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
    CYP2D6*3 CYP2D6 — 1.0 552 vs 243 — French mean 101 — — Candidate Region/Gene 9654200
    CYP2D6*4 CYP2D6 — 1.0 523 vs 252 — French mean 101 — — Candidate Region/Gene 9654200
    GSTM1 deletion GSTM1 — 1.0 565 vs 229 — French mean 101 — — Candidate Region/Gene 9654200
    NAT2*5A (C 481 T), NAT2*6A (G 590 A), NAT2*7A (G 857 A), and NAT2*14A (G 191 A) NAT2 — 1.0 188 vs 88 — French mean 101 — — Candidate Region/Gene 9654200
    rs189037 ATM — 0.004 875 vs 886 — Chinese mean 94.6 — CT Candidate Region/Gene 20816691
    microsatellite polymorphism surrounded by rs2288377, rs5742612, and rs35767 IGF1 — 0.922 493 vs 425 — Chinese (females ≥ 94; males ≥ 90 — — Candidate Region/Gene 20199671
    codon 192 PON1 — 1.0 192 vs 77 — Italian 56 ages 66 to 89, 96 >90 — — Candidate Region/Gene 16799134
    codon 55 PON1 — 1.0 192 vs 77 — Italian 56 ages 66 to 89, 96 >90 — — Candidate Region/Gene 16799134
    11 different snps tested, not all given. MTTP — 1.0 1398 vs 777 — British 77.9 ± 0.2 — — Candidate Region/Gene 17339647
    (HLA)-A1, B8, DR3 — — 1.0 93 vs 100 — Irish 80-97 years — — Candidate Region/Gene 12714268
    rs1800629 TNF — 1.0 93 vs 100 — Irish 80-97 years — — Candidate Region/Gene 12714268
    rs909253 TNF — 1.0 93 vs 100 — Irish 80-97 years — — Candidate Region/Gene 12714268
    rs2288377 IGF1 — 1.0 485 vs 392 — Chinese 94.92 — — Candidate Region/Gene 18761080
    rs5742612 IGF1 — 1.0 485 vs 392 — Chinese 94.92 — — Candidate Region/Gene 18761080
    rs35767 IGF1 — 1.0 485 vs 392 — Chinese 94.92 — — Candidate Region/Gene 18761080
    rs17630266 FOXO1 — 1.0 761 vs 1056 350 vs 350 Chinese mean age 102.3 — — Candidate Region/Gene 19793722
    GH1 "intron SNP" GH1 — 0.019 866 — Dutch Minimum age 85 — — Candidate Region/Gene 15771611
    Ile119Val PCMT1 — 0.049 40 vs 40 — Ashkenazi Jewish Mean age 87.2 — — Candidate Region/Gene 10496068
    many SNPs TH — 0.05 1321 vs 1140 — Italian Mean age 101.9 (southern Italian), 101.0 (northern-central Italian), 104.41 (German), 103.1 (French) — — Candidate Region/Gene 19367319
    many SNPs IGF2 — 0.05 1321 vs 1140 — Italian Mean age 101.9 (southern Italian), 101.0 (northern-central Italian), 104.41 (German), 103.1 (French) — — Candidate Region/Gene 19367319
    many SNPs INS — 0.05 1321 vs 1140 — Italian Mean age 101.9 (southern Italian), 101.0 (northern-central Italian), 104.41 (German), 103.1 (French) — — Candidate Region/Gene 19367319
    many SNPs HRAS1 — 0.05 1321 vs 1140 — Italian Mean age 101.9 (southern Italian), 101.0 (northern-central Italian), 104.41 (German), 103.1 (French) — — Candidate Region/Gene 19367319
    rs939915 SIRT3 — 0.0145 2461 samples (cases and controls combined) — Italian — — — Candidate Region/Gene 19367319
    rs4073591 DEAF1 — 0.002618 1600 samples (cases and controls combined) — German, Italian — — — Candidate Region/Gene 19367319
    rs4073590 DEAF1 — 0.004259 1600 samples (cases and controls combined) — German, Italian — — — Candidate Region/Gene 19367319

    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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