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
    logo.png
    variants.jpg
    polymorphism factor odds ratio pvalue initial number replication number Population age of cases shorter lived allele longer lived allele study type reference
    rs419010 PVRL2 1.13 0.091 597 vs 1275 — Sichuan 90+ — — Candidate Region/Gene 24924924
    rs519825 PVRL2 1.28 0.01577 597 vs 1275 418 vs 450 Sichuan 90+ — — Candidate Region/Gene 24924924
    rs12978931 PVRL2 1.15 0.0445 597 vs 1275 418 vs 450 Sichuan 90+ — — Candidate Region/Gene 24924924
    rs7460 PTK2 — 1.0 742 vs 499 — Japanese 100-116 — — Candidate Region/Gene 24930376
    rs7843014 PTK2 — 1.0 742 vs 499 — Japanese 100-116 — — Candidate Region/Gene 24930376
    rs7460 PTK2 — 1.0 79 vs 316 — Italian 100-104 — — Candidate Region/Gene 24930376
    rs7843014 PTK2 — 1.0 79 vs 316 — Italian 100-104 — — Candidate Region/Gene 24930376
    rs7460 PTK2 0.40 0.001 175 vs 355 — Spanish 100-111 A T Candidate Region/Gene 24930376
    rs2070325 LPLUNC4 2.42 5.98e-05 410 vs 553 — Italian 90–109 — — Genome-Wide Association Study 21612516
    rs6504441 PRKCA 0.60 2.87e-06 410 vs 553 — Italian 90–109 — — Genome-Wide Association Study 21612516
    rs2277472 MAMDC1 1.95 7.93e-05 410 vs 553 — Italian 90–109 — — Genome-Wide Association Study 21612516
    rs4594173 MADMC1 1.94 9.81e-05 410 vs 553 — Italian 90–109 — — Genome-Wide Association Study 21612516
    rs285097 RNF113B 0.47 7.76e-05 410 vs 553 — Italian 90–109 — — Genome-Wide Association Study 21612516
    rs9315385 DCAMKL1 1.74 8.13e-05 410 vs 553 — Italian 90–109 — — Genome-Wide Association Study 21612516
    rs2111173 PTPRO 1.74 9.24e-05 410 vs 553 — Italian 90–109 — — Genome-Wide Association Study 21612516
    rs2073586 ABCC8 0.48 8.15e-05 410 vs 553 — Italian 90–109 — — Genome-Wide Association Study 21612516
    rs7915479 CDH23 1.92 2.81e-05 410 vs 553 — Italian 90–109 — — Genome-Wide Association Study 21612516
    rs12413082 MSRB2 0.53 3.33e-06 410 vs 553 — Italian 90–109 — — Genome-Wide Association Study 21612516
    rs7873259 ANKRD19 3.14 1.18e-05 410 vs 553 — Italian 90–109 — — Genome-Wide Association Study 21612516
    rs10956502 FAM49B 0.57 4.21e-05 410 vs 553 — Italian 90–109 — — Genome-Wide Association Study 21612516
    rs697739 ATXN1 0.59 8.97e-05 410 vs 553 — Italian 90–109 — — Genome-Wide Association Study 21612516
    rs888808 RHOBTB3 0.67 4.19e-05 410 vs 553 — Italian 90–109 — — Genome-Wide Association Study 21612516
    rs795602 MGST2 0.67 4.52e-05 410 vs 553 — Italian 90–109 — — Genome-Wide Association Study 21612516
    rs571391 IMPG2 0.55 2.67e-05 410 vs 553 — Italian 90–109 — — Genome-Wide Association Study 21612516
    rs513154 IMPG2 0.52 4.65e-06 410 vs 553 — Italian 90–109 — — Genome-Wide Association Study 21612516

    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