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
    rs2432143 ITGA1 1.37 0.000253461 801 vs 914 — Caucasian Median age 104 A G Genome-Wide Association Study 22279548
    rs2963154 NR3C1 1.10 0.0010712 801 vs 914 — Caucasian Median age 104 A G Genome-Wide Association Study 22279548
    rs1860242 CTNND2 1.09 0.000108341 801 vs 914 — Caucasian Median age 104 A G Genome-Wide Association Study 22279548
    rs2043270 FLJ31951 1.29 0.00761736 801 vs 914 — Caucasian Median age 104 A G Genome-Wide Association Study 22279548
    rs11954180 SLC6A7 1.57 0.000517104 801 vs 914 — Caucasian Median age 104 A G Genome-Wide Association Study 22279548
    rs10055012 SEMA6A 1.20 0.001722103 801 vs 914 — Caucasian Median age 104 C A Genome-Wide Association Study 22279548
    rs262883 DOCK2 1.17 0.001201492 801 vs 914 — Caucasian Median age 104 G A Genome-Wide Association Study 22279548
    rs249904 PPP2R2B 1.29 0.000376552 801 vs 914 — Caucasian Median age 104 A G Genome-Wide Association Study 22279548
    rs793017 ERGIC1 1.38 0.000595001 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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