;1024C/T;1360C/T;392 G/T G6PD 6.30 0.013 173 total (see notes) — Chinese >80 — — Candidate Region/Gene 17077204
    192 PON1 1.26 0.007 Italian: 308 vs 579; Northern Irish: 296 vs 296 — Irish Italian: Mean age 100.8 +/- 2.1; Northern Irish: Mean age 89.8 +/- 5.7 Q — Candidate Region/Gene 15050299
    192/55 loci PON1 — 0.01 579 vs 308 — Italian Over 100 — R+M+ Candidate Region/Gene 12082503
    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
    323ins10 F7 0.69 0.01 187 vs 201 — Danish centenarians 323P0 — Candidate Region/Gene 11602206
    A-3826G (rs1800592) - C-3740A UCP1 0.81 0.014 236 vs 741 — Italian >91 G-A — Candidate Region/Gene 21827845
    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
    AAT M/Z/S AAT 0.18 1e-07 143 vs 255 vs 127 — Italian Centenarians M, S Z Candidate Region/Gene 17048073
    ACE D/I ACE — 0.02 689 — Danish Minimum age 73 II DI, DD Candidate Region/Gene 12547486
    ADA genotypes ADA — 0.003 62 vs 64 vs143 vs 272 — Italian Minimum age 90 ADA*2 non-ADA*2 Candidate Region/Gene 20174870
    ApaI IGF2 — 0.063 224 vs 441 — Ashkenazi Jewish 75 G A Candidate Region/Gene 15621215
    Apo C-I 1>2 Apo C-I — 0.05 282 vs 200 — British 84+ Apo C-I 2 — Candidate Region/Gene 9105559
    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
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    • 25 of 344 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