Severe periodontitis is prevalent in Down syndrome (DS). This study aimed to identify genetic variations associated with periodontitis in individuals with DS. The study group was distributed into DS patients with periodontitis (n = 50) and DS patients with healthy periodontium (n = 36). All samples were genotyped with the "Axiom Spanish Biobank" array, which contains 757,836 markers. An association analysis at the individual marker level using logistic regression, as well as at the gene level applying the sequence kernel association test (SKAT) was performed. The most significant genes were included in a pathway analysis using the free DAVID software. C12orf74 (rs4315121, p = 9.85 × 10-5, OR = 8.84), LOC101930064 (rs4814890, p = 9.61 × 10-5, OR = 0.13), KBTBD12 (rs1549874, p = 8.27 × 10-5, OR = 0.08), PIWIL1 (rs11060842, p = 7.82 × 10-5, OR = 9.05) and C16orf82 (rs62030877, p = 8.92 × 10-5, OR = 0.14) showed a higher probability in the individual analysis. The analysis at the gene level highlighted PIWIL, MIR9-2, LHCGR, TPR and BCR. At the signaling pathway level, PI3K-Akt, long-term depression and FoxO achieved nominal significance (p = 1.3 × 10-2, p = 5.1 × 10-3, p = 1.2 × 10-2, respectively). In summary, various metabolic pathways are involved in the pathogenesis of periodontitis in DS, including PI3K-Akt, which regulates cell proliferation and inflammatory response.
Keywords: Down syndrome; genome-wide association study; periodontitis.