Longevity Variant Database

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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
    rs28969505 YTHDF2 2.19 0.023 137 vs 412 Italian age 99–109,years, mean age 101 years; 26 men, 111 women Candidate Region/Gene 16799135
    APOE4 APOE 0.013 35 vs 125 Chinese 90 years or over High E4 frequency Candidate Region/Gene 11780357
    rs5882 CETP 3.56 0.001 213 vs 258 Ashkenazi Jewish 98,2 +/- 5,3 non-GG GG Candidate Region/Gene 14559957
    APOE4 APOE 0.71 106 vs 349 American 70-79 (duration of study - 7 years) e4 Candidate Region/Gene 16799145
    rs1042522 TP53 0.57 0.006 100 very old vs 280 old vs 189 young Italian 91+ (very old), 73-91 (old) G C Candidate Region/Gene 23125046
    rs1800896 IL10 3.10 0.0003 142 vs 153 Mean age 67 AA GG Candidate Region/Gene 15466015
    apoE haplotypes APOE 0.013 35 old vs 71 young vs 54 MI patients Chinese 90+ apoE4 Candidate Region/Gene 11780357
    Met410Val SHC1 0.192 730 563 Human 85+ Met Candidate Region/Gene 15036421
    rs1887922 IDE 2.02 0.0004 829 vs 1033 Australian, Caucasian Mixed Candidate Region/Gene 18448515
    rs2251101 IDE 1.88 0.0011 829 vs 1033 Australian, Caucasian Mixed Candidate Region/Gene 18448515
    Apo C-I 1>2 Apo C-I 0.05 282 vs 200 British 84+ Apo C-I 2 Candidate Region/Gene 9105559
    2437 T>C HSPA1L 0.01 129 vs 100 Irish 80–97 2437C Candidate Region/Gene 12742533
    rs4646994 ACE 0.04 227 Uighur individuals, 108 Kazakh individuals, and 89 Han individuals Chinese Old: 59-70, Very old 90-113 I (insertion) Candidate Region/Gene 11773214
    FOXO3A, various FOXO3 1.67 0.0002 760 vs 1060 Chinese 100+ Candidate Region/Gene 20884733
    rs1776180 EXO1 1.39 0.01 395 vs 411 455 vs 109 French, German Mean age 101.3 G C Candidate Region/Gene 19698732
    rs2542052 APOC3 0.0001 213 old vs 216 offspring vs 258 controls Ashkenazi Jewish 100+ A Candidate Region/Gene 16602826
    APOE polymorphism APOE 3.26 0.001 64 vs 1344 Italian 100+ e4 e2 Candidate Region/Gene 16960022
    HUMTHO1.STR TH 0.85 0.005 210 vs 755 Italian 100+ 10* (imperfect allele 10) Candidate Region/Gene 12297342
    rs2476601 PTPN22 0.663 225 vs 278 Italian Mean age 93 Candidate Region/Gene 21113673
    rs1333049 0.64 0.001 80 (cases) vs 258 healthy young Human 100–104 C Candidate Region/Gene 20230275
    rs1801133 MTHFR 0.01 108 (patients with CVD) vs 118 Swiss >65 C Candidate Region/Gene 10583447
    K153R MSTN 3.48 0.001 156 vs 384 79 vs 316 Italian, Spaniard 100–111 K Candidate Region/Gene 23354683
    rs5882 CETP 0.318 175 vs 189 Italian 99.6 Candidate Region/Gene 15888337
    (+)2019 del ADIPOQ10 0.05 118 centenarians vs 78 unrelated young Ashkenazi Jewish 95-105 A Del/Del Candidate Region/Gene 18511746
    55 (L/M) PON1 0.94 0.44 308 vs 579 Italian, 296 vs 296 Irish Irish, Italian Italian 100.8 years, Irish 89.8 years Candidate Region/Gene 15050299
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    • 25 of 784 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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