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
    - GSTM1 0.74 94 vs 418 Italian 100 years vs 46 years - 11162685
    rs915179-rs2485662-rs4641-rs1468772 LMNA 1.56 2.5e-05 873 vs 443 New England Centenarian Study (NECS) (N = 738), (ii) the Southern Italian Centenarian Study (SICS) (N = 905), (iii) France (N = 1103), and (iv) the Einstein Ashkenazi Longevity Study (N = 702) American, Caucasian Mean age 101.5 GTCT Candidate Region/Gene 22340368
    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
    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
    rs12129750 VPS13D 1.06 0.007897685 801 vs 914 Caucasian Median age 104 A G Genome-Wide Association Study 22279548
    rs6657655 LYST 1.09 0.000883462 801 vs 914 Caucasian Median age 104 A G Genome-Wide Association Study 22279548
    rs2032563 CAMTA1 1.30 0.000401784 801 vs 914 Caucasian Median age 104 A G Genome-Wide Association Study 22279548
    rs10489436 H6PD 1.06 0.000883064 801 vs 914 Caucasian Median age 104 A G Genome-Wide Association Study 22279548
    mtDNA haplogroups mtDNA 7.56 0.0015 74 vs 187 Amish >80 years non-X X Mitochondrial Haplogroup 21750925
    mtDNA haplogroups mtDNA 0.40 0.0003 74 vs 187 Amish >80 years J non-J Mitochondrial Haplogroup 21750925
    Met410Val SHC1 0.192 730 563 Human 85+ Met Candidate Region/Gene 15036421
    - GSTM1 0.54 66 vs 150 Italian 100.19±2.2 (95-105) Candidate Region/Gene 15195682
    IL10 haplotypes IL10 0.05 60 vs 60 Bulgarian Age range: 65-99 −1082G, −819C, -592C Candidate Region/Gene 21299522
    STR variation CSF1TPO 0.003 60 vs 250 Chinese >90 low variation in STRs high variation in STRs - 20582731
    rs2769255 KCNQ4 (upstream) 1.08 5.17e-06 5974 (RS), 3267 (CHS), 3136 (FHS), 4511 (ARIC), 3219 (AGES), 902 (inCHIANTI), 620 (BLSA), 1661 (HABC), 1717 (SHIP) Whitehall II - 6000 (UK), English Longitudinal Study of Ageing (UK), Religious Order Study - 1100, Memory and Ageing Project American T Genome-Wide Association Study 21782286
    GSTM1 deletion GSTM1 1.0 565 vs 229 French mean 101 Candidate Region/Gene 9654200
    rs1801133 MTHFR 0.06 564 vs. 374 French mean age 100.71 TT CT, CC Candidate Region/Gene 9106548
    rs1764391 GJA4 0.0035 56 vs 196 (males) Italian >99 CC Candidate Region/Gene 16970956
    rs1800871 IL-10 0.0026 500 Japanese 56.7 years; range, 19–100 years TC TT Candidate Region/Gene 16424284
    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
    rs1061170 CFH 1.78 0.005 491 with follow-up during 4 years Finn >90 TT Candidate Region/Gene 19000922
    • 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