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
    rs1800896 - rs1800629 IL10 — 0.038 174 vs 224 — Italian >100 — GG-GG (only in men) Candidate Region/Gene 12676903
    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
    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
    e4 APOE 0.55 0.03 163 vs 1039 — Spanish 100+ e4 — Candidate Region/Gene 24534555
    mtDNA haplogroups mtDNA — 0.027 138 — Spaniard Minimum age 85 non-J J Mitochondrial Haplogroup 18931934
    4491A,3705G,10400T mtDNA — 0.027 463 vs 1389 — Chinese >/=95 — — Mitochondrial Haplogroup 19641616
    9 mtDNA haplogroups mtDNA haplogroup 0.38 0.025 98 vs. 117 — Chinese 90-100 years old J non-J - 18759861
    Haplogroup J — 0.38 0.025 98 vs 117 — Chinese 90–100 — — Candidate Region/Gene 18759861
    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
    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
    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
    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
    HP 1/2 HP 1.27 0.0194 1072 total — Italian >88 HP*2 HP*1 Candidate Region/Gene 21147083
    5417A,10873T mtDNA — 0.018 463 vs 1389 — Chinese >/=95 — — Mitochondrial Haplogroup 19641616
    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 - rs1008438 - rs2227956 Hsp70Ba 0.55 0.015 168 cases — Danish Mean age 92.8 +/- 0.4 — G-C-T (haplotype) Candidate Region/Gene 20388090
    A-3826G (rs1800592) - C-3740A UCP1 0.81 0.014 236 vs 741 — Italian >91 G-A — Candidate Region/Gene 21827845
    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 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 polymorphism - HP1/2 common polymorphism APOE — 0.013 200 (cases) vs 539 (initial) — Italian >88 e4-H2 (haplotype) — Candidate Region/Gene 21703254
    REN polymorphism - mtDNA mtDNA 3.27 0.006 157 — Italian 100+ — REN10 - mtDNA haplogroup H Candidate Region/Gene 11938442
    APOB XbaI − SI000565Q APOB — 0.006 191 (case) vs 53 (initial) — Chinese > 90 baseline, Mean age 97 +/- 3 X+ - Short X+ - Medium Candidate Region/Gene 17393087
    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 — 0.00211 184 vs 184 — Italian 100 non G-G-G-C-C-G haplotypes G-G-G-C-C-G Candidate Region/Gene 20126416

    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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