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 type: + -

  • 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
    rs1002149 GSR 0.71 0.0335 1089 vs 736 1613 vs 1104 Danish 92-93 years old A C Candidate Region/Gene 22406557
    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
    rs572169 GHSR 0.72 0.0045 1089 vs 736 1613 vs 1104 Danish 92-93 years old A G Candidate Region/Gene 22406557
    rs9456497 IGF2R 1.42 0.005 1089 vs 736 1613 vs 1104 Danish 92-93 years old A G 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
    rs13251813 WRN 1.84 0.0002 1089 vs 736 1613 vs 1104 Danish 92-93 years old G A Candidate Region/Gene 22406557
    rs1805329 RAD23B 0.72 0.0309 1089 vs 736 1613 vs 1104 Danish 92-93 years old A G Candidate Region/Gene 22406557
    rs2953983 POLB 1.60 0.0225 1089 vs 736 1613 vs 1104 Danish 92-93 years old A G Candidate Region/Gene 22406557
    rs3211994 NTLH1 1.99 0.0056 1089 vs 736 1613 vs 1104 Danish 92-93 years old G A Candidate Region/Gene 22406557
    rs1799945 HFE 0.008 57 vs 60 Italian 100-105 Candidate Region/Gene 12714263
    rs4880 SOD2 0.009 224 vs 441 Ashkenazi Jewish 75 C T Candidate Region/Gene 15621215
    rs429358, rs7412 APOE 0.43 0.0006 114 vs 2071 Irish >90 e4 e2 Candidate Region/Gene 11470126
    rs11039149 NR1H3 0.015 599 Dutch 85 years haplotype 1 haplotype 2 Candidate Region/Gene 17452725
    rs978739 TAS2R16 0.62 0.001 348 vs 593 Calabrian Mean age 93.82 non-AA AA Candidate Region/Gene 23133589
    rs1800629 TNF 1.0 174 vs 224 Italian >100 Candidate Region/Gene 12676903
    rs9340799 ESR1 1.0 148 vs 414 Polish mean age 101.1 Candidate Region/Gene 20599431
    rs1801270 CDKN1A 0.44 0.02 184 vs 184 Italian 100 A C Candidate Region/Gene 20126416
    rs1059234 CDKN1A 0.47 0.026 184 vs 184 Italian 100 T C Candidate Region/Gene 20126416
    rs3803304 AKT1 0.99 0.784 2702 vs 1840 Danish, German 92-110 Candidate Region/Gene 22929028
    rs2494731 AKT1 1.03 0.503 2996 vs 1840 Danish, German 92-110 Candidate Region/Gene 22929028
    rs2494738 AKT1 1.03 0.718 2996 vs 1840 Danish, German 92-110 Candidate Region/Gene 22929028
    rs1130214 AKT1 0.97 0.544 2996 vs 1840 Danish, German 92-110 Candidate Region/Gene 22929028
    rs2494732 AKT1 1.04 0.406 2996 vs 1840 Danish, German 92-110 Candidate Region/Gene 22929028

    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