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)  
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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
    rs1008438 HSPA1A — 0.009 894 total — Italian 18-109 A C Candidate Region/Gene 16896546
    rs3763305 BTNL2 1.89 4.51e-05 801 vs 914 — Caucasian Median age 104 G A Genome-Wide Association Study 22279548
    rs2758331 SOD2 1.33 2.92563e-05 801 vs 914 — Caucasian Median age 104 C A Genome-Wide Association Study 22279548
    rs1042663 C2 1.52 0.000169165 801 vs 914 — Caucasian Median age 104 G A Genome-Wide Association Study 22279548
    rs9397084 SYNE1 1.40 0.000104307 801 vs 914 — Caucasian Median age 104 A G Genome-Wide Association Study 22279548
    rs3804474 FLJ33708 1.22 0.000264519 801 vs 914 — Caucasian Median age 104 A G Genome-Wide Association Study 22279548
    rs2242653 BAT5 1.39 0.000314783 801 vs 914 — Caucasian Median age 104 G A Genome-Wide Association Study 22279548
    rs11153598 NT5DC1 1.06 0.00214039 801 vs 914 — Caucasian Median age 104 C A Genome-Wide Association Study 22279548
    rs2269475 AIF1 1.45 0.000435495 801 vs 914 — Caucasian Median age 104 G A Genome-Wide Association Study 22279548
    rs524533 NFKBIE 1.29 0.000732713 801 vs 914 — Caucasian Median age 104 G A Genome-Wide Association Study 22279548
    rs3019435 PARK2 1.41 0.001006354 801 vs 914 — Caucasian Median age 104 C A Genome-Wide Association Study 22279548
    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
    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
    rs1800629 TNF — 0.019 747 — Italian 19-110 A G Candidate Region/Gene 18511747
    -308G/A TNF 0.33 0.001 71 vs 99 — Mexican 86.2 G — Candidate Region/Gene 16269080
    TNF haplotypes TNF — 0.01 60 vs 50 — Bulgarian Age range: 65-99 — −1031 C/C, −863 C/A, −857 C/C, −308 G/G, +489 G/G Candidate Region/Gene 21299522
    rs1327474 IFNGR1 (upstream) 1.07 5.4e-05 5974 (RS), 3267 (CHS), 3136 (FHS), 4511 (ARIC), 3219 (AGES), 902 (inCHIANTI), 620 (BLSA), 1661 (HABC), 1717 (SHIP) Whitehall II - 6000 (UK), English Longitudinal Study of Ageing (UK), Religious Order Study - 1100, Memory and Ageing Project American — T — Genome-Wide Association Study 21782286
    rs1799945 HFE — 0.008 57 vs 60 — Italian 100-105 — — Candidate Region/Gene 12714263
    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
    Ile119Val PCMT1 — 0.049 40 vs 40 — Ashkenazi Jewish Mean age 87.2 — — Candidate Region/Gene 10496068
    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
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    • 25 of 84 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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