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


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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
    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
    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
    rs699947-(−1190G/A)-rs1570360-(−634G/C) VEGFA — 0.03 — 332 vs 648 Italian 85-99 (mean 89.8±2.8) non A-A-G-G haplotypes A-A-G-G Candidate Region/Gene 17574707
    rs2107538-rs2280789 RANTES — 0.04 104 vs 110 — Spaniard Mean age 89.6 non G-C haplotypes G-C Candidate Region/Gene 22265023
    e4 APOE — 0.04 376 vs 376 — Canadian 85+ e4 — Candidate Region/Gene 24126160
    e4 APOE 0.35 0.001 729 vs 498 — Japanese 100+ e4 — Candidate Region/Gene 24534555
    APOE polymorphism APOE 0.38 0.002 200 (cases) vs 539 — Italian >88 e4 e2 Candidate Region/Gene 21703254
    Haplogroup J — 0.38 0.025 98 vs 117 — Chinese 90–100 — — Candidate Region/Gene 18759861
    e4 APOE 0.41 0.05 79 vs 597 — Italian 100+ e4 — Candidate Region/Gene 24534555
    rs1061581 - rs1008438 - rs2227956 Hsp70Ba 0.55 0.015 168 cases — Danish Mean age 92.8 +/- 0.4 — G-C-T (haplotype) Candidate Region/Gene 20388090
    e4 APOE 0.55 0.03 163 vs 1039 — Spanish 100+ e4 — Candidate Region/Gene 24534555
    rs1042718-rs1042719 ADRB2 0.63 1.86e-05 384 vs 384 579 vs 644 Chinese Mean age 102.1±0.20 G-C A-C Candidate Region/Gene 23020224
    A-3826G (rs1800592) - C-3740A UCP1 0.81 0.014 236 vs 741 — Italian >91 G-A — Candidate Region/Gene 21827845
    HP*1 F/S HP 0.82 0.33 1072 total — Italian >88 — — Candidate Region/Gene 21147083
    HP 1/2 HP 1.27 0.0194 1072 total — Italian >88 HP*2 HP*1 Candidate Region/Gene 21147083
    rs915179-rs2485662-rs4641-rs1468772 LMNA 1.56 2.5e-05 873 vs 443 New England Centenarian Study (NECS) (N = 738), (ii) the Southern Italian Centenarian Study (SICS) (N = 905), (iii) France (N = 1103), and (iv) the Einstein Ashkenazi Longevity Study (N = 702) American, Caucasian Mean age 101.5 — GTCT Candidate Region/Gene 22340368
    APOE polymorphism APOE 3.26 0.001 64 vs 1344 — Italian 100+ e4 e2 Candidate Region/Gene 16960022
    REN polymorphism - mtDNA mtDNA 3.27 0.006 157 — Italian 100+ — REN10 - mtDNA haplogroup H Candidate Region/Gene 11938442
    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

    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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