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High-Throughput Massively Parallel Sequencing for Fetal Aneuploidy Detection from Maternal Plasma

Overview of attention for article published in PLOS ONE, March 2013
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Title
High-Throughput Massively Parallel Sequencing for Fetal Aneuploidy Detection from Maternal Plasma
Published in
PLOS ONE, March 2013
DOI 10.1371/journal.pone.0057381
Pubmed ID
Authors

Taylor J. Jensen, Tricia Zwiefelhofer, Roger C. Tim, Željko Džakula, Sung K. Kim, Amin R. Mazloom, Zhanyang Zhu, John Tynan, Tim Lu, Graham McLennan, Glenn E. Palomaki, Jacob A. Canick, Paul Oeth, Cosmin Deciu, Dirk van den Boom, Mathias Ehrich

Abstract

Circulating cell-free (ccf) fetal DNA comprises 3-20% of all the cell-free DNA present in maternal plasma. Numerous research and clinical studies have described the analysis of ccf DNA using next generation sequencing for the detection of fetal aneuploidies with high sensitivity and specificity. We sought to extend the utility of this approach by assessing semi-automated library preparation, higher sample multiplexing during sequencing, and improved bioinformatic tools to enable a higher throughput, more efficient assay while maintaining or improving clinical performance.

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Mendeley readers

The data shown below were compiled from readership statistics for 113 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 4%
Korea, Republic of 2 2%
Ireland 1 <1%
India 1 <1%
Sweden 1 <1%
Unknown 104 92%

Demographic breakdown

Readers by professional status Count As %
Researcher 33 29%
Student > Master 19 17%
Student > Bachelor 14 12%
Student > Ph. D. Student 14 12%
Other 13 12%
Other 16 14%
Unknown 4 4%
Readers by discipline Count As %
Agricultural and Biological Sciences 52 46%
Biochemistry, Genetics and Molecular Biology 27 24%
Medicine and Dentistry 15 13%
Nursing and Health Professions 3 3%
Computer Science 3 3%
Other 7 6%
Unknown 6 5%