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Ma L, Li Y, Li L, Wu H, Liu Y, Yang X, Lin A. A high Z-score might increase the positive predictive value of cell-free noninvasive prenatal testing for singleton-pregnant women. J Matern Fetal Neonatal Med 2023; 36:2233662. [PMID: 37433666 DOI: 10.1080/14767058.2023.2233662] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2023] [Revised: 05/19/2023] [Accepted: 07/01/2023] [Indexed: 07/13/2023]
Abstract
OBJECTIVE To explore the positive predictive value (PPV) in noninvasive prenatal testing (NIPT)-positive cases and analyze the effect of the Z-score intervals on PPV performance. METHODS In this retrospective study, 26,667 pregnant women underwent NIPT from November 2014 to August 2022, of which 169 were NIPT-positive cases. NIPT-positive cases were divided into three groups according to the Z-score: 3 ≤ Z < 6, 6 ≤ Z < 10, and Z ≥ 10. RESULTS The PPVs of NIPT were 91.26% (94/103) for trisomy (T) 21, 80.65% (25/31) for T18, and 36.84% (7/19) for T13. The PPVs for the 3 ≤ Z < 6, 6 ≤ Z < 10, and Z ≥ 10 groups were 50%, 84.62%, and 87.95%, respectively. A higher PPV was found in the NIPT results when the Z-score was larger, with significant differences. The PPVs for T21/T18/T13 were 71.43%/42.86%/25% for 3 ≤ Z < 6, 90.32%/85.71%/57.14% for 6 ≤ Z < 10, and 93.85%/100%/25% for Z ≥ 10. For T21, T18, and T13, the correlations between the Z-score and fetal fraction concentration in true positives were r = 0.85, r = 0.59, and r = 0.71 (all p < .001), respectively. CONCLUSION Z-score is associated with the PPV performance of NIPT in fetal T13, T18, and T21. The possibility of false positives caused by placental chimerism should be considered when determining whether high Z-values lead to high PPVs.
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Affiliation(s)
- Li Ma
- Center for Laboratory Diagnosis, Yantai Yuhuangding Hospital Affiliated to Medical College of Qingdao University, Yantai, Shandong, P.R. China
| | - Yulan Li
- Center for Laboratory Diagnosis, Yantai Yuhuangding Hospital Affiliated to Medical College of Qingdao University, Yantai, Shandong, P.R. China
| | - Lei Li
- Department of Obstetrics, Yantai Yuhuangding Hospital Affiliated to Medical College of Qingdao University, Yantai, Shandong, P.R. China
| | - Hong Wu
- Center for Laboratory Diagnosis, Yantai Yuhuangding Hospital Affiliated to Medical College of Qingdao University, Yantai, Shandong, P.R. China
| | - Yongming Liu
- Center for Laboratory Diagnosis, Yantai Yuhuangding Hospital Affiliated to Medical College of Qingdao University, Yantai, Shandong, P.R. China
| | - Xin Yang
- Center for Laboratory Diagnosis, Yantai Yuhuangding Hospital Affiliated to Medical College of Qingdao University, Yantai, Shandong, P.R. China
| | - Aimin Lin
- Department of Gynaecology, Yantai Yuhuangding Hospital Affiliated to Medical College of Qingdao University, Yantai, Shandong, P.R. China
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Abedalthagafi M, Bawazeer S, Fawaz RI, Heritage AM, Alajaji NM, Faqeih E. Non-invasive prenatal testing: a revolutionary journey in prenatal testing. Front Med (Lausanne) 2023; 10:1265090. [PMID: 38020177 PMCID: PMC10666054 DOI: 10.3389/fmed.2023.1265090] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2023] [Accepted: 10/16/2023] [Indexed: 12/01/2023] Open
Abstract
Non-invasive prenatal testing (NIPT) is a pioneering technique that has consistently advanced the field of prenatal testing to detect genetic abnormalities and conditions with the aim of decreasing the incidence and prevalence of inherited conditions. NIPT remains a method of choice for common autosomal aneuploidies, mostly trisomy 21, and several monogenic disorders. The advancements in gene sequencing techniques have expanded the panel of conditions where NIPT could be offered. However, basic research on the impact of several genetic conditions lags behind the methods of detection of these sequence aberrations, and the impact of the expansion of NIPT should be carefully considered based on its utility. With interest from commercial diagnostics and a lack of regulatory oversight, there remains a need for careful validation of the predictive values of different tests offered. NIPT comes with many challenges, including ethical and economic issues. The scientific evidence, technical feasibility, and clinical benefit of NIPT need to be carefully investigated before new tests and developments are translated into clinical practice. Moreover, the implementation of panel expansion of NIPT should accompany expert genetic counseling pre- and post-testing.
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Affiliation(s)
- Malak Abedalthagafi
- Department of Pathology and Laboratory Medicine, Emory School of Medicine, Atlanta, GA, United States
- King Salman Center for Disability Research, Riyadh, Saudi Arabia
| | - Shahad Bawazeer
- Department of Medical Genetics, Children's Specialized Hospital, King Fahad Medical City, Riyadh, Saudi Arabia
| | | | | | - Nouf M. Alajaji
- Department of Maternal Fetal Medicine, Women's Specialized Hospital, King Fahad Medical City, Riyadh, Saudi Arabia
| | - Eissa Faqeih
- Department of Medical Genetics, Children's Specialized Hospital, King Fahad Medical City, Riyadh, Saudi Arabia
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3
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Rogers R, Mardy A. Chorionic Villous Testing Versus Amniocentesis After Abnormal Noninvasive Prenatal Testing. Clin Obstet Gynecol 2023; 66:595-606. [PMID: 37650670 DOI: 10.1097/grf.0000000000000801] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/01/2023]
Abstract
In the setting of a normal first-trimester ultrasound, an amniocentesis may be a better option than chorionic villous sampling for invasive diagnostic testing after a cell-free DNA high risk for trisomy 13, given the high rates of confined placental mosaicism. In unaffected fetuses, other evaluations should be considered depending on the cell-free DNA results, including maternal karyotyping for monosomy X, uniparental disomy testing for chromosomes with imprinted genes, serial growth scans for trisomy 16, and a workup for maternal malignancy for multiple aneuploidies or autosomal monosomy.
