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: + -
    No Age Effect « 
  • Study type: + -
    Candidate Region/Gene « 
  • Variant type: + -
    SNP « 
    • 1 2 3 4 5 6 7 8 9 10 11 12
    13 14 15 16 17 18 19 20 21 X Y MT
    Export results (Download)

    Populations | Study Types | Variant Types


    LVDB_word_cloud.png
    logo.png
    variants.jpg
    polymorphism factor odds ratio pvalue initial number replication number Population age of cases shorter lived allele longer lived allele study type reference
    rs11136000 CLU — 0.975 1364 — American, British Age range 50-108; mean age at death 80.2 A G 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
    rs1485780 CD2AP — 0.604 1364 — American, British Age range 50-108; mean age at death 80.2 C A 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
    rs3818361 CR1 — 0.563 1364 — American, British Age range 50-108; mean age at death 80.2 G 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
    rs3865444 CD33 — 0.442 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
    rs744373 BIN1 — 0.689 1364 — American, British Age range 50-108; mean age at death 80.2 A G Candidate Region/Gene 22445811
    HRAS1 LASS1 (CCT) APOE — 4.1e-05 147 vs 188 — Georgian — — — Candidate Region/Gene 20569235
    rs1007991 SOD3 — 0.679 1612 vs 1104 — German 90+ — — Candidate Region/Gene 24163049
    rs10119 TOMM40 0.94 0.914 597 vs 1275 — Sichuan 90+ — — Candidate Region/Gene 24924924
    rs10277237 — — 0.805 321 vs 442 — Italian 89-107 — — Candidate Region/Gene 23572278
    rs1041740 SOD1 — 0.998 1612 vs 1104 — German 90+ — — Candidate Region/Gene 24163049
    rs1042713 ADRB2 — 0.149 384 vs 384 579 vs 644 Chinese Mean age 102.1±0.20 — — Candidate Region/Gene 23020224
    rs1042714 ADRB2 — 0.558 384 vs 384 579 vs 644 Chinese Mean age 102.1±0.20 — — Candidate Region/Gene 23020224
    rs10459953 — — 0.522 321 vs 442 — Italian 89-107 — — Candidate Region/Gene 23572278
    rs1048310 — — 0.87 208 vs 399 — Japanese 95+ — — Candidate Region/Gene 23770741
    rs1078892 FOXO1 0.96 0.589 1447 vs 1029 (German) 166 vs 216 (Italian) German — — — Candidate Region/Gene 21388494
    rs10811661 — — 0.13 213 vs 402 — Japanese 95+ — — Candidate Region/Gene 23770741
    rs10947623 CDKN1A 1.37 0.199 184 vs 184 — Italian 100 — — Candidate Region/Gene 20126416
    rs11209971 FOXO6 0.94 0.336 1447 vs 1029 (German) 166 vs 216 (Italian) German Mean age 98.8 — — Candidate Region/Gene 21388494
    rs11217184 CBL — 0.8 212 vs 396 — Japanese 95+ — — Candidate Region/Gene 23770741
    rs1130214 AKT1 0.97 0.544 2996 vs 1840 — Danish, German 92-110 — — Candidate Region/Gene 22929028
    rs1143634 IL1B — 0.53 250 vs 400 — Finn >90 — — Candidate Region/Gene 11640949
    • Page 1 of 9
    • 25 of 209 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