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 (1027)   No Age Effect (543)  
  • Study type: + -
    GWAS (2)   ‑ (27)   Candidate Region/Gene (784)   Meta‑Analysis (38)   Complete Mitochondrial Genome (2)   Whole‑Genome Linkage Scan (1)   Genome‑Wide Association Study (710)   Mitochondrial Haplogroup (36)   Mitochondrial genome (3)  
  • Variant type: + -
    SNP (572)   Locus (5)   Haplotype (87)   Other (1)   STR (11)   Deletion (5)   CNV (1)    (1)   VNTR (1)  
    • 1 2 3 4 5 6 7 8 9 10 11 12
    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
    rs2370413 CACNA1C — 0.0011 1173 vs 570 — American 85-100 — T Genome-Wide Association Study 22533364
    rs2430561 IFNG — 0.02 174 vs 248 — Italian >99 T (females) — Candidate Region/Gene 11772518
    rs35767 IGF1 — 1.0 485 vs 392 — Chinese 94.92 — — Candidate Region/Gene 18761080
    rs3782415 SOCS2 1.38 0.000284992 801 vs 914 — Caucasian Median age 104 G A Genome-Wide Association Study 22279548
    rs4237973 PIK3C2G 1.51 0.022 137 vs 213 — Korean Mean age 90 — C Genome-Wide Association Study 19641380
    rs5742612 IGF1 — 1.0 485 vs 392 — Chinese 94.92 — — Candidate Region/Gene 18761080
    rs671 ALDH2 (for males) 2.11 0.009 137 vs 213 — Korean Mean age 90 — A Genome-Wide Association Study 19641380
    rs770087 DUSP6 1.53 0.002 386 vs 410 541 vs 469 German 100 to 110, mean age = 101.3 C — Candidate Region/Gene 20800603
    rs7959761 SSPN 1.00 9.56e-05 801 vs 914 — Caucasian Median age 104 A G Genome-Wide Association Study 22279548

    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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