Study on DNA methylation profiles in non-syndromic cleft lip/palate based on bioinformatics
Zhao, A.-d.; Huang, Y.-J.; Zhang, H.-F.; Tang, W.; Zhang, M.-F.
Shanghai Kou Qiang Yi Xue 28(1): 57-62
2019
ISSN/ISBN: 1006-7248 PMID: 31081001 Document Number: 699153
To study DNA methylation patterns of non-syndromic cleft lip/palate(NSCL/P) using bioinformatic methods, including methylated positions and regions. Whole blood DNA methylation data of NSCL/P samples was download from Gene Expression Omnibus(GEO) database, including 67 NSCL/P cases and 59 controls without birth defects. Data analysis included ①data cleaning, such as probes filtering, quality control and normalization; ②differential methylation analysis, including methylated positions and regions; ③Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis on differential methylated genes. R 3.4.3 software was used for data cleaning, differential methylated positions and regions analysis. DAVID6.8 tool was used for GO and KEGG analysis. 814 differential methylated positions were detected (adjusted P＜0.001，|Δβ|＞0.125）, of which 178 were hypermethylated in NSCL/P patients, and 636 were hypomethylated. In addition, 386 differential methylated regions were identified (P＜0.05), of which 204 were hypermethylation regions and 182 were hypomethylation regions. GO analysis showed that 38 differential methylated genes were involved in 7 kinds of biological processes, 163 differential methylated genes were involved in 3 kinds of molecular functions, and 114 differential methylated genes were involved in 3 kinds of cellular components (P＜0.01). KEGG analysis showed that 59 differential methylated genes were involved in 9 kinds of signal pathways. Abnormal DNA methylation patterns of NSCL/P might be an important epigenetic mechanism affecting the development of NSCL/P. This study might contribute to the identification of identification of biomarkers and targeted interventions of NSCL/P.