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)   ‑ (1)   Candidate Region/Gene (153)   Meta‑Analysis (30)   Genome‑Wide Association Study (50)   Mitochondrial genome (3)  
  • Variant type: + -
    SNP « 
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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


    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
    rs4686837 ST6GAL1 — 4.6e-05 1364 — American, British Age range 50-108; mean age at death 80.2 G A Genome-Wide Association Study 22445811
    rs6491207 — — 4.63e-05 1364 — American, British Age range 50-108; mean age at death 80.2 T C 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
    rs10491334 CAMK4 0.55 5.29e-05 410 vs 553 116 vs 160 Italian 90–109 — — Genome-Wide Association Study 21612516
    rs11218921 — 0.59 5.47e-05 2202 vs 2164 — Caucasian 100 — — Meta-Analysis 24244950
    rs216148 CSF1R 0.75 6.36e-05 2202 vs 2164 — Caucasian 100 — — Meta-Analysis 24244950
    rs2738679 WWOX 1.60 6.85e-05 2202 vs 2164 — Caucasian 100 — — Meta-Analysis 24244950
    rs1867102 C9orf3 1.20 7.28e-05 2202 vs 2164 — Caucasian 100 — — Meta-Analysis 24244950
    rs1822590 — 1.21 7.57e-05 2202 vs 2164 — Caucasian 100 — — Meta-Analysis 24244950
    rs17702471 GPC6 1.81 8.33e-05 2202 vs 2164 — Caucasian 100 — — Meta-Analysis 24244950
    rs1042663 C2 0.72 8.39e-05 2202 vs 2164 — Caucasian 100 — — Meta-Analysis 24244950
    rs4918255 SORCS1 1.21 8.81e-05 2202 vs 2164 — Caucasian 100 — — Meta-Analysis 24244950
    rs1525501 — 0.81 8.97e-05 2715 vs 2725 — Multiethnic 100 — — Meta-Analysis 24244950
    rs1456669 — 0.78 9.89e-05 2202 vs 2164 — Caucasian 100 — — Meta-Analysis 24244950
    rs2542052 APOC3 — 0.0001 Centenarians (n = 213) their offspring (n = 216) vs 258 — Ashkenazi Jewish Mean age 98.2 A — — 16602826
    rs12050077 TSHR 1.68 0.0001 232 vs 163 — Ashkenazi Jewish Median age 97 G A Candidate Region/Gene 19837933
    rs1207362 KL 0.63 0.0001 1089 vs 736 1613 vs 1104 Danish 92-93 years old A C Candidate Region/Gene 22406557
    rs2267723 GHRHR 0.70 0.0001 1089 vs 736 1613 vs 1104 Danish 92-93 years old G A Candidate Region/Gene 22406557
    rs3842755 INS 1.79 0.0001 1089 vs 736 1613 vs 1104 Danish 92-93 years old C A Candidate Region/Gene 22406557
    rs11571461 RAD52 2.23 0.0001 1089 vs 736 1613 vs 1104 Danish 92-93 years old A G 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
    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
    rs915179 LMNA 1.19 0.0001 2202 vs 2164 — Caucasian 100 — — Meta-Analysis 24244950

    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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