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
    - APOC1 — 0.05 282 vs 200 — British 84 and over — — Candidate Region/Gene 9105559
    epsilon2/3/4 APOE — 0.05 67 vs 125 — Italian 99+ (mean: 100±2) epsilon4 — Candidate Region/Gene 10643896
    E2 / E3 / E4 APOE — 1.2e-08 560 vs 560 — French centenarians 100th year or beyond, mean age 103.1 E4 — Candidate Region/Gene 11280044
    E4 APOE — 0.013 35 vs 125 — Chinese 90 years or over — — Candidate Region/Gene 11780357
    rs3745544 INSR — 0.441 122 vs 122 — Japanese mean age 106.8 — — Candidate Region/Gene 15582274
    rs3745546 INSR — 0.168 122 vs 122 — Japanese mean age 106.8 — — Candidate Region/Gene 15582274
    rs3745548 INSR — 0.057 122 vs 122 — Japanese mean age 106.8 — — Candidate Region/Gene 15582274
    rs2252673 INSR — 0.083 122 vs 122 — Japanese mean age 106.8 — — Candidate Region/Gene 15582274
    rs1799817 INSR — 0.205 122 vs 122 — Japanese mean age 106.8 — — Candidate Region/Gene 15582274
    rs2288404 INSR — 0.277 122 vs 122 — Japanese mean age 106.8 — — Candidate Region/Gene 15582274
    rs3212948 ERCC1 — 0.1062 288 vs 554 — Calabrian 90+, median 92 — — Candidate Region/Gene 22576335
    rs4420638 APOE — 9.6e-08 4445 total (each a part of sibship of 2-5 siblings) — Caucasian, European 90 — — Genome-Wide Association Study 23286790
    rs429358, rs7412 APOE — 0.025 (150 m, 74 f) vs (121 m, 320 f) — Ashkenazi Jewish Mean age 75 e4 e2 Candidate Region/Gene 15621215
    rs429358, rs7412 APOE — 0.001 179 vs 615 — Finn Mean age 100 e4 e2, e3 Candidate Region/Gene 8018664
    rs1800471 TGFB1 — 0.034 172 vs 247 — Italian 90-103 GC (genotype) — Candidate Region/Gene 15569360
    rs429358, rs7412 APOE — 0.009 1477 total — Italian 18-109 e4 non-e4 - 16896546
    VNTR DC-SIGNR — 0.041 361 vs 342 — Chinese >90 non-6/7 genotype 6/7 genotype Candidate Region/Gene 20003397
    rs429358, rs7412 APOE — 0.0005 318 vs 350 376 vs 506 American, Caucasian Mean age 100,8 e4 e2 Candidate Region/Gene 18034366
    rs429358, rs7412 APOE — 0.0212 60 vs 89 — African European Range: 20-59 — — Candidate Region/Gene 20569235
    rs2075650 APOE — 0.000527 1364 — American, British Age range 50-108; mean age at death 80.2 C T Candidate Region/Gene 22445811
    rs3764650 ABCA7 — 0.135 1364 — American, British Age range 50-108; mean age at death 80.2 C A Candidate Region/Gene 22445811
    rs3865444 CD33 — 0.442 1364 — American, British Age range 50-108; mean age at death 80.2 C A Candidate Region/Gene 22445811
    APOE polymorphism APOE 0.38 0.002 200 (cases) vs 539 — Italian >88 e4 e2 Candidate Region/Gene 21703254
    rs429358, rs7412 APOE 0.43 0.0006 114 vs 2071 — Irish >90 e4 e2 Candidate Region/Gene 11470126
    rs4420638 APOC1 0.53 1.8e-10 763 vs 1085 754 vs 850 German Mean age 99.7 G — Genome-Wide Association Study 21740922

    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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