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
    rs1800896 - rs1800629 IL10 0.038 174 vs 224 Italian >100 GG-GG (only in men) Candidate Region/Gene 12676903
    HP 1/2 HP 1.27 0.0194 1072 total Italian >88 HP*2 HP*1 Candidate Region/Gene 21147083
    rs2234693 - rs2234693 ESR1 0.12 108 vs 85 Italian 90+ Candidate Region/Gene 20819792
    APOE polymorphism APOE 0.38 0.002 200 (cases) vs 539 Italian >88 e4 e2 Candidate Region/Gene 21703254
    A-3826G (rs1800592) - C-3740A UCP1 0.81 0.014 236 vs 741 Italian >91 G-A Candidate Region/Gene 21827845
    rs3176343-rs3176344-rs3176349-rs1801270 CDKN1A 0.03972 184 vs 184 Italian 100 A-G-G-A non A-G-G-A haplotypes Candidate Region/Gene 20126416
    rs3176343-rs3176344-rs3176349-rs1801270 CDKN1A 0.00394 184 vs 184 Italian 100 non G-G-G-C haplotypes G-G-G-C Candidate Region/Gene 20126416
    rs3176343-rs3176344-rs3176349-rs1801270-rs1059234-rs876581 CDKN1A 0.02249 184 vs 184 Italian 100 A-G-G-A-T-A non A-G-G-A-T-A haplotypes Candidate Region/Gene 20126416
    rs3176343-rs3176344-rs3176349-rs1801270-rs1059234-rs876581 CDKN1A 0.00211 184 vs 184 Italian 100 non G-G-G-C-C-G haplotypes G-G-G-C-C-G Candidate Region/Gene 20126416
    C4B1 C4B 0.05 77 (cases) vs 235 Italian Mean age 101 Candidate Region/Gene 10219002
    rs699947-(−1190G/A)-rs1570360-(−634G/C) VEGFA 0.03 332 vs 648 Italian 85-99 (mean 89.8±2.8) non A-A-G-G haplotypes A-A-G-G Candidate Region/Gene 17574707
    e4 APOE 0.41 0.05 79 vs 597 Italian 100+ e4 Candidate Region/Gene 24534555
    D4a mtDNA haplogroups 0.05 112 vs 96 Japanese Minimum age 105 non-D4a D4a Complete Mitochondrial Genome 18545700
    e4 APOE 0.35 0.001 729 vs 498 Japanese 100+ e4 Candidate Region/Gene 24534555
    Cdx2–GATA haplotypes VDR 0.05 923 Dutch Mean age 75.7 GG GA, AA Candidate Region/Gene 21051524
    rs429358, rs7412 APOE 0.025 (150 m, 74 f) vs (121 m, 320 f) Ashkenazi Jewish Mean age 75 e4 e2 Candidate Region/Gene 15621215
    apoE haplotypes APOE 0.013 35 old vs 71 young vs 54 MI patients Chinese 90 apoE4 ApT4 Candidate Region/Gene 11780357
    apoE haplotypes APOE 0.013 35 old vs 71 young vs 54 MI patients Chinese 90 apoE4 Candidate Region/Gene 11780357
    9 mtDNA haplogroups mtDNA haplogroup 0.38 0.025 98 vs. 117 Chinese 90-100 years old J non-J - 18759861
    Haplogroup J 0.38 0.025 98 vs 117 Chinese 90–100 Candidate Region/Gene 18759861
    4491A,3705G,10400T mtDNA 0.027 463 vs 1389 Chinese >/=95 Mitochondrial Haplogroup 19641616
    5417A,10873T mtDNA 0.018 463 vs 1389 Chinese >/=95 Mitochondrial Haplogroup 19641616
    12358G,5417A,10873T mtDNA 0.058 463 vs 1389 Chinese >/=95 Mitochondrial Haplogroup 19641616
    rs1042718-rs1042719 ADRB2 0.63 1.86e-05 384 vs 384 579 vs 644 Chinese Mean age 102.1±0.20 G-C A-C Candidate Region/Gene 23020224
    rs1061581-rs1043618-rs2227956 3.46 0.025 191 vs 53 Chinese >90 non A-G-C or non A-C-T haplotypes A-G-C Candidate Region/Gene 19840767
    • Page 1 of 2
    • 25 of 39 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