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 (344)   No Age Effect (382)  
  • Study type: + -
    Candidate Region/Gene « 
  • Variant type: + -
    SNP (375)   Locus (3)   Haplotype (53)   Other (1)   STR (11)   Deletion (5)   CNV (1)    (1)   VNTR (1)  
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    13 14 15 16 17 18 19 20 21 X Y MT
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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
    rs1801133 MTHFR 6.00 0.014 224 vs 441 — Ashkenazi Jewish 75 T C Candidate Region/Gene 15621215
    REN polymorphism - mtDNA mtDNA 3.27 0.006 157 — Italian 100+ — REN10 - mtDNA haplogroup H Candidate Region/Gene 11938442
    rs1800896 IL10 3.10 0.0003 142 vs 153 — Mean age 67 AA GG Candidate Region/Gene 15466015
    rs1800896 IL-10 3.00 0.0003 142 vs 153 — Italian Mean age 67 AA GG Candidate Region/Gene 15466015
    rs28969505 YTHDF2 2.19 0.023 137 vs 412 — Italian age 99–109,years, mean age 101 years; 26 men, 111 women — — Candidate Region/Gene 16799135
    rs28969505 YTHDF2 2.19 0.023 137 vs 412 — Italian age 99–109,years, mean age 101 years; 26 men, 111 women — — Candidate Region/Gene 16799135
    rs3211994 NTLH1 1.99 0.0056 1089 vs 736 1613 vs 1104 Danish 92-93 years old G A Candidate Region/Gene 22406557
    rs1061170 CFH 1.78 0.005 491 with follow-up during 4 years — Finn >90 — TT Candidate Region/Gene 19000922
    rs12050077 TSHR 1.68 0.0001 232 vs 163 — Ashkenazi Jewish Median age 97 G A Candidate Region/Gene 19837933
    rs3215173 SHC1 1.60 0.15 230 vs 180 — Japanese Mean age 100.8 +/- 1.5 G/- — Candidate Region/Gene 14530863
    rs915179-rs2485662-rs4641-rs1468772 LMNA 1.56 2.5e-05 873 vs 443 New England Centenarian Study (NECS) (N = 738), (ii) the Southern Italian Centenarian Study (SICS) (N = 905), (iii) France (N = 1103), and (iv) the Einstein Ashkenazi Longevity Study (N = 702) American, Caucasian Mean age 101.5 — GTCT Candidate Region/Gene 22340368
    rs1776180 EXO1 1.39 0.01 395 vs 411 455 vs 109 French, German Mean age 101.3 G C Candidate Region/Gene 19698732
    rs3753645 SHC1 1.28 0.64 230 vs 180 — Japanese Mean age 100.8 +/- 1.5 T — Candidate Region/Gene 14530863
    rs3753644 SHC1 1.28 0.64 230 vs 180 — Japanese Mean age 100.8 +/- 1.5 T — Candidate Region/Gene 14530863
    rs1317558 FOXO6 1.11 0.257 1447 vs 1029 (German) 166 vs 216 (Italian) German Mean age 98.8 — — Candidate Region/Gene 21388494
    rs7547654 FOXO6 1.08 0.2 1447 vs 1029 (German) 166 vs 216 (Italian) German Mean age 98.8 — — Candidate Region/Gene 21388494
    rs11585393 FOXO6 1.04 0.531 1447 vs 1029 (German) 166 vs 216 (Italian) German Mean age 98.8 — — Candidate Region/Gene 21388494
    rs1317557 FOXO6 1.04 0.824 1447 vs 1029 (German) 166 vs 216 (Italian) German Mean age 98.8 — — Candidate Region/Gene 21388494
    rs7539614 FOXO6 1.02 0.739 1447 vs 1029 (German) 166 vs 216 (Italian) German Mean age 98.8 — — Candidate Region/Gene 21388494
    rs6690527 FOXO6 1.01 0.867 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
    rs4660192 FOXO6 0.97 0.663 1447 vs 1029 (German) 166 vs 216 (Italian) German Mean age 98.8 — — Candidate Region/Gene 21388494
    rs11209971 FOXO6 0.94 0.336 1447 vs 1029 (German) 166 vs 216 (Italian) German Mean age 98.8 — — Candidate Region/Gene 21388494
    rs4660532 FOXO6 0.93 0.224 1447 vs 1029 (German) 166 vs 216 (Italian) German Mean age 98.8 — — Candidate Region/Gene 21388494
    rs11581271 FOXO6 0.91 0.131 1447 vs 1029 (German) 166 vs 216 (Italian) German Mean age 98.8 — — Candidate Region/Gene 21388494
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    • 25 of 58 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