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


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    polymorphism factor odds ratio pvalue initial number replication number Population age of cases shorter lived allele longer lived allele study type reference
    rs970048 Intergenic 1.77 7.17e-07 3746 vs 5912 — Dutch Mean age 94 — G Genome-Wide Association Study 21418511
    rs12740413 ARHGEF19 — 1.3e-05 1364 — American, British Age range 50-108; mean age at death 80.2 T C Genome-Wide Association Study 22445811
    rs12562047 UCK2 — 2.7e-05 1364 — American, British Age range 50-108; mean age at death 80.2 A C Genome-Wide Association Study 22445811
    rs12050077 TSHR 1.68 0.0001 232 vs 163 — Ashkenazi Jewish Median age 97 G A Candidate Region/Gene 19837933
    rs1800896 IL10 3.10 0.0003 142 vs 153 — Mean age 67 AA GG Candidate Region/Gene 15466015
    rs1764391 GJA4 — 0.0035 56 vs 196 (males) — Italian >99 — CC Candidate Region/Gene 16970956
    rs1061170 CFH 1.78 0.005 491 vs 0 — Finn — His — — 19000922
    rs1061170 CFH 1.78 0.005 491 with follow-up during 4 years — Finn >90 — TT Candidate Region/Gene 19000922
    rs3211994 NTLH1 1.99 0.0056 1089 vs 736 1613 vs 1104 Danish 92-93 years old G A Candidate Region/Gene 22406557
    rs1800896 IL10 — 0.019 174 vs 227 — Italian >100 — GG Candidate Region/Gene 12676903
    rs1801133 MTHFR — 0.029 (150 m, 74 f) vs (121 m, 320 f) — Ashkenazi Jewish Mean age 75 — C Candidate Region/Gene 15621215
    rs28969505 YTHDF2 — 0.047 136 vs 275 — Italian Mean age 101 — 15-15 (205 bp) Candidate Region/Gene 16799135
    • 12 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

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