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.):

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    Candidate Region/Gene (209)   Meta‑Analysis (7)   Genome‑Wide Association Study (97)   Mitochondrial Haplogroup (1)  
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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
    rs3757354 MYLIP — 6.4e-05 1345 cohort + 1087 offspring — American — — — Genome-Wide Association Study 17903295
    rs697739 ATXN1 0.59 8.97e-05 410 vs 553 — Italian 90–109 — — Genome-Wide Association Study 21612516
    rs6459623 IBRDC2 — 0.00015 1345 cohort + 1087 offspring — American — — — Genome-Wide Association Study 17903295
    rs361525 TNFa — 0.156 See Description for details — Italian Comparison 1: 66-91. Comparison 2: >88 — — Candidate Region/Gene 21865054
    rs1800629 TNFa — 0.168 See Description for details — Italian Comparison 1: 66-91. Comparison 2: >88 — — Candidate Region/Gene 21865054
    rs2227956 HSPA1L — 0.328 168 cases — Danish Mean age 92.8 +/- 0.4 — — Candidate Region/Gene 20388090
    rs1485780 CD2AP — 0.604 1364 — American, British Age range 50-108; mean age at death 80.2 C A Candidate Region/Gene 22445811
    rs1800629 TNF — 0.76 250 vs 400 — Finn >90 — — Candidate Region/Gene 11640949
    rs6457931 CDKN1A 1.01 0.936 184 vs 184 — Italian 100 — — Candidate Region/Gene 20126416
    rs2802292 FOXO3A — 1.0 403 vs 1670 4149 vs 7582 Dutch mean 94 — — Genome-Wide Association Study 21418511
    rs1800629 TNF — 1.0 174 vs 224 — Italian >100 — — Candidate Region/Gene 12676903
    rs9340799 ESR1 — 1.0 148 vs 414 — Polish mean age 101.1 — — Candidate Region/Gene 20599431
    • 12 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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