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Quantitative DNA Methylation Analysis and Epigenotype-Phenotype Correlations in Taiwanese Patients with Beckwith-Wiedemann Syndrome

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...

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Autores principales: Lin, Hsiang-Yu, Lee, Chung-Lin, Fran, Sisca, Tu, Ru-Yi, Chang, Ya-Hui, Niu, Dau-Ming, Chang, Chia-Ying, Chiu, Pao Chin, Chou, Yen-Yin, Hsiao, Hui-Pin, Yang, Chia-Feng, Tsai, Meng-Che, Chu, Tzu-Hung, Chuang, Chih-Kuang, Lin, Shuan-Pei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8622080/
https://www.ncbi.nlm.nih.gov/pubmed/34834418
http://dx.doi.org/10.3390/jpm11111066
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author Lin, Hsiang-Yu
Lee, Chung-Lin
Fran, Sisca
Tu, Ru-Yi
Chang, Ya-Hui
Niu, Dau-Ming
Chang, Chia-Ying
Chiu, Pao Chin
Chou, Yen-Yin
Hsiao, Hui-Pin
Yang, Chia-Feng
Tsai, Meng-Che
Chu, Tzu-Hung
Chuang, Chih-Kuang
Lin, Shuan-Pei
author_facet Lin, Hsiang-Yu
Lee, Chung-Lin
Fran, Sisca
Tu, Ru-Yi
Chang, Ya-Hui
Niu, Dau-Ming
Chang, Chia-Ying
Chiu, Pao Chin
Chou, Yen-Yin
Hsiao, Hui-Pin
Yang, Chia-Feng
Tsai, Meng-Che
Chu, Tzu-Hung
Chuang, Chih-Kuang
Lin, Shuan-Pei
author_sort Lin, Hsiang-Yu
collection PubMed
description 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.
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spelling pubmed-86220802021-11-27 Quantitative DNA Methylation Analysis and Epigenotype-Phenotype Correlations in Taiwanese Patients with Beckwith-Wiedemann Syndrome Lin, Hsiang-Yu Lee, Chung-Lin Fran, Sisca Tu, Ru-Yi Chang, Ya-Hui Niu, Dau-Ming Chang, Chia-Ying Chiu, Pao Chin Chou, Yen-Yin Hsiao, Hui-Pin Yang, Chia-Feng Tsai, Meng-Che Chu, Tzu-Hung Chuang, Chih-Kuang Lin, Shuan-Pei J Pers Med Article 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. MDPI 2021-10-22 /pmc/articles/PMC8622080/ /pubmed/34834418 http://dx.doi.org/10.3390/jpm11111066 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Lin, Hsiang-Yu
Lee, Chung-Lin
Fran, Sisca
Tu, Ru-Yi
Chang, Ya-Hui
Niu, Dau-Ming
Chang, Chia-Ying
Chiu, Pao Chin
Chou, Yen-Yin
Hsiao, Hui-Pin
Yang, Chia-Feng
Tsai, Meng-Che
Chu, Tzu-Hung
Chuang, Chih-Kuang
Lin, Shuan-Pei
Quantitative DNA Methylation Analysis and Epigenotype-Phenotype Correlations in Taiwanese Patients with Beckwith-Wiedemann Syndrome
title Quantitative DNA Methylation Analysis and Epigenotype-Phenotype Correlations in Taiwanese Patients with Beckwith-Wiedemann Syndrome
title_full Quantitative DNA Methylation Analysis and Epigenotype-Phenotype Correlations in Taiwanese Patients with Beckwith-Wiedemann Syndrome
title_fullStr Quantitative DNA Methylation Analysis and Epigenotype-Phenotype Correlations in Taiwanese Patients with Beckwith-Wiedemann Syndrome
title_full_unstemmed Quantitative DNA Methylation Analysis and Epigenotype-Phenotype Correlations in Taiwanese Patients with Beckwith-Wiedemann Syndrome
title_short Quantitative DNA Methylation Analysis and Epigenotype-Phenotype Correlations in Taiwanese Patients with Beckwith-Wiedemann Syndrome
title_sort quantitative dna methylation analysis and epigenotype-phenotype correlations in taiwanese patients with beckwith-wiedemann syndrome
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8622080/
https://www.ncbi.nlm.nih.gov/pubmed/34834418
http://dx.doi.org/10.3390/jpm11111066
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