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


    LVDB_word_cloud.png
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    variants.jpg
    polymorphism factor odds ratio pvalue initial number replication number Population age of cases shorter lived allele longer lived allele study type reference
    rs1799817 INSR — 0.205 122 vs 122 — Japanese mean age 106.8 — — Candidate Region/Gene 15582274
    rs2288404 INSR — 0.277 122 vs 122 — Japanese mean age 106.8 — — Candidate Region/Gene 15582274
    rs1800471 TGFB1 — 0.034 172 vs 247 — Italian 90-103 GC (genotype) — Candidate Region/Gene 15569360
    rs429358, rs7412 APOE — 0.0212 60 vs 89 — African European Range: 20-59 — — Candidate Region/Gene 20569235
    TGFB1 haplotypes TGFB1 — 0.05 297 vs 130 — Turkish, Bulgarian Age range: 65-99 codon 10 C/C, codon 25 G/G — Candidate Region/Gene 21299522
    TGFB1 haplotypes TGFB1 — 0.05 60 vs 40 — Bulgarian Age range: 65-99 codon 10 C/C, codon 25 G/G; −988 C/C, −800 G/G — Candidate Region/Gene 21299522
    KIR2DS3 haplotypes KIR2DS3 — 0.05 100 vs 100 — Irish Age range: 65-99 — — Candidate Region/Gene 21299522
    rs1799782 XRCC1 — 0.658 430 vs 290 — British Mean age 70 — — Candidate Region/Gene 16518718
    rs25487 XRCC1 — 0.51 430 vs 290 — British Mean age 70 — — Candidate Region/Gene 16518718
    rs3220637 XRCC1 — 0.0005 430 (case) vs 290 — British Mean age 70 16 — Candidate Region/Gene 16518718
    APOE polymorphism APOE — 0.437 1408 cases — Brazilian 69.3 +/- 7.2 — — Candidate Region/Gene 17934638
    APOE polymorphism APOE 0.38 0.002 200 (cases) vs 539 — Italian >88 e4 e2 Candidate Region/Gene 21703254
    APOE polymorphism - HP1/2 common polymorphism APOE — 0.013 200 (cases) vs 539 (initial) — Italian >88 e4-H2 (haplotype) — Candidate Region/Gene 21703254
    HP1/2 common polymorphism HP — 0.05 200 (cases) vs 539 (initial) (initial) — Italian >88 — — Candidate Region/Gene 21703254
    rs2075650 APOE 0.71 3.39e-17 403 vs 1670 4149 vs 7582 Dutch mean 94 e4 — Genome-Wide Association Study 21418511
    rs2075650 TOMM40 0.53 2.65e-06 403 vs 1670 3746 vs 5912 Dutch Mean age 94 G — Genome-Wide Association Study 21418511
    rs2302951 GRWD1 1.51 7.59e-05 403 vs 1670 3746 vs 5912 Dutch Mean age 94 — A Genome-Wide Association Study 21418511
    APOE polymorphism APOE 3.26 0.001 64 vs 1344 — Italian 100+ e4 e2 Candidate Region/Gene 16960022
    rs769449 APOE 0.70 0.018 1,089 vs 736 1,613 vs 1,104 Danish, German 92-93 Danish, 95–110 German G — — 22234866
    rs72533289 KIR2DS4 — 1.0 180 vs 180 — Irish Mean age 89 — — Candidate Region/Gene 15130674
    APOE haplotype - rs1346044 APOE — 0.0001 175 vs 178 — Finn 100.8 e4 e2 Candidate Region/Gene 10069711
    APOE polymorphism APOE — 0.02 80 vs 391 — Greek >80 epsilon4 — Candidate Region/Gene 17234815
    APOE e2/e3/e4 APOE 4.40 0.02 179 — Finn Minimum age 104 e3, e4 e2 Candidate Region/Gene 11213279
    rs5491 ICAM1 — 5e-66 5036 — American 28-70 TT, AT AA Genome-Wide Association Study 22174011
    APOE polymorphism APOE — 0.0001 291 vs 589 — Finn Mean age 97.5 e4 e2 Candidate Region/Gene 16487435

    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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