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
    323ins10 F7 0.69 0.01 187 vs 201 — Danish centenarians 323P0 — Candidate Region/Gene 11602206
    IVS7 FVII — 0.69 113 vs 100 — Scottish 96 vs 32 — — - 10744171
    KL-VS KLOTHO 5.88 0.004 216 vs 309 — Ashkenazi Jewish 95 years and over homozygous — Candidate Region/Gene 15677572
    R353Q F7 — 0.045 224 vs 441 — Ashkenazi Jewish 75 A G Candidate Region/Gene 15621215
    R353Q FVII — 0.61 113 vs 100 — Scottish 96 years vs 32 years — — - 10744171
    rs1054016 TNFSF11 1.09 0.579 137 vs 213 — Korean Mean age 90 T — Genome-Wide Association Study 19641380
    rs1078892 FOXO1 0.96 0.589 1447 vs 1029 (German) 166 vs 216 (Italian) German — — — Candidate Region/Gene 21388494
    rs1207362 KL 0.63 0.0001 1089 vs 736 1613 vs 1104 Danish 92-93 years old A C Candidate Region/Gene 22406557
    rs1207362 KL 0.63 0.0001 1089 vs 736 1613 vs 1104 Danish 92.2–93.8 (mean age 93.2 A — Candidate Region/Gene 22406557
    rs12865518 FOXO1 1.07 0.307 1447 vs 1029 (German) 166 vs 216 (Italian) German — — — Candidate Region/Gene 21388494
    rs12876443 FOXO1 1.00 0.989 1447 vs 1029 (German) 166 vs 216 (Italian) German Mean age 98.8 — — Candidate Region/Gene 21388494
    rs1334241 FOXO1A 1.01 0.87 297 vs 603;279 vs 797;383 vs 363 — Caucasian 95.3 ± 2.2_x000D_;+M19994.5 ± 2.1_x000D_;mean 97.7, 95– 112 — — Candidate Region/Gene 19489743
    rs17446593 FOXO1 0.93 0.338 1447 vs 1029 (German) 166 vs 216 (Italian) German — — — Candidate Region/Gene 21388494
    rs17630266 FOXO1 — 1.0 761 vs 1056 350 vs 350 Chinese mean age 102.3 — — Candidate Region/Gene 19793722
    rs17630266 FOXO1 1.11 0.51 1447 vs 1029 (German) 166 vs 216 (Italian) German Mean age 98.8 — — Candidate Region/Gene 21388494
    rs17702471 GPC6 1.16 0.000147857 801 vs 914 — Caucasian Median age 104 A G Genome-Wide Association Study 22279548
    rs1805097 IRS2 2.03 0.0003 144 vs 418 — Italian 85-100 years old non-AA AA Candidate Region/Gene 19887537
    rs1805097 IRS2 2.07 0.04 144 vs 418 — Caucasian 85 to 104, mean age = 96 ± 4 C — Candidate Region/Gene 19887537
    rs1986649 FOXO1 0.92 0.229 1447 vs 1029 (German) 166 vs 216 (Italian) German Mean age 98.8 — — Candidate Region/Gene 21388494
    rs201058276 F7 0.68 0.01 187 vs 201 — Danish centenarians R — Candidate Region/Gene 11602206
    rs2297626 FOXO1A — 0.512 122 vs 122 — Japanese mean age 106.8 — — Candidate Region/Gene 15582274
    rs2297627 FOXO1A — 0.495 122 vs 122 — Japanese mean age 106.8 — — Candidate Region/Gene 15582274
    rs2701859 FOXO1 0.90 0.117 1447 vs 1029 (German) 166 vs 216 (Italian) German Mean age 98.8 — — Candidate Region/Gene 21388494
    rs2701880 FOXO1 0.83 0.12 1447 vs 1029 (German) 166 vs 216 (Italian) German Mean age 98.8 — — Candidate Region/Gene 21388494
    rs2701893 FOXO1 0.98 0.772 1447 vs 1029 (German) 166 vs 216 (Italian) German Mean age 98.8 — — Candidate Region/Gene 21388494
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    • 25 of 51 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