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
    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
    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
    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*18 HLA-DRB1 — 0.0266 77 vs 299 — 100 — — Candidate Region/Gene 20426625
    C4B1 C4B — 0.05 77 (cases) vs 235 — Italian Mean age 101 — — Candidate Region/Gene 10219002
    rs1008438 HSPA1A 3.86 0.016 168 cases — Danish Mean age 92.8 +/- 0.4 А — Candidate Region/Gene 20388090
    rs1061581 HSPA1B 2.76 0.039 168 cases — Danish Mean age 92.8 +/- 0.4 А — Candidate Region/Gene 20388090
    rs2234693 - rs2234693 ESR1 — 0.12 108 vs 85 — Italian 90+ — — Candidate Region/Gene 20819792
    rs9340799 ESR1 — 0.22 108 vs 85 — Italian 90+ — — Candidate Region/Gene 20819792
    rs1800629 TNF — 0.019 747 — Italian 19-110 A G Candidate Region/Gene 18511747
    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
    rs9456497 IGF2R 1.42 0.005 1089 vs 736 1613 vs 1104 Danish 92-93 years old A G Candidate Region/Gene 22406557
    rs9456497 IGF2R 1.42 0.005 1089 vs 736 1613 vs 1104 Danish 92.2–93.8 (mean age 93.2) A — Candidate Region/Gene 22406557
    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
    rs1799945 HFE — 0.008 57 vs 60 — Italian 100-105 — — Candidate Region/Gene 12714263
    rs2253310 FOXO3 1.35 7.9e-05 761 vs 1056 350 vs 350 Chinese mean age 102.3 C G Candidate Region/Gene 19793722
    rs2802292 FOXO3 1.36 2.9e-05 761 vs 1056 350 vs 350 Chinese mean age 102.3 G T Candidate Region/Gene 19793722
    rs4946936 FOXO3 1.40 1.8e-05 761 vs 1056 350 vs 350 Chinese mean age 102.3 T C Candidate Region/Gene 19793722
    rs1801270 CDKN1A 0.44 0.02 184 vs 184 — Italian 100 A C Candidate Region/Gene 20126416

    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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