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 (1027)   No Age Effect (543)  
  • Study type: + -
    GWAS (2)   ‑ (27)   Candidate Region/Gene (784)   Meta‑Analysis (38)   Complete Mitochondrial Genome (2)   Whole‑Genome Linkage Scan (1)   Genome‑Wide Association Study (710)   Mitochondrial Haplogroup (36)   Mitochondrial genome (3)  
  • Variant type: + -
    SNP (572)   Locus (5)   Haplotype (87)   Other (1)   STR (11)   Deletion (5)   CNV (1)    (1)   VNTR (1)  
    • 1 2 3 4 5 6 7 8 9 10 11 12
    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
    rs1800896 IL10 3.10 0.0003 142 vs 153 — Mean age 67 AA GG Candidate Region/Gene 15466015
    rs1776180 EXO1 1.39 0.01 395 vs 411 455 vs 109 French, German Mean age 101.3 G C Candidate Region/Gene 19698732
    rs1801274 FCGR2A — 1.0 408 vs 446 vs 454 — German Centenarians — — Candidate Region/Gene 16893392
    rs1801274 FCGR2A — 0.05 408 vs 446 vs 454 — German 100–110/ mean101.3 (SNP is His/Arg) — Candidate Region/Gene 16893392
    rs11585393 FOXO6 1.04 0.531 1447 vs 1029 (German) 166 vs 216 (Italian) German Mean age 98.8 — — Candidate Region/Gene 21388494
    rs7539614 FOXO6 1.02 0.739 1447 vs 1029 (German) 166 vs 216 (Italian) German Mean age 98.8 — — Candidate Region/Gene 21388494
    rs7547654 FOXO6 1.08 0.2 1447 vs 1029 (German) 166 vs 216 (Italian) German Mean age 98.8 — — Candidate Region/Gene 21388494
    rs11581271 FOXO6 0.91 0.131 1447 vs 1029 (German) 166 vs 216 (Italian) German Mean age 98.8 — — Candidate Region/Gene 21388494
    rs1317558 FOXO6 1.11 0.257 1447 vs 1029 (German) 166 vs 216 (Italian) German Mean age 98.8 — — Candidate Region/Gene 21388494
    rs1317557 FOXO6 1.04 0.824 1447 vs 1029 (German) 166 vs 216 (Italian) German Mean age 98.8 — — Candidate Region/Gene 21388494
    rs6693260 FOXO6 0.98 0.824 1447 vs 1029 (German) 166 vs 216 (Italian) German Mean age 98.8 — — Candidate Region/Gene 21388494
    rs4660532 FOXO6 0.93 0.224 1447 vs 1029 (German) 166 vs 216 (Italian) German Mean age 98.8 — — Candidate Region/Gene 21388494
    rs6690527 FOXO6 1.01 0.867 1447 vs 1029 (German) 166 vs 216 (Italian) German Mean age 98.8 — — Candidate Region/Gene 21388494
    rs4660192 FOXO6 0.97 0.663 1447 vs 1029 (German) 166 vs 216 (Italian) German Mean age 98.8 — — Candidate Region/Gene 21388494
    rs11209971 FOXO6 0.94 0.336 1447 vs 1029 (German) 166 vs 216 (Italian) German Mean age 98.8 — — Candidate Region/Gene 21388494
    rs28969505 YTHDF2 2.19 0.023 137 vs 412 — Italian age 99–109,years, mean age 101 years; 26 men, 111 women — — Candidate Region/Gene 16799135
    rs2476601 PTPN22 — 0.663 225 vs 278 — Italian Mean age 93 — — Candidate Region/Gene 21113673
    REN polymorphism - mtDNA mtDNA 3.27 0.006 157 — Italian 100+ — REN10 - mtDNA haplogroup H Candidate Region/Gene 11938442
    rs1800896 IL10 — 0.019 174 vs 227 — Italian >100 — GG Candidate Region/Gene 12676903
    rs1800896 - rs1800629 IL10 — 0.038 174 vs 224 — Italian >100 — GG-GG (only in men) Candidate Region/Gene 12676903
    Not specified REN — 0.029 157 vs 218 — Italian Centenarians 11 — Candidate Region/Gene 15105583
    −1082 G/A IL10 — 0.025 190 vs 260 — Italian >99 years old — G Candidate Region/Gene 11857058
    --1082G-->A IL10 — 0.0001 109 (oldest old men) vs 263 (healthy controls) — Italian >95 A — Candidate Region/Gene 15466015
    - GSTM1 — 0.74 94 vs 418 — Italian 100 years vs 46 years — — - 11162685
    IVS2nt-124 FASLG — 0.315 50 vs 86 — Italian 100.8 ± 1.8 (100 to 106) — — Candidate Region/Gene 11965496
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    • 25 of 83 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

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