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 (344)   No Age Effect (382)  
  • Study type: + -
    Candidate Region/Gene « 
  • Variant type: + -
    SNP (375)   Locus (3)   Haplotype (53)   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


    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
    SI000565Q APOB — 0.001 191 (case) vs 53 — Chinese > 90 baseline, Mean age 97 +/- 3 — LL Candidate Region/Gene 17393087
    rs11279109 - APOB XbaI APOB — 0.001 191 (case) vs 53 (initial) — Chinese > 90 baseline, Mean age 97 +/- 3 — D - X+ Candidate Region/Gene 17393087
    -308G/A TNF 0.33 0.001 71 vs 99 — Mexican 86.2 G — Candidate Region/Gene 16269080
    rs479744 FOXO3 1.40 0.001 388 vs 371 535 vs 553 German mean age 98.4 years — — Candidate Region/Gene 19196970
    rs1544410-rs17878969 VDR 15.30 0.001 104 vs 114 — Caucasian, Spaniard >85 non G-S haplotypes G-S Candidate Region/Gene 20407924
    rs429358, rs7412 APOE — 0.001 179 vs 615 — Finn Mean age 100 e4 e2, e3 Candidate Region/Gene 8018664
    rs2542052 APOC3 — 0.001 213 old vs 216 offspring vs 258 controls — Ashkenazi Jewish — A — Candidate Region/Gene 16602826
    rs7843014 — 0.37 0.001 175 vs 355 — Spanish 100-111 A C Candidate Region/Gene 24930376
    rs7460 PTK2 0.40 0.001 175 vs 355 — Spanish 100-111 A T Candidate Region/Gene 24930376
    e4 APOE 0.35 0.001 729 vs 498 — Japanese 100+ e4 — Candidate Region/Gene 24534555
    rs2251101 IDE 1.88 0.0011 829 vs 1033 — Australian, Caucasian Mixed — — Candidate Region/Gene 18448515
    rs282070 MAP3K7 — 0.0011 288 vs 554 — Calabrian 90+, median 92 G — Candidate Region/Gene 22576335
    rs2940923 GHR 1.21 0.0013 306 vs 603;279 vs 797;383 vs 363 — Caucasian 95.3 ± 2.2_x000D_;+M19994.5 ± 2.1_x000D_;mean 97.7, 95– 121 — — Candidate Region/Gene 19489743
    rs2111699 GSTZ1 — 0.0014 288 vs 554 — Calabrian 90+, median 92 A — Candidate Region/Gene 22576335
    HRAS1 LASS1 (CCT) APOE — 0.00197 125 vs 163 — American — — — Candidate Region/Gene 20569235
    APOE polymorphism APOE 0.38 0.002 200 (cases) vs 539 — Italian >88 e4 e2 Candidate Region/Gene 21703254
    HLA-A phenotype HLA-A 1.95 0.002 201 vs 211 — Chinese 22 centenarians + 179 nonagenarians (mean age 93 ±1.04) A9 A30 Candidate Region/Gene 9147371
    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
    rs4880 SOD2 0.91 0.002 1650 — Danish All danes born in 1905 (Danish 1905 cohort) T — Candidate Region/Gene 19428448
    rs770087 DUSP6 1.53 0.002 386 vs 410 541 vs 469 German 100 to 110, mean age = 101.3 C — Candidate Region/Gene 20800603
    rs2075650 TOMM40 0.70 0.002 2307 vs 764 — American, Danish Mean age 60.2 G A Candidate Region/Gene 23040522
    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
    rs1800871 IL-10 — 0.0026 500 — Japanese 56.7 years; range, 19–100 years TC TT Candidate Region/Gene 16424284
    rs4073591 DEAF1 — 0.002618 1600 samples (cases and controls combined) — German, Italian — — — Candidate Region/Gene 19367319
    HMOX1 (GT)_n repeats HMOX1 0.56 0.0027 108 vs 154 — Japanese Mean age 80.5 33 < repeats — Candidate Region/Gene 12566526

    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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