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Affiliation(s)
- Rosemary Rogers
- Department of Women's Health, Dell Medical School-UT Health Austin, Austin, Texas
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Bussolaro S, Raymond YC, Acreman ML, Guido M, Da Silva Costa F, Rolnik DL, Fantasia I. The accuracy of prenatal cell-free DNA screening for sex chromosome abnormalities: A systematic review and meta-analysis. Am J Obstet Gynecol MFM 2023; 5:100844. [PMID: 36572107 DOI: 10.1016/j.ajogmf.2022.100844] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2022] [Revised: 11/26/2022] [Accepted: 12/20/2022] [Indexed: 12/26/2022]
Abstract
OBJECTIVE Although cell-free DNA screening for sex chromosome abnormalities is increasingly used in clinical practice, its diagnostic accuracy and clinical utility remain unclear. This systematic review and meta-analysis aimed to determine the performance of cell-free DNA in the detection of sex chromosome abnormalities. DATA SOURCES Medline and PubMed, Embase, and Web of Science were searched from inception to January 2022 for articles relating to cell-free DNA screening for sex chromosome abnormalities. STUDY ELIGIBILITY CRITERIA Original articles, randomized control trials, conference abstracts, cohort and case-control studies, and case series with more than 10 cases with diagnostic confirmation were considered for inclusion. METHODS Quality assessment of each included publication was performed using the Quality Assessment of Diagnostic Accuracy Studies 2 tool. The positive predictive value was calculated as the proportion of true positive cases among those who tested positive and underwent diagnostic testing. Sensitivity and specificity were pooled, and a summary receiver operating characteristic curve was produced using bivariate models that included studies that had diagnostic confirmation for high- and low-risk women. RESULTS The search identified 7553 results. Of these, 380 proceeded to the full-text screening, of which 94 articles were included in the meta-analysis with a total of 1,531,240 women tested. All studies reported a confirmatory genetic test. The pooled positive predictive value was 49.4% (95% confidence interval, 45.8-53.1). The pooled positive predictive value was 32.0% (95% confidence interval, 27.0%-37.3%) for monosomy X, 67.6% (95% confidence interval, 62.5%-72.5%) for XXY, 57.5% (95% confidence interval, 51.7%-63.1%) for XXX, and 70.9% (95% confidence interval, 63.9%-77.1%) for XYY. The pooled sensitivity and specificity of cell-free DNA for sex chromosome abnormalities were 94.1% (95% confidence interval, 90.8%-96.3%) and 99.5% (95% confidence interval, 99.0%-99.7%), respectively, with an area under the summary receiver operating characteristic curve of 0.934 (95% confidence interval, 0.907-0.989). CONCLUSION Although the sensitivity and specificity of cell-free DNA for sex chromosome abnormalities are high, the positive predictive value was approximately 50%. The positive predictive value was higher for sex chromosome abnormalities with a supernumerary Y chromosome and lower for monosomy X. Clinicians should inform couples about these findings when offering cell-free DNA for sex chromosome abnormalities.
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Affiliation(s)
- Sofia Bussolaro
- Department of Medicine, Surgery, and Health Sciences, University of Trieste, Trieste, Italy (Dr Bussolaro)
| | - Yvette C Raymond
- Department of Obstetrics and Gynaecology, Monash University, Clayton, Australia (Ms Raymond and Dr Rolnik)
| | - Melissa L Acreman
- Department of Obstetrics and Gynaecology, Ipswich Hospital, Queensland, Australia (Dr Acreman)
| | - Maurizio Guido
- Obstetrics and Gynaecology Unit, San Salvatore Hospital, L'Aquila, Italy (XX Guido and Dr Fantasia); Department of Life, Health, and Environmental Sciences, University of L'Aquila, L'Aquila, Italy (XX Guido)
| | - Fabricio Da Silva Costa
- Maternal Fetal Medicine Unit, Gold Coast University Hospital, Gold Coast, Queensland, Australia (Dr Da Silva Costa); School of Medicine, Griffith University, Gold Coast, Queensland, Australia (Dr Da Silva Costa)
| | - Daniel L Rolnik
- Department of Obstetrics and Gynaecology, Monash University, Clayton, Australia (Ms Raymond and Dr Rolnik); Monash Women's, Monash Health, Clayton, Australia (Dr Rolnik)
| | - Ilaria Fantasia
- Obstetrics and Gynaecology Unit, San Salvatore Hospital, L'Aquila, Italy (XX Guido and Dr Fantasia).
