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
    Export results (Download)

    Populations | Study Types | Variant Types


    LVDB_word_cloud.png
    logo.png
    variants.jpg
    polymorphism factor odds ratio pvalue initial number replication number Population age of cases shorter lived allele longer lived allele study type reference
    IVS3nt-167 FASLG — 0.462 50 vs 86 — Italian 100.8 ± 1.8 (100 to 106) — — Candidate Region/Gene 11965496
    - GSTM1 — 0.54 66 vs 150 — Italian 100.19±2.2 (95-105) — — Candidate Region/Gene 15195682
    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
    rs1800896 IL-10 3.00 0.0003 142 vs 153 — Italian Mean age 67 AA GG Candidate Region/Gene 15466015
    rs28969505 YTHDF2 — 0.047 136 vs 275 — Italian Mean age 101 — 15-15 (205 bp) Candidate Region/Gene 16799135
    rs1764391 GJA4 — 0.0035 56 vs 196 (males) — Italian >99 — CC Candidate Region/Gene 16970956
    rs2495513 TMEM61 0.60 8.13e-05 410 vs 553 — Italian 90–109 — — Genome-Wide Association Study 21612516
    rs1538287 KCNH1 0.55 4.87e-05 410 vs 553 — Italian 90–109 — — Genome-Wide Association Study 21612516
    rs6701445 TAF5L 1.84 4.19e-05 410 vs 553 — Italian 90–109 — — Genome-Wide Association Study 21612516
    rs1800871 IL-10 — 0.0026 500 — Japanese 56.7 years; range, 19–100 years TC TT Candidate Region/Gene 16424284
    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
    rs3215173 SHC1 1.60 0.15 230 vs 180 — Japanese Mean age 100.8 +/- 1.5 G/- — Candidate Region/Gene 14530863
    rs970048 Intergenic 1.77 7.17e-07 3746 vs 5912 — Dutch Mean age 94 — G Genome-Wide Association Study 21418511
    rs1776180 EXO1 1.39 0.01 395 vs 411 455 vs 109 French, German Mean age 101.3 G C Candidate Region/Gene 19698732
    rs1801133 MTHFR — 0.06 564 vs. 374 — French mean age 100.71 TT CT, CC Candidate Region/Gene 9106548
    GSTM1 deletion GSTM1 — 1.0 565 vs 229 — French mean 101 — — Candidate Region/Gene 9654200
    - PARP1 — 1.0 239 vs 198 — French >100 — — Candidate Region/Gene 9587069
    rs12050077 TSHR 1.68 0.0001 232 vs 163 — Ashkenazi Jewish Median age 97 G A Candidate Region/Gene 19837933
    rs1801133 MTHFR 6.00 0.014 224 vs 441 — Ashkenazi Jewish 75 T C Candidate Region/Gene 15621215
    AGT AGT — 1.0 224 vs 441 — Ashkenazi Jewish 75 — — Candidate Region/Gene 15621215
    rs1801133 MTHFR — 0.029 (150 m, 74 f) vs (121 m, 320 f) — Ashkenazi Jewish Mean age 75 — C Candidate Region/Gene 15621215
    - F5 — 0.045 (150 m, 74 f) vs (121 m, 320 f) — Ashkenazi Jewish Mean age 75 A — Candidate Region/Gene 15621215
    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

    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

    Suggest a new study Report a database issue