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: + -
    ‑ (2)   Candidate Region/Gene (34)   Mitochondrial Haplogroup (4)  
  • Variant type: + -
    SNP (13)   Locus (2)   Haplotype (10)   STR (2)  
    • 1 2 3 4 5 6 7 8 9 10 11 12
    13 14 15 16 17 18 19 20 21 X Y MT
    Export results (Download)

    Populations | Study Types | Variant Types


    LVDB_word_cloud.png
    logo.png
    variants.jpg
    polymorphism factor odds ratio pvalue initial number replication number Population age of cases shorter lived allele longer lived allele study type reference
    rs4946936 FOXO3 1.40 1.8e-05 761 vs 1056 350 vs 350 Chinese mean age 102.3 T C Candidate Region/Gene 19793722
    rs1042718-rs1042719 ADRB2 0.63 1.86e-05 384 vs 384 579 vs 644 Chinese Mean age 102.1±0.20 G-C A-C Candidate Region/Gene 23020224
    rs2802292 FOXO3 1.36 2.9e-05 761 vs 1056 350 vs 350 Chinese mean age 102.3 G T Candidate Region/Gene 19793722
    rs2755213 FOXO1 0.75 7.4e-05 761 vs 1056 350 vs 350 Chinese mean age 102.3 C T Candidate Region/Gene 19793722
    rs2253310 FOXO3 1.35 7.9e-05 761 vs 1056 350 vs 350 Chinese mean age 102.3 C G Candidate Region/Gene 19793722
    rs4746720 SIRT1 2.10 0.0001 223 vs 277 — Chinese Average age 93 CC, TT CT Candidate Region/Gene 23450480
    SI000565Q APOB — 0.0005 191 (case) vs 53 (initial) — Chinese > 90 baseline, Mean age 97 +/- 3 Short Long Candidate Region/Gene 17393087
    HLA-A phenotype HLA-A 1.95 0.002 201 vs 211 — Chinese 22 centenarians + 179 nonagenarians (mean age 93 ±1.04) A9 A30 Candidate Region/Gene 9147371
    STR variation CSF1TPO — 0.003 60 vs 250 — Chinese >90 low variation in STRs high variation in STRs - 20582731
    rs2291727 ADCY6 — 0.003 384 vs 384 579 vs 644 Chinese Mean age 102.1±0.20 — — Candidate Region/Gene 23020224
    rs28359172 MT-ND5 0.30 0.003 98 vs 117 — Chinese 90–100 G — Candidate Region/Gene 18759861
    mtDNA haplogroups mtDNA 2.01 0.003 367 vs 371 — Chinese Mean age 94.4 non-F F Mitochondrial Haplogroup 21945877
    rs189037 (genotype) ATM — 0.004 875 (280 m, 595 f) vs 886 (491 m, 395 f) — Chinese Mean age 94,6, healthy — CT (Article); GA (ENSEMBL) Candidate Region/Gene 20816691
    rs2755209 FOXO1 0.80 0.0046 761 vs 1056 350 vs 350 Chinese mean age 102.3 C T Candidate Region/Gene 19793722
    rs2227956 HSPA1L — 0.01 191 vs 53 — Chinese >90 TC TT/CC Candidate Region/Gene 19840767
    E4 APOE — 0.013 35 vs 125 — Chinese 90 years or over — — Candidate Region/Gene 11780357
    apoE haplotypes APOE — 0.013 35 old vs 71 young vs 54 MI patients — Chinese 90 apoE4 ApT4 Candidate Region/Gene 11780357
    apoE haplotypes APOE — 0.013 35 old vs 71 young vs 54 MI patients — Chinese 90 apoE4 — Candidate Region/Gene 11780357
    APOE4 APOE — 0.013 35 vs 125 — Chinese 90 years or over High E4 frequency — Candidate Region/Gene 11780357
    1376G/T;1388G/A;95A/G;871G/A;1024C/T;1360C/T;392 G/T G6PD 6.30 0.013 173 total (see notes) — Chinese >80 — — Candidate Region/Gene 17077204
    rs1042718 ADRB2 1.27 0.014 384 vs 384 579 vs 644 Chinese Mean age 102.1±0.20 C A Candidate Region/Gene 23020224
    rs1061581-rs1043618-rs2227956 — 4.51 0.016 191 vs 53 — Chinese >90 non A-G-C or non A-C-T haplotypes A-C-T Candidate Region/Gene 19840767
    5417A,10873T mtDNA — 0.018 463 vs 1389 — Chinese >/=95 — — Mitochondrial Haplogroup 19641616
    HLA-C phenotype HLA-C 0.49 0.02 201 vs 211 — Chinese >93 Cw3, Cw6. Cw7 — Candidate Region/Gene 9147371
    rs4746720 — 1.35 0.022 246 vs 236 — Chinese 60-90 — C Candidate Region/Gene 20633545
    • Page 1 of 2
    • 25 of 40 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