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 (29)   No Age Effect (101)  
  • Study type: + -
    ‑ (14)   Candidate Region/Gene (102)   Genome‑Wide Association Study (15)  
  • Variant type: + -
    SNP (100)   CNV (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
    Export results (Download)

    Populations | Study Types | Variant Types


    LVDB_word_cloud.png
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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
    rs11040489 KRTAP5-6 — 0.005869 1600 samples (cases and controls combined) — German, Italian — — — Candidate Region/Gene 19367319
    rs6911407 FOXO3 1.28 0.006 388 vs 371 535 vs 553 German mean age 98.4 years — — Candidate Region/Gene 19196970
    rs2802288 FOXO3 1.28 0.006 388 vs 371 535 vs 553 German mean age 98.4 years — — Candidate Region/Gene 19196970
    rs768023 FOXO3 1.27 0.007 388 vs 371 535 vs 553 German mean age 98.4 years — — Candidate Region/Gene 19196970
    rs800140 TSPAN32 — 0.0081 1600 samples (cases and controls combined) — German, Italian — — — Candidate Region/Gene 19367319
    rs1776180 EXO1 1.39 0.01 395 vs 411 455 vs 109 French, German Mean age 101.3 G C Candidate Region/Gene 19698732
    rs2802290 FOXO3 1.26 0.01 388 vs 371 535 vs 553 German mean age 98.4 years — — Candidate Region/Gene 19196970
    rs4930001 DEAF1 — 0.010851 1600 samples (cases and controls combined) — German, Italian — — — Candidate Region/Gene 19367319
    rs2301582 NALP1 1.30 0.011 386 vs 410 541 vs 469 German 100 to 110, mean age = 101.3 C — Candidate Region/Gene 20800603
    rs12770830 HSPA14 1.35 0.011 1,089 vs 736 1,613 vs 1,104 Danish, German 92-93 Danish, 95–110 German — — — 22234866
    rs648802 PERP 1.29 0.012 386 vs 410 541 vs 469 German 100 to 110, mean age = 101.3 C — Candidate Region/Gene 20800603
    rs769449 APOE 0.70 0.018 1,089 vs 736 1,613 vs 1,104 Danish, German 92-93 Danish, 95–110 German G — — 22234866
    rs13220810 FOXO3 0.78 0.02 388 vs 371 535 vs 553 German mean age 98.4 years — — Candidate Region/Gene 19196970
    rs1268170 FOXO3 1.24 0.02 388 vs 371 535 vs 553 German mean age 98.4 years — — Candidate Region/Gene 19196970
    rs11188059 CYP2C — 0.04 616 centenarians versus control group of 945 younger individuals — German — — — Candidate Region/Gene 21798861
    rs473268 FOXO3 1.21 0.044 388 vs 371 535 vs 553 German mean age 98.4 years — — Candidate Region/Gene 19196970
    - HRAS1 — 0.05 see notes; stratified by population; total = 1321 cases versus 1140 controls 1 (specifically for SIRT3 in a French population) French, German, Italian centenarians; see notes — — - 19367319
    - TH — 0.05 see notes; stratified by population; total = 1321 cases versus 1140 controls — French, German, Italian centenarians; see notes — — - 19367319
    - INS — 0.05 see notes; stratified by population; total = 1321 cases versus 1140 controls — French, German, Italian centenarians; see notes — — - 19367319
    - IGF2 — 0.05 see notes; stratified by population; total = 1321 cases versus 1140 controls — French, German, Italian centenarians; see notes — — - 19367319
    rs4073591 — — 0.05 see notes; stratified by population; total = 1321 cases versus 1140 controls — French, German, Italian centenarians; see notes — — - 19367319
    rs4073590 DEAF1 — 0.05 see notes; stratified by population; total = 1321 cases versus 1140 controls — French, German, Italian centenarians; see notes — — - 19367319
    rs11040489 KRTAP5-6 — 0.05 see notes; stratified by population; total = 1321 cases versus 1140 controls — French, German, Italian centenarians; see notes — — - 19367319
    rs4930001 — — 0.05 see notes; stratified by population; total = 1321 cases versus 1140 controls — French, German, Italian centenarians; see notes — — - 19367319
    rs800140 TSPAN32 — 0.05 see notes; stratified by population; total = 1321 cases versus 1140 controls — French, German, Italian centenarians; see notes — — - 19367319

    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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