Chapter title |
Characterization of Human Pregnancy Specific Glycoprotein (PSG) Gene Copy Number Variations in Pre-eclampsia Patients.
|
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Chapter number | 12 |
Book title |
Circulating Nucleic Acids in Serum and Plasma – CNAPS IX
|
Published in |
Advances in experimental medicine and biology, January 2016
|
DOI | 10.1007/978-3-319-42044-8_12 |
Pubmed ID | |
Book ISBNs |
978-3-31-942042-4, 978-3-31-942044-8
|
Authors |
Chia Lin Chang, Chia Yu Chang, Da Xian Lee, Po Jen Cheng |
Editors |
Peter B. Gahan, Michael Fleischhacker, Bernd Schmidt |
Abstract |
Pre-eclampsia is a pregnancy-specific hypertensive disorder that affects 2-8 % of pregnancies. This disorder can lead to seizure, multi-organ failure and maternal death. The best approach to prevent pre-eclampsia-associated adverse outcomes is to be able to prevent pre-eclampsia as early as possible. Unfortunately, current diagnostic methods are ineffective at predicting the risk of pre-eclampsia during early pregnancy. In humans, low levels of a group of placenta-derived Pregnancy Specific Glycoproteins (PSGs) have been associated with intrauterine growth retardation and pre-eclampsia and there is a significant enrichment of cases with deletions in the PSG gene locus in pre-eclampsia patients. Based on these observations, we hypothesize that genomic variations at human PSG locus of maternal and/or fetal genomes may confer increased risks of pre-eclampsia. To test this hypothesis, we have recruited 90 normal control and 30 pre-eclamptic women for the analysis of fetal PSG copy number variations (CNVs).The identification of novel PSG CNV-disease relationships will provide not only a better understanding of the pathology of pre-eclampsia but also a novel opportunity to identify patients with a high risk of developing early-onset pre-eclampsia, which has a five- to tenfold higher risk of life-threatening maternal complications and fetal demise as compared to late-onset pre-eclampsia patients. |
Mendeley readers
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Unknown | 24 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Bachelor | 6 | 25% |
Researcher | 3 | 13% |
Student > Master | 3 | 13% |
Student > Doctoral Student | 2 | 8% |
Lecturer | 1 | 4% |
Other | 0 | 0% |
Unknown | 9 | 38% |
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