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 (243)   No Age Effect (314)  
  • Study type: + -
    GWAS (2)   ‑ (1)   Candidate Region/Gene (375)   Meta‑Analysis (37)   Complete Mitochondrial Genome (1)   Genome‑Wide Association Study (147)   Mitochondrial Haplogroup (1)   Mitochondrial genome (3)  
  • Variant type: + -
    SNP « 
    • 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
    rs513154 IMPG2 0.52 4.65e-06 410 vs 553 — Italian 90–109 — — Genome-Wide Association Study 21612516
    rs1582594 — 1.87 4.76e-06 410 vs 553 — Italian 90–109 — — Genome-Wide Association Study 21612516
    rs1525501 — 0.72 4.94e-06 2202 vs 2164 — Caucasian 100 — — Meta-Analysis 24244950
    rs158869 — 1.37 4.98e-06 763 vs 1085 754 vs 850 German Mean age 99.7 — — Genome-Wide Association Study 21740922
    rs1857821 NAAA — 5.12e-06 1364 — American, British Age range 50-108; mean age at death 80.2 A G Genome-Wide Association Study 22445811
    rs7525717 — — 5.76e-06 1364 — American, British Age range 50-108; mean age at death 80.2 A G Genome-Wide Association Study 22445811
    rs4673651 ERBB4 — 6.08e-06 1364 — American, British Age range 50-108; mean age at death 80.2 G A Genome-Wide Association Study 22445811
    rs350450 — 0.69 6.34e-06 763 vs 1085 754 vs 850 German Mean age 99.7 — — Genome-Wide Association Study 21740922
    rs17049647 — — 7.12e-06 1364 — American, British Age range 50-108; mean age at death 80.2 G T Genome-Wide Association Study 22445811
    rs10923806 — 2.30 7.24e-06 410 vs 553 — Italian 90–109 — — Genome-Wide Association Study 21612516
    rs10518142 NAAA — 8.89e-06 1364 — American, British Age range 50-108; mean age at death 80.2 G T Genome-Wide Association Study 22445811
    rs2444861 C8orf47 — 8.99e-06 1364 — American, British Age range 50-108; mean age at death 80.2 A G Genome-Wide Association Study 22445811
    rs29228 — 0.68 9.12e-06 763 vs 1085 754 vs 850 German Mean age 99.7 — — Genome-Wide Association Study 21740922
    rs1575892 — 0.45 9.32e-06 763 vs 1085 754 vs 850 German Mean age 99.7 — — Genome-Wide Association Study 21740922
    rs1418425 — — 9.64e-06 1364 — American, British Age range 50-108; mean age at death 80.2 A G Genome-Wide Association Study 22445811
    rs2271528 SDAD1 — 1.02e-05 1364 — American, British Age range 50-108; mean age at death 80.2 C T Genome-Wide Association Study 22445811
    rs1555453 MOBKL2B — 1.07e-05 1364 — American, British Age range 50-108; mean age at death 80.2 A C Genome-Wide Association Study 22445811
    rs10514626 — 0.38 1.12e-05 410 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
    rs16947526 — 0.56 1.23e-05 763 vs 1085 754 vs 850 German Mean age 99.7 — — Genome-Wide Association Study 21740922
    rs13111494 ART3 — 1.28e-05 1364 — American, British Age range 50-108; mean age at death 80.2 A G Genome-Wide Association Study 22445811
    rs12740413 ARHGEF19 — 1.3e-05 1364 — American, British Age range 50-108; mean age at death 80.2 T C Genome-Wide Association Study 22445811
    rs10496799 NXPH2 — 1.4e-05 1345 cohort + 1087 offspring — American — — — Genome-Wide Association Study 17903295
    rs11790055 — 1.38 1.49e-05 763 vs 1085 754 vs 850 German Mean age 99.7 — — Genome-Wide Association Study 21740922
    rs3210458 ACPL2 — 1.52e-05 1364 — American, British Age range 50-108; mean age at death 80.2 C T 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