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
    rs12770830 HSPA14 1.35 0.011 1,089 vs 736 1,613 vs 1,104 Danish, German 92-93 Danish, 95–110 German — — — 22234866
    rs3758391 SIRT1 — 1.0 386 vs 640 vs 547 — German Mean age 101 — — Candidate Region/Gene 16257164
    rs1885472 SIRT1 — 1.0 386 vs 640 vs 547 — German Mean age 101 — — Candidate Region/Gene 16257164
    rs2273773 SIRT1 — 1.0 386 vs 640 vs 547 — German Mean age 101 — — Candidate Region/Gene 16257164
    rs10997870 SIRT1 — 1.0 386 vs 640 vs 547 — German Mean age 101 — — Candidate Region/Gene 16257164
    rs2234975 SIRT1 — 1.0 386 vs 640 vs 547 — German Mean age 101 — — Candidate Region/Gene 16257164
    rs11188059 CYP2C — 0.04 616 centenarians versus control group of 945 younger individuals — German — — — Candidate Region/Gene 21798861
    -670A/G FAS — 0.608 50 vs 86 — Italian 100.8 ± 1.8 (100 to 106) — — Candidate Region/Gene 11965496
    -1377G/A FAS — 0.106 50 vs 86 — Italian 100.8 ± 1.8 (100 to 106) — — Candidate Region/Gene 11965496
    rs12413082 MSRB2 0.53 3.33e-06 410 vs 553 — Italian 90–109 — — Genome-Wide Association Study 21612516
    rs7915479 CDH23 1.92 2.81e-05 410 vs 553 — Italian 90–109 — — Genome-Wide Association Study 21612516
    rs1556758 SORCS1 0.50 3.47e-05 410 vs 553 — Italian 90–109 — — Genome-Wide Association Study 21612516
    rs7069102 SIRT1 — 0.84 213 vs 402 — Japanese minimum 95; mean 97.9 — — Candidate Region/Gene 18765803
    rs10823112 SIRT1 — 0.44 213 vs 402 — Japanese minimum 95; mean 97.9 — — Candidate Region/Gene 18765803
    rs1885472 SIRT1 — 0.71 213 vs 402 — Japanese minimum 95; mean 97.9 — — Candidate Region/Gene 18765803
    rs1516507 KCNMA1 1.36 9.67e-05 403 vs 1670 3746 vs 5912 Dutch Mean age 94 — G Genome-Wide Association Study 21418511
    rs12257410 FRMD4A — 3.77e-05 1364 — American, British Age range 50-108; mean age at death 80.2 A C Genome-Wide Association Study 22445811
    rs3758391 SIRT1 1.45 0.026 246 vs 236 — Chinese 71.2±7.1 years T — Candidate Region/Gene 20633545
    rs4746720 SIRT1 1.35 0.022 246 vs 236 — Chinese 71.2±7.1 years T — Candidate Region/Gene 20633545
    rs740746 ADRB1 — 0.556 384 vs 384 579 vs 644 Chinese Mean age 102.1±0.20 — — Candidate Region/Gene 23020224
    rs3758391 SIRT1 1.45 0.026 246 vs 236 — Chinese 60-90 — C Candidate Region/Gene 20633545
    rs12770830 HSPA14 1.35 0.011 1,089 vs 736 1,613 vs 1,104 Danish, German 92-93 Danish, 95–110 German — — — 22234866
    CYP2C19*1 (wt allele) / CYP2C19*2( rs4244285 / rs17878459 ) CYP2C19 1.21 0.2 239 vs 64 — Danish 95 and over — — Candidate Region/Gene 9754988
    rs12257410 FRMD4A — 3.77e-05 1364 — American, British Age range 50-108; mean age at death 80.2 A C Genome-Wide Association Study 22445811
    rs7896005 SIRT1 2.38 0.003 224 vs 293 170 vs 220 Caucasian, European 90-103, 98+ (replication) G — Candidate Region/Gene 21972126
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    • 25 of 45 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