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
    rs7952321 OR5AS1 4.68e-05 1364 American, British Age range 50-108; mean age at death 80.2 T G Genome-Wide Association Study 22445811
    rs7103504 CNTN5 4.39e-05 1364 American, British Age range 50-108; mean age at death 80.2 A G Genome-Wide Association Study 22445811
    rs680109 GRIA4 2.52e-05 1364 American, British Age range 50-108; mean age at death 80.2 C A Genome-Wide Association Study 22445811
    rs4755936 SYT13 1.19 0.003578524 801 vs 914 Caucasian Median age 104 G A Genome-Wide Association Study 22279548
    rs894558 NAV2 1.13 0.004524209 801 vs 914 Caucasian Median age 104 G A Genome-Wide Association Study 22279548
    rs4237774 OR56A1 1.18 0.000637699 801 vs 914 Caucasian Median age 104 A G Genome-Wide Association Study 22279548
    rs7127390 IGSF4 1.13 0.001091248 801 vs 914 Caucasian Median age 104 A G Genome-Wide Association Study 22279548
    rs216493 PLEKHA7 1.10 0.001543457 801 vs 914 Caucasian Median age 104 A G Genome-Wide Association Study 22279548
    rs1470196 KIAA1377 1.33 0.000498694 801 vs 914 Caucasian Median age 104 A G Genome-Wide Association Study 22279548
    rs651922 DCPS 1.19 4.75e-05 801 vs 914 Caucasian Median age 104 A G Genome-Wide Association Study 22279548
    rs4936894 VWA5A 1.11 3.38e-07 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 A Genome-Wide Association Study 21782286
    rs739401 CARS 0.00154 1173 vs 570 American 85-100 C Genome-Wide Association Study 22533364
    rs10502005 MMP20 1.48 2.42e-05 403 vs 1670 3746 vs 5912 Dutch Mean age 94 A Genome-Wide Association Study 21418511
    rs2509049 H2AFX 0.63 0.017 1089 (see notes - follow-up study) 563 (see notes - follow-up study) Danish 92.2–93.8 (mean age 93.2) w/ 11.4 years follow-up A Candidate Region/Gene 22406557
    rs800140 TSPAN32 0.0081 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
    rs4930001 DEAF1 0.010851 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
    rs4073591 DEAF1 0.002618 1600 samples (cases and controls combined) German, Italian Candidate Region/Gene 19367319
    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
    HRAS1 3'VNTR HRAS 1.13 0.551 234 vs 467 Italian Minimum age 100 a3 non-a3 Candidate Region/Gene 11943467
    rs11039149 NR1H3 0.015 599 Dutch 85 years haplotype 1 haplotype 2 Candidate Region/Gene 17452725
    VNTR in intron 5 (GATA3 site) SIRT3 0.025 242 vs 703 Italian Median age 102 2a Candidate Region/Gene 15676284
    VNTR in intron 5 (DeltaEF1 site) SIRT3 8e-05 242 vs 703 Italian Median age 102 2b Candidate Region/Gene 15676284
    G477T SIRT3 0.0272 801 Italian 120 subject aged 100 or older GT TT Candidate Region/Gene 14580859
    • Page 1 of 2
    • 25 of 49 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