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
    - IGF2 0.05 see notes; stratified by population; total = 1321 cases versus 1140 controls French, German, Italian centenarians; see notes - 19367319
    A/G IGF2 0.063 (150 m, 74 f) vs (121 m, 320 f) Ashkenazi Jewish Mean age 75 A, AA Candidate Region/Gene 15621215
    HUMTHO1.STR TH 0.85 0.005 210 vs 755 Italian 100+ 10* (imperfect allele 10) Candidate Region/Gene 12297342
    length (STR polymorphism) TH 1.0 196 vs 358 471 vs 462 German (in replication) 96-110 years Candidate Region/Gene 21407269
    many SNPs TH 0.05 1321 vs 1140 Italian Mean age 101.9 (southern Italian), 101.0 (northern-central Italian), 104.41 (German), 103.1 (French) Candidate Region/Gene 19367319
    - TH 0.05 see notes; stratified by population; total = 1321 cases versus 1140 controls French, German, Italian centenarians; see notes - 19367319
    - TH 0.045 202 vs 170 vs 82 Italian 100-105 (oldest of 3 age groups, see notes) Candidate Region/Gene 11053670
    rs2060793 CYP2R1 0.04 1038 vs 461 Dutch 59.5 years (offspring of nonagerians) A Candidate Region/Gene 23128285
    rs2060793 CYP2R1 0.04 1038 (offspring of nonagenarians who had at least one nonagenarian sibling) vs 461 (offsprings' partners) Dutch Males: >/= 89; Females: >/= 91 Candidate Region/Gene 23128285
    rs3829251 NADSYN1 0.6 1038 vs 461 Dutch 59.5 years (offspring of nonagerians) Candidate Region/Gene 23128285
    rs11235972 UCP3 0.029 908 vs 708 Danish 93 A Candidate Region/Gene 22743239
    rs1685354 UCP3 0.762 908 vs 708 Danish 93 Candidate Region/Gene 22743239
    rs3781907 UCP3 0.05 908 vs 708 Danish 93 G Candidate Region/Gene 22743239
    rs647126 UCP3 0.447 908 vs 708 Danish 93 Candidate Region/Gene 22743239
    rs11235972 UCP3 0.029 908 (1905 Cohort) vs 708 (Study of Middle-Aged Danish Twins (MADT)) Danish 93 A Candidate Region/Gene 22743239
    rs3781907 UCP3 0.05 908 (1905 Cohort) vs 708 (Study of Middle-Aged Danish Twins (MADT)) Danish 93 G Candidate Region/Gene 22743239
    rs507879 CASP5 1.4e-05 510 vs 549 Russian 75–103 AG AA, GG Candidate Region/Gene 20434535
    G477T SIRT3 0.0272 801 Italian 120 subject aged 100 or older GT TT Candidate Region/Gene 14580859
    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
    rs939915 SIRT3 0.0145 2461 samples (cases and controls combined) Italian Candidate Region/Gene 19367319
    - SIRT3 0.145 see notes; stratified by population; total = 1321 cases versus 1140 controls French, German, Italian centenarians; see notes - 19367319
    CTSD CTSD 1.0 224 vs 441 Ashkenazi Jewish 75 Candidate Region/Gene 15621215
    rs11039149 NR1H3 0.015 599 Dutch 85 years haplotype 1 haplotype 2 Candidate Region/Gene 17452725
    HRAS1 3'VNTR HRAS 1.13 0.551 234 vs 467 Italian Minimum age 100 a3 non-a3 Candidate Region/Gene 11943467

    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