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 (1027)   No Age Effect (543)  
  • Study type: + -
    GWAS (2)   ‑ (27)   Candidate Region/Gene (784)   Meta‑Analysis (38)   Complete Mitochondrial Genome (2)   Whole‑Genome Linkage Scan (1)   Genome‑Wide Association Study (710)   Mitochondrial Haplogroup (36)   Mitochondrial genome (3)  
  • Variant type: + -
    SNP (572)   Locus (5)   Haplotype (87)   Other (1)   STR (11)   Deletion (5)   CNV (1)    (1)   VNTR (1)  
    • 1 2 3 4 5 6 7 8 9 10 11 12
    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
    rs793017 ERGIC1 1.38 0.000595001 801 vs 914 — Caucasian Median age 104 A G Genome-Wide Association Study 22279548
    rs1042718 ADRB2 1.27 0.014 384 vs 384 579 vs 644 Chinese Mean age 102.1±0.20 C A Candidate Region/Gene 23020224
    rs10055012 SEMA6A 1.20 0.001722103 801 vs 914 — Caucasian Median age 104 C A Genome-Wide Association Study 22279548
    rs1042719 ADRB2 1.29 1.29 384 vs 384 579 vs 644 Chinese Mean age 102.1±0.20 G C Candidate Region/Gene 23020224
    rs155979 PCSK1 0.61 0.012 137 vs 213 — Korean Mean age 90 G — Genome-Wide Association Study 19641380
    rs216148 CSF1R 1.45 0.000577091 801 vs 914 — Caucasian Median age 104 G A Genome-Wide Association Study 22279548
    rs262883 DOCK2 1.17 0.001201492 801 vs 914 — Caucasian Median age 104 G A Genome-Wide Association Study 22279548
    rs1042718-rs1042719 ADRB2 0.63 1.86e-05 384 vs 384 579 vs 644 Chinese Mean age 102.1±0.20 G-C A-C Candidate Region/Gene 23020224
    rs17811551 ADAMTS6 — 3.74e-06 1364 — American, British Age range 50-108; mean age at death 80.2 T C Genome-Wide Association Study 22445811

    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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