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: + -
    Candidate Region/Gene (209)   Meta‑Analysis (7)   Genome‑Wide Association Study (97)   Mitochondrial Haplogroup (1)  
  • Variant type: + -
    SNP « 
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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
    rs1800591 MTTP — 0.032 525 vs 251 — Dutch Mean age 93.8±3.1 — — Candidate Region/Gene 16611701
    rs1800591 MTTP — 0.64 655 vs 244 — Dutch Mean age 87.5±3.1 — — Meta-Analysis 16611701
    rs61733139 MTTP — 0.32 525 vs 251 — Dutch Mean age 93.8±3.1 — — Candidate Region/Gene 16611701
    rs61733139 MTTP — 0.57 379 vs 251 — Dutch Mean age 93.8 ± 3.1 — — Candidate Region/Gene 16611701
    rs1800591 MTTP — 0.6 379 vs 251 — Dutch Mean age 93.8 ± 3.1 — — Candidate Region/Gene 16611701
    rs61733139 MTTP — 0.43 655 vs 244 — Dutch Mean age 87.5±3.1 — — Meta-Analysis 16611701
    rs2866164 MTTP 1.18 0.34 666 vs 540 1033 vs 359 German <100 G C Candidate Region/Gene 15911777
    rs2866164 MTTP 1.21 0.28 373 vs 540 1033 vs 359 German Centenarians G C Candidate Region/Gene 15911777
    rs2338013 — 0.67 2.07e-06 763 vs 1085 754 vs 850 German Mean age 99.7 — — Genome-Wide Association Study 21740922
    rs29228 — 0.68 9.12e-06 763 vs 1085 754 vs 850 German Mean age 99.7 — — Genome-Wide Association Study 21740922
    rs3129063 — 0.67 4.33e-06 763 vs 1085 754 vs 850 German Mean age 99.7 — — Genome-Wide Association Study 21740922
    rs3129046 — 0.66 2.21e-07 763 vs 1085 754 vs 850 German Mean age 99.7 — — Genome-Wide Association Study 21740922
    rs1610742 — 0.66 3.02e-07 763 vs 1085 754 vs 850 German Mean age 99.7 — — Genome-Wide Association Study 21740922
    rs1610601 — 0.68 1.98e-06 763 vs 1085 754 vs 850 German Mean age 99.7 — — Genome-Wide Association Study 21740922
    rs1633063 — 0.68 3.82e-06 763 vs 1085 754 vs 850 German Mean age 99.7 — — Genome-Wide Association Study 21740922
    rs11790055 — 1.38 1.49e-05 763 vs 1085 754 vs 850 German Mean age 99.7 — — Genome-Wide Association Study 21740922
    rs10959258 — 1.36 1.86e-05 763 vs 1085 754 vs 850 German Mean age 99.7 — — Genome-Wide Association Study 21740922
    rs9595687 — 0.49 2.09e-05 763 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
    rs16947526 — 0.56 1.23e-05 763 vs 1085 754 vs 850 German Mean age 99.7 — — Genome-Wide Association Study 21740922
    rs158869 — 1.37 4.98e-06 763 vs 1085 754 vs 850 German Mean age 99.7 — — Genome-Wide Association Study 21740922
    rs350450 — 0.69 6.34e-06 763 vs 1085 754 vs 850 German Mean age 99.7 — — Genome-Wide Association Study 21740922
    rs3745548 INSR — 0.057 122 vs 122 — Japanese mean age 106.8 — — Candidate Region/Gene 15582274
    rs2252673 INSR — 0.083 122 vs 122 — Japanese mean age 106.8 — — Candidate Region/Gene 15582274
    rs3779501 PIK3CG — 0.139 122 vs 122 — Japanese mean age 106.8 — — Candidate Region/Gene 15582274
    • Page 1 of 13
    • 25 of 314 variants

    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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