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
    Not specified REN 0.029 157 vs 218 Italian Centenarians 11 Candidate Region/Gene 15105583
    rs189037 ATM 1.85 0.028 128 vs 150 Italian - 22960875
    VNTR (Variable Number of Tandem Repeats) APOB 0.003 143 vs 158 Italian mean age is 102 years 35 or more tandem repeats Candidate Region/Gene 9050915
    - TH 0.045 202 vs 170 vs 82 Italian 100-105 (oldest of 3 age groups, see notes) Candidate Region/Gene 11053670
    3' 28-base pair variable number tandem repeat (HRAS1 3'VNTR) HRAS 1.13 0.002 234 vs 467 Italian centenarians a3 allele (see notes) Candidate Region/Gene 11943467
    (A/C)−110 HSP70-1 0.40 0.005 120 vs 471 Italian 100 years and above A Candidate Region/Gene 14501185
    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
    rs1042522 TP53 0.006 503 vs 569 Italian >81 R Candidate Region/Gene 23125046
    rs4073591 DEAF1 0.002618 1600 samples (cases and controls combined) German, Italian Candidate Region/Gene 19367319
    rs4073590 DEAF1 0.004259 1600 samples (cases and controls combined) German, Italian Candidate Region/Gene 19367319
    rs11040489 KRTAP5-6 0.005869 1600 samples (cases and controls combined) German, Italian Candidate Region/Gene 19367319
    rs800140 TSPAN32 0.0081 1600 samples (cases and controls combined) German, Italian Candidate Region/Gene 19367319
    rs16928120 0.00057 1600 samples (cases and controls combined) German, Italian Candidate Region/Gene 19367319
    rs10491334 CAMK4 0.55 5.29e-05 410 vs 553 116 vs 160 Italian 90–109 Genome-Wide Association Study 21612516
    HinfI347 APOA4 0.05 71 vs 100 Italian mean102.3 years Candidate Region/Gene 9622284
    VNTR in intron 5 (DeltaEF1 site) SIRT3 8e-05 242 vs 703 Italian Median age 102 2b Candidate Region/Gene 15676284
    VNTR in intron 5 (GATA3 site) SIRT3 0.025 242 vs 703 Italian Median age 102 2a Candidate Region/Gene 15676284
    e4 APOE 0.41 0.05 79 vs 597 Italian 100+ e4 Candidate Region/Gene 24534555
    rs2297518 NOS2 0.066 321 vs 442 Italian 89-107 Candidate Region/Gene 23572278
    MNS16A TERT 0.75 0.019 200 vs 539 Italian 88+ MNS16A*L Candidate Region/Gene 23562826
    rs1879417 0.018 321 vs 442 Italian 89-107 Candidate Region/Gene 23572278
    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
    VNTR polymorphism IL6 0.56 0.07 61 centenarians and 94 middle-aged subjects Italian 100 years vs. 52 years Candidate Region/Gene 17506774
    rs4930001 DEAF1 0.010851 1600 samples (cases and controls combined) German, Italian Candidate Region/Gene 19367319
    HUMTHO1 (STR), haplogroups THO, mtDNA 0.045 202 (55m, 145 f) vs 82 (43 m, 39 f) Italian 100-105 Long alleles + U haplogroup Candidate Region/Gene 11053670
    • Page 1 of 4
    • 25 of 84 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