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 (607)   No Age Effect (103)  
  • Study type: + -
    Genome‑Wide Association Study « 
  • Variant type: + -
    SNP (147)   Locus (1)  
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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
    rs951085 Intergenic — 0.0041 653 (197 m, 456 f) vs non-mentioned 564 (92 m, 472 f) vs 564___(Franch Caucasians) American, Caucasian Mean 100,8 — — Genome-Wide Association Study 14615589
    rs10937739 PPP2R2C — 0.00404 1173 vs 570 — American 85-100 — T Genome-Wide Association Study 22533364
    rs2826891 NCAM2 — 0.00402 1173 vs 570 — American 85-100 — T Genome-Wide Association Study 22533364
    rs12341685 TMEM2 1.01 0.004008145 801 vs 914 — Caucasian Median age 104 G A Genome-Wide Association Study 22279548
    rs327519 PAX4 (for males) 5.70 0.004 137 vs 213 — Korean Mean age 90 — G Genome-Wide Association Study 19641380
    rs4729049 CDK6 1.36 0.003946549 801 vs 914 — Caucasian Median age 104 A G Genome-Wide Association Study 22279548
    rs7677714 Intergenic 1.11 0.003657755 801 vs 914 — Caucasian Median age 104 A G Genome-Wide Association Study 22279548
    rs4755936 SYT13 1.19 0.003578524 801 vs 914 — Caucasian Median age 104 G A Genome-Wide Association Study 22279548
    rs1922263 CHST11 1.17 0.003569024 801 vs 914 — Caucasian Median age 104 C A Genome-Wide Association Study 22279548
    rs139170 PARVG — 0.00332 1173 vs 570 — American 85-100 — T Genome-Wide Association Study 22533364
    rs2252024 Intergenic 1.27 0.003246428 801 vs 914 — Caucasian Median age 104 A G Genome-Wide Association Study 22279548
    rs8098316 Intergenic 1.08 0.003214587 801 vs 914 — Caucasian Median age 104 C A Genome-Wide Association Study 22279548
    rs2072454, rs2293347, rs3807362, rs884225 EGFR (for females) 4.11 0.003 137 vs 213 — Korean Mean age 90 — CGCA Genome-Wide Association Study 19641380
    rs12043001 Intergenic 1.20 0.002958435 801 vs 914 — Caucasian Median age 104 G A Genome-Wide Association Study 22279548
    rs10509271 CTNNA3 1.21 0.002944036 801 vs 914 — Caucasian Median age 104 A G Genome-Wide Association Study 22279548
    rs1812736 Intergenic 1.16 0.002934594 801 vs 914 — Caucasian Median age 104 G A Genome-Wide Association Study 22279548
    rs750032 PPP3CA — 0.0029 653 (197 m, 456 f) vs non-mentioned 564 (92 m, 472 f) vs 564___(Franch Caucasians) American, Caucasian Mean 100,8 — — Genome-Wide Association Study 14615589
    rs10511330 ZBTB20 1.15 0.002831841 801 vs 914 — Caucasian Median age 104 A G Genome-Wide Association Study 22279548
    rs1525501 Intergenic 1.32 0.002700303 801 vs 914 — Caucasian Median age 104 G A Genome-Wide Association Study 22279548
    rs2880540 Intergenic 1.17 0.002577381 801 vs 914 — Caucasian Median age 104 G A Genome-Wide Association Study 22279548
    rs336264 Intergenic 1.30 0.002543704 801 vs 914 — Caucasian Median age 104 G A Genome-Wide Association Study 22279548
    rs2543356 Intergenic 1.31 0.00253896 801 vs 914 — Caucasian Median age 104 G A Genome-Wide Association Study 22279548
    rs1033686 RAD51L1 1.30 0.002359037 801 vs 914 — Caucasian Median age 104 G A Genome-Wide Association Study 22279548
    rs11005328 ZWINT 3.16 0.002342056 801 vs 914 — Caucasian Median age 104 A C Genome-Wide Association Study 22279548
    rs10256972 C7orf50 — 0.00224 1173 vs 570 — American 85-100 — A Genome-Wide Association Study 22533364

    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

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