Quantitative DNA Methylation Analysis and Epigenotype-Phenotype Correlations in Taiwanese Patients with Beckwith-Wiedemann Syndrome
| Autor: | Ya-Hui Chang, Hui-Pin Hsiao, Meng Che Tsai, Chung-Lin Lee, Pao Chin Chiu, Chia-Feng Yang, Chih-Kuang Chuang, Chia-Ying Chang, Hsiang-Yu Lin, Tzu-Hung Chu, Yen Yin Chou, Sisca Fran, Dau-Ming Niu, Ru-Yi Tu, Shuan-Pei Lin |
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| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Oncology
congenital hereditary and neonatal diseases and abnormalities medicine.medical_specialty MassARRAY phenotype Genetic counseling Beckwith–Wiedemann syndrome Medicine (miscellaneous) Article epigenotype Internal medicine medicine Macroglossia Hemihypertrophy business.industry Methylation medicine.disease quantitative DNA methylation Overgrowth syndrome DNA methylation Beckwith-Wiedemann syndrome Medicine medicine.symptom Genomic imprinting business |
| Zdroj: | Journal of Personalized Medicine, Vol 11, Iss 1066, p 1066 (2021) Journal of Personalized Medicine Volume 11 Issue 11 |
| ISSN: | 2075-4426 |
| Popis: | Background: Beckwith-Wiedemann syndrome (BWS OMIM 130650) is a rare overgrowth syndrome with tumor predisposition resulting from the abnormal expression or function of imprinted genes of the chromosome 11p15.5 imprinting gene cluster. The aim of this study was to identify the epigenotype-phenotype correlations of these patients using quantitative DNA methylation analysis. Methods: One hundred and four subjects with clinically suspected BWS were enrolled in this study. All of the subjects had been referred for diagnostic testing which was conducted using methylation profiling of H19-associated imprinting center (IC) 1 and KCNQ1OT1-associated IC2 in high-resolution melting analysis and methylation quantification with the MassARRAY assay. Correlations between the quantitative DNA methylation status and clinical manifestations of the enrolled subjects were analyzed. Results: Among the 104 subjects, 19 had IC2 hypomethylation, 2 had IC1 hypermethylation, and 10 had paternal uniparental disomy (pUPD). The subjects with IC2 hypomethylation were characterized by significantly more macroglossia but less hemihypertrophy compared to the subjects with pUPD (p < 0.05). For 19 subjects with IC2 hypomethylation, the IC2 methylation level was significantly different (p < 0.05) between the subjects with and without features including macroglossia (IC2 methylation level: 11.1% vs. 30.0%) and prenatal or postnatal overgrowth (8.5% vs. 16.9%). The IC2 methylation level was negatively correlated with birth weight z score (p < 0.01, n = 19) and birth height z score (p < 0.05, n = 13). For 36 subjects with clinically diagnosed BWS, the IC2 methylation level was negatively correlated with the BWS score (r = −0.592, p < 0.01). The IC1 methylation level showed the tendency of positive correlation with the BWS score without statistical significance (r = 0.137, p > 0.05). Conclusions: Lower IC2 methylation and higher IC1 methylation levels were associated with greater disease severity in the subjects with clinically diagnosed BWS. Quantitative DNA methylation analysis using the MassARRAY assay could improve the detection of epigenotype-phenotype correlations, which could further promote better genetic counseling and medical care for these patients. |
| Databáze: | OpenAIRE |
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