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
    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
    rs2297627 FOXO1A — 0.495 122 vs 122 — Japanese mean age 106.8 — — Candidate Region/Gene 15582274
    rs3736265 PPARGC1A — 0.509 122 vs 122 — Japanese mean age 106.8 — — Candidate Region/Gene 15582274
    rs2297626 FOXO1A — 0.512 122 vs 122 — Japanese mean age 106.8 — — Candidate Region/Gene 15582274
    rs1801123 IRS1 — 0.774 122 vs 122 — Japanese mean age 106.8 — — Candidate Region/Gene 15582274
    rs361072 PIK3CB — 0.829 122 vs 122 — Japanese mean age 106.8 — — Candidate Region/Gene 15582274
    rs266729 ADIPQO — 0.635 110 vs 120 — Jordanian mean age 90.2 years G C Candidate Region/Gene 20201642
    rs2241766 ADIPQO — 0.164 110 vs 120 — Jordanian mean age 90.2 years G T Candidate Region/Gene 20201642
    rs1800629 TNFa — 0.168 See Description for details — Italian Comparison 1: 66-91. Comparison 2: >88 — — Candidate Region/Gene 21865054
    rs361525 TNFa — 0.156 See Description for details — Italian Comparison 1: 66-91. Comparison 2: >88 — — Candidate Region/Gene 21865054
    rs12696304 TERC — 0.248 1013 total — Danish — — — Candidate Region/Gene 22136229
    rs740746 ADRB1 — 0.556 384 vs 384 579 vs 644 Chinese Mean age 102.1±0.20 — — Candidate Region/Gene 23020224
    rs2053044 ADRB2 — 0.138 384 vs 384 579 vs 644 Chinese Mean age 102.1±0.20 — — Candidate Region/Gene 23020224
    rs1042713 ADRB2 — 0.149 384 vs 384 579 vs 644 Chinese Mean age 102.1±0.20 — — Candidate Region/Gene 23020224
    rs2877709 ADCY5 — 0.767 384 vs 384 579 vs 644 Chinese Mean age 102.1±0.20 — — Candidate Region/Gene 23020224
    rs1042714 ADRB2 — 0.558 384 vs 384 579 vs 644 Chinese Mean age 102.1±0.20 — — Candidate Region/Gene 23020224
    rs9861425 ADCY5 — 0.251 384 vs 384 579 vs 644 Chinese Mean age 102.1±0.20 — — Candidate Region/Gene 23020224
    rs9844212 ADCY5 — 0.901 384 vs 384 579 vs 644 Chinese Mean age 102.1±0.20 — — Candidate Region/Gene 23020224
    rs4677882 ADCY5 — 0.999 384 vs 384 579 vs 644 Chinese Mean age 102.1±0.20 — — Candidate Region/Gene 23020224
    rs4482616 ADCY5 — 0.398 384 vs 384 579 vs 644 Chinese Mean age 102.1±0.20 — — Candidate Region/Gene 23020224
    rs5749998 MAPK1 — 0.152 384 vs 384 579 vs 644 Chinese Mean age 102.1±0.20 — — Candidate Region/Gene 23020224
    rs1892848 MAPK1 — 0.218 384 vs 384 579 vs 644 Chinese Mean age 102.1±0.20 — — Candidate Region/Gene 23020224
    rs5999521 MAPK1 — 0.218 384 vs 384 579 vs 644 Chinese Mean age 102.1±0.20 — — Candidate Region/Gene 23020224
    rs1799782 XRCC1 — 0.658 430 vs 290 — British Mean age 70 — — Candidate Region/Gene 16518718
    rs25487 XRCC1 — 0.51 430 vs 290 — British Mean age 70 — — Candidate Region/Gene 16518718
    rs861539 XRCC3 — 0.97 430 vs 290 — British Mean age 70 — — Candidate Region/Gene 16518718

    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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