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 type: + -

  • 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
    rs4859571 NAAA 1.56e-05 1364 American, British Age range 50-108; mean age at death 80.2 G A Genome-Wide Association Study 22445811
    rs7803143 PSCD3 1.57e-05 1364 American, British Age range 50-108; mean age at death 80.2 C T Genome-Wide Association Study 22445811
    rs7622678 BDH1 1.93e-05 1364 American, British Age range 50-108; mean age at death 80.2 C T Genome-Wide Association Study 22445811
    rs4720752 RPA3 1.93e-05 1364 American, British Age range 50-108; mean age at death 80.2 A G Genome-Wide Association Study 22445811
    rs6962026 PSCD3 2.07e-05 1364 American, British Age range 50-108; mean age at death 80.2 T C Genome-Wide Association Study 22445811
    rs10901296 ABL1 2.37e-05 1364 American, British Age range 50-108; mean age at death 80.2 C T Genome-Wide Association Study 22445811
    rs680109 GRIA4 2.52e-05 1364 American, British Age range 50-108; mean age at death 80.2 C A Genome-Wide Association Study 22445811
    rs1537438 2.53e-05 1364 American, British Age range 50-108; mean age at death 80.2 G T Genome-Wide Association Study 22445811
    rs11206814 2.67e-05 1364 American, British Age range 50-108; mean age at death 80.2 T C Genome-Wide Association Study 22445811
    rs12562047 UCK2 2.7e-05 1364 American, British Age range 50-108; mean age at death 80.2 A C Genome-Wide Association Study 22445811
    rs3803833 0.77 2.72e-05 2202 vs 2164 Caucasian 100 Meta-Analysis 24244950
    rs2710548 FAT4 2.79e-05 1364 American, British Age range 50-108; mean age at death 80.2 G A Genome-Wide Association Study 22445811
    rs1016013 1.21 2.87e-05 2202 vs 2164 Caucasian 100 Meta-Analysis 24244950
    rs6454676 2.9e-05 1364 American, British Age range 50-108; mean age at death 80.2 C T Genome-Wide Association Study 22445811
    rs17047650 FAM19A1 3.19e-05 1364 American, British Age range 50-108; mean age at death 80.2 C T Genome-Wide Association Study 22445811
    rs10433502 FAM19A1 3.49e-05 1364 American, British Age range 50-108; mean age at death 80.2 C T Genome-Wide Association Study 22445811
    rs10485170 3.67e-05 1364 American, British Age range 50-108; mean age at death 80.2 T C Genome-Wide Association Study 22445811
    rs12257410 FRMD4A 3.77e-05 1364 American, British Age range 50-108; mean age at death 80.2 A C Genome-Wide Association Study 22445811
    rs3125524 3.83e-05 1364 American, British Age range 50-108; mean age at death 80.2 C T Genome-Wide Association Study 22445811
    rs4280854 3.85e-05 1364 American, British Age range 50-108; mean age at death 80.2 A G Genome-Wide Association Study 22445811
    rs1037381 3.99e-05 1364 American, British Age range 50-108; mean age at death 80.2 G A Genome-Wide Association Study 22445811
    rs6532496 PDLIM5 4e-05 1364 American, British Age range 50-108; mean age at death 80.2 G A Genome-Wide Association Study 22445811
    rs17618813 ANK2 4.16e-05 1364 American, British Age range 50-108; mean age at death 80.2 G A Genome-Wide Association Study 22445811
    rs7103504 CNTN5 4.39e-05 1364 American, British Age range 50-108; mean age at death 80.2 A G Genome-Wide Association Study 22445811
    rs10085518 PSCD3 4.59e-05 1364 American, British Age range 50-108; mean age at death 80.2 T C Genome-Wide Association Study 22445811

    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