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


    LVDB_word_cloud.png
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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
    IL10 haplotypes IL10 — 0.05 60 vs 60 — Bulgarian Age range: 65-99 — −1082G, −819C, -592C Candidate Region/Gene 21299522
    IL10 haplotypes IL10 — 0.05 237 vs 90 — Turkish Age range: 65-99 — −1082G, −819C, −592C Candidate Region/Gene 21299522
    G1691A F5 — 0.004 432 vs 184 — Polish Minimum age 95 A G Candidate Region/Gene 20720309
    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
    rs1805415 PARP1 0.66 0.001 479 vs 900 388 vs 364 African American, Caucasian — G,C T Candidate Region/Gene 19249341
    rs11585393 FOXO6 1.04 0.531 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
    rs7547654 FOXO6 1.08 0.2 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
    rs1317558 FOXO6 1.11 0.257 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
    rs6693260 FOXO6 0.98 0.824 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
    rs6690527 FOXO6 1.01 0.867 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
    rs8191979 SHC1 — 0.38 230 vs 180 — Japanese Mean age 100.8 +/- 1.5 — — Candidate Region/Gene 14530863
    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
    rs3215173 SHC1 1.60 0.15 230 vs 180 — Japanese Mean age 100.8 +/- 1.5 G/- — Candidate Region/Gene 14530863
    rs970048 Intergenic 1.77 7.17e-07 3746 vs 5912 — Dutch Mean age 94 — G Genome-Wide Association Study 21418511
    Met410Val SHC1 — 0.192 730 563 Human 85+ Met — Candidate Region/Gene 15036421
    rs2476601 PTPN22 — 0.663 225 vs 278 — Italian Mean age 93 — — Candidate Region/Gene 21113673
    rs1801133 MTHFR — 0.01 108 (patients with CVD) vs 118 — Swiss >65 C — Candidate Region/Gene 10583447
    REN polymorphism - mtDNA mtDNA 3.27 0.006 157 — Italian 100+ — REN10 - mtDNA haplogroup H Candidate Region/Gene 11938442

    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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