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: + -
    Candidate Region/Gene « 
  • Variant type: + -
    SNP (153)   Locus (2)   Haplotype (31)   STR (3)   Deletion (1)   CNV (1)    (1)   VNTR (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
    rs429358 + rs7412 APOE — 0.04 1236 vs 326 — Chinese 60+ e4 non-e4 Candidate Region/Gene 9792194
    APOE haplotype - rs1346044 APOE — 0.0001 175 vs 178 — Finn 100.8 e4 e2 Candidate Region/Gene 10069711
    APOE polymorphism APOE 0.38 0.002 200 (cases) vs 539 — Italian >88 e4 e2 Candidate Region/Gene 21703254
    APOE polymorphism APOE — 0.02 80 vs 391 — Greek >80 epsilon4 — Candidate Region/Gene 17234815
    HRAS1 LASS1 (CGT) APOE — 1.06e-09 68 vs 68 — American — — — Candidate Region/Gene 20569235
    epsilon2/3/4 APOE — 0.05 67 vs 125 — Italian 99+ (mean: 100±2) epsilon4 — Candidate Region/Gene 10643896
    E2 / E3 / E4 APOE — 1.2e-08 560 vs 560 — French centenarians 100th year or beyond, mean age 103.1 E4 — Candidate Region/Gene 11280044
    E4 APOE — 0.013 35 vs 125 — Chinese 90 years or over — — Candidate Region/Gene 11780357
    rs429358, rs7412 APOE — 0.025 (150 m, 74 f) vs (121 m, 320 f) — Ashkenazi Jewish Mean age 75 e4 e2 Candidate Region/Gene 15621215
    rs429358, rs7412 APOE — 0.001 179 vs 615 — Finn Mean age 100 e4 e2, e3 Candidate Region/Gene 8018664
    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 — 0.0005 318 vs 350 376 vs 506 American, Caucasian Mean age 100,8 e4 e2 Candidate Region/Gene 18034366
    rs429358, rs7412 APOE — 0.0212 60 vs 89 — African European Range: 20-59 — — Candidate Region/Gene 20569235
    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
    e4 APOE 0.55 0.03 163 vs 1039 — Spanish 100+ e4 — Candidate Region/Gene 24534555
    e4 APOE 0.41 0.05 79 vs 597 — Italian 100+ e4 — Candidate Region/Gene 24534555
    e4 APOE 0.35 0.001 729 vs 498 — Japanese 100+ e4 — Candidate Region/Gene 24534555
    e4 APOE — 0.04 376 vs 376 — Canadian 85+ e4 — Candidate Region/Gene 24126160
    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
    rs282070 MAP3K7 — 0.0011 288 vs 554 — Calabrian 90+, median 92 G — Candidate Region/Gene 22576335
    rs2111699 GSTZ1 — 0.0014 288 vs 554 — Calabrian 90+, median 92 A — Candidate Region/Gene 22576335
    rs1042522 TP53 0.57 0.006 100 very old vs 280 old vs 189 young — Italian 91+ (very old), 73-91 (old) G C Candidate Region/Gene 23125046
    rs1042522 TP53 0.88 0.005 9219 participants (Copenhagen City Heart Study) — Danish Range: 20-95 G — Candidate Region/Gene 18256523

    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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