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Combined fetal fraction to analyze the Z-score accuracy of noninvasive prenatal testing for fetal trisomies 13, 18, and 21. J Assist Reprod Genet 2023; 40:803-810. [PMID: 36763299 DOI: 10.1007/s10815-022-02694-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2022] [Accepted: 12/12/2022] [Indexed: 02/11/2023] Open
Abstract
OBJECTIVE This study aims to evaluate the correlation combined fetal fraction and Z-score for fetal trisomies 13, 18, and 21 of NIPT by the semiconductor sequencing platform and further analyze the differences of different sequencing depths. METHODS A cohort of 61,581 pregnancies were recruited for NIPT. Invasive prenatal diagnostic confirmation is recommended in all high-risk NIPT cases. Logistic regression and rank correlation analysis were applied to analyze the relationship between different parameters. ROC curve analysis was adopted to analyze the cutoff values of Z-score and fetal fraction. RESULTS A total of 278 common trisomy pregnancies were verified in 377 NIPT-positive results. The fitted logistic regression models revealed that Z-scores of NIPT-positive results were significantly associated with PPVs (p < 0.05). The ROC curve analysis showed that the optimal cutoff value of Z-scores for T21, T18, and T13 was 7.597, 4.944, and 9.135 for NIPT and 9.489, 8.004, and 12.4 for NIPT-plus. If combing fetal fraction as another evaluation factor, the PPV of trisomy 21 gradually improved. We analyzed the correlation between the fetal fraction and the PPV, which revealed that the fetal fraction was significantly correlated with PPV. By analyzing the PPV of different groups divided by the associated criteria obtained from ROC curve, the PPV of high Z-score and high fetal fraction is higher in groups of Z-score > the optimal cutoff value. CONCLUSION The results of this study show that the fetal fraction is significantly correlated with the PPV. Combining fetal fraction with Z-score is significantly better than in groups of Z-score-associated criteria; clinicians can give more accurate and efficient prenatal genetic counseling.
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Shear MA, Swanson K, Garg R, Jelin AC, Boscardin J, Norton ME, Sparks TN. A systematic review and meta-analysis of cell-free DNA testing for detection of fetal sex chromosome aneuploidy. Prenat Diagn 2023; 43:133-143. [PMID: 36588186 PMCID: PMC10268789 DOI: 10.1002/pd.6298] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2022] [Revised: 12/05/2022] [Accepted: 12/29/2022] [Indexed: 01/03/2023]
Abstract
OBJECTIVES The aim was to determine the accuracy of cell-free DNA testing (cfDNA) for detecting sex chromosome aneuploidies (SCA) in singleton pregnancies. METHODS A systematic review and meta-analysis was performed to assess cfDNA accuracy for prenatal detection of 45,X, 47,XXY, 47,XXX and 47,XYY. Inclusion was restricted to studies published between January 2010 and December 2021 reporting both cfDNA and confirmatory diagnostic test results. RESULTS For 45,X, the sensitivity was 98.8% (95%CI 94.6%-100%), specificity 99.4% (95%CI 98.7%-99.9%) and positive predictive value (PPV) 14.5% (95%CI 7.0%-43.8%). For 47,XXY, the sensitivity was 100% (95%CI 99.6%-100%), specificity 100% (95%CI 99.9%-100%) and PPV 97.7% (95%CI 78.6%-100%). For 47,XXX, the sensitivity was 100% (95%CI 96.9%-100%), specificity 99.9% (95%CI 99.7%-100%) and PPV 61.6% (95%CI 37.6%-95.4%). For 47,XYY, the sensitivity was 100% (95%CI 91.3%-100%), specificity 100% (95% CI 100%-100%) and PPV 100% (95%CI 76.5%-100%). All four SCAs had estimated negative predictive values (NPV) exceeding 99.99%, though false negatives were reported. CONCLUSIONS This analysis suggests that cfDNA is a reliable screening test for SCA, though both false negatives and false positives were reported. These estimates of test performance are derived from pregnancies at high pretest risk for aneuploidy, limiting the generalisability to average risk pregnancies.
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Affiliation(s)
- Matthew A. Shear
- Department of Obstetrics, Gynecology, & Reproductive Sciences, University of California, San Francisco, California, USA
- Department of Pediatrics, Division of Medical Genetics, University of California, San Francisco, California, USA
| | - Kate Swanson
- Department of Obstetrics, Gynecology, & Reproductive Sciences, University of California, San Francisco, California, USA
- Department of Pediatrics, Division of Medical Genetics, University of California, San Francisco, California, USA
| | - Ria Garg
- Department of Pediatrics, Division of Medical Genetics, University of California, San Francisco, California, USA
| | - Angie C. Jelin
- Department of Gynecology and Obstetrics, The Johns Hopkins Hospital, Baltimore, Maryland, USA
| | - John Boscardin
- Department of Medicine, University of California, San Francisco, California, USA
- Department of Epidemiology and Biostatistics, University of California, San Francisco, California, USA
| | - Mary E. Norton
- Department of Obstetrics, Gynecology, & Reproductive Sciences, University of California, San Francisco, California, USA
- Department of Pediatrics, Division of Medical Genetics, University of California, San Francisco, California, USA
- Institute of Human Genetics, University of California, San Francisco, California, USA
- Center for Maternal Fetal Precision Medicine, University of California, San Francisco, California, USA
| | - Teresa N. Sparks
- Department of Obstetrics, Gynecology, & Reproductive Sciences, University of California, San Francisco, California, USA
- Institute of Human Genetics, University of California, San Francisco, California, USA
- Center for Maternal Fetal Precision Medicine, University of California, San Francisco, California, USA
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7
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Swanson K, Bishop JC, Al-Kouatly HB, Makhamreh M, Felton T, Vora NL, Sparks TN, Jelin AC. Prenatal phenotype of 47, XXY (Klinefelter syndrome). Prenat Diagn 2023; 43:207-212. [PMID: 34874073 PMCID: PMC9170827 DOI: 10.1002/pd.6071] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2021] [Revised: 10/16/2021] [Accepted: 11/24/2021] [Indexed: 11/06/2022]
Abstract
OBJECTIVE There is a paucity of knowledge regarding the prenatal presentation of Klinefelter syndrome, or 47, XXY. Accurate prenatal counseling is critical and in utero diagnosis is currently limited by a poor understanding of the prenatal phenotype of this condition. METHODS This is a case series of fetuses with cytogenetically confirmed 47, XXY in the prenatal period or up to age 5 years, with prenatal records available for review from four academic institutions between 2006 and 2019. Ultrasound reports were reviewed in detail to assess for increased nuchal translucency and structural abnormalities. Additionally, we reviewed results of cell-free DNA and serum analyte testing when performed to inform our understanding of the detection of fetal 47, XXY through standard genetic screening tests. RESULTS Forty-one cases with confirmed cytogenetic diagnosis of 47, XXY and prenatal records available for review were identified: 37 had a prenatal diagnosis and 4 had a postnatal diagnosis. Nuchal translucency was increased ≥3.0 mm in 23.1% (6/26) of cases with a documented measurement. In 29.2% (7/24) of cases with a second trimester anatomical ultrasound available for review, a fetal abnormality was identified (3 brain anomalies, 1 cardiac abnormality, 1 echogenic bowel, and 2 limb abnormalities). Among those who had cell-free DNA and serum analytes performed, 92.6% (25/27) and 36.3% (4/11) had an abnormal result respectively. CONCLUSION This case series expands our knowledge of the prenatal presentation of 47, XXY by identifying first and second trimester fetal sonographic abnormalities. Prenatal identification of this condition enables accurate counseling, focused prenatal management, and early postnatal interventions to ameliorate some of the known complications.
