Denigma

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 effect: + -
    Longevity‑Associated « 
  • Study type: + -
    GWAS (2)   ‑ (8)   Candidate Region/Gene (344)   Meta‑Analysis (30)   Complete Mitochondrial Genome (1)   Genome‑Wide Association Study (607)   Mitochondrial Haplogroup (7)   Mitochondrial genome (3)  
  • Variant type: + -
    SNP (243)   Locus (3)   Haplotype (39)   STR (3)   Deletion (1)   CNV (1)    (1)   VNTR (1)  
    • 1 2 3 4 5 6 7 8 9 10 11 12
    13 14 15 16 17 18 19 20 21 X Y MT
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    Populations | Study Types | Variant Types


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    variants.jpg
    polymorphism factor odds ratio pvalue initial number replication number Population age of cases shorter lived allele longer lived allele study type reference
    rs1059234 CDKN1A 0.47 0.026 184 vs 184 — Italian 100 T C Candidate Region/Gene 20126416
    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
    rs1061581-rs1043618-rs2227956 — 4.51 0.016 191 vs 53 — Chinese >90 non A-G-C or non A-C-T haplotypes A-C-T Candidate Region/Gene 19840767
    HLA-A phenotype HLA-A 1.95 0.002 201 vs 211 — Chinese 22 centenarians + 179 nonagenarians (mean age 93 ±1.04) A9 A30 Candidate Region/Gene 9147371
    HLA-C phenotype HLA-C 0.49 0.02 201 vs 211 — Chinese >93 Cw3, Cw6. Cw7 — Candidate Region/Gene 9147371
    rs2764264 FOXO3 — 0.0002 213 vs 402 — Japanese minimum 95; mean 97.9 T — Candidate Region/Gene 18765803
    rs13217795 FOXO3 — 0.0006 213 vs 402 — Japanese minimum 95; mean 97.9 T — Candidate Region/Gene 18765803
    rs2802292 FOXO3 — 0.0001 213 vs 402 — Japanese minimum 95; mean 97.9 T — Candidate Region/Gene 18765803
    rs4880 SOD2 — 0.009 224 vs 441 — Ashkenazi Jewish 75 C T Candidate Region/Gene 15621215
    rs282070 MAP3K7 — 0.0011 288 vs 554 — Calabrian 90+, median 92 G — Candidate Region/Gene 22576335
    rs1935949 FOXO3A 1.46 0.019 299 vs 603;279 vs 797;383 vs 363 — Caucasian 95.3 ± 2.2_x000D_;+M19994.5 ± 2.1_x000D_;mean 97.7, 95– 114 T — Candidate Region/Gene 19489743
    rs2153960 FOXO3A 1.16 0.019 300 vs 603;279 vs 797;383 vs 363 — Caucasian 95.3 ± 2.2_x000D_;+M19994.5 ± 2.1_x000D_;mean 97.7, 95– 115 — — Candidate Region/Gene 19489743
    rs3778588 FOXO3A 1.22 0.023 301 vs 603;279 vs 797;383 vs 363 — Caucasian 95.3 ± 2.2_x000D_;+M19994.5 ± 2.1_x000D_;mean 97.7, 95– 116 — — Candidate Region/Gene 19489743
    rs4946935 FOXO3A 1.48 0.018 302 vs 603;279 vs 797;383 vs 363 — Caucasian 95.3 ± 2.2_x000D_;+M19994.5 ± 2.1_x000D_;mean 97.7, 95– 117 A — Candidate Region/Gene 19489743
    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
    HFE C282Y HFE — 7.2e-07 35 vs 106 — 91-105 (< 50 versus >90) C Y Candidate Region/Gene 11857056
    rs648802 PERP 1.29 0.012 386 vs 410 541 vs 469 German 100 to 110, mean age = 101.3 C — Candidate Region/Gene 20800603
    rs2274776 FOXO3 0.95 0.536 388 vs 371 535 vs 553 German mean age 98.4 years — — Candidate Region/Gene 19196970
    rs1571631 FOXO3 0.99 0.872 388 vs 371 535 vs 553 German mean age 98.4 years — — Candidate Region/Gene 19196970
    rs6911407 FOXO3 1.28 0.006 388 vs 371 535 vs 553 German mean age 98.4 years — — Candidate Region/Gene 19196970
    rs768023 FOXO3 1.27 0.007 388 vs 371 535 vs 553 German mean age 98.4 years — — Candidate Region/Gene 19196970
    rs2802288 FOXO3 1.28 0.006 388 vs 371 535 vs 553 German mean age 98.4 years — — Candidate Region/Gene 19196970

    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

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