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: + -
    Genome‑Wide Association Study « 
  • Variant type: + -
    SNP (50)   Locus (1)  
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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
    Chromosome 4 at D4S1564 Chromosome 4 at D4S1564 — 0.044 303 — Human Minimum age 98 for one sibling (of sibship) — — Genome-Wide Association Study 11526246
    marker D4S1564 — — 0.044 308 — European min. age 98 for one sibling. 91+ males, 95+ females — — Genome-Wide Association Study 11526246
    3p24-22 3p24-22 — 0.037 3953 — American Minimum age 98 — — Genome-Wide Association Study 20824210
    rs326146 ADCY2 1.46 0.024 137 vs 213 — Korean Mean age 90 — A Genome-Wide Association Study 19641380
    rs4237973 PIK3C2G 1.51 0.022 137 vs 213 — Korean Mean age 90 — C Genome-Wide Association Study 19641380
    - Telomere maintenance pathway (TM) — 0.02 403 vs 1670 — European 90-103 — — Genome-Wide Association Study 22113349
    rs3780223 C9orf94 1.10 0.012546995 801 vs 914 — Caucasian Median age 104 A G Genome-Wide Association Study 22279548
    rs155979 PCSK1 0.61 0.012 137 vs 213 — Korean Mean age 90 G — Genome-Wide Association Study 19641380
    - Insulin signaling pathway (IIS) — 0.01 403 vs 1670 — European 90-103 — — Genome-Wide Association Study 22113349
    rs712700 — 1.87 0.01 137 vs 213 — Korean Mean age 90 — G Genome-Wide Association Study 19641380
    rs4648884 RUNX3 — 0.00992 1173 vs 570 — American 85-100 — T Genome-Wide Association Study 22533364
    rs5771675 FAM19A5 — 0.00985 1173 vs 570 — American 85-100 — A Genome-Wide Association Study 22533364
    rs1205035 Intergenic — 0.00983 1173 vs 570 — American 85-100 — C Genome-Wide Association Study 22533364
    rs1834497 CLSTN2 — 0.00979 1173 vs 570 — American 85-100 — A Genome-Wide Association Study 22533364
    rs4148544 ABCC4 — 0.00977 1173 vs 570 — American 85-100 — T Genome-Wide Association Study 22533364
    rs671 ALDH2 (for males) 2.11 0.009 137 vs 213 — Korean Mean age 90 — A Genome-Wide Association Study 19641380
    rs2590504 KIAA0649 — 0.00854 1173 vs 570 — American 85-100 — C Genome-Wide Association Study 22533364
    rs2232548 KLRF1 1.15 0.008366096 801 vs 914 — Caucasian Median age 104 A C Genome-Wide Association Study 22279548
    rs3120819 Intergenic — 0.00806 1173 vs 570 — American 85-100 — C Genome-Wide Association Study 22533364
    rs3811952, rs155979, rs3762985 — 0.54 0.008 137 vs 213 — Korean Mean age 90 CGA — Genome-Wide Association Study 19641380
    rs2030071 IL12RB2 (for females) 0.18 0.008 137 vs 213 — Korean Mean age 90 T — Genome-Wide Association Study 19641380
    rs12129750 VPS13D 1.06 0.007897685 801 vs 914 — Caucasian Median age 104 A G Genome-Wide Association Study 22279548
    rs432203 TGFA — 0.00779 1173 vs 570 — American 85-100 — C Genome-Wide Association Study 22533364
    rs10819510 Intergenic — 0.00774 1173 vs 570 — American 85-100 — A Genome-Wide Association Study 22533364
    rs2043270 FLJ31951 1.29 0.00761736 801 vs 914 — Caucasian Median age 104 A G Genome-Wide Association Study 22279548
    • Page 1 of 25
    • 25 of 607 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

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