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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    Populations | Study Types | Variant Types


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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
    rs1042522 TP53 0.88 0.005 9219 participants (Copenhagen City Heart Study) — Danish Range: 20-95 G — Candidate Region/Gene 18256523
    rs5882 CETP — 0.05 300 vs 320 vs 258 — Ashkenazi Jewish Minimum age 95 AA, AG GG Candidate Region/Gene 15621216
    rs6457452 HSP70-A1B — 1.0 347 vs 238 — American, Ashkenazi Jewish Minimum age 100 — — Candidate Region/Gene 17027907
    rs1800795 IL-6 — 0.007 323 (cases) vs 377 (initial) — Italian median age = 101 G C Candidate Region/Gene 11500818
    rs10149689 TSHR 1.56 0.001 232 vs 163 — Ashkenazi Jewish Median age 97 A G Candidate Region/Gene 19837933
    rs12050077 TSHR 1.68 0.0001 232 vs 163 — Ashkenazi Jewish Median age 97 G A Candidate Region/Gene 19837933
    rs12050077 TSHR 1.32 0.01 366 vs 163 — Ashkenazi Jewish Median age 69 A G Candidate Region/Gene 19837933
    rs10149689 TSHR 1.22 0.08 366 vs 163 — Ashkenazi Jewish Median age 69 A G Candidate Region/Gene 19837933
    rs4952085 XDH 1.25 0.000933537 801 vs 914 — Caucasian Median age 104 A G Genome-Wide Association Study 22279548
    rs2338013 — 0.67 2.07e-06 763 vs 1085 754 vs 850 German Mean age 99.7 — — Genome-Wide Association Study 21740922
    rs350450 — 0.69 6.34e-06 763 vs 1085 754 vs 850 German Mean age 99.7 — — Genome-Wide Association Study 21740922
    rs29228 — 0.68 9.12e-06 763 vs 1085 754 vs 850 German Mean age 99.7 — — Genome-Wide Association Study 21740922
    rs3129063 — 0.67 4.33e-06 763 vs 1085 754 vs 850 German Mean age 99.7 — — Genome-Wide Association Study 21740922
    rs3129046 — 0.66 2.21e-07 763 vs 1085 754 vs 850 German Mean age 99.7 — — Genome-Wide Association Study 21740922
    rs1610742 — 0.66 3.02e-07 763 vs 1085 754 vs 850 German Mean age 99.7 — — Genome-Wide Association Study 21740922
    rs1610601 — 0.68 1.98e-06 763 vs 1085 754 vs 850 German Mean age 99.7 — — Genome-Wide Association Study 21740922
    rs1633063 — 0.68 3.82e-06 763 vs 1085 754 vs 850 German Mean age 99.7 — — Genome-Wide Association Study 21740922
    rs11790055 — 1.38 1.49e-05 763 vs 1085 754 vs 850 German Mean age 99.7 — — Genome-Wide Association Study 21740922
    rs10959258 — 1.36 1.86e-05 763 vs 1085 754 vs 850 German Mean age 99.7 — — Genome-Wide Association Study 21740922
    rs9595687 — 0.49 2.09e-05 763 vs 1085 754 vs 850 German Mean age 99.7 — — Genome-Wide Association Study 21740922
    rs1575892 — 0.45 9.32e-06 763 vs 1085 754 vs 850 German Mean age 99.7 — — Genome-Wide Association Study 21740922
    rs16947526 — 0.56 1.23e-05 763 vs 1085 754 vs 850 German Mean age 99.7 — — Genome-Wide Association Study 21740922
    rs158869 — 1.37 4.98e-06 763 vs 1085 754 vs 850 German Mean age 99.7 — — Genome-Wide Association Study 21740922
    rs2701893 FOXO1 0.98 0.772 1447 vs 1029 (German) 166 vs 216 (Italian) German Mean age 98.8 — — Candidate Region/Gene 21388494
    rs2721047 FOXO1A 0.98 0.177 1447 vs 1029 (initial) 166 vs 216 (Italian) (replication) German Mean age 98.8 — — Candidate Region/Gene 21388494
    • Page 1 of 23
    • 25 of 572 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