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 (39)   No Age Effect (43)  
  • Study type: + -
    ‑ (1)   Candidate Region/Gene (53)   Meta‑Analysis (1)   Complete Mitochondrial Genome (1)   Mitochondrial Haplogroup (31)  
  • Variant type: + -
    Haplotype « 
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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
    HP1/2 common polymorphism HP — 0.05 200 (cases) vs 539 (initial) (initial) — Italian >88 — — Candidate Region/Gene 21703254
    LPA isoform LPA — 0.05 84 (cases) vs 517 — Japanese 80+ Lp(a)F, Lp(a)B — Candidate Region/Gene 11269751
    mtDNA haplogroups mtDNA 7.56 0.0015 74 vs 187 — Amish >80 years non-X X Mitochondrial Haplogroup 21750925
    mtDNA haplogroups mtDNA 0.40 0.0003 74 vs 187 — Amish >80 years J non-J Mitochondrial Haplogroup 21750925
    mtDNA haplogroups mtDNA — 0.027 138 — Spaniard Minimum age 85 non-J J Mitochondrial Haplogroup 18931934
    REN polymorphism - mtDNA mtDNA 3.27 0.006 157 — Italian 100+ — REN10 - mtDNA haplogroup H Candidate Region/Gene 11938442
    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
    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
    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
    rs11279109 - APOB XbaI APOB — 0.001 191 (case) vs 53 (initial) — Chinese > 90 baseline, Mean age 97 +/- 3 — D - X+ Candidate Region/Gene 17393087
    rs11279109 - APOB XbaI - SI000565Q APOB — 0.044 191 (case) vs 53 — Chinese > 90 baseline, Mean age 97 +/- 3 D - X+ - Short I - X+ - Medium; D - X- - Long; D - X- - Medium Candidate Region/Gene 17393087
    rs11279109 - SI000565Q APOB — 0.05 191 (case) vs 53 — Chinese > 90 baseline, Mean age 97 +/- 3 D - S D - M Candidate Region/Gene 17393087
    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
    rs1544410-rs17878969 VDR 15.30 0.001 104 vs 114 — Caucasian, Spaniard >85 non G-S haplotypes G-S Candidate Region/Gene 20407924
    rs1800591-rs61733139 MTTP — 0.61 197 vs 251 — Dutch Mean age 93.8±3.1 — — Candidate Region/Gene 16611701
    rs1800591-rs61733139 MTTP — 0.46 655 vs 244 — Dutch Mean age 87.5±3.1 — — Meta-Analysis 16611701
    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
    rs1800896 - rs1800629 IL10 — 0.038 174 vs 224 — Italian >100 — GG-GG (only in men) Candidate Region/Gene 12676903
    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
    rs2234693 - rs2234693 ESR1 — 0.12 108 vs 85 — Italian 90+ — — Candidate Region/Gene 20819792
    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

    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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