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 « 
  • Study type: + -
    ‑ (1)   Candidate Region/Gene (31)   Complete Mitochondrial Genome (1)   Mitochondrial Haplogroup (6)  
  • Variant type: + -
    Haplotype « 
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    Populations | Study Types | Variant Types


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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
    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
    e4 APOE — 0.04 376 vs 376 — Canadian 85+ e4 — Candidate Region/Gene 24126160
    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
    Haplogroup J — 0.38 0.025 98 vs 117 — Chinese 90–100 — — Candidate Region/Gene 18759861
    4491A,3705G,10400T mtDNA — 0.027 463 vs 1389 — Chinese >/=95 — — Mitochondrial Haplogroup 19641616
    5417A,10873T mtDNA — 0.018 463 vs 1389 — Chinese >/=95 — — Mitochondrial Haplogroup 19641616
    12358G,5417A,10873T mtDNA — 0.058 463 vs 1389 — Chinese >/=95 — — Mitochondrial Haplogroup 19641616
    A-3826G (rs1800592) - C-3740A UCP1 0.81 0.014 236 vs 741 — Italian >91 G-A — Candidate Region/Gene 21827845
    C4B1 C4B — 0.05 77 (cases) vs 235 — Italian Mean age 101 — — Candidate Region/Gene 10219002
    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
    rs1042718-rs1042719 ADRB2 0.63 1.86e-05 384 vs 384 579 vs 644 Chinese Mean age 102.1±0.20 G-C A-C Candidate Region/Gene 23020224
    rs1061581-rs1043618-rs2227956 — 4.51 0.016 191 vs 53 — Chinese >90 non A-G-C or non A-C-T haplotypes A-C-T Candidate Region/Gene 19840767
    rs1061581-rs1043618-rs2227956 — 3.46 0.025 191 vs 53 — Chinese >90 non A-G-C or non A-C-T haplotypes A-G-C Candidate Region/Gene 19840767
    rs2107538-rs2280789 RANTES 4.90 0.03 104 vs 110 — Spaniard Mean age 89.6 non A-T haplotypes A-T Candidate Region/Gene 22265023
    apoE haplotypes APOE — 0.013 35 old vs 71 young vs 54 MI patients — Chinese 90 apoE4 ApT4 Candidate Region/Gene 11780357
    D4a mtDNA haplogroups — 0.05 112 vs 96 — Japanese Minimum age 105 non-D4a D4a Complete Mitochondrial Genome 18545700
    APOE polymorphism APOE — 0.0001 291 vs 589 — Finn Mean age 97.5 e4 e2 Candidate Region/Gene 16487435
    APOE haplotype - rs1346044 APOE — 0.0001 175 vs 178 — Finn 100.8 e4 e2 Candidate Region/Gene 10069711
    APOE polymorphism APOE 0.38 0.002 200 (cases) vs 539 — Italian >88 e4 e2 Candidate Region/Gene 21703254
    rs429358, rs7412 APOE — 0.025 (150 m, 74 f) vs (121 m, 320 f) — Ashkenazi Jewish Mean age 75 e4 e2 Candidate Region/Gene 15621215
    rs429358, rs7412 APOE — 0.001 179 vs 615 — Finn Mean age 100 e4 e2, e3 Candidate Region/Gene 8018664
    rs2107538-rs2280789 RANTES — 0.04 104 vs 110 — Spaniard Mean age 89.6 non G-C haplotypes G-C Candidate Region/Gene 22265023
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    • 25 of 39 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