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Affiliation(s)
- Kate Swanson
- Division of Maternal-Fetal Medicine, Department of Obstetrics, Gynecology, and Reproductive Sciences, University of California, San Francisco, California, USA
- Division of Medical Genetics, Department of Pediatrics, University of California, San Francisco, California, USA
| | - Juliet C. Bishop
- Division of Maternal-Fetal Medicine, Department of Gynecology and Obstetrics, The Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
- Department of Genetic Medicine, The Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Huda B. Al-Kouatly
- Division of Maternal-Fetal Medicine, Sidney Kimmel Medical College of Thomas Jefferson University, Philadelphia, Pennsylvania, USA
| | - Mona Makhamreh
- Division of Maternal-Fetal Medicine, Sidney Kimmel Medical College of Thomas Jefferson University, Philadelphia, Pennsylvania, USA
| | - Thomas Felton
- McLendon Clinical Laboratories, Cytogenetics Laboratory, University of North Carolina Health, Chapel Hill, North Carolina, USA
| | - Neeta L. Vora
- Division of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, University of North Carolina at Chapel Hill School of Medicine, Chapel Hill, North Carolina, USA
| | - Teresa N. Sparks
- Division of Maternal-Fetal Medicine, Department of Obstetrics, Gynecology, and Reproductive Sciences, University of California, San Francisco, California, USA
| | - Angie C. Jelin
- Division of Maternal-Fetal Medicine, Department of Gynecology and Obstetrics, The Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
- Department of Genetic Medicine, The Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
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8
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Grati FR, Bestetti I, De Siero D, Malvestiti F, Villa N, Sala E, Crosti F, Parisi V, Nardone AM, Di Giacomo G, Pettinari A, Tortora G, Montaldi A, Calò A, Saccilotto D, Zanchetti S, Celli P, Guerneri S, Silipigni R, Cardarelli L, Lippi E, Cavani S, Malacarne M, Genesio R, Beltrami N, Pittalis MC, Desiderio L, Gentile M, Ficarella R, Recalcati MP, Catusi I, Garzo M, Miele L, Corti C, Ghezzo S, Bertini V, Cambi F, Valetto A, Facchinetti B, Bernardini L, Capalbo A, Balducci F, Pelo E, Minuti B, Pescucci C, Giuliani C, Renieri A, Longo I, Tita R, Castello G, Casalone R, Righi R, Raso B, Civolani A, Muzi MC, di Natale M, Varriale L, Gasperini D, Nuzzi MC, Cellamare A, Casieri P, Busuito R, Ceccarini C, Cesarano C, Privitera O, Melani D, Menozzi C, Falcinelli C, Calabrese O, Battaglia P, Tanzariello A, Stampalija T, Ardisia C, Gasparini P, Benn P, Novelli A. Positive predictive values and outcomes for uninformative cell-free DNA tests: An Italian multicentric Cytogenetic and cytogenomic Audit of diagnOstic testing (ICARO study). Prenat Diagn 2022; 42:1575-1586. [PMID: 36403097 DOI: 10.1002/pd.6271] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2022] [Revised: 11/10/2022] [Accepted: 11/11/2022] [Indexed: 11/21/2022]
Abstract
OBJECTIVES To establish the positive predictive values (PPV) of cfDNA testing based on data from a nationwide survey of independent clinical cytogenetics laboratories. METHODS Prenatal diagnostic test results obtained by Italian laboratories between 2013 and March 2020 were compiled for women with positive non-invasive prenatal tests (NIPT), without an NIPT result, and cases where there was sex discordancy between the NIPT and ultrasound. PPV and other summary data were reviewed. RESULTS Diagnostic test results were collected for 1327 women with a positive NIPT. The highest PPVs were for Trisomy (T) 21 (624/671, 93%) and XYY (26/27, 96.3%), while rare autosomal trisomies (9/47, 19.1%) and recurrent microdeletions (8/55, 14.5%) had the lowest PPVs. PPVs for T21, T18, and T13 were significantly higher when diagnostic confirmation was carried out on chorionic villi (97.5%) compared to amniotic fluid (89.5%) (p < 0.001). In 19/139 (13.9%), of no result cases, a cytogenetic abnormality was detected. Follow-up genetic testing provided explanations for 3/6 cases with a fetal sex discordancy between NIPT and ultrasound. CONCLUSIONS NIPT PPVs differ across the conditions screened and the tissues studied in diagnostic testing. This variability, issues associated with fetal sex discordancy, and no results, illustrate the importance of pre- and post-test counselling.
