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


    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
    rs10489436 H6PD 1.06 0.000883064 801 vs 914 — Caucasian Median age 104 A G Genome-Wide Association Study 22279548
    rs1061170 CFH 1.78 0.005 491 vs 0 — Finn — His — — 19000922
    rs1061170 CFH 1.78 0.005 491 with follow-up during 4 years — Finn >90 — TT Candidate Region/Gene 19000922
    rs11209971 FOXO6 0.94 0.336 1447 vs 1029 (German) 166 vs 216 (Italian) German Mean age 98.8 — — Candidate Region/Gene 21388494
    rs11211037 PLK3 1.24 0.000175183 801 vs 914 — Caucasian Median age 104 C A Genome-Wide Association Study 22279548
    rs11581271 FOXO6 0.91 0.131 1447 vs 1029 (German) 166 vs 216 (Italian) German Mean age 98.8 — — Candidate Region/Gene 21388494
    rs11585393 FOXO6 1.04 0.531 1447 vs 1029 (German) 166 vs 216 (Italian) German Mean age 98.8 — — Candidate Region/Gene 21388494
    rs12050077 TSHR 1.68 0.0001 232 vs 163 — Ashkenazi Jewish Median age 97 G A Candidate Region/Gene 19837933
    rs12129750 VPS13D 1.06 0.007897685 801 vs 914 — Caucasian Median age 104 A G Genome-Wide Association Study 22279548
    rs1317557 FOXO6 1.04 0.824 1447 vs 1029 (German) 166 vs 216 (Italian) German Mean age 98.8 — — Candidate Region/Gene 21388494
    rs1317558 FOXO6 1.11 0.257 1447 vs 1029 (German) 166 vs 216 (Italian) German Mean age 98.8 — — Candidate Region/Gene 21388494
    rs1538287 KCNH1 0.55 4.87e-05 410 vs 553 — Italian 90–109 — — Genome-Wide Association Study 21612516
    rs17044026 ESRRG 1.46 0.001286948 801 vs 914 — Caucasian Median age 104 C A Genome-Wide Association Study 22279548
    rs1764391 GJA4 — 0.0035 56 vs 196 (males) — Italian >99 — CC Candidate Region/Gene 16970956
    rs1776180 EXO1 1.39 0.01 395 vs 411 455 vs 109 French, German Mean age 101.3 G C Candidate Region/Gene 19698732
    rs1800871 IL-10 — 0.0026 500 — Japanese 56.7 years; range, 19–100 years TC TT Candidate Region/Gene 16424284
    rs1800896 IL10 3.10 0.0003 142 vs 153 — Mean age 67 AA GG Candidate Region/Gene 15466015
    rs1800896 IL10 — 0.031 119 vs 118 — Jordanian Mean age 90.2 G A Candidate Region/Gene 20518833
    rs1800896 IL10 — 0.019 174 vs 227 — Italian >100 — GG Candidate Region/Gene 12676903
    rs1800896 IL10 — 0.64 250 vs 400 — Finn >90 — — Candidate Region/Gene 11640949
    rs1800896 IL-10 3.00 0.0003 142 vs 153 — Italian Mean age 67 AA GG Candidate Region/Gene 15466015
    rs1800896 - rs1800629 IL10 — 0.038 174 vs 224 — Italian >100 — GG-GG (only in men) Candidate Region/Gene 12676903
    rs1801133 MTHFR — 0.01 108 (patients with CVD) vs 118 — Swiss >65 C — Candidate Region/Gene 10583447
    rs1801133 MTHFR — 0.06 564 vs. 374 — French mean age 100.71 TT CT, CC Candidate Region/Gene 9106548
    rs1801133 MTHFR 6.00 0.014 224 vs 441 — Ashkenazi Jewish 75 T C Candidate Region/Gene 15621215

    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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