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
    R353Q F7 — 0.045 224 vs 441 — Ashkenazi Jewish 75 A G Candidate Region/Gene 15621215
    rs17702471 GPC6 1.16 0.000147857 801 vs 914 — Caucasian Median age 104 A G Genome-Wide Association Study 22279548
    rs9557276 CLYBL 1.33 4.6512e-05 801 vs 914 — Caucasian Median age 104 A C Genome-Wide Association Study 22279548
    rs9530108 NBEA 1.26 0.00112398 801 vs 914 — Caucasian Median age 104 G A Genome-Wide Association Study 22279548
    rs7319813 PIG38 1.39 0.000391694 801 vs 914 — Caucasian Median age 104 G A Genome-Wide Association Study 22279548
    rs7318601 PIG38 1.44 0.000508958 801 vs 914 — Caucasian Median age 104 G A Genome-Wide Association Study 22279548
    rs201058276 F7 0.68 0.01 187 vs 201 — Danish centenarians R — Candidate Region/Gene 11602206
    323ins10 F7 0.69 0.01 187 vs 201 — Danish centenarians 323P0 — Candidate Region/Gene 11602206
    −438 G/A TAFI 0.53 0.003 2224 — American, Caucasian 65+ G (men) — Candidate Region/Gene 15939070
    rs2297626 FOXO1A — 0.512 122 vs 122 — Japanese mean age 106.8 — — Candidate Region/Gene 15582274
    rs2297627 FOXO1A — 0.495 122 vs 122 — Japanese mean age 106.8 — — Candidate Region/Gene 15582274
    rs3751436 FOXO1A — 0.369 122 vs 122 — Japanese mean age 106.8 — — Candidate Region/Gene 15582274
    R353Q FVII — 0.61 113 vs 100 — Scottish 96 years vs 32 years — — - 10744171
    IVS7 FVII — 0.69 113 vs 100 — Scottish 96 vs 32 — — - 10744171
    rs2701893 FOXO1 0.98 0.772 1447 vs 1029 (German) 166 vs 216 (Italian) German Mean age 98.8 — — Candidate Region/Gene 21388494
    rs2721047 FOXO1A 0.98 0.177 1447 vs 1029 (initial) 166 vs 216 (Italian) (replication) German Mean age 98.8 — — Candidate Region/Gene 21388494
    rs17446593 FOXO1 0.93 0.338 1447 vs 1029 (German) 166 vs 216 (Italian) German — — — Candidate Region/Gene 21388494
    rs2755209 FOXO1 0.98 0.77 1447 vs 1029 (German) 166 vs 216 (Italian) German Mean age 98.8 — — Candidate Region/Gene 21388494
    rs1078892 FOXO1 0.96 0.589 1447 vs 1029 (German) 166 vs 216 (Italian) German — — — Candidate Region/Gene 21388494
    rs2701859 FOXO1 0.90 0.117 1447 vs 1029 (German) 166 vs 216 (Italian) German Mean age 98.8 — — Candidate Region/Gene 21388494
    rs12865518 FOXO1 1.07 0.307 1447 vs 1029 (German) 166 vs 216 (Italian) German — — — Candidate Region/Gene 21388494
    rs2721069 FOXO1 0.93 0.251 1447 vs 1029 (German) 166 vs 216 (Italian) German Mean age 98.8 — — Candidate Region/Gene 21388494
    rs2755213 FOXO1 0.95 0.626 1447 vs 1029 (German) 166 vs 216 (Italian) German Mean age 98.8 — — Candidate Region/Gene 21388494
    rs2701880 FOXO1 0.83 0.12 1447 vs 1029 (German) 166 vs 216 (Italian) German Mean age 98.8 — — Candidate Region/Gene 21388494
    rs2951787 FOXO1 1.03 0.6 1447 vs 1029 (German) 166 vs 216 (Italian) German Mean age 98.8 — — Candidate Region/Gene 21388494
    • Page 1 of 3
    • 25 of 51 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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