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
    Export results (Download)

    Populations | Study Types | Variant Types


    LVDB_word_cloud.png
    logo.png
    variants.jpg
    polymorphism factor odds ratio pvalue initial number replication number Population age of cases shorter lived allele longer lived allele study type reference
    APOA1-MspI-RFLP (−75) APOA1 — 0.016 229 vs 571 — Calabrian 81–109 (median 101) A (=Absence) — Candidate Region/Gene 12556235
    APOC3-SstI-RFLP (3'UTR, 3238 nt) APOC3 — 0.05 229 vs 571 — Calabrian 81–109 (median 101) — — Candidate Region/Gene 12556235
    rs147610191 APOA4 — 0.05 229 vs 571 — Calabrian 81–109 (median 101) — — Candidate Region/Gene 12556235
    rs1815739 ACTN3 1.03 0.1 59 vs 283 — Caucasian, Spaniard centenarians (aged 100–108 years) — — Candidate Region/Gene 21407828
    rs651922 DCPS 1.19 4.75e-05 801 vs 914 — Caucasian Median age 104 A G Genome-Wide Association Study 22279548
    rs1470196 KIAA1377 1.33 0.000498694 801 vs 914 — Caucasian Median age 104 A G Genome-Wide Association Study 22279548
    rs216493 PLEKHA7 1.10 0.001543457 801 vs 914 — Caucasian Median age 104 A G Genome-Wide Association Study 22279548
    rs7127390 IGSF4 1.13 0.001091248 801 vs 914 — Caucasian Median age 104 A G Genome-Wide Association Study 22279548
    rs4237774 OR56A1 1.18 0.000637699 801 vs 914 — Caucasian Median age 104 A G Genome-Wide Association Study 22279548
    rs894558 NAV2 1.13 0.004524209 801 vs 914 — Caucasian Median age 104 G A Genome-Wide Association Study 22279548
    rs4755936 SYT13 1.19 0.003578524 801 vs 914 — Caucasian Median age 104 G A Genome-Wide Association Study 22279548
    rs1815739 ACTN3 1.03 0.1 59 vs 283 — Caucasian, Spaniard centenarians (aged 100–108 years) — — Candidate Region/Gene 21407828
    DRD4 7R allele DRD4 — 3.5e-08 310 vs 2909 — European mean age 95.2 years — — Candidate Region/Gene 23283341
    rs610932 MS4A6A — 0.176 1364 — American, British Age range 50-108; mean age at death 80.2 C A Candidate Region/Gene 22445811
    rs3851179 PICALM — 0.227 1364 — American, British Age range 50-108; mean age at death 80.2 G A Candidate Region/Gene 22445811
    rs680109 GRIA4 — 2.52e-05 1364 — American, British Age range 50-108; mean age at death 80.2 C A Genome-Wide Association Study 22445811
    rs7103504 CNTN5 — 4.39e-05 1364 — American, British Age range 50-108; mean age at death 80.2 A G Genome-Wide Association Study 22445811
    rs7952321 OR5AS1 — 4.68e-05 1364 — American, British Age range 50-108; mean age at death 80.2 T G Genome-Wide Association Study 22445811
    T-455C APOC3 — 0.005 183 vs 110 — Russian 70-106 T C Candidate Region/Gene 11193221
    rs507879 CASP5 — 1.4e-05 510 vs 549 — Russian 75–103 AG AA, GG Candidate Region/Gene 20434535
    APOC3 T455C APOC3 — 0.05 147 elderly individuals (70–106 years old) — Russian mean age: 84.6 years — — Candidate Region/Gene 11193221
    rs11235972 UCP3 — 0.029 908 vs 708 — Danish 93 A — Candidate Region/Gene 22743239
    rs1685354 UCP3 — 0.762 908 vs 708 — Danish 93 — — Candidate Region/Gene 22743239
    rs3781907 UCP3 — 0.05 908 vs 708 — Danish 93 G — Candidate Region/Gene 22743239
    rs647126 UCP3 — 0.447 908 vs 708 — Danish 93 — — Candidate Region/Gene 22743239
    • Page 1 of 4
    • 25 of 81 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

    Suggest a new study Report a database issue