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
    rs3829963 CDKN1A 0.99 0.969 184 vs 184 — Italian 100 — — Candidate Region/Gene 20126416
    rs8192287 SOD3 — 0.955 1612 vs 1104 — German 90+ — — Candidate Region/Gene 24163049
    rs9470367 CDKN1A 1.01 0.949 184 vs 184 — Italian 100 — — Candidate Region/Gene 20126416
    rs5189 AGTR1 0.75 0.945 173 vs 376 — Italian 99-106 (mean 100.9±1.7) — — Candidate Region/Gene 22569962
    rs2536512 SOD3 — 0.942 1612 vs 1104 — German 90+ — — Candidate Region/Gene 24163049
    rs6457931 CDKN1A 1.01 0.936 184 vs 184 — Italian 100 — — Candidate Region/Gene 20126416
    rs4151702 CDKN1A 1.02 0.93 184 vs 184 — Italian 100 — — Candidate Region/Gene 20126416
    rs12721225 AGTR1 0.37 0.929 173 vs 376 — Italian 99-106 (mean 100.9±1.7) — — Candidate Region/Gene 22569962
    rs10119 TOMM40 0.94 0.914 597 vs 1275 — Sichuan 90+ — — Candidate Region/Gene 24924924
    rs9844212 ADCY5 — 0.901 384 vs 384 579 vs 644 Chinese Mean age 102.1±0.20 — — Candidate Region/Gene 23020224
    rs2249466 CBL — 0.9 207 vs 394 — Japanese 95+ — — Candidate Region/Gene 23770741
    rs5186 AGTR1 1.15 0.875 173 vs 376 — Italian 99-106 (mean 100.9±1.7) — — Candidate Region/Gene 22569962
    rs733590 CDKN1A 0.97 0.875 184 vs 184 — Italian 100 — — Candidate Region/Gene 20126416
    rs1571631 FOXO3 0.99 0.872 388 vs 371 535 vs 553 German mean age 98.4 years — — Candidate Region/Gene 19196970
    rs1048310 — — 0.87 208 vs 399 — Japanese 95+ — — Candidate Region/Gene 23770741
    rs6690527 FOXO6 1.01 0.867 1447 vs 1029 (German) 166 vs 216 (Italian) German Mean age 98.8 — — Candidate Region/Gene 21388494
    rs730506 CDKN1A 0.96 0.852 184 vs 184 — Italian 100 — — Candidate Region/Gene 20126416
    rs7855 SOD2 — 0.842 1612 vs 1104 — German 90+ — — Candidate Region/Gene 24163049
    rs361072 PIK3CB — 0.829 122 vs 122 — Japanese mean age 106.8 — — Candidate Region/Gene 15582274
    rs1317557 FOXO6 1.04 0.824 1447 vs 1029 (German) 166 vs 216 (Italian) German Mean age 98.8 — — Candidate Region/Gene 21388494
    rs6693260 FOXO6 0.98 0.824 1447 vs 1029 (German) 166 vs 216 (Italian) German Mean age 98.8 — — Candidate Region/Gene 21388494
    rs10277237 — — 0.805 321 vs 442 — Italian 89-107 — — Candidate Region/Gene 23572278
    rs11217184 CBL — 0.8 212 vs 396 — Japanese 95+ — — Candidate Region/Gene 23770741
    rs4714003 CDKN1A 0.92 0.789 184 vs 184 — Italian 100 — — Candidate Region/Gene 20126416
    rs2498796 AKT1 0.99 0.788 2996 vs 1840 — Danish, German 92-110 — — Candidate Region/Gene 22929028

    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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