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 « 
  • Study type: + -
    GWAS (2)   ‑ (8)   Candidate Region/Gene (344)   Meta‑Analysis (30)   Complete Mitochondrial Genome (1)   Genome‑Wide Association Study (607)   Mitochondrial Haplogroup (7)   Mitochondrial genome (3)  
  • Variant type: + -
    SNP (243)   Locus (3)   Haplotype (39)   STR (3)   Deletion (1)   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
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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
    rs189037 ATM 1.85 0.028 128 vs 150 — Italian — — — - 22960875
    VNTR (Variable Number of Tandem Repeats) APOB — 0.003 143 vs 158 — Italian mean age is 102 years 35 or more tandem repeats — Candidate Region/Gene 9050915
    HinfI347 APOA4 — 0.05 71 vs 100 — Italian mean102.3 years — — Candidate Region/Gene 9622284
    - TH — 0.045 202 vs 170 vs 82 — Italian 100-105 (oldest of 3 age groups, see notes) — — Candidate Region/Gene 11053670
    3' 28-base pair variable number tandem repeat (HRAS1 3'VNTR) HRAS 1.13 0.002 234 vs 467 — Italian centenarians a3 allele (see notes) — Candidate Region/Gene 11943467
    (A/C)−110 HSP70-1 0.40 0.005 120 vs 471 — Italian 100 years and above A — Candidate Region/Gene 14501185
    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
    rs1042522 TP53 — 0.006 503 vs 569 — Italian >81 R — Candidate Region/Gene 23125046
    GSTT1 deletion GSTT1 — 0.03 94 vs 418 — Italian Mean age 100.2 Not homozygous for d Homozygous for delet Candidate Region/Gene 11162685
    VNTR polymorphism IL6 0.56 0.07 61 centenarians and 94 middle-aged subjects — Italian 100 years vs. 52 years — — Candidate Region/Gene 17506774
    rs1800795 IL-6 — 0.007 323 (cases) vs 377 (initial) — Italian median age = 101 G C Candidate Region/Gene 11500818
    rs675 APOA4 — 0.05 58 vs 100 — Italian Mean age 102,3 — A (NCBI) Candidate Region/Gene 9622284
    APOE polymorphism APOE 0.38 0.002 200 (cases) vs 539 — Italian >88 e4 e2 Candidate Region/Gene 21703254
    rs189037 ATM 1.85 0.037 67 vs 61 — Italian Centenarians — — Candidate Region/Gene 22960875
    rs2229765 IGF-1 — 0.04 222 vs 288 — Italian >85 G A Candidate Region/Gene 19460140
    rs4073591 DEAF1 — 0.002618 1600 samples (cases and controls combined) — German, Italian — — — Candidate Region/Gene 19367319
    rs4073590 DEAF1 — 0.004259 1600 samples (cases and controls combined) — German, Italian — — — Candidate Region/Gene 19367319
    rs11040489 KRTAP5-6 — 0.005869 1600 samples (cases and controls combined) — German, Italian — — — Candidate Region/Gene 19367319
    rs4930001 DEAF1 — 0.010851 1600 samples (cases and controls combined) — German, Italian — — — Candidate Region/Gene 19367319
    rs800140 TSPAN32 — 0.0081 1600 samples (cases and controls combined) — German, Italian — — — Candidate Region/Gene 19367319
    rs16928120 — — 0.00057 1600 samples (cases and controls combined) — German, Italian — — — Candidate Region/Gene 19367319
    HUMTHO1 (STR), haplogroups THO, mtDNA — 0.045 202 (55m, 145 f) vs 82 (43 m, 39 f) — Italian 100-105 Long alleles + U haplogroup — Candidate Region/Gene 11053670
    rs1764391 GJA4 — 0.0035 56 vs 196 (males) — Italian >99 — CC Candidate Region/Gene 16970956
    --1082G-->A IL10 — 0.0001 109 (oldest old men) vs 263 (healthy controls) — Italian >95 A — Candidate Region/Gene 15466015
    epsilon2/3/4 APOE — 0.05 67 vs 125 — Italian 99+ (mean: 100±2) epsilon4 — Candidate Region/Gene 10643896

    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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