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 « 
  • Study type: + -
    GWAS (2)   ‑ (1)   Candidate Region/Gene (153)   Meta‑Analysis (30)   Genome‑Wide Association Study (50)   Mitochondrial genome (3)  
  • Variant type: + -
    SNP « 
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    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
    rs11218921 — 0.59 5.47e-05 2202 vs 2164 — Caucasian 100 — — Meta-Analysis 24244950
    rs1525501 — 0.81 8.97e-05 2715 vs 2725 — Multiethnic 100 — — Meta-Analysis 24244950
    rs1456669 — 0.82 0.000312 2715 vs 2725 — Multiethnic 100 — — Meta-Analysis 24244950
    rs4673 — 1.48 0.022 — — Russian — C T Candidate Region/Gene 23755540
    rs1879417 — — 0.018 321 vs 442 — Italian 89-107 — — Candidate Region/Gene 23572278
    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
    rs429358, rs7412 APOE 0.43 0.0006 114 vs 2071 — Irish >90 e4 e2 Candidate Region/Gene 11470126
    rs2075650 APOE 0.71 3.39e-17 403 vs 1670 4149 vs 7582 Dutch mean 94 e4 — Genome-Wide Association Study 21418511
    rs4420638 APOE — 9.6e-08 4445 total (each a part of sibship of 2-5 siblings) — Caucasian, European 90 — — Genome-Wide Association Study 23286790
    rs429358, rs7412 APOE 0.75 0.005 2307 vs 764 — American, Danish Mean age 60.2 e4 e2 Candidate Region/Gene 23040522
    rs429358, rs7412 APOE — 0.009 1477 total — Italian 18-109 e4 non-e4 - 16896546
    rs2075650 APOE — 0.000527 1364 — American, British Age range 50-108; mean age at death 80.2 C T Candidate Region/Gene 22445811
    rs405509 APOE 1.18 0.027 597 vs 1275 418 vs 450 Sichuan 90+ — — Candidate Region/Gene 24924924
    rs4420638 APOE 0.72 3.4e-36 7729 vs 16121 13060 vs 61156 European 90+ — — GWAS 24688116
    rs2075650 APOE 0.53 4.44e-16 2202 vs 2164 — Caucasian 100 — — Meta-Analysis 24244950
    rs189037 ATM 1.85 0.037 67 vs 61 — Italian Centenarians — — Candidate Region/Gene 22960875
    rs189037 (genotype) ATM — 0.004 875 (280 m, 595 f) vs 886 (491 m, 395 f) — Chinese Mean age 94,6, healthy — CT (Article); GA (ENSEMBL) Candidate Region/Gene 20816691
    rs1042522 TP53 0.88 0.005 9219 participants (Copenhagen City Heart Study) — Danish Range: 20-95 G — Candidate Region/Gene 18256523
    rs2274776 FOXO3 0.95 0.536 388 vs 371 535 vs 553 German mean age 98.4 years — — Candidate Region/Gene 19196970
    rs1571631 FOXO3 0.99 0.872 388 vs 371 535 vs 553 German mean age 98.4 years — — Candidate Region/Gene 19196970
    rs6911407 FOXO3 1.28 0.006 388 vs 371 535 vs 553 German mean age 98.4 years — — Candidate Region/Gene 19196970
    rs768023 FOXO3 1.27 0.007 388 vs 371 535 vs 553 German mean age 98.4 years — — Candidate Region/Gene 19196970
    rs2802288 FOXO3 1.28 0.006 388 vs 371 535 vs 553 German mean age 98.4 years — — Candidate Region/Gene 19196970
    rs2883881 FOXO3 0.77 0.1 388 vs 371 535 vs 553 German mean age 98.4 years — — Candidate Region/Gene 19196970
    rs12200646 FOXO3 1.28 0.064 388 vs 371 535 vs 553 German mean age 98.4 years — — Candidate Region/Gene 19196970

    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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