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
    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
    APOE polymorphism APOE 0.0001 291 vs 589 Finn Mean age 97.5 e4 e2 Candidate Region/Gene 16487435
    APOE haplotype - rs1346044 APOE 0.0001 175 vs 178 Finn 100.8 e4 e2 Candidate Region/Gene 10069711
    --1082G-->A IL10 0.0001 109 (oldest old men) vs 263 (healthy controls) Italian >95 A Candidate Region/Gene 15466015
    rs2542052 APOC3 0.0001 Centenarians (n = 213) their offspring (n = 216) vs 258 Ashkenazi Jewish mean age 98.2 A Candidate Region/Gene 16602826
    rs2802292 FOXO3 0.0001 213 vs 402 Japanese minimum 95; mean 97.9 T Candidate Region/Gene 18765803
    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
    rs2542052 APOC3 0.0001 213 old vs 216 offspring vs 258 controls Ashkenazi Jewish A Candidate Region/Gene 16602826
    rs2701858, rs9486902 3.23 0.0001 1088 Danish 92+ Candidate Region/Gene 23607278
    rs4746720 SIRT1 2.10 0.0001 223 vs 277 Chinese Average age 93 CC, TT CT Candidate Region/Gene 23450480
    rs3803304 AKT1 0.48 0.00016 294 vs 603;279 vs 797;383 vs 363 Caucasian Mean age 95.3; 94.5; 97.7 C G Candidate Region/Gene 19489743
    FOXO3A, various FOXO3 1.67 0.0002 760 vs 1060 Chinese 100+ Candidate Region/Gene 20884733
    rs13251813 WRN 1.84 0.0002 1089 vs 736 1613 vs 1104 Danish 92-93 years old G A Candidate Region/Gene 22406557
    HLA-DQB1 haplotypes HLA-DQB1 0.0002 120 vs 129 Okinawan Mean age 102.3 +/- 1.9 years non-DQB1*0503 alleles DQB1*0503 Candidate Region/Gene 9389323
    rs8052394 MT1a 2.16 0.0002 151 vs 100 Italian Mean age 91.4 +/- 4.1 A Candidate Region/Gene 16955215
    rs2764264 FOXO3 0.0002 213 vs 402 Japanese minimum 95; mean 97.9 T Candidate Region/Gene 18765803
    rs3800231 FOXO3 1.42 0.0002 388 vs 371 535 vs 553 German mean age 98.4 years Candidate Region/Gene 19196970
    rs13251813 WRN 1.84 0.0002 1089 vs 736 1613 vs 1104 Danish 92.2–93.8 (mean age 93.2 G Candidate Region/Gene 22406557
    rs1800896 IL10 3.10 0.0003 142 vs 153 Mean age 67 AA GG Candidate Region/Gene 15466015
    rs1805097 IRS2 2.03 0.0003 144 vs 418 Italian 85-100 years old non-AA AA Candidate Region/Gene 19887537

    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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