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.):


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    Populations | Study Types | Variant Types



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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
    rs2111173 PTPRO 1.74 9.24e-05 410 vs 553 Italian 90–109 Genome-Wide Association Study 21612516
    rs9315385 DCAMKL1 1.74 8.13e-05 410 vs 553 Italian 90–109 Genome-Wide Association Study 21612516
    rs11879589 PVRL2 1.67 0.07601 597 vs 1275 Sichuan 90+ Candidate Region/Gene 24924924
    rs3215173 SHC1 1.60 0.15 230 vs 180 Japanese Mean age 100.8 +/- 1.5 G/- Candidate Region/Gene 14530863
    rs2274471 JAK2 (for males) 1.58 0.088 137 vs 213 Korean Mean age 90 C Genome-Wide Association Study 19641380
    rs6592810 1.54 2.49e-05 410 vs 553 Italian 90–109 Genome-Wide Association Study 21612516
    rs1484583 1.53 7.66e-05 410 vs 553 Italian 90–109 Genome-Wide Association Study 21612516
    rs11237644 1.52 2.11e-05 410 vs 553 Italian 90–109 Genome-Wide Association Study 21612516
    rs3134204 1.51 9.71e-05 410 vs 553 Italian 90–109 Genome-Wide Association Study 21612516
    rs870959 1.51 2.84e-05 410 vs 553 Italian 90–109 Genome-Wide Association Study 21612516
    rs1800795 + (rs429358, rs7412) IL6 + APOE 1.49 0.45 81 vs 122 Italian Mean age 100.1 Candidate Region/Gene 15236771
    rs2228078 GHRHR 1.48 0.21 314 vs 603;279 vs 797;383 vs 363 Caucasian 95.3 ± 2.2_x000D_;+M19994.5 ± 2.1_x000D_;mean 97.7, 95– 129 Candidate Region/Gene 19489743
    rs6540664 1.46 9e-05 410 vs 553 Italian 90–109 Genome-Wide Association Study 21612516
    rs189037 ATM 1.45 0.12 128 vs 150 Italian Mean age 98.7 +/- 5.1 Candidate Region/Gene 22960875
    rs2069762 IL-2 1.43 0.096 168 vs 214 Italian Centenarians G T Candidate Region/Gene 16518704
    -330T/G IL2 1.43 0.096 168 vs 214 Italian >99 Candidate Region/Gene 16518704
    rs11790055 1.38 1.49e-05 763 vs 1085 754 vs 850 German Mean age 99.7 Genome-Wide Association Study 21740922
    rs158869 1.37 4.98e-06 763 vs 1085 754 vs 850 German Mean age 99.7 Genome-Wide Association Study 21740922
    rs10947623 CDKN1A 1.37 0.199 184 vs 184 Italian 100 Candidate Region/Gene 20126416
    rs10959258 1.36 1.86e-05 763 vs 1085 754 vs 850 German Mean age 99.7 Genome-Wide Association Study 21740922
    rs12192827 CDKN1A 1.33 0.242 184 vs 184 Italian 100 Candidate Region/Gene 20126416
    rs3829967 CDKN1A 1.31 0.16 184 vs 184 Italian 100 Candidate Region/Gene 20126416
    rs3753645 SHC1 1.28 0.64 230 vs 180 Japanese Mean age 100.8 +/- 1.5 T Candidate Region/Gene 14530863
    rs3753644 SHC1 1.28 0.64 230 vs 180 Japanese Mean age 100.8 +/- 1.5 T Candidate Region/Gene 14530863
    rs1022427 PTEN 1.28 0.13 336 vs 603;279 vs 797;383 vs 363 Caucasian 95.3 ± 2.2_x000D_;+M19994.5 ± 2.1_x000D_;mean 97.7, 95– 151 Candidate Region/Gene 19489743

    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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