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Affiliation(s)
- Francesca Romana Grati
- R&D, Cytogenetics, Molecular Genetics and Medical Genetics Unit, TOMA Advanced Biomedical Assays S.p.A, Busto Arsizio, Italy
| | - Ilaria Bestetti
- Laboratorio di Genetica Medica, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milano, Italy.,Department of Medical Biotechnology and Translational Medicine, Università degli Studi di Milano, Milan, Italy
| | - Daria De Siero
- R&D, Cytogenetics, Molecular Genetics and Medical Genetics Unit, TOMA Advanced Biomedical Assays S.p.A, Busto Arsizio, Italy
| | - Francesca Malvestiti
- R&D, Cytogenetics, Molecular Genetics and Medical Genetics Unit, TOMA Advanced Biomedical Assays S.p.A, Busto Arsizio, Italy
| | - Nicoletta Villa
- UOS Citogenetica e Genetica Medica - ASST-Monza, Ospedale San Gerardo, Università di Milano-Bicocca, Monza, Italy
| | - Elena Sala
- UOS Citogenetica e Genetica Medica - ASST-Monza, Ospedale San Gerardo, Università di Milano-Bicocca, Monza, Italy
| | - Francesca Crosti
- UOS Citogenetica e Genetica Medica - ASST-Monza, Ospedale San Gerardo, Università di Milano-Bicocca, Monza, Italy
| | - Valentina Parisi
- U.O.C. Laboratorio di Genetica Medica, Ospedale Pediatrico del Bambino Gesù, IRCCS, Roma, Italy
| | - Anna Maria Nardone
- U.O.C. Laboratorio di Genetica Medica, Policlinico Tor Vergata, Roma, Italy
| | | | - Antonella Pettinari
- SOSD Malattie Rare e Citogenetica, Azienda Ospedaliero-Universitaria Ospedali Riuniti, Ancona, Italy
| | - Giada Tortora
- SOSD Malattie Rare e Citogenetica, Azienda Ospedaliero-Universitaria Ospedali Riuniti, Ancona, Italy
| | | | - Annapaola Calò
- U.O.S. Laboratorio di Genetica, AULSS8 Berica, Vicenza, Italy
| | | | - Sara Zanchetti
- U.O.S. Laboratorio di Genetica, AULSS8 Berica, Vicenza, Italy
| | - Paola Celli
- U.O.S. Laboratorio di Genetica, AULSS8 Berica, Vicenza, Italy
| | - Silvana Guerneri
- Laboratorio di Genetica Medica, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milano, Italy
| | - Rosamaria Silipigni
- Laboratorio di Genetica Medica, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milano, Italy
| | - Laura Cardarelli
- Laboratorio di Genetica medica, Lifebrain, Gruppo Cerba HealthCare, c/o RDI, Rete Diagnostica Italiana, Limena, Italy
| | - Elisabetta Lippi
- Laboratorio di Genetica medica, Lifebrain, Gruppo Cerba HealthCare, c/o RDI, Rete Diagnostica Italiana, Limena, Italy
| | - Simona Cavani
- U.O.C. Laboratorio di Genetica Umana, IRCCS G. Gaslini, Genova, Italy
| | - Michela Malacarne
- U.O.C. Laboratorio di Genetica Umana, IRCCS G. Gaslini, Genova, Italy
| | - Rita Genesio
- DAI medicina di laboratorio e trasfusionale AOU Federico II, Napoli, Italy
| | | | - Maria Carla Pittalis
- IRCCS Azienda Ospedaliero Universitaria di Bologna, Policlinico di Sant'Orsola, Bologna, Italy
| | - Laura Desiderio
- IRCCS Azienda Ospedaliero Universitaria di Bologna, Policlinico di Sant'Orsola, Bologna, Italy
| | - Mattia Gentile
- Dipartimento di Medicina della Riproduzione, UOC Genetica Medica, ASL BARI, Bari, Italy
| | - Romina Ficarella
- Dipartimento di Medicina della Riproduzione, UOC Genetica Medica, ASL BARI, Bari, Italy
| | - Maria Paola Recalcati
- Laboratorio di Citogenetica e Genetica Molecolare, Istituto Auxologico Italiano, IRCCS, Milano, Italy
| | - Ilaria Catusi
- Laboratorio di Citogenetica e Genetica Molecolare, Istituto Auxologico Italiano, IRCCS, Milano, Italy
| | - Maria Garzo
- Laboratorio di Citogenetica e Genetica Molecolare, Istituto Auxologico Italiano, IRCCS, Milano, Italy
| | | | | | - Sara Ghezzo
- Laboratorio di Citogenetica - U.O.C. Genetica Medica, Centro Servizi Pievesestina - Laboratorio Unico, AUSL ROMAGNA, Cesena, Italy
| | - Veronica Bertini
- SOD Citogenetica, Azienda Ospedaliero Universitaria Pisana (AOUP), Pisa, Italy
| | - Francesca Cambi
- SOD Citogenetica, Azienda Ospedaliero Universitaria Pisana (AOUP), Pisa, Italy
| | - Angelo Valetto
- SOD Citogenetica, Azienda Ospedaliero Universitaria Pisana (AOUP), Pisa, Italy
| | - Barbara Facchinetti
- UOSD SMeL 4 Citogenetica e Genetica Medica, ASST Papa Giovanni XXIII, Bergamo, Italy
| | - Laura Bernardini
- Medical Genetics Division, IRCCS Casa Sollievo della Sofferenza Foundation, San Giovanni Rotondo, Italy
| | - Anna Capalbo
- Medical Genetics Division, IRCCS Casa Sollievo della Sofferenza Foundation, San Giovanni Rotondo, Italy
| | - Federica Balducci
- TECNOBIOS PRENATALE EUROGENLAB - Gruppo LIFE BRAIN Emilia-Romagna, Bologna, Italy
| | | | | | | | | | - Alessandra Renieri
- Medical Genetics, University of Siena, Siena, Italy.,Med Biotech Hub and Competence Center, Department of Medical Biotechnologies, University of Siena, Siena, Italy.,Genetica Medica, Azienda Ospedaliero-Universitaria Senese, Siena, Italy
| | - Ilaria Longo
