Data

The following data sets were used to create the reference data. Therefore, for each tissue type CpG-specific means and variances were estimated ($\hat{\mu}j = 1/N \sum{i=1}^N \beta_{i,j}$ and $\sigma_j^2 = 1/(N-1) \sum_{i=1}^N (\beta_{i,j}-\hat{\mu}j)^2$), where $\beta{i,j}$ represents the methylation $\beta$-value for CpG j={1,.,J} in subject i={1,.,N}.

\begin{table}[] \hspace{-3cm}\begin{tabular}{llll} \hline Tissue Type & Accession Number & Subjects within GSE-ID limited to & Reference \\hline\hline Saliva & GSE92767 & & (Hong et al., 2017) \ Lymphoma & GSE42372 & disease state: non-HIV lymphoma & (Matsunaga et al., 2014) \ Placenta & GSE62733 & health state: Normal & (Kawai et al., 2015) \ Liver & GSE61258 & diseasestatus: Control & (Horvath et al., 2014) \ Colon & GSE77718 & disease state: Normal & (McInnes et al., 2017) \ Blood (Adults) & GSE42861 & subject: Normal & (Kular et al., 2018; Y. Liu et al., 2013) \ Blood (Children) & GSE83334 & age: 5 years & (Urdinguio et al., 2016) \ Blood (Newborns) & GSE82273 & & (Markunas et al., 2016) \ Cord-blood (whole blood) & GSE69176 & & \ Cord-blood (PBMC) & GSE110128 & cord blood & (Langie et al., 2018) \ Adult (PBMC) & GSE67170 & disease state: control & (Y. H. Zhang et al., 2018) \ Sperm & GSE114753 & control & (Jenkins et al., 2017) \ \hline \end{tabular} \end{table}



stefangraw/pwrEWAS.data documentation built on Nov. 5, 2019, 9:21 a.m.