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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    Populations | Study Types | Variant Types


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    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
    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
    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
    rs978739 TAS2R16 0.62 0.001 348 vs 593 — Calabrian Mean age 93.82 non-AA AA Candidate Region/Gene 23133589
    HRAS1 LASS1 (CCT) APOE — 4.1e-05 147 vs 188 — Georgian — — — Candidate Region/Gene 20569235
    K153R MSTN 3.48 0.001 156 vs 384 79 vs 316 Italian, Spaniard 100–111 K — Candidate Region/Gene 23354683
    rs1002149 GSR 0.71 0.0335 1089 vs 736 1613 vs 1104 Danish 92-93 years old A C Candidate Region/Gene 22406557
    rs1002149 GSR 0.71 0.0335 1089 vs 736 1613 vs 1104 Danish 92.2–93.8 (mean age 93.2) A — Candidate Region/Gene 22406557
    rs10047589 TXNRD1 1.46 0.043 1089 (see notes - follow-up study) 563 (see notes - follow-up study) Danish 92.2–93.8 (mean age 93.2) w/ 11.4 years follow-up G — Candidate Region/Gene 22406557
    rs1007991 SOD3 — 0.679 1612 vs 1104 — German 90+ — — Candidate Region/Gene 24163049
    rs1008438 HSPA1A 3.86 0.016 168 cases — Danish Mean age 92.8 +/- 0.4 А — Candidate Region/Gene 20388090
    rs1008438 HSPA1A — 0.009 894 total — Italian 18-109 A C Candidate Region/Gene 16896546
    rs1008438 HSPA1A — 0.02 894 total — Italian 18-109 C A (applies to males) Candidate Region/Gene 16896546
    rs10119 TOMM40 0.94 0.914 597 vs 1275 — Sichuan 90+ — — Candidate Region/Gene 24924924
    rs10149689 TSHR 1.56 0.001 232 vs 163 — Ashkenazi Jewish Median age 97 A G Candidate Region/Gene 19837933
    rs10149689 TSHR 1.22 0.08 366 vs 163 — Ashkenazi Jewish Median age 69 A G Candidate Region/Gene 19837933
    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
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    • 25 of 375 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