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


    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
    rs2301582 NALP1 1.30 0.011 386 vs 410 541 vs 469 German 100 to 110, mean age = 101.3 C — Candidate Region/Gene 20800603
    rs1042522 TP53 0.57 0.006 100 very old vs 280 old vs 189 young — Italian 91+, 73-91 P — Candidate Region/Gene 23125046
    indel ACE1 — 0.05 82 vs 252 — Italian Mean age 100 +/- 2 — — Candidate Region/Gene 12954489
    Msp1 restriction fragment length polymorphism in intron 6 (G/A) TP53 — 0.65 66 vs 150 — Italian 100.19±2.2 (95-105) — — Candidate Region/Gene 15195682
    rs1042522 TP53 — 0.85 66 vs 150 — Italian 100.19±2.2 (95-105) — — Candidate Region/Gene 15195682
    16 bp duplication in intron 3 (WT=no duplicaiton) TP53 — 0.59 66 vs 150 — Italian 100.19±2.2 (95-105) — — Candidate Region/Gene 15195682
    rs1042522 TP53 — 0.006 503 vs 569 — Italian >81 R — Candidate Region/Gene 23125046
    rs4594173 MADMC1 1.94 9.81e-05 410 vs 553 — Italian 90–109 — — Genome-Wide Association Study 21612516
    rs2277472 MAMDC1 1.95 7.93e-05 410 vs 553 — Italian 90–109 — — Genome-Wide Association Study 21612516
    rs6504441 PRKCA 0.60 2.87e-06 410 vs 553 — Italian 90–109 — — Genome-Wide Association Study 21612516
    1/s 5HTT — 0.05 265 vs 225 — Japanese 101.2 S — Candidate Region/Gene 16095668
    GH1 "intron SNP" GH1 — 0.019 866 — Dutch Minimum age 85 — — Candidate Region/Gene 15771611
    rs4340 ACE 1.90 0.001 300 vs 160 — French 100+ I D Candidate Region/Gene 8136829
    rs1799752 ACE — 0.025 394 vs 238 — French 100.6 years Insertion — Candidate Region/Gene 9761238
    I/D (insertion/deletion) ACE — 0.33 560 vs 560 — French centenarians 100th year or beyond, mean age 103.1 — — Candidate Region/Gene 11280044
    TP53 TP53 — 1.0 224 vs 441 — Ashkenazi Jewish 75 — — Candidate Region/Gene 15621215
    SLC6A4 SLC6A4 — 1.0 224 vs 441 — Ashkenazi Jewish 75 — — Candidate Region/Gene 15621215
    rs1799752 ACE — 0.016 12 vs 190 vs 105 — Greek 99-111 D I Candidate Region/Gene 23389097
    rs4646994 ACE — 0.04 227 Uighur individuals, 108 Kazakh individuals, and 89 Han individuals — Chinese Old: 59-70, Very old 90-113 I (insertion) — Candidate Region/Gene 11773214
    rs4646994 ACE — 0.05 4000 — Chinese Minimum age 65 DD — Candidate Region/Gene 22456784
    rs4646994 ACE — 0.849 399 vs 302 — Chinese >90 years — — Candidate Region/Gene 19502260
    mt5178A ND2 — 0.05 95 vs 105 — Chinese Mean age 76 — АА Candidate Region/Gene 12384792
    ACE D/I ACE — 0.02 689 — Danish Minimum age 73 II DI, DD Candidate Region/Gene 12547486
    rs1042522 TP53 0.88 0.005 9219 participants (Copenhagen City Heart Study) — Danish Range: 20-95 G — Candidate Region/Gene 18256523
    5-HTTLPR SLC6A4 — 0.03 15 male, 53 female centenarians (cases) — Australian, Caucasian 101.0 ± 0.2 L/L (only for males) — Candidate Region/Gene 22985157
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    • 25 of 36 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

    Suggest a new study Report a database issue