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: + -
    No Age Effect « 
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    ‑ (19)   Candidate Region/Gene (382)   Meta‑Analysis (8)   Genome‑Wide Association Study (103)   Mitochondrial Haplogroup (27)  
  • Variant type: + -
    SNP (314)   Haplotype (43)   Other (1)   STR (7)   Deletion (1)  
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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
    rs1485780 CD2AP — 0.604 1364 — American, British Age range 50-108; mean age at death 80.2 C A Candidate Region/Gene 22445811
    VNTR DC-SIGNR — 0.041 361 vs 342 — Chinese >90 non-6/7 genotype 6/7 genotype Candidate Region/Gene 20003397
    XRCC5 120 bp 5` (GAPyA)n STR — — 0.0005 430 (case) vs 290 — British Mean 70 16+2 15 Candidate Region/Gene 16518718
    XRCC3 intron 3 STR — — 0.0005 430 (case) vs 290 — British Mean age 70 15 13 Candidate Region/Gene 16518718
    rs2866164 MTTP — 1.0 1651 vs 575 — Danish 92-93 — — Candidate Region/Gene 16015282
    APOC3-SstI-RFLP (3'UTR, 3238 nt) APOC3 — 0.05 229 vs 571 — Calabrian 81–109 (median 101) — — Candidate Region/Gene 12556235
    rs2282679 GC — 0.6 1038 vs 461 — Dutch 59.5 years (offspring of nonagerians) — — Candidate Region/Gene 23128285
    rs1801274 FCGR2A — 0.05 408 vs 446 vs 454 — German 100–110/ mean101.3 (SNP is His/Arg) — Candidate Region/Gene 16893392
    length (STR polymorphism) TH — 1.0 196 vs 358 471 vs 462 German (in replication) 96-110 years — — Candidate Region/Gene 21407269
    MTP -493G/T MTP — 0.854 — — Chinese — — — - 23273182
    APOE polymorphism APOE — 0.437 1408 cases — Brazilian 69.3 +/- 7.2 — — Candidate Region/Gene 17934638
    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
    rs11209971 FOXO6 0.94 0.336 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
    rs2721047 FOXO1A 0.98 0.177 1447 vs 1029 (initial) 166 vs 216 (Italian) (replication) German Mean age 98.8 — — Candidate Region/Gene 21388494
    rs2755209 FOXO1 0.98 0.77 1447 vs 1029 (German) 166 vs 216 (Italian) German Mean age 98.8 — — Candidate Region/Gene 21388494
    rs1078892 FOXO1 0.96 0.589 1447 vs 1029 (German) 166 vs 216 (Italian) German — — — Candidate Region/Gene 21388494
    rs2701859 FOXO1 0.90 0.117 1447 vs 1029 (German) 166 vs 216 (Italian) German Mean age 98.8 — — Candidate Region/Gene 21388494

    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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