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 (40)   No Age Effect (60)  
  • Study type: + -
    ‑ (3)   Candidate Region/Gene (70)   Complete Mitochondrial Genome (1)   Mitochondrial Haplogroup (30)  
  • Variant type: + -
    SNP (31)   Locus (2)   Haplotype (40)   STR (5)   Deletion (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
    12358G,5417A,10873T mtDNA — 0.058 463 vs 1389 — Chinese >/=95 — — Mitochondrial Haplogroup 19641616
    rs708272 CETP — 0.068 523 vs 498 — Chinese Mean age 93.4 — — Candidate Region/Gene 22336474
    15235G,8584A,9bp-deletion,10873T mtDNA — 0.086 463 vs 1389 — Chinese >/=95 — — Mitochondrial Haplogroup 19641616
    5465C,9bp-deletion,10873T mtDNA — 0.105 463 vs 1389 — Chinese >/=95 — — Mitochondrial Haplogroup 19641616
    8584A,9bp-deletion,10873T mtDNA — 0.117 463 vs 1389 — Chinese >/=95 — — Mitochondrial Haplogroup 19641616
    rs2053044 ADRB2 — 0.138 384 vs 384 579 vs 644 Chinese Mean age 102.1±0.20 — — Candidate Region/Gene 23020224
    3010A,5178A,10400T mtDNA — 0.141 463 vs 1389 — Chinese >/=95 — — Mitochondrial Haplogroup 19641616
    3970T,12705C,10873T mtDNA — 0.147 463 vs 1389 — Chinese >/=95 — — Mitochondrial Haplogroup 19641616
    rs1042713 ADRB2 — 0.149 384 vs 384 579 vs 644 Chinese Mean age 102.1±0.20 — — Candidate Region/Gene 23020224
    rs5749998 MAPK1 — 0.152 384 vs 384 579 vs 644 Chinese Mean age 102.1±0.20 — — Candidate Region/Gene 23020224
    7600A,4833G,14569A,10400T mtDNA — 0.153 463 vs 1389 — Chinese >/=95 — — Mitochondrial Haplogroup 19641616
    rs1892848 MAPK1 — 0.218 384 vs 384 579 vs 644 Chinese Mean age 102.1±0.20 — — Candidate Region/Gene 23020224
    rs5999521 MAPK1 — 0.218 384 vs 384 579 vs 644 Chinese Mean age 102.1±0.20 — — Candidate Region/Gene 23020224
    rs2853826 MT-ND3 — 0.219 98 vs 117 — Chinese 90–100 A — Candidate Region/Gene 18759861
    rs9861425 ADCY5 — 0.251 384 vs 384 579 vs 644 Chinese Mean age 102.1±0.20 — — Candidate Region/Gene 23020224
    1736G,10873T mtDNA — 0.288 463 vs 1389 — Chinese >/=95 — — Mitochondrial Haplogroup 19641616
    12406A,3970T,12705C,10873T mtDNA — 0.304 463 vs 1389 — Chinese >/=95 — — Mitochondrial Haplogroup 19641616
    9bp-deletion,10873T mtDNA — 0.311 463 vs 1389 — Chinese >/=95 — — Mitochondrial Haplogroup 19641616
    8964T,8020A,3010A,5178A,10400T mtDNA — 0.319 463 vs 1389 — Chinese >/=95 — — Mitochondrial Haplogroup 19641616
    15662G,8584A,9bp-deletion,10873T mtDNA — 0.357 463 vs 1389 — Chinese >/=95 — — Mitochondrial Haplogroup 19641616
    5178 adenine/cytosine ND2 — 0.363 95 vs 298 — Chinese 76.2±5.0 C — Candidate Region/Gene 12384792
    5178A,10400T mtDNA — 0.387 463 vs 1389 — Chinese >/=95 — — Mitochondrial Haplogroup 19641616
    rs4482616 ADCY5 — 0.398 384 vs 384 579 vs 644 Chinese Mean age 102.1±0.20 — — Candidate Region/Gene 23020224
    13590A,9bp-deletion,10873T mtDNA — 0.43 463 vs 1389 — Chinese >/=95 — — Mitochondrial Haplogroup 19641616
    8684T,7196A,10400T mtDNA — 0.457 463 vs 1389 — Chinese >/=95 — — Mitochondrial Haplogroup 19641616

    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