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)  
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    13 14 15 16 17 18 19 20 21 X Y MT
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    Populations | Study Types | Variant Types


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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
    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
    rs9868286 CCDC50 1.48 7.4e-06 403 vs 1670 3746 vs 5912 Dutch Mean age 94 — C Genome-Wide Association Study 21418511
    rs1834497 CLSTN2 — 0.00979 1173 vs 570 — American 85-100 — A Genome-Wide Association Study 22533364
    rs14576 GALNTL2 0.93 6.54e-05 5974 (RS), 3267 (CHS), 3136 (FHS), 4511 (ARIC), 3219 (AGES), 902 (inCHIANTI), 620 (BLSA), 1661 (HABC), 1717 (SHIP) Whitehall II - 6000 (UK), English Longitudinal Study of Ageing (UK), Religious Order Study - 1100, Memory and Ageing Project American — — A Genome-Wide Association Study 21782286
    rs964403 SUMF1 2.07 4.91e-05 410 vs 553 — Italian 90–109 — — Genome-Wide Association Study 21612516
    rs3864051 SUMF1 2.07 5.49e-05 410 vs 553 — Italian 90–109 — — Genome-Wide Association Study 21612516
    rs712773 GRM7 0.66 9.99e-05 410 vs 553 — Italian 90–109 — — Genome-Wide Association Study 21612516
    rs513154 IMPG2 0.52 4.65e-06 410 vs 553 — Italian 90–109 — — Genome-Wide Association Study 21612516
    rs571391 IMPG2 0.55 2.67e-05 410 vs 553 — Italian 90–109 — — Genome-Wide Association Study 21612516
    V465A GABRR3 — 0.04 390 vs 410 — Ashkenazi Jewish Centenarians — — Candidate Region/Gene 23376243
    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
    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
    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
    (+)2019 del ADIPOQ10 — 0.05 118 centenarians vs 78 unrelated young — Ashkenazi Jewish 95-105 A Del/Del Candidate Region/Gene 18511746
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    • 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

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