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: + -
    SNP (2)  

  • 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
    rs662 PON1 1.06 0.11 Danish, Dutch, French, German, Italian, Tatar >/=80 Candidate Region/Gene 20362697
    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
    HLA-DRB1 13 generic DRB1 alleles HLA-DRB1 1.72 0.01 152 vs 2950 208 vs original 2950 French 100+ and 90+ siblings non-DR7 alleles DR7 Candidate Region/Gene 9425225
    NAT2*5A (C 481 T), NAT2*6A (G 590 A), NAT2*7A (G 857 A), and NAT2*14A (G 191 A) NAT2 1.0 188 vs 88 French mean 101 Candidate Region/Gene 9654200
    - PARP1 1.0 239 vs 198 French >100 Candidate Region/Gene 9587069
    rs4340 ACE 1.90 0.001 300 vs 160 French 100+ I D Candidate Region/Gene 8136829
    APOE e2/e4 APOE 2.00 0.001 300 vs 160 French 100+ e4 e2 Candidate Region/Gene 8136829
    DR7 HLA-DRB1 0.01 325 centenarians versus 229 nonagenarian siblings French 9425225
    DR11 HLA-DRB1 0.01 325 centenarians versus 229 nonagenarian siblings French 9425225
    DR13 HLA-DRB1 0.01 325 centenarians versus 229 nonagenarian siblings French 9425225
    DR7 HLA-DRB1 0.01 325 centenarians versus 229 nonagenarian siblings French - 9425225
    DR11 HLA-DRB1 0.01 325 centenarians versus 229 nonagenarian siblings French - 9425225
    DR13 HLA-DRB1 0.01 325 centenarians versus 229 nonagenarian siblings French - 9425225
    HLA-DRB1 13 generic DRB1 alleles HLA-DRB1 2.03 0.001 336 vs 2950 208 vs original 2950 French 100+ and 90+ siblings non-DR11 alleles DR11 Candidate Region/Gene 9425225
    rs1799752 ACE 0.025 394 vs 238 French 100.6 years Insertion Candidate Region/Gene 9761238
    rs1776180 EXO1 1.39 0.01 395 vs 411 455 vs 109 French, German Mean age 101.3 G C Candidate Region/Gene 19698732
    HLA-DRB1 13 generic DRB1 alleles HLA-DRB1 1.46 0.01 488 vs 2950 208 vs original 2950 French 100+ and 90+ siblings non-DR13 alleles DR13 Candidate Region/Gene 9425225
    CYP2D6*4 CYP2D6 1.0 523 vs 252 French mean 101 Candidate Region/Gene 9654200
    CYP2D6*3 CYP2D6 1.0 552 vs 243 French mean 101 Candidate Region/Gene 9654200
    I/D (insertion/deletion) ACE 0.33 560 vs 560 French centenarians 100th year or beyond, mean age 103.1 Candidate Region/Gene 11280044
    E2 / E3 / E4 APOE 1.2e-08 560 vs 560 French centenarians 100th year or beyond, mean age 103.1 E4 Candidate Region/Gene 11280044
    rs1801133 MTHFR 0.06 564 vs. 374 French mean age 100.71 TT CT, CC Candidate Region/Gene 9106548
    GSTM1 deletion GSTM1 1.0 565 vs 229 French mean 101 Candidate Region/Gene 9654200
    - HRAS1 0.05 see notes; stratified by population; total = 1321 cases versus 1140 controls 1 (specifically for SIRT3 in a French population) French, German, Italian centenarians; see notes - 19367319
    - SIRT3 0.145 see notes; stratified by population; total = 1321 cases versus 1140 controls French, German, Italian centenarians; see notes - 19367319
    • Page 1 of 2
    • 25 of 34 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