Cargando…
High Levels of Sample-to-Sample Variation Confound Data Analysis for Non-Invasive Prenatal Screening of Fetal Microdeletions
Our goal was to test the hypothesis that inter-individual genomic copy number variation in control samples is a confounding factor in the non-invasive prenatal detection of fetal microdeletions via the sequence-based analysis of maternal plasma DNA. The database of genomic variants (DGV) was used to...
Autores principales: | Chu, Tianjiao, Yeniterzi, Suveyda, Yatsenko, Svetlana A., Dunkel, Mary, Shaw, Patricia A., Bunce, Kimberly D., Peters, David G. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4889033/ https://www.ncbi.nlm.nih.gov/pubmed/27249650 http://dx.doi.org/10.1371/journal.pone.0153182 |
Ejemplares similares
-
Correction: High Levels of Sample-to-Sample Variation Confound Data Analysis for Non-Invasive Prenatal Screening of Fetal Microdeletions
por: Chu, Tianjiao, et al.
Publicado: (2016) -
Comparative evaluation of the Minimally-Invasive Karyotyping (MINK) algorithm for non-invasive prenatal testing
por: Chu, Tianjiao, et al.
Publicado: (2017) -
Maternal Cell free DNA based screening for fetal microdeletion and the importance of careful diagnostic follow up
por: Yatsenko, Svetlana A., et al.
Publicado: (2015) -
EnzyMiner: automatic identification of protein level mutations and their impact on target enzymes from PubMed abstracts
por: Yeniterzi, Süveyda, et al.
Publicado: (2009) -
Comparison of Bioinformatics Approaches for Fetal Microdeletions and Monogenic Variations Estimation in Non-invasive Prenatal Testing
por: Paul, Lizzy Teleboshe, et al.
Publicado: (2022)