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
    rs13217795 FOXO3 — 0.05 1089 vs 736 — Danish 92–93 T — Candidate Region/Gene 20849522
    rs9400239 FOXO3 — 0.05 1089 vs 736 — Danish 92–93 C — Candidate Region/Gene 20849522
    rs9398172 FOXO3 — 0.05 1089 vs 736 — Danish 92–93 A — Candidate Region/Gene 20849522
    rs3800231 FOXO3 1.26 0.0495 1089 vs 736 — Danish 92–93 G — Candidate Region/Gene 20849522
    rs479744 FOXO3 — 0.05 1089 vs 736 — Danish 92–93 (can't figure out using ensemble and NCBI) — Candidate Region/Gene 20849522
    rs1002149 GSR 0.71 0.0335 1089 vs 736 1613 vs 1104 Danish 92.2–93.8 (mean age 93.2) A — Candidate Region/Gene 22406557
    rs3842755 INS 1.79 0.0001 1089 vs 736 1613 vs 1104 Danish 92.2–93.8 (mean age 93.2 C — Candidate Region/Gene 22406557
    rs1207362 KL 0.63 0.0001 1089 vs 736 1613 vs 1104 Danish 92.2–93.8 (mean age 93.2 A — Candidate Region/Gene 22406557
    rs2267723 GHRHR 0.70 0.0001 1089 vs 736 1613 vs 1104 Danish 92.2–93.8 (mean age 93.2) G — Candidate Region/Gene 22406557
    rs572169 GHSR 0.72 0.0045 1089 vs 736 1613 vs 1104 Danish 92.2–93.8 (mean age 93.2 A — Candidate Region/Gene 22406557
    rs9456497 IGF2R 1.42 0.005 1089 vs 736 1613 vs 1104 Danish 92.2–93.8 (mean age 93.2) A — Candidate Region/Gene 22406557
    rs11571461 RAD52 2.23 0.0001 1089 vs 736 1613 vs 1104 Danish 92.2–93.8 (mean age 93.2) A — Candidate Region/Gene 22406557
    rs13251813 WRN 1.84 0.0002 1089 vs 736 1613 vs 1104 Danish 92.2–93.8 (mean age 93.2 G — Candidate Region/Gene 22406557
    rs1805329 RAD23B 1.60 0.0225 1089 vs 736 1613 vs 1104 Danish 92.2–93.8 (mean age 93.2) A — Candidate Region/Gene 22406557
    rs2953983 POLB 0.72 0.0309 1089 vs 736 1613 vs 1104 Danish 92.2–93.8 (mean age 93.2) A — Candidate Region/Gene 22406557
    rs3211994 NTHL1 1.99 0.0056 1089 vs 736 1613 vs 1104 Danish 92.2–93.8 (mean age 93.2) G — Candidate Region/Gene 22406557
    --1082G-->A IL10 — 0.0001 109 (oldest old men) vs 263 (healthy controls) — Italian >95 A — Candidate Region/Gene 15466015
    rs266729 ADIPQO — 0.635 110 vs 120 — Jordanian mean age 90.2 years G C Candidate Region/Gene 20201642
    rs2241766 ADIPQO — 0.164 110 vs 120 — Jordanian mean age 90.2 years G T Candidate Region/Gene 20201642
    rs1501299 ADIPQO — 0.02 110 vs 120 — Jordanian mean age 90.2 years T G Candidate Region/Gene 20201642
    rs7799039 LEP — 0.02 110 vs 120 — Jordanian mean age 90.2 years C A Candidate Region/Gene 20201642
    D4a mtDNA haplogroups — 0.05 112 vs 96 — Japanese Minimum age 105 non-D4a D4a Complete Mitochondrial Genome 18545700
    mt146 C>T — — 0.005 113 (cases) vs 200 — Chinese 90-110 mt146T mt146C Complete Mitochondrial Genome 22729909
    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

    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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