Literature DB >> 23592541

The impact of maternal plasma DNA fetal fraction on next generation sequencing tests for common fetal aneuploidies.

Jacob A Canick1, Glenn E Palomaki, Edward M Kloza, Geralyn M Lambert-Messerlian, James E Haddow.   

Abstract

Maternal plasma contains circulating cell-free DNA fragments originating from both the mother and the placenta. The proportion derived from the placenta is known as the fetal fraction. When measured between 10 and 20 gestational weeks, the average fetal fraction in the maternal plasma is 10% to 15% but can range from under 3% to over 30%. Screening performance using next-generation sequencing of circulating cell-free DNA is better with increasing fetal fraction and, generally, samples whose values are less than 3% or 4% are unsuitable. Three examples of the clinical impact of fetal fraction are discussed. First, the distribution of test results for Down syndrome pregnancies improves as fetal fraction increases, and this can be exploited in reporting patient results. Second, the strongest factor associated with fetal fraction is maternal weight; the false negative rate and rate of low fetal fractions are highest for women with high maternal weights. Third, in a mosaic, the degree of mosaicism will impact the performance of the test because it will reduce the effective fetal fraction. By understanding these aspects of the role of fetal fraction in maternal plasma DNA testing for aneuploidy, we can better appreciate the power and the limitations of this impressive new methodology.
© 2013 John Wiley & Sons, Ltd.

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Year:  2013        PMID: 23592541     DOI: 10.1002/pd.4126

Source DB:  PubMed          Journal:  Prenat Diagn        ISSN: 0197-3851            Impact factor:   3.050


  89 in total

Review 1.  The amniotic fluid transcriptome as a guide to understanding fetal disease.

Authors:  Lillian M Zwemer; Diana W Bianchi
Journal:  Cold Spring Harb Perspect Med       Date:  2015-02-13       Impact factor: 6.915

2.  Sequencing of short cfDNA fragments in NIPT improves fetal fraction with higher maternal BMI and early gestational age.

Authors:  Longwei Qiao; Qin Zhang; Yuting Liang; Ang Gao; Yang Ding; Nannan Zhao; Wei Zhang; Hong Li; Yaojuan Lu; Ting Wang
Journal:  Am J Transl Res       Date:  2019-07-15       Impact factor: 4.060

Review 3.  Noninvasive prenatal testing for aneuploidy using cell-free DNA - New implications for maternal health.

Authors:  Lisa Hui
Journal:  Obstet Med       Date:  2016-06-07

4.  Count-based size-correction analysis of maternal plasma DNA for improved noninvasive prenatal detection of fetal trisomies 13, 18, and 21.

Authors:  Li Zhang; Qian Zhu; He Wang; Shanling Liu
Journal:  Am J Transl Res       Date:  2017-07-15       Impact factor: 4.060

5.  [Noninvasive prenatal genetic testing in 6804 pregnant women aged less than 35 years with positive results in serum screening].

Authors:  Xingkun Yang; Xiaoling Guo; Jin Zhong; Zhihua Chen; Shuijuan Wu
Journal:  Nan Fang Yi Ke Da Xue Xue Bao       Date:  2019-11-30

Review 6.  Current status of spent embryo media research for preimplantation genetic testing.

Authors:  Denice Belandres; Mousa Shamonki; Nabil Arrach
Journal:  J Assist Reprod Genet       Date:  2019-03-21       Impact factor: 3.412

7.  Placental mosaicism for Trisomy 13: a challenge in providing the cell-free fetal DNA testing.

Authors:  Xiang-Yin Liu; Hong-Guo Zhang; Rui-Xue Wang; Shuang Chen; Xiao-Wei Yu; Rui-Zhi Liu
Journal:  J Assist Reprod Genet       Date:  2014-02-05       Impact factor: 3.412

Review 8.  Have we done our last amniocentesis? Updates on cell-free DNA for Down syndrome screening.

Authors:  Kathryn J Gray; Louise E Wilkins-Haug
Journal:  Pediatr Radiol       Date:  2018-03-17

Review 9.  Cell-Free DNA Screening: Complexities and Challenges of Clinical Implementation.

Authors:  Matthew R Grace; Emily Hardisty; Sarah K Dotters-Katz; Neeta L Vora; Jeffrey A Kuller
Journal:  Obstet Gynecol Surv       Date:  2016-08       Impact factor: 2.347

10.  The Effect of Maternal Obesity on Placental Cell-Free DNA Release in a Mouse Model.

Authors:  Mohak Mhatre; Sharareh Adeli; Errol Norwitz; Sabrina Craigo; Mark Phillippe; Andrea Edlow
Journal:  Reprod Sci       Date:  2018-11-19       Impact factor: 3.060

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