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 « 
  • Study type: + -
    GWAS (2)   ‑ (8)   Candidate Region/Gene (344)   Meta‑Analysis (30)   Complete Mitochondrial Genome (1)   Genome‑Wide Association Study (607)   Mitochondrial Haplogroup (7)   Mitochondrial genome (3)  
  • Variant type: + -
    SNP (243)   Locus (3)   Haplotype (39)   STR (3)   Deletion (1)   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
    rs3211994 NTLH1 1.99 0.0056 1089 vs 736 1613 vs 1104 Danish 92-93 years old G A Candidate Region/Gene 22406557
    rs1002149 GSR 0.71 0.0335 1089 vs 736 1613 vs 1104 Danish 92-93 years old A C Candidate Region/Gene 22406557
    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
    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
    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
    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
    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
    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
    rs6166 FSHR 4.21 0.036 114 vs 173 — Italian >/=90 Asn Ser Candidate Region/Gene 22985084
    rs1801282 PPARG 0.13 0.03 114 vs 173 — Italian >/=90 Pro/Ala Pro/Pro, Ala/Ala Candidate Region/Gene 22985084
    rs429358, rs7412 APOE 0.43 0.0006 114 vs 2071 — Irish >90 e4 e2 Candidate Region/Gene 11470126
    rs3800358 BTBD9 — 0.00541 1173 vs 570 — American 85-100 — T Genome-Wide Association Study 22533364
    rs1974676 Intergenic — 0.00496 1173 vs 570 — American 85-100 — G Genome-Wide Association Study 22533364
    rs1834497 CLSTN2 — 0.00979 1173 vs 570 — American 85-100 — A Genome-Wide Association Study 22533364
    rs2590504 KIAA0649 — 0.00854 1173 vs 570 — American 85-100 — C Genome-Wide Association Study 22533364
    rs2024714 CDH4 — 7.43e-05 1173 vs 570 — American 85-100 — C Genome-Wide Association Study 22533364
    rs41383 NLRC5 — 0.00455 1173 vs 570 — American 85-100 — C Genome-Wide Association Study 22533364

    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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