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 (243)   No Age Effect (314)  
  • Study type: + -
    GWAS (2)   ‑ (1)   Candidate Region/Gene (375)   Meta‑Analysis (37)   Complete Mitochondrial Genome (1)   Genome‑Wide Association Study (147)   Mitochondrial Haplogroup (1)   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
    rs17811551 ADAMTS6 — 3.74e-06 1364 — American, British Age range 50-108; mean age at death 80.2 T C Genome-Wide Association Study 22445811
    rs888808 RHOBTB3 0.67 4.19e-05 410 vs 553 — Italian 90–109 — — Genome-Wide Association Study 21612516
    rs10491334 CAMK4 0.55 5.29e-05 410 vs 553 116 vs 160 Italian 90–109 — — Genome-Wide Association Study 21612516
    rs3772190 TERC — 0.006 1013 total — Danish — A G Candidate Region/Gene 22136229
    rs1042718 ADRB2 1.27 0.014 384 vs 384 579 vs 644 Chinese Mean age 102.1±0.20 C A Candidate Region/Gene 23020224
    rs2053044 ADRB2 — 0.138 384 vs 384 579 vs 644 Chinese Mean age 102.1±0.20 — — Candidate Region/Gene 23020224
    rs1042713 ADRB2 — 0.149 384 vs 384 579 vs 644 Chinese Mean age 102.1±0.20 — — Candidate Region/Gene 23020224
    rs12696304 TERC — 0.248 1013 total — Danish — — — Candidate Region/Gene 22136229
    rs28360135 XRCC4 — 0.29 430 vs 290 — British Mean age 70 — — Candidate Region/Gene 16518718
    rs1042714 ADRB2 — 0.558 384 vs 384 579 vs 644 Chinese Mean age 102.1±0.20 — — Candidate Region/Gene 23020224
    rs1042719 ADRB2 1.29 1.29 384 vs 384 579 vs 644 Chinese Mean age 102.1±0.20 G C Candidate Region/Gene 23020224
    • 11 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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