Accelerated aging in normal breast tissue of women with breast cancer

Breast Cancer Research

Table 1 Breast tissue DNA methylation datasets in this study

Dataset	Age range	Median age	Mean age	SD age	Sample size	Outlier	Type	Method
GSE88883	18–82	37	37.2	13.6	100	0	N	450K
GSE74214	13–80	54.5	49	20.8	18	3	N	450K
GSE101961	17–76	38	38.2	12.2	121	2	N	450K
GSE69914	18–80	51	49.5	14.4	49	10	N	450K
GSE69914	30–86	51	51.1	12.2	42	7	N-adj	450K
GSE160233	33–82	50	52	14.3	29	NA	N-adj	DREAM
TCGA	28–90	56.5	57.5	15.3	97	17	N-adj	450K

DNA methylation datasets in normal and normal-adjacent breast tissues. Summary of the characteristics of publicly available and in-house generated DNA methylation datasets used in this study. Raw (idat) files for all 450K datasets were downloaded and were re-normalized within themselves to match the normalization of the GSE69914 dataset for which raw files were not available for normalization. The data were normalized using beta-mixture quantile normalization (BMIQ) through the ChAMP R package. DREAM dataset was generated in-house as described in the “Methods” section. The “Outlier” column indicates the number of outliers identified in each dataset
N normal, N-adj normal-adjacent, NA not applicable

ISSN: 1465-542X