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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    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
    - Insulin signaling pathway (IIS) — 0.01 403 vs 1670 — European 90-103 — — Genome-Wide Association Study 22113349
    - Telomere maintenance pathway (TM) — 0.02 403 vs 1670 — European 90-103 — — Genome-Wide Association Study 22113349
    3p24-22 3p24-22 — 0.037 3953 — American Minimum age 98 — — Genome-Wide Association Study 20824210
    GH1 "intron SNP" GH1 — 0.019 866 — Dutch Minimum age 85 — — Candidate Region/Gene 15771611
    VNTR in intron 5 (DeltaEF1 site) SIRT3 — 8e-05 242 vs 703 — Italian Median age 102 2b — Candidate Region/Gene 15676284
    VNTR in intron 5 (GATA3 site) SIRT3 — 0.025 242 vs 703 — Italian Median age 102 2a — Candidate Region/Gene 15676284
    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
    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
    192 PON1 1.26 0.007 Italian: 308 vs 579; Northern Irish: 296 vs 296 — Irish Italian: Mean age 100.8 +/- 2.1; Northern Irish: Mean age 89.8 +/- 5.7 Q — Candidate Region/Gene 15050299
    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
    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
    rs189037 ATM 1.85 0.028 128 vs 150 — Italian — — — - 22960875
    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
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    • 25 of 1027 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

    Suggest a new study Report a database issue