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


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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
    rs4755936 SYT13 1.19 0.003578524 801 vs 914 — Caucasian Median age 104 G A Genome-Wide Association Study 22279548
    rs189037 ATM — 0.004 875 vs 886 — Chinese mean 94.6 — CT Candidate Region/Gene 20816691
    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
    rs4073590 DEAF1 — 0.004259 1600 samples (cases and controls combined) — German, Italian — — — Candidate Region/Gene 19367319
    rs894558 NAV2 1.13 0.004524209 801 vs 914 — Caucasian Median age 104 G A Genome-Wide Association Study 22279548
    HUMTHO1.STR TH 0.85 0.005 210 vs 755 — Italian 100+ — 10* (imperfect allele 10) Candidate Region/Gene 12297342
    T-455C APOC3 — 0.005 183 vs 110 — Russian 70-106 T C Candidate Region/Gene 11193221
    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
    rs11040489 KRTAP5-6 — 0.005869 1600 samples (cases and controls combined) — German, Italian — — — Candidate Region/Gene 19367319
    rs800140 TSPAN32 — 0.0081 1600 samples (cases and controls combined) — German, Italian — — — Candidate Region/Gene 19367319
    rs4930001 DEAF1 — 0.010851 1600 samples (cases and controls combined) — German, Italian — — — Candidate Region/Gene 19367319
    rs939915 SIRT3 — 0.0145 2461 samples (cases and controls combined) — Italian — — — Candidate Region/Gene 19367319
    rs11039149 NR1H3 — 0.015 599 — Dutch 85 years haplotype 1 haplotype 2 Candidate Region/Gene 17452725
    APOA1-MspI-RFLP (−75) APOA1 — 0.016 229 vs 571 — Calabrian 81–109 (median 101) A (=Absence) — Candidate Region/Gene 12556235
    rs2509049 H2AFX 0.63 0.017 1089 (see notes - follow-up study) 563 (see notes - follow-up study) Danish 92.2–93.8 (mean age 93.2) w/ 11.4 years follow-up A — Candidate Region/Gene 22406557
    VNTR in intron 5 (GATA3 site) SIRT3 — 0.025 242 vs 703 — Italian Median age 102 2a — Candidate Region/Gene 15676284
    G477T SIRT3 — 0.0272 801 — Italian 120 subject aged 100 or older GT TT Candidate Region/Gene 14580859
    rs189037 ATM 1.85 0.028 128 vs 150 — Italian — — — - 22960875
    rs11235972 UCP3 — 0.029 908 vs 708 — Danish 93 A — Candidate Region/Gene 22743239
    rs11235972 UCP3 — 0.029 908 (1905 Cohort) vs 708 (Study of Middle-Aged Danish Twins (MADT)) — Danish 93 A — Candidate Region/Gene 22743239
    rs189037 ATM 1.85 0.037 67 vs 61 — Italian Centenarians — — Candidate Region/Gene 22960875
    rs2060793 CYP2R1 — 0.04 1038 vs 461 — Dutch 59.5 years (offspring of nonagerians) A — Candidate Region/Gene 23128285
    rs2060793 CYP2R1 — 0.04 1038 (offspring of nonagenarians who had at least one nonagenarian sibling) vs 461 (offsprings' partners) — Dutch Males: >/= 89; Females: >/= 91 — — Candidate Region/Gene 23128285
    APOA1-MspI-RFLP A/P alleles APOA1 — 0.045 413 vs. 571 — Italian median age 101 A P Candidate Region/Gene 12556235
    - TH — 0.045 202 vs 170 vs 82 — Italian 100-105 (oldest of 3 age groups, see notes) — — Candidate Region/Gene 11053670

    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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