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 (153)   No Age Effect (209)  
  • Study type: + -
    Candidate Region/Gene « 
  • Variant type: + -
    SNP « 
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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
    rs3745546 INSR — 0.168 122 vs 122 — Japanese mean age 106.8 — — Candidate Region/Gene 15582274
    rs3745548 INSR — 0.057 122 vs 122 — Japanese mean age 106.8 — — Candidate Region/Gene 15582274
    rs2252673 INSR — 0.083 122 vs 122 — Japanese mean age 106.8 — — Candidate Region/Gene 15582274
    rs1799817 INSR — 0.205 122 vs 122 — Japanese mean age 106.8 — — Candidate Region/Gene 15582274
    rs2288404 INSR — 0.277 122 vs 122 — Japanese mean age 106.8 — — Candidate Region/Gene 15582274
    rs1801123 IRS1 — 0.774 122 vs 122 — Japanese mean age 106.8 — — Candidate Region/Gene 15582274
    rs1801278 IRS1 — 0.337 122 vs 122 — Japanese mean age 106.8 — — Candidate Region/Gene 15582274
    rs361072 PIK3CB — 0.829 122 vs 122 — Japanese mean age 106.8 — — Candidate Region/Gene 15582274
    rs2305268 PIK3CB — 0.363 122 vs 122 — Japanese mean age 106.8 — — Candidate Region/Gene 15582274
    rs3779501 PIK3CG — 0.139 122 vs 122 — Japanese mean age 106.8 — — Candidate Region/Gene 15582274
    rs8192678 PPARGC1A — 0.469 122 vs 122 — Japanese mean age 106.8 — — Candidate Region/Gene 15582274
    rs3736265 PPARGC1A — 0.509 122 vs 122 — Japanese mean age 106.8 — — Candidate Region/Gene 15582274
    rs1801282 PPARG — 0.035 222 vs 250 — Caucasian 86 to 109; median age 99 G — Candidate Region/Gene 15236769
    HRAS1 LASS1 (CCT) APOE — 4.1e-05 147 vs 188 — Georgian — — — Candidate Region/Gene 20569235
    rs1042522 TP53 0.57 0.006 100 very old vs 280 old vs 189 young — Italian 91+, 73-91 P — Candidate Region/Gene 23125046
    rs1800896 IL10 3.10 0.0003 142 vs 153 — Mean age 67 AA GG Candidate Region/Gene 15466015
    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
    rs4930001 DEAF1 — 0.010851 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
    rs189037 ATM 1.45 0.12 128 vs 150 — Italian Mean age 98.7 +/- 5.1 — — Candidate Region/Gene 22960875
    rs189037 ATM 1.85 0.037 67 vs 61 — Italian Centenarians — — Candidate Region/Gene 22960875
    rs708272 CETP — 0.068 523 vs 498 — Chinese Mean age 93.4 — — Candidate Region/Gene 22336474
    rs5882 CETP — 0.05 300 vs 320 vs 258 — Ashkenazi Jewish Minimum age 95 AA, AG GG Candidate Region/Gene 15621216

    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