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: + -

  • 1 2 3 4 5 6 7 8 9 10 11 12
    13 14 15 16 17 18 19 20 21 X Y MT
    Export results (Download)

    Populations | Study Types | Variant Types



    LVDB_word_cloud.png
    logo.png
    variants.jpg
    polymorphism factor odds ratio pvalue initial number replication number Population age of cases shorter lived allele longer lived allele study type reference
    rs1800896 IL10 0.031 119 vs 118 Jordanian Mean age 90.2 G A Candidate Region/Gene 20518833
    G1691A F5 0.004 432 vs 184 Polish Minimum age 95 A G Candidate Region/Gene 20720309
    rs1800871 IL-10 0.0026 500 Japanese 56.7 years; range, 19–100 years TC TT Candidate Region/Gene 16424284
    rs1801274 FCGR2A 1.0 408 vs 446 vs 454 German Centenarians Candidate Region/Gene 16893392
    rs1801133 MTHFR 0.06 564 vs. 374 French mean age 100.71 TT CT, CC Candidate Region/Gene 9106548
    GSTM1 deletion GSTM1 1.0 565 vs 229 French mean 101 Candidate Region/Gene 9654200
    STR variation CSF1TPO 0.003 60 vs 250 Chinese >90 low variation in STRs high variation in STRs - 20582731
    Not specified REN 0.029 157 vs 218 Italian Centenarians 11 Candidate Region/Gene 15105583
    IL10 haplotypes IL10 0.05 60 vs 60 Bulgarian Age range: 65-99 −1082G, −819C, -592C Candidate Region/Gene 21299522
    IL10 haplotypes IL10 0.05 237 vs 90 Turkish Age range: 65-99 −1082G, −819C, −592C Candidate Region/Gene 21299522
    −1082 G/A IL10 0.025 190 vs 260 Italian >99 years old G Candidate Region/Gene 11857058
    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
    rs3215173 SHC1 1.60 0.15 230 vs 180 Japanese Mean age 100.8 +/- 1.5 G/- Candidate Region/Gene 14530863
    F5 G1691A F5 0.002 400 neonates (187 female and 312 male), 184 healthy adults (129 female and 55 male), and 432 long-lived individuals (343 women and 89 men). Polish >95 years versus 44 years - 20720309
    IVS2nt-124 FASLG 0.315 50 vs 86 Italian 100.8 ± 1.8 (100 to 106) Candidate Region/Gene 11965496
    IVS3nt-167 FASLG 0.462 50 vs 86 Italian 100.8 ± 1.8 (100 to 106) Candidate Region/Gene 11965496
    - GSTM1 0.54 66 vs 150 Italian 100.19±2.2 (95-105) Candidate Region/Gene 15195682
    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
    rs2030071 IL12RB2 (for females) 0.18 0.008 137 vs 213 Korean Mean age 90 T Genome-Wide Association Study 19641380
    rs4648884 RUNX3 0.00992 1173 vs 570 American 85-100 T Genome-Wide Association Study 22533364
    rs915179 LMNA 1.34 2.3666e-05 801 vs 914 Caucasian Median age 104 A G Genome-Wide Association Study 22279548
    rs701176 PCNXL2 1.02 4.74e-05 801 vs 914 Caucasian Median age 104 A G Genome-Wide Association Study 22279548
    rs11211037 PLK3 1.24 0.000175183 801 vs 914 Caucasian Median age 104 C A Genome-Wide Association Study 22279548
    rs17044026 ESRRG 1.46 0.001286948 801 vs 914 Caucasian Median age 104 C A Genome-Wide Association Study 22279548
    • Page 1 of 4
    • 25 of 83 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


    Suggest a new study Report a database issue