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


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    polymorphism factor odds ratio pvalue initial number replication number Population age of cases shorter lived allele longer lived allele study type reference
    VNTR (Variable Number of Tandem Repeats) APOB — 0.003 143 vs 158 — Italian mean age is 102 years 35 or more tandem repeats — Candidate Region/Gene 9050915
    rs11575134 IGFBP5 1.07 0.36 322 vs 603;279 vs 797;383 vs 363 — Caucasian 95.3 ± 2.2_x000D_;+M19994.5 ± 2.1_x000D_;mean 97.7, 95– 137 — — Candidate Region/Gene 19489743
    rs3770472 IGFBP5 1.04 0.6 323 vs 603;279 vs 797;383 vs 363 — Caucasian 95.3 ± 2.2_x000D_;+M19994.5 ± 2.1_x000D_;mean 97.7, 95– 138 — — Candidate Region/Gene 19489743
    rs1042571 POMC — 0.0874 288 vs 554 — Calabrian 90+, median 92 — — Candidate Region/Gene 22576335
    rs432203 TGFA — 0.00779 1173 vs 570 — American 85-100 — C Genome-Wide Association Study 22533364
    rs10190125 MYT1L 1.24 0.000168452 801 vs 914 — Caucasian Median age 104 A G Genome-Wide Association Study 22279548
    rs1898422 LRP1B 1.36 0.000323698 801 vs 914 — Caucasian Median age 104 C A Genome-Wide Association Study 22279548
    rs3769583 FLJ20272 1.31 0.001342643 801 vs 914 — Caucasian Median age 104 G A Genome-Wide Association Study 22279548
    rs723525 CTNNA2 1.18 0.001006991 801 vs 914 — Caucasian Median age 104 A G Genome-Wide Association Study 22279548
    rs4541274 CTNNA2 1.19 0.000704007 801 vs 914 — Caucasian Median age 104 G A Genome-Wide Association Study 22279548
    rs6732163 BRE 1.29 0.000460236 801 vs 914 — Caucasian Median age 104 A G Genome-Wide Association Study 22279548
    rs744373 BIN1 — 0.689 1364 — American, British Age range 50-108; mean age at death 80.2 A G Candidate Region/Gene 22445811
    rs4673651 ERBB4 — 6.08e-06 1364 — American, British Age range 50-108; mean age at death 80.2 G A Genome-Wide Association Study 22445811
    rs10496799 NXPH2 — 1.4e-05 1345 cohort + 1087 offspring — American — — — Genome-Wide Association Study 17903295
    rs7583529 CFLAR 3.15 6.45e-05 410 vs 553 — Italian 90–109 — — Genome-Wide Association Study 21612516
    rs4505466 SH3BP4 2.06 8.31e-05 410 vs 553 — Italian 90–109 — — Genome-Wide Association Study 21612516
    rs1800587 IL1A — 0.31 250 vs 400 — Finn >90 — — Candidate Region/Gene 11640949
    rs16944 IL1B — 0.08 250 vs 400 — Finn >90 — — Candidate Region/Gene 11640949
    rs1143634 IL1B — 0.53 250 vs 400 — Finn >90 — — Candidate Region/Gene 11640949
    intron 2 VNTR IL1RN — 0.08 250 vs 400 — Finn >90 — — Candidate Region/Gene 11640949
    rs1056836 CYP1B1 0.63 0.78 205 vs 294 — German 80-89; reference group: 17-79 — — - 15177664
    XRCC5 120 bp 5` (GAPyA)n STR — — 0.0005 430 (case) vs 290 — British Mean 70 16+2 15 Candidate Region/Gene 16518718
    SI000565Q APOB — 0.0005 191 (case) vs 53 (initial) — Chinese > 90 baseline, Mean age 97 +/- 3 Short Long Candidate Region/Gene 17393087
    XbaI APOB 1.30 0.03 191 (case) vs 53 — Chinese > 90 baseline, Mean age 97 +/- 3 — X+X+ Candidate Region/Gene 17393087
    SI000565Q APOB — 0.001 191 (case) vs 53 — Chinese > 90 baseline, Mean age 97 +/- 3 — LL Candidate Region/Gene 17393087
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    • 25 of 40 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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