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: + -
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  • Variant type: + -
    SNP (209)   Haplotype (17)   Other (1)   STR (7)   Deletion (1)  
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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
    rs1800629 TNFa — 0.168 See Description for details — Italian Comparison 1: 66-91. Comparison 2: >88 — — Candidate Region/Gene 21865054
    rs361525 TNFa — 0.156 See Description for details — Italian Comparison 1: 66-91. Comparison 2: >88 — — Candidate Region/Gene 21865054
    rs2853826 MT-ND3 — 0.219 98 vs 117 — Chinese 90–100 A — Candidate Region/Gene 18759861
    5178 adenine/cytosine ND2 — 0.363 95 vs 298 — Chinese 76.2±5.0 C — Candidate Region/Gene 12384792
    mt5178A ND2 — 0.05 95 vs 105 — Chinese Mean age 76 — АА Candidate Region/Gene 12384792
    (HLA)-A1, B8, DR3 — — 1.0 93 vs 100 — Irish 80-97 years — — Candidate Region/Gene 12714268
    rs1800629 TNF — 1.0 93 vs 100 — Irish 80-97 years — — Candidate Region/Gene 12714268
    rs909253 TNF — 1.0 93 vs 100 — Irish 80-97 years — — Candidate Region/Gene 12714268
    rs189037 ATM — 0.004 875 vs 886 — Chinese mean 94.6 — CT Candidate Region/Gene 20816691
    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
    indel ACE1 — 0.05 82 vs 252 — Italian Mean age 100 +/- 2 — — Candidate Region/Gene 12954489
    rs1800795 + (rs429358, rs7412) IL6 + APOE 1.49 0.45 81 vs 122 — Italian Mean age 100.1 — — Candidate Region/Gene 15236771
    HRAS1 LASS1 (CGT) APOE — 1e-06 79 vs 88 — American — — — Candidate Region/Gene 20569235
    rs7843014 PTK2 — 1.0 79 vs 316 — Italian 100-104 — — Candidate Region/Gene 24930376
    rs7460 PTK2 — 1.0 79 vs 316 — Italian 100-104 — — Candidate Region/Gene 24930376
    rs356218 SNCA — 0.53 769 total (see notes) — Caucasian >90 (oldest age group) — — Candidate Region/Gene 22912757
    rs17180453 SNCA — 0.63 769 total (see notes) — Caucasian >90 (oldest age group) — — Candidate Region/Gene 22912757
    rs3775423 SNCA — 0.9 769 total (see notes) — Caucasian >90 (oldest age group) — — Candidate Region/Gene 22912757
    rs2736990 SNCA — 0.31 769 total (see notes) — Caucasian >90 (oldest age group) — — Candidate Region/Gene 22912757
    rs2572324 SNCA — 0.41 769 total (see notes) — Caucasian >90 (oldest age group) — — Candidate Region/Gene 22912757
    rs3796661 SNCA — 0.59 769 total (see notes) — Caucasian >90 (oldest age group) — — Candidate Region/Gene 22912757
    rs2737033 SNCA — 0.27 769 total (see notes) — Caucasian >90 (oldest age group) — — Candidate Region/Gene 22912757
    rs9995651 SNCA — 0.98 769 total (see notes) — Caucasian >90 (oldest age group) — — Candidate Region/Gene 22912757
    rs2583959 SNCA — 0.21 769 total (see notes) — Caucasian >90 (oldest age group) — — Candidate Region/Gene 22912757
    rs2737012 SNCA — 0.21 769 total (see notes) — Caucasian >90 (oldest age group) — — Candidate Region/Gene 22912757
    • Page 1 of 16
    • 25 of 382 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