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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    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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    variants.jpg
    polymorphism factor odds ratio pvalue initial number replication number Population age of cases shorter lived allele longer lived allele study type reference
    rs1857821 NAAA — 5.12e-06 1364 — American, British Age range 50-108; mean age at death 80.2 A G Genome-Wide Association Study 22445811
    rs10518142 NAAA — 8.89e-06 1364 — American, British Age range 50-108; mean age at death 80.2 G T Genome-Wide Association Study 22445811
    rs2271528 SDAD1 — 1.02e-05 1364 — American, British Age range 50-108; mean age at death 80.2 C T Genome-Wide Association Study 22445811
    rs13111494 ART3 — 1.28e-05 1364 — American, British Age range 50-108; mean age at death 80.2 A G Genome-Wide Association Study 22445811
    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
    rs795602 MGST2 0.67 4.52e-05 410 vs 553 — Italian 90–109 — — Genome-Wide Association Study 21612516
    rs765850 APBB2 1.10 0.000259753 801 vs 914 — Caucasian Median age 104 A G Genome-Wide Association Study 22279548
    rs2660342 LOC285429 1.23 0.000314442 801 vs 914 — Caucasian Median age 104 A G 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
    rs6812745 SORCS2 1.21 0.000558765 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
    rs1230155 METAP1 1.20 0.000611098 801 vs 914 — Caucasian Median age 104 G A Genome-Wide Association Study 22279548
    rs7656234 SLC4A4 1.16 0.000700593 801 vs 914 — Caucasian Median age 104 A G 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
    rs750032 PPP3CA — 0.0029 653 (197 m, 456 f) vs non-mentioned 564 (92 m, 472 f) vs 564___(Franch Caucasians) American, Caucasian Mean 100,8 — — Genome-Wide Association Study 14615589
    rs10937739 PPP2R2C — 0.00404 1173 vs 570 — American 85-100 — T Genome-Wide Association Study 22533364
    A-3826G (rs1800592) - C-3740A UCP1 0.81 0.014 236 vs 741 — Italian >91 G-A — Candidate Region/Gene 21827845
    rs10014396 SNCA — 0.021 769 total (see notes) — Caucasian >90 (oldest age group) C — Candidate Region/Gene 22912757
    rs2866164 MTP — 0.024 318 vs 350 376 vs 506 American, Caucasian Mean age 100,8 GG — Candidate Region/Gene 18034366
    rs3775439 SNCA — 0.025 769 total (see notes) — Caucasian >90 (oldest age group) A — Candidate Region/Gene 22912757
    rs1800591 MTTP — 0.032 525 vs 251 — Dutch Mean age 93.8±3.1 — — Candidate Region/Gene 16611701
    rs2866164 MTP — 0.05 205 vs 288 — Ashkenazi Jewish Mean age 97 non-CC CC Candidate Region/Gene 22496539
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    • 25 of 60 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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