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)  
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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
    VNTR in intron 5 (GATA3 site) SIRT3 — 0.025 242 vs 703 — Italian Median age 102 2a — Candidate Region/Gene 15676284
    VNTR in intron 5 (DeltaEF1 site) SIRT3 — 8e-05 242 vs 703 — Italian Median age 102 2b — Candidate Region/Gene 15676284
    T-455C APOC3 — 0.005 183 vs 110 — Russian 70-106 T C Candidate Region/Gene 11193221
    rs939915 SIRT3 — 0.0145 2461 samples (cases and controls combined) — 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
    rs800140 TSPAN32 — 0.0081 1600 samples (cases and controls combined) — German, Italian — — — Candidate Region/Gene 19367319
    rs800140 TSPAN32 — 0.05 see notes; stratified by population; total = 1321 cases versus 1140 controls — French, German, Italian centenarians; see notes — — - 19367319
    rs739401 CARS — 0.00154 1173 vs 570 — American 85-100 — C Genome-Wide Association Study 22533364
    rs7127390 IGSF4 1.13 0.001091248 801 vs 914 — Caucasian Median age 104 A G Genome-Wide Association Study 22279548
    rs675 APOA4 — 0.05 58 vs 100 — Italian Mean age 102,3 — A (NCBI) Candidate Region/Gene 9622284
    rs651922 DCPS 1.19 4.75e-05 801 vs 914 — Caucasian Median age 104 A G Genome-Wide Association Study 22279548
    rs647126 UCP3 — 0.447 908 vs 708 — Danish 93 — — Candidate Region/Gene 22743239
    rs507879 CASP5 — 1.4e-05 510 vs 549 — Russian 75–103 AG AA, GG Candidate Region/Gene 20434535
    rs4938180 IGSF4 1.91 2.16e-05 410 vs 553 — Italian 90–109 — — Genome-Wide Association Study 21612516
    rs4936894 VWA5A 1.11 3.38e-07 5974 (RS), 3267 (CHS), 3136 (FHS), 4511 (ARIC), 3219 (AGES), 902 (inCHIANTI), 620 (BLSA), 1661 (HABC), 1717 (SHIP) Whitehall II - 6000 (UK), English Longitudinal Study of Ageing (UK), Religious Order Study - 1100, Memory and Ageing Project American — A — Genome-Wide Association Study 21782286
    rs4930001 DEAF1 — 0.010851 1600 samples (cases and controls combined) — German, Italian — — — Candidate Region/Gene 19367319
    rs4755936 SYT13 1.19 0.003578524 801 vs 914 — Caucasian Median age 104 G A Genome-Wide Association Study 22279548
    rs4237774 OR56A1 1.18 0.000637699 801 vs 914 — Caucasian Median age 104 A G Genome-Wide Association Study 22279548
    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
    rs4073590 DEAF1 — 0.05 see notes; stratified by population; total = 1321 cases versus 1140 controls — French, German, Italian centenarians; see notes — — - 19367319
    rs3842755 INS 1.79 0.0001 1089 vs 736 1613 vs 1104 Danish 92-93 years old C A Candidate Region/Gene 22406557
    rs3842755 INS 1.79 0.0001 1089 vs 736 1613 vs 1104 Danish 92.2–93.8 (mean age 93.2 C — Candidate Region/Gene 22406557
    rs3829251 NADSYN1 — 0.6 1038 vs 461 — Dutch 59.5 years (offspring of nonagerians) — — Candidate Region/Gene 23128285
    rs3781907 UCP3 — 0.05 908 vs 708 — Danish 93 G — Candidate Region/Gene 22743239
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    • 25 of 81 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