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)  
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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
    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
    Arg156Arg ERCC2 — 0.05 149 vs 413 — Polish Mean age 101.1 — — Candidate Region/Gene 19707883
    Asp312Asn ERCC2 — 0.05 149 vs 413 — Polish Mean age 101.1 — — Candidate Region/Gene 19707883
    APOE polymorphism APOE — 0.02 80 vs 391 — Greek >80 epsilon4 — Candidate Region/Gene 17234815
    - APOC1 — 0.05 282 vs 200 — British 84 and over — — Candidate Region/Gene 9105559
    rs3212948 ERCC1 — 0.1062 288 vs 554 — Calabrian 90+, median 92 — — Candidate Region/Gene 22576335
    rs2075650 TOMM40 0.53 2.65e-06 403 vs 1670 3746 vs 5912 Dutch Mean age 94 G — Genome-Wide Association Study 21418511
    rs4420638 APOC1 0.53 1.8e-10 763 vs 1085 754 vs 850 German Mean age 99.7 G — Genome-Wide Association Study 21740922
    APOE4 APOE — 0.013 35 vs 125 — Chinese 90 years or over High E4 frequency — Candidate Region/Gene 11780357
    APOE4 APOE — 0.71 106 vs 349 — American 70-79 (duration of study - 7 years) e4 — Candidate Region/Gene 16799145
    apoE haplotypes APOE — 0.013 35 old vs 71 young vs 54 MI patients — Chinese 90+ apoE4 — Candidate Region/Gene 11780357
    Apo C-I 1>2 Apo C-I — 0.05 282 vs 200 — British 84+ Apo C-I 2 — Candidate Region/Gene 9105559
    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
    apoE haplotypes APOE — 0.013 35 old vs 71 young vs 54 MI patients — Chinese 90 apoE4 — Candidate Region/Gene 11780357
    rs1799782 XRCC1 — 0.658 430 vs 290 — British Mean age 70 — — Candidate Region/Gene 16518718
    rs25487 XRCC1 — 0.51 430 vs 290 — British Mean age 70 — — Candidate Region/Gene 16518718
    rs72533289 KIR2DS4 — 1.0 180 vs 180 — Irish Mean age 89 — — Candidate Region/Gene 15130674
    rs2075650 APOE 0.71 3.39e-17 403 vs 1670 4149 vs 7582 Dutch mean 94 e4 — Genome-Wide Association Study 21418511
    APOE polymorphism APOE — 0.437 1408 cases — Brazilian 69.3 +/- 7.2 — — Candidate Region/Gene 17934638
    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
    epsilon2/3/4 APOE — 0.05 67 vs 125 — Italian 99+ (mean: 100±2) epsilon4 — Candidate Region/Gene 10643896
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    • 25 of 67 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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