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 « 
  • Study type: + -
    Candidate Region/Gene « 
  • Variant type: + -
    SNP (209)   Haplotype (17)   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
    APOE e2,e3,e4 APOE — 0.05 185 vs 486 — Finn Over 100 E4 e2 Candidate Region/Gene 8018664
    rs662 PON1 — 1.0 579 vs 308 — Italian Over 100 G A Candidate Region/Gene 12082503
    rs854560 PON1 — 1.0 579 vs 308 — Italian Over 100 — — Candidate Region/Gene 12082503
    rs1063539 ADIPOQ10 — 0.2 213 vs 402 — Japanese minimum 95; mean 97.9 — — Candidate Region/Gene 18765803
    rs182052 ADIPOQ10 — 0.22 213 vs 402 — Japanese minimum 95; mean 97.9 — — Candidate Region/Gene 18765803
    rs266729 ADIPOQ10 — 0.08 213 vs 402 — Japanese minimum 95; mean 97.9 — — Candidate Region/Gene 18765803
    rs2755209 FOXO1 — 0.48 213 vs 402 — Japanese minimum 95; mean 97.9 — — Candidate Region/Gene 18765803
    rs2721069 FOXO1 — 0.62 213 vs 402 — Japanese minimum 95; mean 97.9 — — Candidate Region/Gene 18765803
    rs2755213 FOXO1 — 0.77 213 vs 402 — Japanese minimum 95; mean 97.9 — — Candidate Region/Gene 18765803
    rs7069102 SIRT1 — 0.84 213 vs 402 — Japanese minimum 95; mean 97.9 — — Candidate Region/Gene 18765803
    rs10823112 SIRT1 — 0.44 213 vs 402 — Japanese minimum 95; mean 97.9 — — Candidate Region/Gene 18765803
    rs1885472 SIRT1 — 0.71 213 vs 402 — Japanese minimum 95; mean 97.9 — — Candidate Region/Gene 18765803
    rs8051232 COQ7 — 0.9 213 vs 402 — Japanese minimum 95; mean 97.9 — — Candidate Region/Gene 18765803
    rs11074359 COQ7 — 0.43 213 vs 402 — Japanese minimum 95; mean 97.9 — — Candidate Region/Gene 18765803
    rs7192898 COQ7 — 0.73 213 vs 402 — Japanese minimum 95; mean 97.9 — — Candidate Region/Gene 18765803
    rs2071069 TPI1 — 0.05 1422 vs 967 — German mean age: 98.8, age range: 95–110 (SNP is G/A) — Candidate Region/Gene 18510744
    rs2071065 TPI1 — 0.05 1422 vs 967 — German mean age: 98.8, age range: 95–110 (SNP is T/C) — Candidate Region/Gene 18510744
    Cdx2-GATA haplotype 1 allele Vitamin D receptor — 0.78 935 participants — Dutch mean age = 75.7 years — — Candidate Region/Gene 21051524
    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
    • Page 1 of 16
    • 25 of 382 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