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 (84)   No Age Effect (161)  
  • Study type: + -
    ‑ (14)   Candidate Region/Gene (180)   Genome‑Wide Association Study (67)   Mitochondrial Haplogroup (1)  
  • Variant type: + -
    SNP (157)   Haplotype (23)   Other (1)   STR (1)   Deletion (1)   VNTR (1)  
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    13 14 15 16 17 18 19 20 21 X Y MT
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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
    (A/C)−110 HSP70-1 0.40 0.005 120 vs 471 — Italian 100 years and above A — Candidate Region/Gene 14501185
    - HRAS1 — 0.05 see notes; stratified by population; total = 1321 cases versus 1140 controls 1 (specifically for SIRT3 in a French population) French, German, Italian centenarians; see notes — — - 19367319
    - SIRT3 — 0.145 see notes; stratified by population; total = 1321 cases versus 1140 controls — French, German, Italian centenarians; see notes — — - 19367319
    - TH — 0.05 see notes; stratified by population; total = 1321 cases versus 1140 controls — French, German, Italian centenarians; see notes — — - 19367319
    - INS — 0.05 see notes; stratified by population; total = 1321 cases versus 1140 controls — French, German, Italian centenarians; see notes — — - 19367319
    - IGF2 — 0.05 see notes; stratified by population; total = 1321 cases versus 1140 controls — French, German, Italian centenarians; see notes — — - 19367319
    - TH — 0.045 202 vs 170 vs 82 — Italian 100-105 (oldest of 3 age groups, see notes) — — Candidate Region/Gene 11053670
    - GSTM1 — 0.54 66 vs 150 — Italian 100.19±2.2 (95-105) — — Candidate Region/Gene 15195682
    - GSTM1 — 0.74 94 vs 418 — Italian 100 years vs 46 years — — - 11162685
    - CYP1A — 0.68 94 vs 418 — Italian 100 years vs 46 years — — Candidate Region/Gene 11162685
    --1082G-->A IL10 — 0.0001 109 (oldest old men) vs 263 (healthy controls) — Italian >95 A — Candidate Region/Gene 15466015
    -1377G/A FAS — 0.106 50 vs 86 — Italian 100.8 ± 1.8 (100 to 106) — — Candidate Region/Gene 11965496
    -330T/G IL2 1.43 0.096 168 vs 214 — Italian >99 — — Candidate Region/Gene 16518704
    -670A/G FAS — 0.608 50 vs 86 — Italian 100.8 ± 1.8 (100 to 106) — — Candidate Region/Gene 11965496
    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
    192 (Q/R) PON1 1.30 0.007 308 vs 579 Italian, 296 vs 296 Irish — Irish, Italian Italian 100.8 years, Irish 89.8 years 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
    55 (L/M) PON1 0.94 0.44 308 vs 579 Italian, 296 vs 296 Irish — Irish, Italian Italian 100.8 years, Irish 89.8 years — — Candidate Region/Gene 15050299
    ?145K LMP7 — 0.849 157 vs 311 — Italian 88+ K — Candidate Region/Gene 11772516
    ?60H LMP2 — 0.756 157 vs 311 — Italian 88+ H — Candidate Region/Gene 11772516
    A-3826G (rs1800592) - C-3740A UCP1 0.81 0.014 236 vs 741 — Italian >91 G-A — Candidate Region/Gene 21827845
    AAT M/Z/S AAT 0.18 1e-07 143 vs 255 vs 127 — Italian Centenarians M, S Z Candidate Region/Gene 17048073
    ADA genotypes ADA — 0.003 62 vs 64 vs143 vs 272 — Italian Minimum age 90 ADA*2 non-ADA*2 Candidate Region/Gene 20174870
    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 263 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