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
    rs884949 ADARB2 1.19 0.0911 877 vs 1808 Southern Italian, age 90–109 (median 96): 459 vs 429. Ashkenazi Jewish, age 95–112 (median 100): 299 vs 269. Japanese, age 100-116 (median 106): 470 vs 538. Northern European 96–119 (median: 103) AA 20011587
    rs2805533 ADARB2 0.91 0.1904 877 vs 1808 Southern Italian, age 90–109 (median 96): 459 vs 429. Ashkenazi Jewish, age 95–112 (median 100): 299 vs 269. Japanese, age 100-116 (median 106): 470 vs 538. Northern European 96–119 (median: 103) AA/AG 20011587
    rs2387653 ADARB2 1.17 0.1053 877 vs 1808 Southern Italian, age 90–109 (median 96): 459 vs 429. Ashkenazi Jewish, age 95–112 (median 100): 299 vs 269. Japanese, age 100-116 (median 106): 470 vs 538. Northern European 96–119 (median: 103) AA 20011587
    rs2275075 LMNA 0.54 873 vs 443 New England Centenarian Study: 545 vs 193; French: 557 vs 546; Southern Italian Centenarian Study: 455 vs 450; Ashkenazi Jewish: 354 vs 348 American, Caucasian Mean age 101.5 Candidate Region/Gene 22340368
    rs2338013 0.67 2.07e-06 763 vs 1085 754 vs 850 German Mean age 99.7 Genome-Wide Association Study 21740922
    rs29228 0.68 9.12e-06 763 vs 1085 754 vs 850 German Mean age 99.7 Genome-Wide Association Study 21740922
    rs3129063 0.67 4.33e-06 763 vs 1085 754 vs 850 German Mean age 99.7 Genome-Wide Association Study 21740922
    rs3129046 0.66 2.21e-07 763 vs 1085 754 vs 850 German Mean age 99.7 Genome-Wide Association Study 21740922
    rs1610742 0.66 3.02e-07 763 vs 1085 754 vs 850 German Mean age 99.7 Genome-Wide Association Study 21740922
    rs1610601 0.68 1.98e-06 763 vs 1085 754 vs 850 German Mean age 99.7 Genome-Wide Association Study 21740922
    rs1633063 0.68 3.82e-06 763 vs 1085 754 vs 850 German Mean age 99.7 Genome-Wide Association Study 21740922
    rs11790055 1.38 1.49e-05 763 vs 1085 754 vs 850 German Mean age 99.7 Genome-Wide Association Study 21740922
    rs10959258 1.36 1.86e-05 763 vs 1085 754 vs 850 German Mean age 99.7 Genome-Wide Association Study 21740922
    rs9595687 0.49 2.09e-05 763 vs 1085 754 vs 850 German Mean age 99.7 Genome-Wide Association Study 21740922
    rs1575892 0.45 9.32e-06 763 vs 1085 754 vs 850 German Mean age 99.7 Genome-Wide Association Study 21740922
    rs16947526 0.56 1.23e-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
    rs350450 0.69 6.34e-06 763 vs 1085 754 vs 850 German Mean age 99.7 Genome-Wide Association Study 21740922
    rs740746 ADRB1 0.556 384 vs 384 579 vs 644 Chinese Mean age 102.1±0.20 Candidate Region/Gene 23020224
    rs2053044 ADRB2 0.138 384 vs 384 579 vs 644 Chinese Mean age 102.1±0.20 Candidate Region/Gene 23020224
    rs1042713 ADRB2 0.149 384 vs 384 579 vs 644 Chinese Mean age 102.1±0.20 Candidate Region/Gene 23020224
    rs2877709 ADCY5 0.767 384 vs 384 579 vs 644 Chinese Mean age 102.1±0.20 Candidate Region/Gene 23020224
    rs1042714 ADRB2 0.558 384 vs 384 579 vs 644 Chinese Mean age 102.1±0.20 Candidate Region/Gene 23020224
    rs9861425 ADCY5 0.251 384 vs 384 579 vs 644 Chinese Mean age 102.1±0.20 Candidate Region/Gene 23020224
    rs9844212 ADCY5 0.901 384 vs 384 579 vs 644 Chinese Mean age 102.1±0.20 Candidate Region/Gene 23020224
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    • 25 of 543 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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