Literature DB >> 21828326

Noninvasive fetal sex determination using cell-free fetal DNA: a systematic review and meta-analysis.

Stephanie A Devaney1, Glenn E Palomaki, Joan A Scott, Diana W Bianchi.   

Abstract

CONTEXT: Noninvasive prenatal determination of fetal sex using cell-free fetal DNA provides an alternative to invasive techniques for some heritable disorders. In some countries this testing has transitioned to clinical care, despite the absence of a formal assessment of performance.
OBJECTIVE: To document overall test performance of noninvasive fetal sex determination using cell-free fetal DNA and to identify variables that affect performance. DATA SOURCES: Systematic review and meta-analysis with search of PubMed (January 1, 1997-April 17, 2011) to identify English-language human studies reporting primary data. References from review articles were also searched. STUDY SELECTION AND DATA EXTRACTION: Abstracts were read independently to identify studies reporting primary data suitable for analysis. Covariates included publication year, sample type, DNA amplification methodology, Y chromosome sequence, and gestational age. Data were independently extracted by 2 reviewers.
RESULTS: From 57 selected studies, 80 data sets (representing 3524 male-bearing pregnancies and 3017 female-bearing pregnancies) were analyzed. Overall performance of the test to detect Y chromosome sequences had the following characteristics: sensitivity, 95.4% (95% confidence interval [CI], 94.7%-96.1%) and specificity, 98.6% (95% CI, 98.1%-99.0%); diagnostic odds ratio (OR), 885; positive predictive value, 98.8%; negative predictive value, 94.8%; area under curve (AUC), 0.993 (95% CI, 0.989-0.995), with significant interstudy heterogeneity. DNA methodology and gestational age had the largest effects on test performance. Methodology test characteristics were AUC, 0.988 (95% CI, 0.979-0.993) for polymerase chain reaction (PCR) and AUC, 0.996 (95% CI, 0.993-0.998) for real-time quantitative PCR (RTQ-PCR) (P = .02). Gestational age test characteristics were AUC, 0.989 (95% CI, 0.965-0.998) (<7 weeks); AUC, 0.994 (95% CI, 0.987-0.997) (7-12 weeks); AUC, 0.992 (95% CI, 0.983-0.996) (13-20 weeks); and AUC, 0.998 (95% CI, 0.990-0.999) (>20 weeks) (P = .02 for comparison of diagnostic ORs across age ranges). RTQ-PCR (sensitivity, 96.0%; specificity, 99.0%) outperformed conventional PCR (sensitivity, 94.0%; specificity, 97.3%). Testing after 20 weeks (sensitivity, 99.0%; specificity, 99.6%) outperformed testing prior to 7 weeks (sensitivity, 74.5%; specificity, 99.1%), testing at 7 through 12 weeks (sensitivity, 94.8%; specificity, 98.9%), and 13 through 20 weeks (sensitivity, 95.5%; specificity, 99.1%).
CONCLUSIONS: Despite interstudy variability, performance was high using maternal blood. Sensitivity and specificity for detection of Y chromosome sequences was greatest using RTQ-PCR after 20 weeks' gestation. Tests using urine and tests performed before 7 weeks' gestation were unreliable.

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Year:  2011        PMID: 21828326      PMCID: PMC4526182          DOI: 10.1001/jama.2011.1114

Source DB:  PubMed          Journal:  JAMA        ISSN: 0098-7484            Impact factor:   56.272


  90 in total

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2.  Should meta-analysts search Embase in addition to Medline?

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3.  Optimized real-time quantitative PCR measurement of male fetal DNA in maternal plasma.

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4.  At-home fetal DNA gender testing: caveat emptor.

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5.  Maternal smoking: effect on circulating cell-free fetal and total DNA levels in maternal plasma from the second trimester.

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6.  Fetal sex assignment by first trimester ultrasound: a Tunisian experience.

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7.  Multiple testing in fetal gender determination from maternal blood by polymerase chain reaction.

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8.  Non-invasive tool for foetal sex determination in early gestational age.

Authors:  M Mortarino; I Garagiola; L A Lotta; S M Siboni; A E Semprini; F Peyvandi
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9.  Tracking embryo implantation using cell-free fetal DNA enriched from maternal circulation at 9 weeks gestation.

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10.  Reliability of fetal sex determination using maternal plasma.

Authors:  Peter G Scheffer; C Ellen van der Schoot; Godelieve C M L Page-Christiaens; Bernadette Bossers; Femke van Erp; Masja de Haas
Journal:  Obstet Gynecol       Date:  2010-01       Impact factor: 7.661

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  55 in total

1.  Genetics and bioethics: how our thinking has changed since 1969.

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Journal:  Theor Med Bioeth       Date:  2012-02

Review 2.  From prenatal genomic diagnosis to fetal personalized medicine: progress and challenges.

Authors:  Diana W Bianchi
Journal:  Nat Med       Date:  2012-07-06       Impact factor: 53.440

Review 3.  Disorders of sex development: effect of molecular diagnostics.

Authors:  John C Achermann; Sorahia Domenice; Tania A S S Bachega; Mirian Y Nishi; Berenice B Mendonca
Journal:  Nat Rev Endocrinol       Date:  2015-05-05       Impact factor: 43.330

4.  Discrepancy in fetal sex assignment between cell free fetal DNA and ultrasound.

Authors:  J I Iruretagoyena; M Grady; D Shah
Journal:  J Perinatol       Date:  2015-03       Impact factor: 2.521

Review 5.  Next-generation molecular diagnosis: single-cell sequencing from bench to bedside.

Authors:  Wanjun Zhu; Xiao-Yan Zhang; Sadie L Marjani; Jialing Zhang; Wengeng Zhang; Shixiu Wu; Xinghua Pan
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Review 6.  Non-invasive Prenatal Testing Using Fetal DNA.

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7.  Non-invasive prenatal testing: UK genetic counselors' experiences and perspectives.

Authors:  Elizabeth Alexander; Susan Kelly; Lauren Kerzin-Storrar
Journal:  J Genet Couns       Date:  2014-10-15       Impact factor: 2.537

Review 8.  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

Review 9.  Noninvasive prenatal testing: the future is now.

Authors:  Errol R Norwitz; Brynn Levy
Journal:  Rev Obstet Gynecol       Date:  2013

Review 10.  Recent advances in the prenatal interrogation of the human fetal genome.

Authors:  Lisa Hui; Diana W Bianchi
Journal:  Trends Genet       Date:  2012-11-15       Impact factor: 11.639

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