- Genetica Medica, Azienda Ospedaliero-Universitaria Senese, Siena, Italy
| | - Rossella Tita
- Genetica Medica, Azienda Ospedaliero-Universitaria Senese, Siena, Italy
| | - Giuseppe Castello
- Genetica Medica, Azienda Ospedaliero-Universitaria Senese, Siena, Italy
| | - Rosario Casalone
- SSD SMeL Citogenetica e Genetica Medica, ASST dei Settelaghi, Varese, Italy
| | - Rossana Righi
- SSD SMeL Citogenetica e Genetica Medica, ASST dei Settelaghi, Varese, Italy
| | - Barbara Raso
- ASL ROMA 1, Centro S.Anna, Dipartimento dei Laboratori, U.O.S.D. di Genetica medica, Roma, Italy
| | - Alessandro Civolani
- ASL ROMA 1, Centro S.Anna, Dipartimento dei Laboratori, U.O.S.D. di Genetica medica, Roma, Italy
| | - Maria Cristina Muzi
- ASL ROMA 1, Centro S.Anna, Dipartimento dei Laboratori, U.O.S.D. di Genetica medica, Roma, Italy
| | - Manuela di Natale
- ASL ROMA 1, Centro S.Anna, Dipartimento dei Laboratori, U.O.S.D. di Genetica medica, Roma, Italy
| | - Luigia Varriale
- UOSD Diagnostica Alta Complessità, Settore Genetica, Azienda Ospedaliera Ospedali Riuniti Marche Nord-Pesaro, Nord-Pesaro, Italy
| | - Daniela Gasperini
- Laboratorio Genetica e Genomica, Ospedale Microcitemico A.Cao, ARNAS Brotzu Cagliari, Cagliari, Italy
| | - Maria Cristina Nuzzi
- UOC Patologia Clinica - Sezione di Genetica Medica, Ospedale SS. Annunziata Taranto - ASL TARANTO, Taranto, Italy
| | - Angelo Cellamare
- UOC Patologia Clinica - Sezione di Genetica Medica, Ospedale SS. Annunziata Taranto - ASL TARANTO, Taranto, Italy
| | - Paola Casieri
- UOC Patologia Clinica - Sezione di Genetica Medica, Ospedale SS. Annunziata Taranto - ASL TARANTO, Taranto, Italy
| | - Rosa Busuito
- Laboratorio di Genetica Molecolare e Citogenetica - Sezione di Citogenetica, UOC Laboratorio Analisi - ASST Ovest Milanese, Legnano, Italy
| | | | - Carla Cesarano
- U.O.C Genetica Medica, Policlinico Riuniti Foggia, Foggia, Italy
| | - Orsola Privitera
- SOS Genetica e Diagnostica di Laboratorio, Azienda USL Toscana Centro, Presidio Ospedale S. Stefano, Prato, Italy
| | - Daniela Melani
- SOS Genetica e Diagnostica di Laboratorio, Azienda USL Toscana Centro, Presidio Ospedale S. Stefano, Prato, Italy
| | - Cristina Menozzi
- SSD Genetica Medica, Dipartimento Materno Infantile, AOU Policlinico Modena, Modena, Italy
| | - Cristina Falcinelli
- SSD Genetica Medica, Dipartimento Materno Infantile, AOU Policlinico Modena, Modena, Italy
| | - Olga Calabrese
- SSD Genetica Medica, Dipartimento Materno Infantile, AOU Policlinico Modena, Modena, Italy
| | - Paola Battaglia
- Laboratorio di Genetica, UOC Genetica Medica, AUSL Imola, Imola, Italy
| | | | - Tamara Stampalija
- Unit of Fetal Medicine and Prenatal Diagnosis, Institute for Maternal and Child Health, IRCCS Burlo Garofolo, Trieste, Italy.,Department of Medicine, Surgery and Health Sciences, University of Trieste, Trieste, Italy
| | - Carmela Ardisia
- Genetica Medica IRCCS Ospedale "Burlo Garofolo", Trieste, Italy
| | - Paolo Gasparini
- Genetica Medica IRCCS Ospedale "Burlo Garofolo", Trieste, Italy
| | - Peter Benn
- Department of Obstetrics and Gynecology, University of Connecticut Health Center, Farmington, Connecticut, USA
| | - Antonio Novelli
- U.O.C. Laboratorio di Genetica Medica, Ospedale Pediatrico del Bambino Gesù, IRCCS, Roma, Italy
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9
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Lee J, Lee SM, Ahn JM, Lee TR, Kim W, Cho EH, Ki CS. Development and performance evaluation of an artificial intelligence algorithm using cell-free DNA fragment distance for non-invasive prenatal testing (aiD-NIPT). Front Genet 2022; 13:999587. [DOI: 10.3389/fgene.2022.999587] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2022] [Accepted: 11/09/2022] [Indexed: 11/30/2022] Open
Abstract
With advances in next-generation sequencing technology, non-invasive prenatal testing (NIPT) has been widely implemented to detect fetal aneuploidies, including trisomy 21, 18, and 13 (T21, T18, and T13). Most NIPT methods use cell-free DNA (cfDNA) fragment count (FC) in maternal blood. In this study, we developed a novel NIPT method using cfDNA fragment distance (FD) and convolutional neural network-based artificial intelligence algorithm (aiD-NIPT). Four types of aiD-NIPT algorithm (mean, median, interquartile range, and its ensemble) were developed using 2,215 samples. In an analysis of 17,678 clinical samples, all algorithms showed >99.40% accuracy for T21/T18/T13, and the ensemble algorithm showed the best performance (sensitivity: 99.07%, positive predictive value (PPV): 88.43%); the FC-based conventional Z-score and normalized chromosomal value showed 98.15% sensitivity, with 40.77% and 36.81% PPV, respectively. In conclusion, FD-based aiD-NIPT was successfully developed, and it showed better performance than FC-based NIPT methods.
