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
    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
    rs1764391 GJA4 — 0.0035 56 vs 196 (males) — Italian >99 — CC Candidate Region/Gene 16970956
    rs4648884 RUNX3 — 0.00992 1173 vs 570 — American 85-100 — T Genome-Wide Association Study 22533364
    rs2030071 IL12RB2 (for females) 0.18 0.008 137 vs 213 — Korean Mean age 90 T — Genome-Wide Association Study 19641380
    rs1061170 CFH 1.78 0.005 491 with follow-up during 4 years — Finn >90 — TT Candidate Region/Gene 19000922
    rs1061170 CFH 1.78 0.005 491 vs 0 — Finn — His — — 19000922
    - GSTM1 — 0.54 66 vs 150 — Italian 100.19±2.2 (95-105) — — Candidate Region/Gene 15195682
    IVS3nt-167 FASLG — 0.462 50 vs 86 — Italian 100.8 ± 1.8 (100 to 106) — — Candidate Region/Gene 11965496
    IVS2nt-124 FASLG — 0.315 50 vs 86 — Italian 100.8 ± 1.8 (100 to 106) — — Candidate Region/Gene 11965496
    rs1800896 IL10 — 0.64 250 vs 400 — Finn >90 — — Candidate Region/Gene 11640949
    mtDNA haplogroups mtDNA — 0.027 138 — Spaniard Minimum age 85 non-J J Mitochondrial Haplogroup 18931934
    rs12562047 UCK2 — 2.7e-05 1364 — American, British Age range 50-108; mean age at death 80.2 A C Genome-Wide Association Study 22445811
    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
    rs3818361 CR1 — 0.563 1364 — American, British Age range 50-108; mean age at death 80.2 G A Candidate Region/Gene 22445811
    mtDNA haplogroups mtDNA 0.40 0.0003 74 vs 187 — Amish >80 years J non-J Mitochondrial Haplogroup 21750925
    mtDNA haplogroups mtDNA 7.56 0.0015 74 vs 187 — Amish >80 years non-X X Mitochondrial Haplogroup 21750925
    mtDNA haplogroups mtDNA 2.01 0.003 367 vs 371 — Chinese Mean age 94.4 non-F F Mitochondrial Haplogroup 21945877
    - PARP1 — 1.0 239 vs 198 — French >100 — — Candidate Region/Gene 9587069
    STR variation CSF1TPO — 0.003 60 vs 250 — Chinese >90 low variation in STRs high variation in STRs - 20582731
    GSTM1 deletion GSTM1 — 1.0 565 vs 229 — French mean 101 — — Candidate Region/Gene 9654200
    rs1801133 MTHFR — 0.06 564 vs. 374 — French mean age 100.71 TT CT, CC Candidate Region/Gene 9106548
    rs3211994 NTLH1 1.99 0.0056 1089 vs 736 1613 vs 1104 Danish 92-93 years old G A Candidate Region/Gene 22406557
    rs1801274 FCGR2A — 0.05 408 vs 446 vs 454 — German 100–110/ mean101.3 (SNP is His/Arg) — Candidate Region/Gene 16893392
    rs1801274 FCGR2A — 1.0 408 vs 446 vs 454 — German Centenarians — — Candidate Region/Gene 16893392
    rs1800896 - rs1800629 IL10 — 0.038 174 vs 224 — Italian >100 — GG-GG (only in men) Candidate Region/Gene 12676903
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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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