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: + -
    Candidate Region/Gene « 
  • Variant type: + -
    SNP (153)   Locus (2)   Haplotype (31)   STR (3)   Deletion (1)   CNV (1)    (1)   VNTR (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
    rs4746720 SIRT1 2.10 0.0001 223 vs 277 — Chinese Average age 93 CC, TT CT Candidate Region/Gene 23450480
    rs12778366 SIRT1 0.69 0.025 1390 — Dutch 36 to 79 — — Candidate Region/Gene 23505545
    MNS16A TERT 0.75 0.019 200 vs 539 — Italian 88+ MNS16A*L — Candidate Region/Gene 23562826
    rs2297518 NOS2 — 0.066 321 vs 442 — Italian 89-107 — — Candidate Region/Gene 23572278
    rs1879417 — — 0.018 321 vs 442 — Italian 89-107 — — Candidate Region/Gene 23572278
    rs2701858, rs9486902 — 3.23 0.0001 1088 — Danish 92+ — — Candidate Region/Gene 23607278
    rs4673 — 1.48 0.022 — — Russian — C T Candidate Region/Gene 23755540
    rs11555236 SIRT3 — 0.03 357 — Italian 70+ — T Candidate Region/Gene 23839864
    rs4980329 SIRT3 — 0.02 357 — Italian 70+ — A Candidate Region/Gene 23839864
    e4 APOE — 0.04 376 vs 376 — Canadian 85+ e4 — Candidate Region/Gene 24126160
    rs1333049 CDKN2B-AS1 — 0.088 152 vs 343 — Spanish 100 C G Candidate Region/Gene 24163049
    rs1800624 — — 0.028 28 vs 56 — Caucasian 90+ non-AA AA Candidate Region/Gene 24284407
    C4L*Q0 — — 0.003 700 vs 900 — German 94+ — — Candidate Region/Gene 24465950
    e4 APOE 0.35 0.001 729 vs 498 — Japanese 100+ e4 — Candidate Region/Gene 24534555
    e4 APOE 0.41 0.05 79 vs 597 — Italian 100+ e4 — Candidate Region/Gene 24534555
    e4 APOE 0.55 0.03 163 vs 1039 — Spanish 100+ e4 — Candidate Region/Gene 24534555
    rs1137100 LEPR — 0.026 128 vs 414 — Polish 100+ AA — Candidate Region/Gene 24549597
    rs7799039 LEP — 0.048 128 vs 414 — Polish 100+ — GG Candidate Region/Gene 24549597
    rs2075650 TOMM40 1.43 0.006 597 vs 1275 418 vs 450 Sichuan 90+ — — Candidate Region/Gene 24924924
    rs405509 APOE 1.18 0.027 597 vs 1275 418 vs 450 Sichuan 90+ — — Candidate Region/Gene 24924924
    rs395908 PVRL2 0.81 0.048 597 vs 1275 418 vs 450 Sichuan 90+ — — Candidate Region/Gene 24924924
    rs519825 PVRL2 1.28 0.01577 597 vs 1275 418 vs 450 Sichuan 90+ — — Candidate Region/Gene 24924924
    rs12978931 PVRL2 1.15 0.0445 597 vs 1275 418 vs 450 Sichuan 90+ — — Candidate Region/Gene 24924924
    rs7460 PTK2 0.40 0.001 175 vs 355 — Spanish 100-111 A T Candidate Region/Gene 24930376
    rs7843014 — 0.37 0.001 175 vs 355 — Spanish 100-111 A C Candidate Region/Gene 24930376
    • Page 1 of 14
    • 25 of 344 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

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