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
    mtDNA haplogroups mtDNA 7.56 0.0015 74 vs 187 — Amish >80 years non-X X Mitochondrial Haplogroup 21750925
    mtDNA haplogroups mtDNA — 0.027 138 — Spaniard Minimum age 85 non-J J Mitochondrial Haplogroup 18931934
    D4a mtDNA haplogroups — 0.05 112 vs 96 — Japanese Minimum age 105 non-D4a D4a Complete Mitochondrial Genome 18545700
    rs1544410-rs17878969 VDR 15.30 0.001 104 vs 114 — Caucasian, Spaniard >85 non G-S haplotypes G-S Candidate Region/Gene 20407924
    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
    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
    rs2107538-rs2280789 RANTES — 0.04 104 vs 110 — Spaniard Mean age 89.6 non G-C haplotypes G-C Candidate Region/Gene 22265023
    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
    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
    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
    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
    9 mtDNA haplogroups mtDNA haplogroup 0.38 0.025 98 vs. 117 — Chinese 90-100 years old J non-J - 18759861
    mtDNA haplogroups mtDNA 0.40 0.0003 74 vs 187 — Amish >80 years J non-J Mitochondrial Haplogroup 21750925
    HP 1/2 HP 1.27 0.0194 1072 total — Italian >88 HP*2 HP*1 Candidate Region/Gene 21147083
    Cdx2–GATA haplotypes VDR — 0.05 923 — Dutch Mean age 75.7 GG GA, AA Candidate Region/Gene 21051524
    rs11568820-rs4516035-rs10735810-rs1544410-rs17878969 VDR 11.50 0.024 104 vs 114 — Caucasian, Spaniard >85 G-G-C-G-S non G-G-C-G-S haplotypes Candidate Region/Gene 20407924
    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
    A-3826G (rs1800592) - C-3740A UCP1 0.81 0.014 236 vs 741 — Italian >91 G-A — Candidate Region/Gene 21827845
    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
    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
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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

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