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
    rs422858 AGTR1 3.57 0.007 173 vs 376 — Italian 99-106 (mean 100.9±1.7) AG CC Candidate Region/Gene 22569962
    rs275653 AGTR1 3.57 0.007 173 vs 376 598 vs 422 Italian 99-106 (mean 100.9±1.7) A G Candidate Region/Gene 22569962
    rs5182 AGTR1 0.97 1.0 173 vs 376 — Italian 99-106 (mean 100.9±1.7) — — Candidate Region/Gene 22569962
    rs12721225 AGTR1 0.37 0.929 173 vs 376 — Italian 99-106 (mean 100.9±1.7) — — Candidate Region/Gene 22569962
    rs5183 AGTR1 0.27 1.0 173 vs 376 — Italian 99-106 (mean 100.9±1.7) — — Candidate Region/Gene 22569962
    rs5186 AGTR1 1.15 0.875 173 vs 376 — Italian 99-106 (mean 100.9±1.7) — — Candidate Region/Gene 22569962
    rs5189 AGTR1 0.75 0.945 173 vs 376 — Italian 99-106 (mean 100.9±1.7) — — Candidate Region/Gene 22569962
    rs3210458 ACPL2 — 1.52e-05 1364 — American, British Age range 50-108; mean age at death 80.2 C T Genome-Wide Association Study 22445811
    rs7622678 BDH1 — 1.93e-05 1364 — American, British Age range 50-108; mean age at death 80.2 C T Genome-Wide Association Study 22445811
    rs17047650 FAM19A1 — 3.19e-05 1364 — American, British Age range 50-108; mean age at death 80.2 C T Genome-Wide Association Study 22445811
    rs10433502 FAM19A1 — 3.49e-05 1364 — American, British Age range 50-108; mean age at death 80.2 C T Genome-Wide Association Study 22445811
    rs4686837 ST6GAL1 — 4.6e-05 1364 — American, British Age range 50-108; mean age at death 80.2 G A Genome-Wide Association Study 22445811
    –11391 G/A ADIPOQ10 8.48 0.026 148 vs 414 — Polish Mean age 101.1 +/- 1.2 G A Candidate Region/Gene 23339001
    rs1063539 ADIPOQ10 — 0.2 213 vs 402 — Japanese minimum 95; mean 97.9 — — Candidate Region/Gene 18765803
    rs182052 ADIPOQ10 — 0.22 213 vs 402 — Japanese minimum 95; mean 97.9 — — Candidate Region/Gene 18765803
    rs266729 ADIPOQ10 — 0.08 213 vs 402 — Japanese minimum 95; mean 97.9 — — Candidate Region/Gene 18765803
    rs1050450 GPX1 0.93 0.008 1613 — Danish All danes born in 1905 (Danish 1905 cohort) C — Candidate Region/Gene 19428448
    rs266729 ADIPQO — 0.635 110 vs 120 — Jordanian mean age 90.2 years G C Candidate Region/Gene 20201642
    rs2241766 ADIPQO — 0.164 110 vs 120 — Jordanian mean age 90.2 years G T Candidate Region/Gene 20201642
    rs1501299 ADIPQO — 0.02 110 vs 120 — Jordanian mean age 90.2 years T G Candidate Region/Gene 20201642
    rs1801282 PPARG 0.13 0.03 114 vs 173 — Italian >/=90 Pro/Ala Pro/Pro, Ala/Ala Candidate Region/Gene 22985084
    rs2877709 ADCY5 — 0.767 384 vs 384 579 vs 644 Chinese Mean age 102.1±0.20 — — Candidate Region/Gene 23020224
    rs9861425 ADCY5 — 0.251 384 vs 384 579 vs 644 Chinese Mean age 102.1±0.20 — — Candidate Region/Gene 23020224
    rs9844212 ADCY5 — 0.901 384 vs 384 579 vs 644 Chinese Mean age 102.1±0.20 — — Candidate Region/Gene 23020224
    rs4677882 ADCY5 — 0.999 384 vs 384 579 vs 644 Chinese Mean age 102.1±0.20 — — Candidate Region/Gene 23020224

    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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