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
    APOE haplotype - rs1346044 APOE — 0.0001 175 vs 178 — Finn 100.8 e4 e2 Candidate Region/Gene 10069711
    APOE polymorphism APOE 0.38 0.002 200 (cases) vs 539 — Italian >88 e4 e2 Candidate Region/Gene 21703254
    APOE polymorphism APOE — 0.437 1408 cases — Brazilian 69.3 +/- 7.2 — — Candidate Region/Gene 17934638
    APOE polymorphism APOE — 0.02 80 vs 391 — Greek >80 epsilon4 — Candidate Region/Gene 17234815
    rs3220637 XRCC1 — 0.0005 430 (case) vs 290 — British Mean age 70 16 — Candidate Region/Gene 16518718
    APOE polymorphism - HP1/2 common polymorphism APOE — 0.013 200 (cases) vs 539 (initial) — Italian >88 e4-H2 (haplotype) — Candidate Region/Gene 21703254
    HP1/2 common polymorphism HP — 0.05 200 (cases) vs 539 (initial) (initial) — Italian >88 — — Candidate Region/Gene 21703254
    - 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
    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 0.75 0.005 2307 vs 764 — American, Danish Mean age 60.2 e4 e2 Candidate Region/Gene 23040522
    rs2075650 TOMM40 0.70 0.002 2307 vs 764 — American, Danish Mean age 60.2 G A Candidate Region/Gene 23040522
    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

    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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