TY - JOUR AU - Yuan, Victor AU - Price, E. Magda AU - Del Gobbo, Giulia AU - Mostafavi, Sara AU - Cox, Brian AU - Binder, Alexandra M. AU - Michels, Karin B. AU - Marsit, Carmen AU - Robinson, Wendy P. PY - 2019 DA - 2019/08/09 TI - Accurate ethnicity prediction from placental DNA methylation data JO - Epigenetics & Chromatin SP - 51 VL - 12 IS - 1 AB - The influence of genetics on variation in DNA methylation (DNAme) is well documented. Yet confounding from population stratification is often unaccounted for in DNAme association studies. Existing approaches to address confounding by population stratification using DNAme data may not generalize to populations or tissues outside those in which they were developed. To aid future placental DNAme studies in assessing population stratification, we developed an ethnicity classifier, PlaNET (Placental DNAme Elastic Net Ethnicity Tool), using five cohorts with Infinium Human Methylation 450k BeadChip array (HM450k) data from placental samples that is also compatible with the newer EPIC platform. SN - 1756-8935 UR - https://doi.org/10.1186/s13072-019-0296-3 DO - 10.1186/s13072-019-0296-3 ID - Yuan2019 ER -