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 (344)   No Age Effect (382)  
  • Study type: + -
    Candidate Region/Gene « 
  • Variant type: + -
    SNP (375)   Locus (3)   Haplotype (53)   Other (1)   STR (11)   Deletion (5)   CNV (1)    (1)   VNTR (1)  
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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 e2/e4 APOE 2.00 0.001 300 vs 160 — French 100+ e4 e2 Candidate Region/Gene 8136829
    Apo C-I 1>2 Apo C-I — 0.05 282 vs 200 — British 84+ Apo C-I 2 — Candidate Region/Gene 9105559
    - APOC1 — 0.05 282 vs 200 — British 84 and over — — Candidate Region/Gene 9105559
    APOE e2,e3,e4 APOE 9.24 0.01 224 vs 441 — Ashkenazi Jewish 75 e4 e2 Candidate Region/Gene 15621215
    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
    rs3212948 ERCC1 — 0.1062 288 vs 554 — Calabrian 90+, median 92 — — Candidate Region/Gene 22576335
    APOE4 APOE — 0.013 35 vs 125 — Chinese 90 years or over High E4 frequency — Candidate Region/Gene 11780357
    apoE haplotypes APOE — 0.013 35 old vs 71 young vs 54 MI patients — Chinese 90+ apoE4 — Candidate Region/Gene 11780357
    apoE haplotypes APOE — 0.013 35 old vs 71 young vs 54 MI patients — Chinese 90 apoE4 ApT4 Candidate Region/Gene 11780357
    apoE haplotypes APOE — 0.013 35 old vs 71 young vs 54 MI patients — Chinese 90 apoE4 — Candidate Region/Gene 11780357
    E4 APOE — 0.013 35 vs 125 — Chinese 90 years or over — — Candidate Region/Gene 11780357
    APOE e2,e3,e4 APOE — 0.05 185 vs 486 — Finn Over 100 E4 e2 Candidate Region/Gene 8018664
    rs429358, rs7412 APOE — 0.001 179 vs 615 — Finn Mean age 100 e4 e2, e3 Candidate Region/Gene 8018664
    APOE4 APOE — 0.71 106 vs 349 — American 70-79 (duration of study - 7 years) e4 — Candidate Region/Gene 16799145
    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
    rs1800471 TGFB1 — 0.034 172 vs 247 — Italian 90-103 GC (genotype) — Candidate Region/Gene 15569360
    rs429358, rs7412 APOE — 0.0212 60 vs 89 — African European Range: 20-59 — — Candidate Region/Gene 20569235
    TGFB1 haplotypes TGFB1 — 0.05 297 vs 130 — Turkish, Bulgarian Age range: 65-99 codon 10 C/C, codon 25 G/G — Candidate Region/Gene 21299522
    TGFB1 haplotypes TGFB1 — 0.05 60 vs 40 — Bulgarian Age range: 65-99 codon 10 C/C, codon 25 G/G; −988 C/C, −800 G/G — Candidate Region/Gene 21299522
    KIR2DS3 haplotypes KIR2DS3 — 0.05 100 vs 100 — Irish Age range: 65-99 — — Candidate Region/Gene 21299522
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    • 25 of 52 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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