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 (1027)   No Age Effect (543)  
  • Study type: + -
    GWAS (2)   ‑ (27)   Candidate Region/Gene (784)   Meta‑Analysis (38)   Complete Mitochondrial Genome (2)   Whole‑Genome Linkage Scan (1)   Genome‑Wide Association Study (710)   Mitochondrial Haplogroup (36)   Mitochondrial genome (3)  
  • Variant type: + -
    SNP (572)   Locus (5)   Haplotype (87)   Other (1)   STR (11)   Deletion (5)   CNV (1)    (1)   VNTR (1)  
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    Populations | Study Types | Variant Types


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    polymorphism factor odds ratio pvalue initial number replication number Population age of cases shorter lived allele longer lived allele study type reference
    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
    rs1008438 HSPA1A 3.86 0.016 168 cases — Danish Mean age 92.8 +/- 0.4 А — Candidate Region/Gene 20388090
    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 HSPA1B 2.76 0.039 168 cases — Danish Mean age 92.8 +/- 0.4 А — Candidate Region/Gene 20388090
    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-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
    rs3763305 BTNL2 1.89 4.51e-05 801 vs 914 — Caucasian Median age 104 G A Genome-Wide Association Study 22279548
    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
    FOXO3A, various FOXO3 1.67 0.0002 760 vs 1060 — Chinese 100+ — — Candidate Region/Gene 20884733
    rs1042663 C2 1.52 0.000169165 801 vs 914 — Caucasian Median age 104 G A Genome-Wide Association Study 22279548
    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
    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
    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
    rs2269475 AIF1 1.45 0.000435495 801 vs 914 — Caucasian Median age 104 G A Genome-Wide Association Study 22279548
    rs699947 VEGFA 1.43 0.008 166 vs 324 — Italian 85-99 (mean 89.8±2.8) C A Candidate Region/Gene 17574707
    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
    rs3800231 FOXO3 1.42 0.0002 388 vs 371 535 vs 553 German mean age 98.4 years — — Candidate Region/Gene 19196970
    rs3019435 PARK2 1.41 0.001006354 801 vs 914 — Caucasian Median age 104 C A Genome-Wide Association Study 22279548
    rs4946936 FOXO3 1.40 1.8e-05 761 vs 1056 350 vs 350 Chinese mean age 102.3 T C Candidate Region/Gene 19793722
    rs479744 FOXO3 1.40 0.001 388 vs 371 535 vs 553 German mean age 98.4 years — — Candidate Region/Gene 19196970
    rs9486902 FOXO3 1.40 0.0118 1089 vs 736 — Danish 92–93 C — Candidate Region/Gene 20849522
    rs9397084 SYNE1 1.40 0.000104307 801 vs 914 — Caucasian Median age 104 A G Genome-Wide Association Study 22279548
    −1190G/A VEGFA 1.39 0.014 166 vs 324 — Italian 85-99 (mean 89.8±2.8) G A Candidate Region/Gene 17574707
    rs2242653 BAT5 1.39 0.000314783 801 vs 914 — Caucasian Median age 104 G A Genome-Wide Association Study 22279548
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    • 25 of 121 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

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