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: + -

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    Populations | Study Types | Variant Types



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    polymorphism factor odds ratio pvalue initial number replication number Population age of cases shorter lived allele longer lived allele study type reference
    rs5882 CETP 3.56 0.001 213 vs 258 Ashkenazi Jewish 98,2 +/- 5,3 non-GG GG Candidate Region/Gene 14559957
    rs1800896 IL10 3.10 0.0003 142 vs 153 Mean age 67 AA GG Candidate Region/Gene 15466015
    rs10149689 TSHR 1.56 0.001 232 vs 163 Ashkenazi Jewish Median age 97 A G Candidate Region/Gene 19837933
    rs12050077 TSHR 1.68 0.0001 232 vs 163 Ashkenazi Jewish Median age 97 G A Candidate Region/Gene 19837933
    rs5882 CETP 0.05 300 vs 320 vs 258 Ashkenazi Jewish Minimum age 95 AA, AG GG Candidate Region/Gene 15621216
    rs1800896 IL10 0.019 174 vs 227 Italian >100 GG Candidate Region/Gene 12676903
    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
    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
    rs4073591 DEAF1 0.002618 1600 samples (cases and controls combined) German, Italian Candidate Region/Gene 19367319
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    • 25 of 153 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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