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)  
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    13 14 15 16 17 18 19 20 21 X Y MT
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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
    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
    rs2275075 LMNA — 0.54 873 vs 443 New England Centenarian Study: 545 vs 193; French: 557 vs 546; Southern Italian Centenarian Study: 455 vs 450; Ashkenazi Jewish: 354 vs 348 American, Caucasian Mean age 101.5 — — Candidate Region/Gene 22340368
    rs915179 LMNA 1.34 2.3666e-05 801 vs 914 — Caucasian Median age 104 A G Genome-Wide Association Study 22279548
    rs12050077 TSHR 1.68 0.0001 232 vs 163 — Ashkenazi Jewish Median age 97 G A Candidate Region/Gene 19837933
    rs1776180 EXO1 1.39 0.01 395 vs 411 455 vs 109 French, German Mean age 101.3 G C Candidate Region/Gene 19698732
    rs28969505 YTHDF2 2.19 0.023 137 vs 412 — Italian age 99–109,years, mean age 101 years; 26 men, 111 women — — Candidate Region/Gene 16799135
    rs28969505 YTHDF2 2.19 0.023 137 vs 412 — Italian age 99–109,years, mean age 101 years; 26 men, 111 women — — Candidate Region/Gene 16799135
    rs28969505 YTHDF2 — 0.047 136 vs 275 — Italian Mean age 101 — 15-15 (205 bp) Candidate Region/Gene 16799135
    Not specified REN — 0.029 157 vs 218 — Italian Centenarians 11 — Candidate Region/Gene 15105583
    AGT AGT — 1.0 224 vs 441 — Ashkenazi Jewish 75 — — Candidate Region/Gene 15621215
    M/T235 AGT 0.67 0.53 187 vs 201 — Danish centenarians T — Candidate Region/Gene 11602206
    rs1800896 IL10 3.10 0.0003 142 vs 153 — Mean age 67 AA GG Candidate Region/Gene 15466015
    rs1800896 IL10 — 0.031 119 vs 118 — Jordanian Mean age 90.2 G A Candidate Region/Gene 20518833
    rs1800896 IL10 — 0.019 174 vs 227 — Italian >100 — GG Candidate Region/Gene 12676903
    rs1800896 - rs1800629 IL10 — 0.038 174 vs 224 — Italian >100 — GG-GG (only in men) Candidate Region/Gene 12676903
    rs1800896 IL10 — 0.64 250 vs 400 — Finn >90 — — Candidate Region/Gene 11640949
    IL10 haplotypes IL10 — 0.05 60 vs 60 — Bulgarian Age range: 65-99 — −1082G, −819C, -592C Candidate Region/Gene 21299522
    IL10 haplotypes IL10 — 0.05 237 vs 90 — Turkish Age range: 65-99 — −1082G, −819C, −592C Candidate Region/Gene 21299522
    −1082 G/A IL10 — 0.025 190 vs 260 — Italian >99 years old — G Candidate Region/Gene 11857058
    --1082G-->A IL10 — 0.0001 109 (oldest old men) vs 263 (healthy controls) — Italian >95 A — Candidate Region/Gene 15466015
    rs970048 Intergenic 1.77 7.17e-07 3746 vs 5912 — Dutch Mean age 94 — G Genome-Wide Association Study 21418511
    Met410Val SHC1 — 0.192 730 563 Human 85+ Met — Candidate Region/Gene 15036421
    rs8191979 SHC1 — 0.38 230 vs 180 — Japanese Mean age 100.8 +/- 1.5 — — Candidate Region/Gene 14530863
    rs3753645 SHC1 1.28 0.64 230 vs 180 — Japanese Mean age 100.8 +/- 1.5 T — Candidate Region/Gene 14530863
    rs3753644 SHC1 1.28 0.64 230 vs 180 — Japanese Mean age 100.8 +/- 1.5 T — Candidate Region/Gene 14530863
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    • 25 of 83 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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