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DNA methylation modulated genetic variant effect on gene transcriptional regulation.
Zeng, Yong; Jain, Rahi; Lam, Magnus; Ahmed, Musaddeque; Guo, Haiyang; Xu, Wenjie; Zhong, Yuan; Wei, Gong-Hong; Xu, Wei; He, Housheng Hansen.
Afiliação
  • Zeng Y; Princess Margaret Cancer Centre, University Health Network, Toronto, Canada. yzeng@uhnresearch.ca.
  • Jain R; Princess Margaret Cancer Centre, University Health Network, Toronto, Canada.
  • Lam M; Princess Margaret Cancer Centre, University Health Network, Toronto, Canada.
  • Ahmed M; Department of Medical Biophysics, University of Toronto, Toronto, Canada.
  • Guo H; Princess Margaret Cancer Centre, University Health Network, Toronto, Canada.
  • Xu W; Department of Clinical Laboratory, the Second Hospital, Cheeloo College of Medicine, Shandong University, Jinan, 250033, Shandong, China.
  • Zhong Y; MOE Key Laboratory of Metabolism and Molecular Medicine and Department of Biochemistry and Molecular Biology of School of Basic Medical Sciences, Fudan University Shanghai Cancer Center, Shanghai Medical College of Fudan University, Shanghai, China.
  • Wei GH; Princess Margaret Cancer Centre, University Health Network, Toronto, Canada.
  • Xu W; MOE Key Laboratory of Metabolism and Molecular Medicine and Department of Biochemistry and Molecular Biology of School of Basic Medical Sciences, Fudan University Shanghai Cancer Center, Shanghai Medical College of Fudan University, Shanghai, China.
  • He HH; Biocenter Oulu & Faculty of Biochemistry and Molecular Medicine, University of Oulu, Oulu, Finland.
Genome Biol ; 24(1): 285, 2023 Dec 08.
Article em En | MEDLINE | ID: mdl-38066556
BACKGROUND: Expression quantitative trait locus (eQTL) analysis has emerged as an important tool in elucidating the link between genetic variants and gene expression, thereby bridging the gap between risk SNPs and associated diseases. We recently identified and validated a specific case where the methylation of a CpG site influences the relationship between the genetic variant and gene expression. RESULTS: Here, to systematically evaluate this regulatory mechanism, we develop an extended eQTL mapping method, termed DNA methylation modulated eQTL (memo-eQTL). Applying this memo-eQTL mapping method to 128 normal prostate samples enables identification of 1063 memo-eQTLs, the majority of which are not recognized as conventional eQTLs in the same cohort. We observe that the methylation of the memo-eQTL CpG sites can either enhance or insulate the interaction between SNP and gene expression by altering CTCF-based chromatin 3D structure. CONCLUSIONS: This study demonstrates the prevalence of memo-eQTLs paving the way to identify novel causal genes for traits or diseases associated with genetic variations.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Limite: Humans / Male Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Limite: Humans / Male Idioma: En Ano de publicação: 2023 Tipo de documento: Article