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)  
    • 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


    LVDB_word_cloud.png
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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
    DR13 HLA-DRB1 — 0.01 325 centenarians versus 229 nonagenarian siblings — French — — — - 9425225
    rs4880 SOD2 — 0.009 224 vs 441 — Ashkenazi Jewish 75 C T Candidate Region/Gene 15621215
    Ile119Val PCMT1 — 0.049 40 vs 40 — Ashkenazi Jewish Mean age 87.2 — — Candidate Region/Gene 10496068
    rs4880 SOD2 — 0.009 (150 m, 74 f) vs (121 m, 320 f) — Ashkenazi Jewish Mean age 75 — T Candidate Region/Gene 15621215
    rs3800358 BTBD9 — 0.00541 1173 vs 570 — American 85-100 — T Genome-Wide Association Study 22533364
    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
    rs1485780 CD2AP — 0.604 1364 — American, British Age range 50-108; mean age at death 80.2 C A Candidate Region/Gene 22445811
    rs3757354 MYLIP — 6.4e-05 1345 cohort + 1087 offspring — American — — — Genome-Wide Association Study 17903295
    rs6459623 IBRDC2 — 0.00015 1345 cohort + 1087 offspring — American — — — Genome-Wide Association Study 17903295
    FOXO3A, various FOXO3 1.67 0.0002 760 vs 1060 — Chinese 100+ — — Candidate Region/Gene 20884733
    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
    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
    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
    rs9340799 ESR1 — 1.0 148 vs 414 — Polish mean age 101.1 — — Candidate Region/Gene 20599431
    -351A/G ESR1 — 0.05 148 vs 414 — Polish 99.6-107.2; mean= 101.1±1.2 — — Candidate Region/Gene 20599431
    -397T/C ESR1 — 0.06 149 vs 414 — Polish 99.6-107.2; mean= 101.1±1.3 — — Candidate Region/Gene 20599431
    rs1008438 HSPA1A — 0.005 157 vs 62 — Danish 92.8 A — Candidate Region/Gene 16804002
    rs1061581 HSPA1B — 0.04 157 vs 62 — Danish 92.8 A — Candidate Region/Gene 16804002
    rs9456497 IGF2R 1.42 0.005 1089 vs 736 1613 vs 1104 Danish 92-93 years old A G Candidate Region/Gene 22406557
    rs1008438 HSPA1A — 0.005 157 vs 62 — Danish 92.8 A — Candidate Region/Gene 16804002
    rs1061581 HSPA1L — 0.04 157 vs 62 — Danish 92.8 A — Candidate Region/Gene 16804002

    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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