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 (31)   No Age Effect (17)  
  • Study type: + -
    Candidate Region/Gene « 
  • Variant type: + -
    Haplotype « 
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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
    APOE polymorphism - HP1/2 common polymorphism APOE — 0.013 200 (cases) vs 539 (initial) — Italian >88 e4-H2 (haplotype) — Candidate Region/Gene 21703254
    HP1/2 common polymorphism HP — 0.05 200 (cases) vs 539 (initial) (initial) — Italian >88 — — Candidate Region/Gene 21703254
    Haplogroup J — 0.38 0.025 98 vs 117 — Chinese 90–100 — — Candidate Region/Gene 18759861
    rs1544410-rs17878969 VDR 15.30 0.001 104 vs 114 — Caucasian, Spaniard >85 non G-S haplotypes G-S Candidate Region/Gene 20407924
    rs11568820-rs4516035-rs10735810-rs1544410-rs17878969 VDR 11.50 0.024 104 vs 114 — Caucasian, Spaniard >85 G-G-C-G-S non G-G-C-G-S haplotypes Candidate Region/Gene 20407924
    A-3826G (rs1800592) - C-3740A UCP1 0.81 0.014 236 vs 741 — Italian >91 G-A — Candidate Region/Gene 21827845
    rs429358, rs7412 APOE — 0.025 (150 m, 74 f) vs (121 m, 320 f) — Ashkenazi Jewish Mean age 75 e4 e2 Candidate Region/Gene 15621215
    rs429358, rs7412 APOE — 0.001 179 vs 615 — Finn Mean age 100 e4 e2, e3 Candidate Region/Gene 8018664
    rs3176343-rs3176344-rs3176349-rs1801270 CDKN1A — 0.03972 184 vs 184 — Italian 100 A-G-G-A non A-G-G-A haplotypes Candidate Region/Gene 20126416
    rs3176343-rs3176344-rs3176349-rs1801270 CDKN1A — 0.9852 184 vs 184 — Italian 100 — — Candidate Region/Gene 20126416
    rs3176343-rs3176344-rs3176349-rs1801270 CDKN1A — 0.1761 184 vs 184 — Italian 100 — — Candidate Region/Gene 20126416
    rs3176343-rs3176344-rs3176349-rs1801270 CDKN1A — 0.1282 184 vs 184 — Italian 100 — — Candidate Region/Gene 20126416
    rs3176343-rs3176344-rs3176349-rs1801270 CDKN1A — 0.00394 184 vs 184 — Italian 100 non G-G-G-C haplotypes G-G-G-C Candidate Region/Gene 20126416
    rs3176343-rs3176344-rs3176349-rs1801270-rs1059234-rs876581 CDKN1A — 0.02249 184 vs 184 — Italian 100 A-G-G-A-T-A non A-G-G-A-T-A haplotypes Candidate Region/Gene 20126416
    rs3176343-rs3176344-rs3176349-rs1801270-rs1059234-rs876581 CDKN1A — 0.8 184 vs 184 — Italian 100 — — Candidate Region/Gene 20126416
    rs3176343-rs3176344-rs3176349-rs1801270-rs1059234-rs876581 CDKN1A — 0.1856 184 vs 184 — Italian 100 — — Candidate Region/Gene 20126416
    rs3176343-rs3176344-rs3176349-rs1801270-rs1059234-rs876581 CDKN1A — 0.139 184 vs 184 — Italian 100 — — Candidate Region/Gene 20126416
    rs3176343-rs3176344-rs3176349-rs1801270-rs1059234-rs876581 CDKN1A — 0.00211 184 vs 184 — Italian 100 non G-G-G-C-C-G haplotypes G-G-G-C-C-G Candidate Region/Gene 20126416
    C4B1 C4B — 0.05 77 (cases) vs 235 — Italian Mean age 101 — — Candidate Region/Gene 10219002
    rs1800591-rs61733139 MTTP — 0.93 164 vs 261 — Dutch Mean age 93.8 ± 3.1 — — Candidate Region/Gene 16611701
    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
    rs1800796-(−373(A)n(T)m)-rs1800795 IL6 — 0.07 1710 total — Danish 47-100 G-(−373(A)8(T)12)-C non G-(−373(A)8(T)12)-C haplotypes Candidate Region/Gene 15130757
    rs2107538-rs2280789 RANTES — 0.04 104 vs 110 — Spaniard Mean age 89.6 non G-C haplotypes G-C Candidate Region/Gene 22265023
    rs2107538-rs2280789 RANTES 4.90 0.03 104 vs 110 — Spaniard Mean age 89.6 non A-T haplotypes A-T Candidate Region/Gene 22265023

    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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