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10
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Demko Z, Prigmore B, Benn P. A Critical Evaluation of Validation and Clinical Experience Studies in Non-Invasive Prenatal Testing for Trisomies 21, 18, and 13 and Monosomy X. J Clin Med 2022; 11:jcm11164760. [PMID: 36012999 PMCID: PMC9410356 DOI: 10.3390/jcm11164760] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2022] [Revised: 07/28/2022] [Accepted: 08/11/2022] [Indexed: 11/25/2022] Open
Abstract
Non-invasive prenatal testing (NIPT) for trisomies 21, 18, 13 and monosomy X is widely utilized with massively parallel shotgun sequencing (MPSS), digital analysis of selected regions (DANSR), and single nucleotide polymorphism (SNP) analyses being the most widely reported methods. We searched the literature to find all NIPT clinical validation and clinical experience studies between January 2011 and January 2022. Meta-analyses were performed using bivariate random-effects and univariate regression models for estimating summary performance measures across studies. Bivariate meta-regression was performed to explore the influence of testing method and study design. Subgroup and sensitivity analyses evaluated factors that may have led to heterogeneity. Based on 55 validation studies, the detection rate (DR) was significantly higher for retrospective studies, while the false positive rate (FPR) was significantly lower for prospective studies. Comparing the performance of NIPT methods for trisomies 21, 18, and 13 combined, the SNP method had a higher DR and lower FPR than other methods, significantly so for MPSS, though not for DANSR. The performance of the different methods in the 84 clinical experience studies was consistent with validation studies. Clinical positive predictive values of all NIPT methods improved over the last decade. We conclude that all NIPT methods are highly effective for fetal aneuploidy screening, with performance differences across methodologies.
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Affiliation(s)
| | | | - Peter Benn
- Department of Genetics and Genome Sciences, UConn Health, Farmington, CT 06030, USA
- Correspondence:
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11
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Chen L, Wang L, Hu Z, Tao Y, Song W, An Y, Li X. Combining Z-Score and Maternal Copy Number Variation Analysis Increases the Positive Rate and Accuracy in Non-Invasive Prenatal Testing. Front Genet 2022; 13:887176. [PMID: 35719402 PMCID: PMC9201951 DOI: 10.3389/fgene.2022.887176] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2022] [Accepted: 05/02/2022] [Indexed: 11/13/2022] Open
Abstract
Objective: To evaluate positive rate and accuracy of non-invasive prenatal testing (NIPT) combining Z-score and maternal copy number variation (CNV) analysis. To assess the relationship between Z-score and positive predictive value (PPV). Methods: This prospective study included 61525 pregnancies to determine the correlation between Z-scores and PPV in NIPT, and 3184 pregnancies to perform maternal CNVs analysis. Positive results of NIPT were verified by prenatal diagnosis and/or following-up after birth. Z-score grouping, logistic regression analysis, receiver operating characteristic (ROC) curves, and S-curve trends were applied to correlation analysis of Z-scores and PPV. The maternal CNVs were classified according to the technical standard for the interpretation of ACMG. Through genetic counseling, fetal and maternal phenotypes and family histories were collected. Results: Of the 3184 pregnant women, 22 pregnancies were positive for outlier Z-scores, suggesting fetal aneuploidy. 12 out of 22 pregnancies were true positive (PPV = 54.5%). 17 pregnancies were found maternal pathogenic or likely pathogenic CNVs (> 0.5 Mb) through maternal CNV analysis. Prenatal diagnosis revealed that 7 out of 11 fetuses carried the same CNVs as the mother. Considering the abnormal biochemical indicators during pregnancy and CNV-related clinical phenotypes after birth, two male fetuses without prenatal diagnosis were suspected to carry the maternally-derived CNVs. Further, we identified three CNV-related family histories with variable phenotypes. Statistical analysis of the 61525 pregnancies revealed that Z-scores of chromosomes 21 and 18 were significantly associated with PPV at 3 ≤ Z ≤ 40. Notably, three pregnancies with Z > 40 were both maternal full aneuploidy. At Z < -3, fetuses carried microdeletions instead of monosomies. Sex chromosome trisomy was significantly higher PPV than monosomy. Conclusion: The positive rate of the NIPT screening model combining Z-score and maternal CNV analysis increased from 6.91‰ (22/3184) to 12.25‰ (39/3184) and true positives increased from 12 to 21 pregnancies. We found that this method could improve the positive rate and accuracy of NIPT for aneuploidies and CNVs without increasing testing costs. It provides an early warning for the inheritance of pathogenic CNVs to the next generation.
