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 (1027)   No Age Effect (543)  
  • Study type: + -
    GWAS (2)   ‑ (27)   Candidate Region/Gene (784)   Meta‑Analysis (38)   Complete Mitochondrial Genome (2)   Whole‑Genome Linkage Scan (1)   Genome‑Wide Association Study (710)   Mitochondrial Haplogroup (36)   Mitochondrial genome (3)  
  • Variant type: + -
    SNP (572)   Locus (5)   Haplotype (87)   Other (1)   STR (11)   Deletion (5)   CNV (1)    (1)   VNTR (1)  
    • 1 2 3 4 5 6 7 8 9 10 11 12
    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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    polymorphism factor odds ratio pvalue initial number replication number Population age of cases shorter lived allele longer lived allele study type reference
    rs1801133 MTHFR — 0.06 564 vs. 374 — French mean age 100.71 TT CT, CC Candidate Region/Gene 9106548
    rs1800871 IL-10 — 0.0026 500 — Japanese 56.7 years; range, 19–100 years TC TT Candidate Region/Gene 16424284
    rs1801133 MTHFR 6.00 0.014 224 vs 441 — Ashkenazi Jewish 75 T C Candidate Region/Gene 15621215
    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
    M/T235 AGT 0.67 0.53 187 vs 201 — Danish centenarians T — Candidate Region/Gene 11602206
    rs2030071 IL12RB2 (for females) 0.18 0.008 137 vs 213 — Korean Mean age 90 T — Genome-Wide Association Study 19641380
    rs2769255 KCNQ4 (upstream) 1.08 5.17e-06 5974 (RS), 3267 (CHS), 3136 (FHS), 4511 (ARIC), 3219 (AGES), 902 (inCHIANTI), 620 (BLSA), 1661 (HABC), 1717 (SHIP) Whitehall II - 6000 (UK), English Longitudinal Study of Ageing (UK), Religious Order Study - 1100, Memory and Ageing Project American — T — Genome-Wide Association Study 21782286
    rs12740413 ARHGEF19 — 1.3e-05 1364 — American, British Age range 50-108; mean age at death 80.2 T C Genome-Wide Association Study 22445811
    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
    mtDNA haplogroups mtDNA 2.01 0.003 367 vs 371 — Chinese Mean age 94.4 non-F F Mitochondrial Haplogroup 21945877
    Met410Val SHC1 — 0.192 730 563 Human 85+ Met — Candidate Region/Gene 15036421
    STR variation CSF1TPO — 0.003 60 vs 250 — Chinese >90 low variation in STRs high variation in STRs - 20582731
    mtDNA haplogroups mtDNA 0.40 0.0003 74 vs 187 — Amish >80 years J non-J Mitochondrial Haplogroup 21750925
    rs1061170 CFH 1.78 0.005 491 vs 0 — Finn — His — — 19000922
    rs3215173 SHC1 1.60 0.15 230 vs 180 — Japanese Mean age 100.8 +/- 1.5 G/- — Candidate Region/Gene 14530863
    rs1805415 PARP1 0.66 0.001 479 vs 900 388 vs 364 African American, Caucasian — G,C T Candidate Region/Gene 19249341
    rs1776180 EXO1 1.39 0.01 395 vs 411 455 vs 109 French, German Mean age 101.3 G C Candidate Region/Gene 19698732
    rs12050077 TSHR 1.68 0.0001 232 vs 163 — Ashkenazi Jewish Median age 97 G A Candidate Region/Gene 19837933
    rs1800896 IL10 — 0.031 119 vs 118 — Jordanian Mean age 90.2 G A Candidate Region/Gene 20518833
    rs3211994 NTLH1 1.99 0.0056 1089 vs 736 1613 vs 1104 Danish 92-93 years old G A Candidate Region/Gene 22406557
    rs3818361 CR1 — 0.563 1364 — American, British Age range 50-108; mean age at death 80.2 G A Candidate Region/Gene 22445811
    rs1801133 MTHFR — 0.01 108 (patients with CVD) vs 118 — Swiss >65 C — Candidate Region/Gene 10583447
    rs11211037 PLK3 1.24 0.000175183 801 vs 914 — Caucasian Median age 104 C A Genome-Wide Association Study 22279548
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    • 25 of 83 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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