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: + -
    No Age Effect « 
  • Study type: + -
    ‑ (19)   Candidate Region/Gene (382)   Meta‑Analysis (8)   Genome‑Wide Association Study (103)   Mitochondrial Haplogroup (27)  
  • Variant type: + -
    SNP (314)   Haplotype (43)   Other (1)   STR (7)   Deletion (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
    Export results (Download)

    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
    HRAS1 LASS1 (CCT) APOE — 4.1e-05 147 vs 188 — Georgian — — — Candidate Region/Gene 20569235
    rs6701445 TAF5L 1.84 4.19e-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
    rs10493517 — — 4.2e-05 1345 cohort + 1087 offspring — American — — — Genome-Wide Association Study 17903295
    rs10956502 FAM49B 0.57 4.21e-05 410 vs 553 — Italian 90–109 — — Genome-Wide Association Study 21612516
    rs4291539 — 1.81 4.41e-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
    rs4777170 — 2.00 4.52e-05 410 vs 553 — Italian 90–109 — — Genome-Wide Association Study 21612516
    rs10513702 — 1.85 4.53e-05 410 vs 553 — Italian 90–109 — — Genome-Wide Association Study 21612516
    rs2967137 — 1.83 4.64e-05 410 vs 553 — Italian 90–109 — — Genome-Wide Association Study 21612516
    rs1538287 KCNH1 0.55 4.87e-05 410 vs 553 — Italian 90–109 — — Genome-Wide Association Study 21612516
    rs964403 SUMF1 2.07 4.91e-05 410 vs 553 — Italian 90–109 — — Genome-Wide Association Study 21612516
    rs1562688 — 0.50 4.93e-05 410 vs 553 — Italian 90–109 — — Genome-Wide Association Study 21612516
    rs4282145 — 0.38 5.32e-05 410 vs 553 — Italian 90–109 — — Genome-Wide Association Study 21612516
    rs3864051 SUMF1 2.07 5.49e-05 410 vs 553 — Italian 90–109 — — Genome-Wide Association Study 21612516
    rs6657082 — — 5.5e-05 1345 cohort + 1087 offspring — American — — — Genome-Wide Association Study 17903295
    rs1428689 — 1.85 5.51e-05 410 vs 553 — Italian 90–109 — — Genome-Wide Association Study 21612516
    rs10134056 — 0.46 5.61e-05 410 vs 553 — Italian 90–109 — — Genome-Wide Association Study 21612516
    rs2070325 LPLUNC4 2.42 5.98e-05 410 vs 553 — Italian 90–109 — — Genome-Wide Association Study 21612516
    rs2670104 — 0.67 6.21e-05 410 vs 553 — Italian 90–109 — — Genome-Wide Association Study 21612516
    rs2905476 — 0.29 6.35e-05 410 vs 553 — Italian 90–109 — — Genome-Wide Association Study 21612516
    rs3757354 MYLIP — 6.4e-05 1345 cohort + 1087 offspring — American — — — Genome-Wide Association Study 17903295
    rs7583529 CFLAR 3.15 6.45e-05 410 vs 553 — Italian 90–109 — — Genome-Wide Association Study 21612516
    rs11738302 — 0.57 6.89e-05 410 vs 553 — Italian 90–109 — — Genome-Wide Association Study 21612516
    rs7842001 — 0.32 7.12e-05 410 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