1. Quality control measures for placental sample purity in DNA methylation array analyses
- Author
-
Stephen Pederson, Claire T. Roberts, Konstantinos Justinian Bogias, James Breen, Shalem Leemaqz, Tina Bianco-Miotto, Dale McAninch, Tanja Jankovic-Karasoulos, Dylan McCullough, Melanie D. Smith, Qianhui Wan, and Ning Liu
- Subjects
0301 basic medicine ,Quality Control ,Sample (material) ,Placenta ,Early pregnancy factor ,Geo database ,Computational biology ,Article ,03 medical and health sciences ,0302 clinical medicine ,Pregnancy ,medicine ,Humans ,Principal Component Analysis ,030219 obstetrics & reproductive medicine ,biology ,Obstetrics and Gynecology ,Quality control ,food and beverages ,Human placenta ,DNA Methylation ,Microarray Analysis ,030104 developmental biology ,medicine.anatomical_structure ,Reproductive Medicine ,DNA methylation ,embryonic structures ,biology.protein ,Female ,Developmental Biology - Abstract
The purity of tissue samples can affect the accuracy and utility of DNA methylation array analyses. This is particularly important for the placenta which is globally hypomethylated compared to other tissues. Placental villous tissue from early pregnancy terminations can be difficult to separate from non-villous tissue, resulting in potentially inaccurate results. We used several methods to identify mixed placenta samples using DNA methylation array datasets from our laboratory and those contained in the NCBI GEO database, highlighting the importance of determining sample purity during quality control processes.
- Published
- 2019