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 « 
    • 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
    rs12050077 TSHR 1.68 0.0001 232 vs 163 — Ashkenazi Jewish Median age 97 G A Candidate Region/Gene 19837933
    rs1207362 KL 0.63 0.0001 1089 vs 736 1613 vs 1104 Danish 92-93 years old A C Candidate Region/Gene 22406557
    rs2267723 GHRHR 0.70 0.0001 1089 vs 736 1613 vs 1104 Danish 92-93 years old G A Candidate Region/Gene 22406557
    rs3842755 INS 1.79 0.0001 1089 vs 736 1613 vs 1104 Danish 92-93 years old C A Candidate Region/Gene 22406557
    rs11571461 RAD52 2.23 0.0001 1089 vs 736 1613 vs 1104 Danish 92-93 years old A G Candidate Region/Gene 22406557
    rs3842755 INS 1.79 0.0001 1089 vs 736 1613 vs 1104 Danish 92.2–93.8 (mean age 93.2 C — Candidate Region/Gene 22406557
    rs1207362 KL 0.63 0.0001 1089 vs 736 1613 vs 1104 Danish 92.2–93.8 (mean age 93.2 A — Candidate Region/Gene 22406557
    rs2267723 GHRHR 0.70 0.0001 1089 vs 736 1613 vs 1104 Danish 92.2–93.8 (mean age 93.2) G — Candidate Region/Gene 22406557
    rs11571461 RAD52 2.23 0.0001 1089 vs 736 1613 vs 1104 Danish 92.2–93.8 (mean age 93.2) A — Candidate Region/Gene 22406557
    rs4746720 SIRT1 2.10 0.0001 223 vs 277 — Chinese Average age 93 CC, TT CT Candidate Region/Gene 23450480
    rs13251813 WRN 1.84 0.0002 1089 vs 736 1613 vs 1104 Danish 92-93 years old G A Candidate Region/Gene 22406557
    rs8052394 MT1a 2.16 0.0002 151 vs 100 — Italian Mean age 91.4 +/- 4.1 — A Candidate Region/Gene 16955215
    rs3800231 FOXO3 1.42 0.0002 388 vs 371 535 vs 553 German mean age 98.4 years — — Candidate Region/Gene 19196970
    rs1800896 IL10 3.10 0.0003 142 vs 153 — Mean age 67 AA GG Candidate Region/Gene 15466015
    rs2075650 APOE — 0.000527 1364 — American, British Age range 50-108; mean age at death 80.2 C T Candidate Region/Gene 22445811
    rs16928120 — — 0.00057 1600 samples (cases and controls combined) — German, Italian — — — Candidate Region/Gene 19367319
    rs429358, rs7412 APOE 0.43 0.0006 114 vs 2071 — Irish >90 e4 e2 Candidate Region/Gene 11470126
    rs9400239 FOXO3 1.38 0.0007 388 vs 371 535 vs 553 German mean age 98.4 years — — Candidate Region/Gene 19196970
    rs5882 CETP 3.56 0.001 213 vs 258 — Ashkenazi Jewish 98,2 +/- 5,3 non-GG GG Candidate Region/Gene 14559957
    rs10149689 TSHR 1.56 0.001 232 vs 163 — Ashkenazi Jewish Median age 97 A G Candidate Region/Gene 19837933
    rs978739 TAS2R16 0.62 0.001 348 vs 593 — Calabrian Mean age 93.82 non-AA AA Candidate Region/Gene 23133589
    rs479744 FOXO3 1.40 0.001 388 vs 371 535 vs 553 German mean age 98.4 years — — Candidate Region/Gene 19196970
    rs7843014 — 0.37 0.001 175 vs 355 — Spanish 100-111 A C Candidate Region/Gene 24930376
    rs7460 PTK2 0.40 0.001 175 vs 355 — Spanish 100-111 A T Candidate Region/Gene 24930376
    rs2075650 TOMM40 0.70 0.002 2307 vs 764 — American, Danish Mean age 60.2 G A Candidate Region/Gene 23040522
    • 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

    Suggest a new study Report a database issue