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 (34)   No Age Effect (48)  
  • Study type: + -
    Candidate Region/Gene « 
  • Variant type: + -
    SNP « 
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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
    rs8052394 MT1a 2.16 0.0002 151 vs 100 — Italian Mean age 91.4 +/- 4.1 — A Candidate Region/Gene 16955215
    rs16928120 — — 0.00057 1600 samples (cases and controls combined) — German, Italian — — — Candidate Region/Gene 19367319
    K153R MSTN 3.48 0.001 156 vs 384 79 vs 316 Italian, Spaniard 100–111 K — Candidate Region/Gene 23354683
    rs4073591 DEAF1 — 0.002618 1600 samples (cases and controls combined) — German, Italian — — — Candidate Region/Gene 19367319
    rs1764391 GJA4 — 0.0035 56 vs 196 (males) — Italian >99 — CC Candidate Region/Gene 16970956
    rs4073590 DEAF1 — 0.004259 1600 samples (cases and controls combined) — German, Italian — — — Candidate Region/Gene 19367319
    rs73598374 ADA 0.32 0.0056 97 vs 261 — Italian >88 G*/G* A*+ Candidate Region/Gene 21865054
    rs1800795 IL6 — 0.006 244 vs 309 138 vs 98 Italian 85+ CC (genotype) — Candidate Region/Gene 19377912
    rs1042522 TP53 0.57 0.006 100 very old vs 280 old vs 189 young — Italian 91+, 73-91 P — Candidate Region/Gene 23125046
    rs1800795 IL-6 — 0.007 323 (cases) vs 377 (initial) — Italian median age = 101 G C Candidate Region/Gene 11500818
    rs422858 AGTR1 3.57 0.007 173 vs 376 — Italian 99-106 (mean 100.9±1.7) AG CC Candidate Region/Gene 22569962
    rs275653 AGTR1 3.57 0.007 173 vs 376 598 vs 422 Italian 99-106 (mean 100.9±1.7) A G Candidate Region/Gene 22569962
    rs1799945 HFE — 0.008 57 vs 60 — Italian 100-105 — — Candidate Region/Gene 12714263
    rs699947 VEGFA 1.43 0.008 166 vs 324 — Italian 85-99 (mean 89.8±2.8) C A Candidate Region/Gene 17574707
    rs800140 TSPAN32 — 0.0081 1600 samples (cases and controls combined) — German, Italian — — — Candidate Region/Gene 19367319
    rs1008438 HSPA1A — 0.009 894 total — Italian 18-109 A C Candidate Region/Gene 16896546
    rs4930001 DEAF1 — 0.010851 1600 samples (cases and controls combined) — German, Italian — — — Candidate Region/Gene 19367319
    −1190G/A VEGFA 1.39 0.014 166 vs 324 — Italian 85-99 (mean 89.8±2.8) G A Candidate Region/Gene 17574707
    rs1879417 — — 0.018 321 vs 442 — Italian 89-107 — — Candidate Region/Gene 23572278
    rs1800896 IL10 — 0.019 174 vs 227 — Italian >100 — GG Candidate Region/Gene 12676903
    rs2430561 IFNG — 0.02 174 vs 248 — Italian >99 T (females) — Candidate Region/Gene 11772518
    rs1801270 CDKN1A 0.44 0.02 184 vs 184 — Italian 100 A C Candidate Region/Gene 20126416
    rs1008438 HSPA1A — 0.02 894 total — Italian 18-109 C A (applies to males) Candidate Region/Gene 16896546
    rs4980329 SIRT3 — 0.02 357 — Italian 70+ — A Candidate Region/Gene 23839864
    rs1059234 CDKN1A 0.47 0.026 184 vs 184 — Italian 100 T C Candidate Region/Gene 20126416
    • Page 1 of 4
    • 25 of 89 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

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