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
    Not specified REN — 0.029 157 vs 218 — Italian Centenarians 11 — Candidate Region/Gene 15105583
    Ile119Val PCMT1 — 0.049 40 vs 40 — Ashkenazi Jewish Mean age 87.2 — — Candidate Region/Gene 10496068
    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
    TNF haplotypes TNF — 0.01 60 vs 50 — Bulgarian Age range: 65-99 — −1031 C/C, −863 C/A, −857 C/C, −308 G/G, +489 G/G Candidate Region/Gene 21299522
    TGFB1 haplotypes TGFB1 — 0.05 297 vs 130 — Turkish, Bulgarian Age range: 65-99 codon 10 C/C, codon 25 G/G — Candidate Region/Gene 21299522
    TGFB1 haplotypes TGFB1 — 0.05 60 vs 40 — Bulgarian Age range: 65-99 codon 10 C/C, codon 25 G/G; −988 C/C, −800 G/G — Candidate Region/Gene 21299522
    KIR2DS3 haplotypes KIR2DS3 — 0.05 100 vs 100 — Irish Age range: 65-99 — — Candidate Region/Gene 21299522
    Lys751Gln ERCC2 — 0.017 149 vs 413 — Polish Mean age 101.1 homozygous (Lys/Lys, Gln/Gln) heterozygous (Lys/Gln) Candidate Region/Gene 19707883
    −1082 G/A IL10 — 0.025 190 vs 260 — Italian >99 years old — G Candidate Region/Gene 11857058
    rs7896005 SIRT1 — 0.0056 224 vs 293 170 vs 220 Caucasian Range: 90-103 A — Candidate Region/Gene 21972126
    APOE polymorphism APOE — 0.02 80 vs 391 — Greek >80 epsilon4 — Candidate Region/Gene 17234815
    rs11235972 UCP3 — 0.029 908 (1905 Cohort) vs 708 (Study of Middle-Aged Danish Twins (MADT)) — Danish 93 A — Candidate Region/Gene 22743239
    rs3781907 UCP3 — 0.05 908 (1905 Cohort) vs 708 (Study of Middle-Aged Danish Twins (MADT)) — Danish 93 G — Candidate Region/Gene 22743239
    rs8191979 SHC1 — 0.38 230 vs 180 — Japanese Mean age 100.8 +/- 1.5 — — Candidate Region/Gene 14530863
    DR7 HLA-DRB1 — 0.01 325 centenarians versus 229 nonagenarian siblings — French — — — - 9425225
    DR11 HLA-DRB1 — 0.01 325 centenarians versus 229 nonagenarian siblings — French — — — - 9425225
    DR13 HLA-DRB1 — 0.01 325 centenarians versus 229 nonagenarian siblings — French — — — - 9425225
    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
    rs11188059 CYP2C — 0.04 616 centenarians versus control group of 945 younger individuals — German — — — Candidate Region/Gene 21798861
    VNTR (Variable Number of Tandem Repeats) APOB — 0.003 143 vs 158 — Italian mean age is 102 years 35 or more tandem repeats — Candidate Region/Gene 9050915
    apoAIV(360:His) APOA4 — 0.005 119 (see notes) vs 264 — French 74.29 ∓ 8.46 ApoAIV-1_x000D_, by the order of the sentence - I'm assuming it's Glutamine = G — Candidate Region/Gene 9533408
    HinfI347 APOA4 — 0.05 71 vs 100 — Italian mean102.3 years — — Candidate Region/Gene 9622284
    - TH — 0.045 202 vs 170 vs 82 — Italian 100-105 (oldest of 3 age groups, see notes) — — Candidate Region/Gene 11053670
    marker D4S1564 — — 0.044 308 — European min. age 98 for one sibling. 91+ males, 95+ females — — Genome-Wide Association Study 11526246

    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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