Perrier, Flavie; Novoloaca, Alexei; Ambatipudi, Srikant; Baglietto, Laura; Ghantous, Akram; Perduca, Vittorio; Barrdahl, Myrto; Harlid, Sophia; Ong, Ken K; Cardona, Alexia; Polidoro, Silvia; Nøst, Therese Haugdahl; Overvad, Kim; Omichessan, Hanane; Dollé, Martijn; Bamia, Christina; Huerta, José María; Vineis, Paolo; Herceg, Zdenko; Romieu, Isabelle; Ferrari, Pietro (Journal article; Tidsskriftartikkel; Peer reviewed, 2018-03-21)
<i>Background</i>: Methylation measures quantified by microarray techniques can be affected by systematic variation
due to the technical processing of samples, which may compromise the accuracy of the measurement process
and contribute to bias the estimate of the association under investigation. The quantification of the contribution
of the systematic source of variation is challenging in datasets ...