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 « 
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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
    rs4420638 — 0.85 0.176 597 vs 1275 — Sichuan 90+ — — Candidate Region/Gene 24924924
    rs13306703 — — 0.764 1612 vs 1104 — German 90+ — — Candidate Region/Gene 24163049
    rs1048310 — — 0.87 208 vs 399 — Japanese 95+ — — Candidate Region/Gene 23770741
    rs6589722 — — 0.015 209 vs 402 — Japanese 95+ — — Candidate Region/Gene 23770741
    rs10811661 — — 0.13 213 vs 402 — Japanese 95+ — — Candidate Region/Gene 23770741
    rs2999131 — — 0.31 208 vs 391 — Japanese 95+ — — Candidate Region/Gene 23770741
    rs10459953 — — 0.522 321 vs 442 — Italian 89-107 — — Candidate Region/Gene 23572278
    rs10277237 — — 0.805 321 vs 442 — Italian 89-107 — — Candidate Region/Gene 23572278
    rs1799990 — — 1.0 150 vs 165 — Polish Centenarian — — Candidate Region/Gene 23406923
    HRAS1 LASS1 (CCT) APOE — 4.1e-05 147 vs 188 — Georgian — — — Candidate Region/Gene 20569235
    rs449647 APOE 1.01 0.767 597 vs 1275 — Sichuan 90+ — — Candidate Region/Gene 24924924
    rs440446 APOE 1083.00 0.509 597 vs 1275 — Sichuan 90+ — — Candidate Region/Gene 24924924
    rs769448 APOE 1.09 0.66 597 vs 1275 — Sichuan 90+ — — Candidate Region/Gene 24924924
    rs769449 APOE 0.90 0.62 597 vs 1275 — Sichuan 90+ — — Candidate Region/Gene 24924924
    rs7412 APOE 1.15 0.405 597 vs 1275 — Sichuan 90+ — — Candidate Region/Gene 24924924
    rs429538 APOE 0.88 0.2821 597 vs 1275 — Sichuan 90+ — — Candidate Region/Gene 24924924
    rs189037 ATM 1.45 0.12 128 vs 150 — Italian Mean age 98.7 +/- 5.1 — — Candidate Region/Gene 22960875
    rs2701893 FOXO1 0.98 0.772 1447 vs 1029 (German) 166 vs 216 (Italian) German Mean age 98.8 — — Candidate Region/Gene 21388494
    rs17446593 FOXO1 0.93 0.338 1447 vs 1029 (German) 166 vs 216 (Italian) German — — — 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
    rs12865518 FOXO1 1.07 0.307 1447 vs 1029 (German) 166 vs 216 (Italian) German — — — Candidate Region/Gene 21388494
    rs2721069 FOXO1 0.93 0.251 1447 vs 1029 (German) 166 vs 216 (Italian) German Mean age 98.8 — — Candidate Region/Gene 21388494
    rs2755213 FOXO1 0.95 0.626 1447 vs 1029 (German) 166 vs 216 (Italian) German Mean age 98.8 — — Candidate Region/Gene 21388494
    • Page 1 of 9
    • 25 of 209 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