1. DNA methylation and breast cancer-associated variants
- Author
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Swee Ho Lim, Patrick M. Y. Chan, Siau Wei Tang, Yirong Sim, Qing Ting Tan, Mikael Hartman, Benita Kiat Tee Tan, Zhiyan Yan, Joanne Ngeow, Ern Yu Tan, Seeu Si Ong, Su-Ming Tan, Juliana Chen Jia Chuan, Rajkumar Dorajoo, Alexis Jiaying Khng, Veronique Kiak Mien Tan, Peh Joo Ho, Ivna Ivanković, Jingmei Li, and Ching Wan Chan
- Subjects
0301 basic medicine ,Genetics ,Cancer Research ,Candidate gene ,dNaM ,Genome-wide association study ,Biology ,Quantitative trait locus ,medicine.disease ,Minor allele frequency ,03 medical and health sciences ,030104 developmental biology ,0302 clinical medicine ,Breast cancer ,Oncology ,030220 oncology & carcinogenesis ,DNA methylation ,Expression quantitative trait loci ,medicine - Abstract
A breast cancer polygenic risk score (PRS) comprising 313 common variants reliably predicts disease risk. We examined possible relationships between genetic variation, regulation, and expression to clarify the molecular alterations associated with these variants. Genome-wide methylomic variation was quantified (MethylationEPIC) in Asian breast cancer patients (1152 buffy coats from peripheral whole blood). DNA methylation (DNAm) quantitative trait loci (mQTL) mapping was performed for 235 of the 313 variants with minor allele frequencies > 5%. Stability of identified mQTLs (p
- Published
- 2021
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