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: + -
    GWAS (2)   ‑ (8)   Candidate Region/Gene (344)   Meta‑Analysis (30)   Complete Mitochondrial Genome (1)   Genome‑Wide Association Study (607)   Mitochondrial Haplogroup (7)   Mitochondrial genome (3)  
  • Variant type: + -
    SNP (243)   Locus (3)   Haplotype (39)   STR (3)   Deletion (1)   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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    polymorphism factor odds ratio pvalue initial number replication number Population age of cases shorter lived allele longer lived allele study type reference
    rs970048 Intergenic 1.77 7.17e-07 3746 vs 5912 — Dutch Mean age 94 — G Genome-Wide Association Study 21418511
    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
    rs915179 LMNA 1.34 2.3666e-05 801 vs 914 — Caucasian Median age 104 A G Genome-Wide Association Study 22279548
    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
    rs701176 PCNXL2 1.02 4.74e-05 801 vs 914 — Caucasian Median age 104 A G Genome-Wide Association Study 22279548
    rs12050077 TSHR 1.68 0.0001 232 vs 163 — Ashkenazi Jewish Median age 97 G A Candidate Region/Gene 19837933
    --1082G-->A IL10 — 0.0001 109 (oldest old men) vs 263 (healthy controls) — Italian >95 A — Candidate Region/Gene 15466015
    rs11211037 PLK3 1.24 0.000175183 801 vs 914 — Caucasian Median age 104 C A Genome-Wide Association Study 22279548
    rs1800896 IL10 3.10 0.0003 142 vs 153 — Mean age 67 AA GG Candidate Region/Gene 15466015
    mtDNA haplogroups mtDNA 0.40 0.0003 74 vs 187 — Amish >80 years J non-J Mitochondrial Haplogroup 21750925
    rs1800896 IL-10 3.00 0.0003 142 vs 153 — Italian Mean age 67 AA GG Candidate Region/Gene 15466015
    rs2032563 CAMTA1 1.30 0.000401784 801 vs 914 — Caucasian Median age 104 A G Genome-Wide Association Study 22279548
    rs10489436 H6PD 1.06 0.000883064 801 vs 914 — Caucasian Median age 104 A G Genome-Wide Association Study 22279548
    rs6657655 LYST 1.09 0.000883462 801 vs 914 — Caucasian Median age 104 A G Genome-Wide Association Study 22279548
    rs1805415 PARP1 0.66 0.001 479 vs 900 388 vs 364 African American, Caucasian — G,C T Candidate Region/Gene 19249341
    rs17044026 ESRRG 1.46 0.001286948 801 vs 914 — Caucasian Median age 104 C A Genome-Wide Association Study 22279548
    mtDNA haplogroups mtDNA 7.56 0.0015 74 vs 187 — Amish >80 years non-X X Mitochondrial Haplogroup 21750925
    F5 G1691A F5 — 0.002 400 neonates (187 female and 312 male), 184 healthy adults (129 female and 55 male), and 432 long-lived individuals (343 women and 89 men). — Polish >95 years versus 44 years — — - 20720309
    rs1800871 IL-10 — 0.0026 500 — Japanese 56.7 years; range, 19–100 years TC TT Candidate Region/Gene 16424284
    STR variation CSF1TPO — 0.003 60 vs 250 — Chinese >90 low variation in STRs high variation in STRs - 20582731
    mtDNA haplogroups mtDNA 2.01 0.003 367 vs 371 — Chinese Mean age 94.4 non-F F Mitochondrial Haplogroup 21945877
    rs1764391 GJA4 — 0.0035 56 vs 196 (males) — Italian >99 — CC Candidate Region/Gene 16970956
    G1691A F5 — 0.004 432 vs 184 — Polish Minimum age 95 A G Candidate Region/Gene 20720309
    rs1061170 CFH 1.78 0.005 491 vs 0 — Finn — His — — 19000922
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    • 25 of 47 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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