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
    T-455C APOC3 0.005 183 vs 110 Russian 70-106 T C Candidate Region/Gene 11193221
    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
    rs11039149 NR1H3 0.015 599 Dutch 85 years haplotype 1 haplotype 2 Candidate Region/Gene 17452725
    G477T SIRT3 0.0272 801 Italian 120 subject aged 100 or older GT TT Candidate Region/Gene 14580859
    rs3781907 UCP3 0.05 908 (1905 Cohort) vs 708 (Study of Middle-Aged Danish Twins (MADT)) Danish 93 G Candidate Region/Gene 22743239
    rs894558 NAV2 1.13 0.004524209 801 vs 914 Caucasian Median age 104 G A Genome-Wide Association Study 22279548
    rs4755936 SYT13 1.19 0.003578524 801 vs 914 Caucasian Median age 104 G A Genome-Wide Association Study 22279548
    rs3842755 INS 1.79 0.0001 1089 vs 736 1613 vs 1104 Danish 92-93 years old C A Candidate Region/Gene 22406557
    rs3842755 INS 1.79 0.0001 1089 vs 736 1613 vs 1104 Danish 92.2–93.8 (mean age 93.2 C Candidate Region/Gene 22406557
    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
    apoAIV(360:His) APOA4 0.005 119 (see notes) vs 264 French 74.29 ∓ 8.46 ApoAIV-1_x000D_, by the order of the sentence - I'm assuming it's Glutamine = G Candidate Region/Gene 9533408
    rs507879 CASP5 1.4e-05 510 vs 549 Russian 75–103 AG AA, GG Candidate Region/Gene 20434535
    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
    APOA1-MspI-RFLP (−75) APOA1 0.016 229 vs 571 Calabrian 81–109 (median 101) A (=Absence) Candidate Region/Gene 12556235
    rs2542052 APOC3 0.0001 Centenarians (n = 213) their offspring (n = 216) vs 258 Ashkenazi Jewish Mean age 98.2 A 16602826
    rs2542052 APOC3 0.0001 213 old vs 216 offspring vs 258 controls Ashkenazi Jewish 100+ A Candidate Region/Gene 16602826
    APOA1-MspI-RFLP A/P alleles APOA1 0.045 413 vs. 571 Italian median age 101 A P Candidate Region/Gene 12556235
    rs11235972 UCP3 0.029 908 (1905 Cohort) vs 708 (Study of Middle-Aged Danish Twins (MADT)) Danish 93 A Candidate Region/Gene 22743239
    rs2542052 APOC3 0.0001 Centenarians (n = 213) their offspring (n = 216) vs 258 Ashkenazi Jewish mean age 98.2 A Candidate Region/Gene 16602826
    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
    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
    rs2542052 APOC3 0.001 213 old vs 216 offspring vs 258 controls Ashkenazi Jewish A Candidate Region/Gene 16602826
    rs2542052 APOC3 0.0001 213 old vs 216 offspring vs 258 controls Ashkenazi Jewish A Candidate Region/Gene 16602826
    rs651922 DCPS 1.19 4.75e-05 801 vs 914 Caucasian Median age 104 A G Genome-Wide Association Study 22279548
    • 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