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


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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/e3/e4 APOE 4.40 0.02 179 — Finn Minimum age 104 e3, e4 e2 Candidate Region/Gene 11213279
    APOE e2,e3,e4 APOE — 0.05 185 vs 486 — Finn Over 100 E4 e2 Candidate Region/Gene 8018664
    rs429358 + rs7412 APOE — 0.04 1236 vs 326 — Chinese 60+ e4 non-e4 Candidate Region/Gene 9792194
    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
    Lys751Gln ERCC2 — 0.017 149 vs 413 — Polish Mean age 101.1 homozygous (Lys/Lys, Gln/Gln) heterozygous (Lys/Gln) Candidate Region/Gene 19707883
    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
    rs3212948 ERCC1 — 0.1062 288 vs 554 — Calabrian 90+, median 92 — — Candidate Region/Gene 22576335
    rs4802234 CEACAM16 1.36 9.22e-06 801 vs 914 — Caucasian Median age 104 A C Genome-Wide Association Study 22279548
    rs7246865 MYO9B 1.25 0.000164604 801 vs 914 — Caucasian Median age 104 A G Genome-Wide Association Study 22279548
    rs11086106 PGPEP1 1.77 0.000263101 801 vs 914 — Caucasian Median age 104 A G Genome-Wide Association Study 22279548
    rs1674159 NDUFA11 1.41 0.000520159 801 vs 914 — Caucasian Median age 104 G A Genome-Wide Association Study 22279548
    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
    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
    APOE polymorphism APOE 3.26 0.001 64 vs 1344 — Italian 100+ e4 e2 Candidate Region/Gene 16960022
    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
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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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