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 (263)   No Age Effect (33)  
  • Study type: + -
    Candidate Region/Gene (46)   Genome‑Wide Association Study (257)  
  • Variant type: + -
    SNP (88)   Haplotype (1)  
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    Populations | Study Types | Variant Types


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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
    apoE haplotypes — — 0.0042 3924 — American 5-70 Apo e4 — Candidate Region/Gene 21332925
    rs9282861 SULT1A1 — 0.017 68 vs 49 — American, Caucasian 70-99 — GG Candidate Region/Gene 9854023
    rs1043618 HSP70-A1A — 1.0 347 vs 238 — American, Ashkenazi Jewish Minimum age 100 — — Candidate Region/Gene 17027907
    rs6457452 HSP70-A1B — 1.0 347 vs 238 — American, Ashkenazi Jewish Minimum age 100 — — Candidate Region/Gene 17027907
    APOE4 APOE — 0.71 106 vs 349 — American 70-79 (duration of study - 7 years) e4 — Candidate Region/Gene 16799145
    rs429358, rs7412 APOE 0.75 0.005 2307 vs 764 — American, Danish Mean age 60.2 e4 e2 Candidate Region/Gene 23040522
    rs2075650 TOMM40 0.70 0.002 2307 vs 764 — American, Danish Mean age 60.2 G A Candidate Region/Gene 23040522
    rs2075650 APOE — 0.000527 1364 — American, British Age range 50-108; mean age at death 80.2 C T Candidate Region/Gene 22445811
    rs3764650 ABCA7 — 0.135 1364 — American, British Age range 50-108; mean age at death 80.2 C A Candidate Region/Gene 22445811
    rs610932 MS4A6A — 0.176 1364 — American, British Age range 50-108; mean age at death 80.2 C A Candidate Region/Gene 22445811
    rs3851179 PICALM — 0.227 1364 — American, British Age range 50-108; mean age at death 80.2 G A Candidate Region/Gene 22445811
    rs11767557 EPHA1 — 0.267 1364 — American, British Age range 50-108; mean age at death 80.2 G A Candidate Region/Gene 22445811
    rs3865444 CD33 — 0.442 1364 — American, British Age range 50-108; mean age at death 80.2 C A Candidate Region/Gene 22445811
    rs3818361 CR1 — 0.563 1364 — American, British Age range 50-108; mean age at death 80.2 G A Candidate Region/Gene 22445811
    rs1485780 CD2AP — 0.604 1364 — American, British Age range 50-108; mean age at death 80.2 C A Candidate Region/Gene 22445811
    rs744373 BIN1 — 0.689 1364 — American, British Age range 50-108; mean age at death 80.2 A G Candidate Region/Gene 22445811
    rs11136000 CLU — 0.975 1364 — American, British Age range 50-108; mean age at death 80.2 A G Candidate Region/Gene 22445811
    HRAS1 LASS1 (CCT) APOE — 9.5e-05 204 vs 251 — American — — — Candidate Region/Gene 20569235
    HRAS1 LASS1 (CGT) APOE — 6.91e-07 204 vs 251 — American — — — Candidate Region/Gene 20569235
    HRAS1 LASS1 (CCT) APOE — 0.00197 125 vs 163 — American — — — Candidate Region/Gene 20569235
    HRAS1 LASS1 (CGT) APOE — 1e-06 79 vs 88 — American — — — Candidate Region/Gene 20569235
    HRAS1 LASS1 (CCT) APOE — 0.0511 68 vs 68 — American — — — Candidate Region/Gene 20569235
    HRAS1 LASS1 (CGT) APOE — 1.06e-09 68 vs 68 — American — — — Candidate Region/Gene 20569235
    −174 G/C Interleukin 6 — 0.6 2224 — American, Caucasian 65+ G — Candidate Region/Gene 15939070
    −455 G/A FGB — 0.56 2224 — American, Caucasian 65+ — — Candidate Region/Gene 15939070
    • Page 1 of 13
    • 25 of 303 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