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 (39)   No Age Effect (43)  
  • Study type: + -
    ‑ (1)   Candidate Region/Gene (53)   Meta‑Analysis (1)   Complete Mitochondrial Genome (1)   Mitochondrial Haplogroup (31)  
  • Variant type: + -
    Haplotype « 
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    Populations | Study Types | Variant Types


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    polymorphism factor odds ratio pvalue initial number replication number Population age of cases shorter lived allele longer lived allele study type reference
    rs3176343-rs3176344-rs3176349-rs1801270 CDKN1A — 0.03972 184 vs 184 — Italian 100 A-G-G-A non A-G-G-A haplotypes Candidate Region/Gene 20126416
    rs3176343-rs3176344-rs3176349-rs1801270 CDKN1A — 0.9852 184 vs 184 — Italian 100 — — Candidate Region/Gene 20126416
    rs3176343-rs3176344-rs3176349-rs1801270 CDKN1A — 0.1761 184 vs 184 — Italian 100 — — Candidate Region/Gene 20126416
    rs3176343-rs3176344-rs3176349-rs1801270 CDKN1A — 0.1282 184 vs 184 — Italian 100 — — Candidate Region/Gene 20126416
    rs3176343-rs3176344-rs3176349-rs1801270 CDKN1A — 0.00394 184 vs 184 — Italian 100 non G-G-G-C haplotypes G-G-G-C Candidate Region/Gene 20126416
    rs3176343-rs3176344-rs3176349-rs1801270-rs1059234-rs876581 CDKN1A — 0.02249 184 vs 184 — Italian 100 A-G-G-A-T-A non A-G-G-A-T-A haplotypes Candidate Region/Gene 20126416
    rs3176343-rs3176344-rs3176349-rs1801270-rs1059234-rs876581 CDKN1A — 0.8 184 vs 184 — Italian 100 — — Candidate Region/Gene 20126416
    rs3176343-rs3176344-rs3176349-rs1801270-rs1059234-rs876581 CDKN1A — 0.1856 184 vs 184 — Italian 100 — — Candidate Region/Gene 20126416
    rs3176343-rs3176344-rs3176349-rs1801270-rs1059234-rs876581 CDKN1A — 0.139 184 vs 184 — Italian 100 — — Candidate Region/Gene 20126416
    rs3176343-rs3176344-rs3176349-rs1801270-rs1059234-rs876581 CDKN1A — 0.00211 184 vs 184 — Italian 100 non G-G-G-C-C-G haplotypes G-G-G-C-C-G Candidate Region/Gene 20126416
    APOE polymorphism APOE 3.26 0.001 64 vs 1344 — Italian 100+ e4 e2 Candidate Region/Gene 16960022
    REN polymorphism - mtDNA mtDNA 3.27 0.006 157 — Italian 100+ — REN10 - mtDNA haplogroup H Candidate Region/Gene 11938442
    e4 APOE 0.55 0.03 163 vs 1039 — Spanish 100+ e4 — Candidate Region/Gene 24534555
    e4 APOE 0.41 0.05 79 vs 597 — Italian 100+ e4 — Candidate Region/Gene 24534555
    e4 APOE 0.35 0.001 729 vs 498 — Japanese 100+ e4 — Candidate Region/Gene 24534555
    APOE haplotype - rs1346044 APOE — 0.0001 175 vs 178 — Finn 100.8 e4 e2 Candidate Region/Gene 10069711
    rs1800796-(−373(A)n(T)m)-rs1800795 IL6 — 0.07 1710 total — Danish 47-100 G-(−373(A)8(T)12)-C non G-(−373(A)8(T)12)-C haplotypes Candidate Region/Gene 15130757
    APOE polymorphism APOE — 0.437 1408 cases — Brazilian 69.3 +/- 7.2 — — Candidate Region/Gene 17934638
    LPA isoform LPA — 0.05 84 (cases) vs 517 — Japanese 80+ Lp(a)F, Lp(a)B — Candidate Region/Gene 11269751
    e4 APOE — 0.04 376 vs 376 — Canadian 85+ e4 — Candidate Region/Gene 24126160
    rs699947-(−1190G/A)-rs1570360-(−634G/C) VEGFA — 0.03 — 332 vs 648 Italian 85-99 (mean 89.8±2.8) non A-A-G-G haplotypes A-A-G-G Candidate Region/Gene 17574707
    apoE haplotypes APOE — 0.013 35 old vs 71 young vs 54 MI patients — Chinese 90 apoE4 ApT4 Candidate Region/Gene 11780357
    apoE haplotypes APOE — 0.013 35 old vs 71 young vs 54 MI patients — Chinese 90 apoE4 — Candidate Region/Gene 11780357
    apoE haplotypes APOE — 0.013 35 old vs 71 young vs 54 MI patients — Chinese 90+ apoE4 — Candidate Region/Gene 11780357
    rs2234693 - rs2234693 ESR1 — 0.12 108 vs 85 — Italian 90+ — — Candidate Region/Gene 20819792
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    • 25 of 87 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

    Suggest a new study Report a database issue