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
    Export results (Download)

    Populations | Study Types | Variant Types


    LVDB_word_cloud.png
    logo.png
    variants.jpg
    polymorphism factor odds ratio pvalue initial number replication number Population age of cases shorter lived allele longer lived allele study type reference
    (+)2019 del ADIPOQ10 — 0.05 118 centenarians vs 78 unrelated young — Ashkenazi Jewish 95-105 A Del/Del Candidate Region/Gene 18511746
    ApaI IGF2 — 0.063 224 vs 441 — Ashkenazi Jewish 75 G A Candidate Region/Gene 15621215
    V465A GABRR3 — 0.04 390 vs 410 — Ashkenazi Jewish Centenarians — — Candidate Region/Gene 23376243
    rs1801282 PPARG — 0.035 222 vs 250 — Caucasian 86 to 109; median age 99 G — Candidate Region/Gene 15236769
    rs361072 PIK3CB — 0.829 122 vs 122 — Japanese mean age 106.8 — — Candidate Region/Gene 15582274
    rs2305268 PIK3CB — 0.363 122 vs 122 — Japanese mean age 106.8 — — Candidate Region/Gene 15582274
    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
    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
    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
    rs4482616 ADCY5 — 0.398 384 vs 384 579 vs 644 Chinese Mean age 102.1±0.20 — — Candidate Region/Gene 23020224
    rs1834497 CLSTN2 — 0.00979 1173 vs 570 — American 85-100 — A Genome-Wide Association Study 22533364
    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
    rs1801282 PPARG 0.13 0.03 114 vs 173 — Italian >/=90 Pro/Ala Pro/Pro, Ala/Ala Candidate Region/Gene 22985084
    rs5183 AGTR1 0.27 1.0 173 vs 376 — Italian 99-106 (mean 100.9±1.7) — — Candidate Region/Gene 22569962
    • Page 1 of 3
    • 25 of 53 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

    Suggest a new study Report a database issue