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
    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
    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
    rs429358, rs7412 APOE 0.75 0.005 2307 vs 764 — American, Danish Mean age 60.2 e4 e2 Candidate Region/Gene 23040522
    rs429358, rs7412 APOE — 0.009 1477 total — Italian 18-109 e4 non-e4 - 16896546
    rs429358, rs7412 APOE — 0.0005 318 vs 350 376 vs 506 American, Caucasian Mean age 100,8 e4 e2 Candidate Region/Gene 18034366
    APOE e2/e3/e4 APOE 4.40 0.02 179 — Finn Minimum age 104 e3, e4 e2 Candidate Region/Gene 11213279
    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
    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
    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 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
    Apo C-I 1>2 Apo C-I — 0.05 282 vs 200 — British 84+ Apo C-I 2 — Candidate Region/Gene 9105559
    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
    rs3220637 XRCC1 — 0.0005 430 (case) vs 290 — British Mean age 70 16 — Candidate Region/Gene 16518718
    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
    APOE polymorphism APOE — 0.437 1408 cases — Brazilian 69.3 +/- 7.2 — — Candidate Region/Gene 17934638
    HP1/2 common polymorphism HP — 0.05 200 (cases) vs 539 (initial) (initial) — Italian >88 — — Candidate Region/Gene 21703254

    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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