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 « 
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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
    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
    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
    rs1801282 PPARG — 0.035 222 vs 250 — Caucasian 86 to 109; median age 99 G — Candidate Region/Gene 15236769
    rs1805097 IRS2 2.07 0.04 144 vs 418 — Caucasian 85 to 104, mean age = 96 ± 4 C — Candidate Region/Gene 19887537
    rs12978931 PVRL2 1.15 0.0445 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
    rs395908 PVRL2 0.81 0.048 597 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
    rs2075650 TOMM40 1.43 0.006 597 vs 1275 418 vs 450 Sichuan 90+ — — Candidate Region/Gene 24924924
    rs1137100 LEPR — 0.026 128 vs 414 — Polish 100+ AA — Candidate Region/Gene 24549597
    rs1879417 — — 0.018 321 vs 442 — Italian 89-107 — — Candidate Region/Gene 23572278
    rs2297518 NOS2 — 0.066 321 vs 442 — Italian 89-107 — — Candidate Region/Gene 23572278
    rs12778366 SIRT1 0.69 0.025 1390 — Dutch 36 to 79 — — Candidate Region/Gene 23505545
    rs1799945 HFE — 0.008 57 vs 60 — Italian 100-105 — — Candidate Region/Gene 12714263
    rs4930001 DEAF1 — 0.010851 1600 samples (cases and controls combined) — German, Italian — — — Candidate Region/Gene 19367319
    rs189037 ATM 1.85 0.037 67 vs 61 — Italian Centenarians — — Candidate Region/Gene 22960875
    rs9340799 ESR1 — 0.22 108 vs 85 — Italian 90+ — — Candidate Region/Gene 20819792
    rs1042522 TP53 0.88 0.005 9219 participants (Copenhagen City Heart Study) — Danish Range: 20-95 G — Candidate Region/Gene 18256523
    rs1008438 HSPA1A 3.86 0.016 168 cases — Danish Mean age 92.8 +/- 0.4 А — Candidate Region/Gene 20388090
    rs1061581 HSPA1B 2.76 0.039 168 cases — Danish Mean age 92.8 +/- 0.4 А — Candidate Region/Gene 20388090
    rs3892097, rs35742686, rs1135824, rs35742686 CYP2D6 1.36 0.05 240 vs 325 — Danish 95 and over CYP2D6*1 — Candidate Region/Gene 9754988
    rs3928306 MT-RNR2 0.49 0.027 98 vs 117 — Chinese 90–100 A — Candidate Region/Gene 18759861
    rs28359172 MT-ND5 0.30 0.003 98 vs 117 — Chinese 90–100 G — Candidate Region/Gene 18759861
    • Page 1 of 7
    • 25 of 153 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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