| Title |
Implementing Prenatal Diagnosis Based on Cell-Free Fetal DNA: Accurate Identification of Factors Affecting Fetal DNA Yield
|
|---|---|
| Published in |
PLOS ONE, October 2011
|
| DOI | 10.1371/journal.pone.0025202 |
| Pubmed ID | |
| Authors |
Angela N. Barrett, Bernhard G. Zimmermann, Darrell Wang, Andrew Holloway, Lyn S. Chitty |
| Abstract |
Cell-free fetal DNA is a source of fetal genetic material that can be used for non-invasive prenatal diagnosis. Usually constituting less than 10% of the total cell free DNA in maternal plasma, the majority is maternal in origin. Optimizing conditions for maximizing yield of cell-free fetal DNA will be crucial for effective implementation of testing. We explore factors influencing yield of fetal DNA from maternal blood samples, including assessment of collection tubes containing cell-stabilizing agents, storage temperature, interval to sample processing and DNA extraction method used. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 162 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 1% |
| Korea, Republic of | 1 | <1% |
| India | 1 | <1% |
| Ireland | 1 | <1% |
| Russia | 1 | <1% |
| United Kingdom | 1 | <1% |
| Unknown | 155 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 34 | 21% |
| Student > Ph. D. Student | 24 | 15% |
| Student > Master | 21 | 13% |
| Other | 16 | 10% |
| Student > Bachelor | 12 | 7% |
| Other | 30 | 19% |
| Unknown | 25 | 15% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 51 | 31% |
| Biochemistry, Genetics and Molecular Biology | 32 | 20% |
| Medicine and Dentistry | 32 | 20% |
| Engineering | 5 | 3% |
| Immunology and Microbiology | 3 | 2% |
| Other | 9 | 6% |
| Unknown | 30 | 19% |