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
    rs2866164 MTP — 0.024 318 vs 350 376 vs 506 American, Caucasian Mean age 100,8 GG — Candidate Region/Gene 18034366
    rs795602 MGST2 0.67 4.52e-05 410 vs 553 — Italian 90–109 — — Genome-Wide Association Study 21612516
    rs2282679 GC — 0.6 1038 vs 461 — Dutch 59.5 years (offspring of nonagerians) — — Candidate Region/Gene 23128285
    −455 G/A FGB — 0.56 2224 — American, Caucasian 65+ — — Candidate Region/Gene 15939070
    rs2866164 MTTP — 1.0 1651 vs 575 — Danish 92-93 — — Candidate Region/Gene 16015282
    rs1800591 MTTP — 0.032 525 vs 251 — Dutch Mean age 93.8±3.1 — — Candidate Region/Gene 16611701
    rs1800591 MTTP — 0.64 655 vs 244 — Dutch Mean age 87.5±3.1 — — Meta-Analysis 16611701
    rs61733139 MTTP — 0.32 525 vs 251 — Dutch Mean age 93.8±3.1 — — Candidate Region/Gene 16611701
    rs61733139 MTTP — 0.43 655 vs 244 — Dutch Mean age 87.5±3.1 — — Meta-Analysis 16611701
    rs1800591-rs61733139 MTTP — 0.61 197 vs 251 — Dutch Mean age 93.8±3.1 — — Candidate Region/Gene 16611701
    rs1800591-rs61733139 MTTP — 0.46 655 vs 244 — Dutch Mean age 87.5±3.1 — — Meta-Analysis 16611701
    MTP -493G/T MTP — 0.854 — — Chinese — — — - 23273182
    rs8192678 PPARGC1A — 0.469 122 vs 122 — Japanese mean age 106.8 — — Candidate Region/Gene 15582274
    rs3736265 PPARGC1A — 0.509 122 vs 122 — Japanese mean age 106.8 — — Candidate Region/Gene 15582274
    A-3826G (rs1800592) - C-3740A UCP1 0.81 0.014 236 vs 741 — Italian >91 G-A — Candidate Region/Gene 21827845
    rs6812745 SORCS2 1.21 0.000558765 801 vs 914 — Caucasian Median age 104 G A Genome-Wide Association Study 22279548
    rs358256 GBA3 1.12 0.001136273 801 vs 914 — Caucasian Median age 104 G A Genome-Wide Association Study 22279548
    rs1230155 METAP1 1.20 0.000611098 801 vs 914 — Caucasian Median age 104 G A Genome-Wide Association Study 22279548
    rs4647992 NFKB1 1.81 0.000608192 801 vs 914 — Caucasian Median age 104 G A Genome-Wide Association Study 22279548
    rs1517598 PROM1 1.44 0.000445256 801 vs 914 — Caucasian Median age 104 G A Genome-Wide Association Study 22279548
    rs4859571 NAAA — 1.56e-05 1364 — American, British Age range 50-108; mean age at death 80.2 G A Genome-Wide Association Study 22445811
    rs2710548 FAT4 — 2.79e-05 1364 — American, British Age range 50-108; mean age at death 80.2 G A Genome-Wide Association Study 22445811
    rs6532496 PDLIM5 — 4e-05 1364 — American, British Age range 50-108; mean age at death 80.2 G A Genome-Wide Association Study 22445811
    rs17618813 ANK2 — 4.16e-05 1364 — American, British Age range 50-108; mean age at death 80.2 G A Genome-Wide Association Study 22445811
    rs2866164 MTTP 1.18 0.34 666 vs 540 1033 vs 359 German <100 G C Candidate Region/Gene 15911777

    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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