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Affiliation(s)
- Liheng Chen
- Department of Medical Genetics, Changzhi Maternal and Child Health Care Hospital, Changzhi, China
- School of Life Sciences, Fudan University, Shanghai, China
| | - Lihong Wang
- Department of Pediatrics, Changzhi Maternal and Child Health Care Hospital, Changzhi, China
| | - Zhipeng Hu
- Department of Medical Genetics, Changzhi Maternal and Child Health Care Hospital, Changzhi, China
| | - Yilun Tao
- Department of Medical Genetics, Changzhi Maternal and Child Health Care Hospital, Changzhi, China
| | - Wenxia Song
- Obstetrics Department, Changzhi Maternal and Child Health Care Hospital, Changzhi, China
| | - Yu An
- School of Life Sciences, Fudan University, Shanghai, China
- Human Phenome Institute, Zhangjiang Fudan International Innovation Center, MOE Key Laboratory of Contemporary Anthropology, Fudan University, Shanghai, China
| | - Xiaoze Li
- Department of Medical Genetics, Changzhi Maternal and Child Health Care Hospital, Changzhi, China
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12
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Butler MG, Miller BS, Romano A, Ross J, Abuzzahab MJ, Backeljauw P, Bamba V, Bhangoo A, Mauras N, Geffner M. Genetic conditions of short stature: A review of three classic examples. Front Endocrinol (Lausanne) 2022; 13:1011960. [PMID: 36339399 PMCID: PMC9634554 DOI: 10.3389/fendo.2022.1011960] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/04/2022] [Accepted: 09/20/2022] [Indexed: 11/30/2022] Open
Abstract
Noonan, Turner, and Prader-Willi syndromes are classical genetic disorders that are marked by short stature. Each disorder has been recognized for several decades and is backed by extensive published literature describing its features, genetic origins, and optimal treatment strategies. These disorders are accompanied by a multitude of comorbidities, including cardiovascular issues, endocrinopathies, and infertility. Diagnostic delays, syndrome-associated comorbidities, and inefficient communication among the members of a patient's health care team can affect a patient's well-being from birth through adulthood. Insufficient information is available to help patients and their multidisciplinary team of providers transition from pediatric to adult health care systems. The aim of this review is to summarize the clinical features and genetics associated with each syndrome, describe best practices for diagnosis and treatment, and emphasize the importance of multidisciplinary teams and appropriate care plans for the pediatric to adult health care transition.
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Affiliation(s)
- Merlin G. Butler
- Department of Psychiatry & Behavioral Sciences, University of Kansas Medical Center, Kansas City, KS, United States
- Department of Pediatrics, University of Kansas Medical Center, Kansas City, KS, United States
- *Correspondence: Merlin G. Butler,
| | - Bradley S. Miller
- Pediatric Endocrinology, University of Minnesota Masonic Children’s Hospital, Minneapolis, MN, United States
| | - Alicia Romano
- Department of Pediatrics, New York Medical College, Valhalla, NY, United States
| | - Judith Ross
- Department of Pediatrics, Nemours Children’s Health, Wilmington, DE, United States
- Department of Pediatrics, Thomas Jefferson University, Philadelphia, PA, United States
| | | | - Philippe Backeljauw
- Cincinnati Children’s Hospital Medical Center, University of Cincinnati College of Medicine, Cincinnati, OH, United States
| | - Vaneeta Bamba
- Division of Endocrinology, Children’s Hospital of Philadelphia; Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States
| | - Amrit Bhangoo
- Pediatric Endocrinology, Children's Health of Orange County (CHOC) Children’s Hospital, Orange, CA, United States
| | - Nelly Mauras
- Division of Endocrinology, Nemours Children’s Health, Jacksonville, FL, United States
| | - Mitchell Geffner
- The Saban Research Institute, Children’s Hospital Los Angeles, Los Angeles, CA, United States
- Keck School of Medicine, University of Southern California, Los Angeles, CA, United States
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13
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Swauger S, Backeljauw P, Hornung L, Shafer J, Casnellie L, Gutmark-Little I. Age at and indication for diagnosis of Turner syndrome in the pediatric population. Am J Med Genet A 2021; 185:3411-3417. [PMID: 34390317 DOI: 10.1002/ajmg.a.62459] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2021] [Revised: 04/30/2021] [Accepted: 07/09/2021] [Indexed: 01/15/2023]
Abstract
Early diagnosis of Turner syndrome (TS) enables timely intervention and may improve outcomes, but many are still diagnosed late. The objectives of our study were to describe the age and clinical features leading to diagnosis of TS in a large referral center. We hypothesize that newer testing modalities, such as noninvasive prenatal testing (NIPT), may lead to a decline in the age of diagnosis. Medical records of TS patients followed at The Cincinnati Center for Pediatric and Adult TS Care between 1997 and 2016 were reviewed for age at diagnosis, karyotype, and clinical indication(s). Patients (<18 years) were included (n = 239). Thirty-seven percent of patients were diagnosed prenatally or neonatally (≤1 month). The median age of diagnosis was 1.5 (IQR 0.0-10.0) years. If not made during those periods, the median age was 9.3 (IQR 3.2-12.5) years. The most common indications for diagnosis were before birth, unspecified prenatal testing (57%); in neonates/infants, lymphedema (21%); in childhood, short stature (72%); and in adolescence, short stature (45%) followed by pubertal delay with short stature (22%). The age of TS diagnosis in our cohort is young. However, when the diagnosis is not made before 1 year, the median age of diagnosis has not changed in recent years. The age at diagnosis could decrease with prenatal testing, although our study may not have assessed a long enough period of increased use of NIPT. Together with an increase in provider clinical awareness, this may result in more age-appropriate screening of comorbidities and earlier therapeutic intervention.
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Affiliation(s)
- Sarah Swauger
- Division of Pediatric Endocrinology, Cincinnati Children's Hospital Medical Center, University of Cincinnati College of Medicine, Cincinnati, Ohio, USA
| | - Philippe Backeljauw
- Division of Pediatric Endocrinology, Cincinnati Children's Hospital Medical Center, University of Cincinnati College of Medicine, Cincinnati, Ohio, USA
| | - Lindsey Hornung
- Division of Biostatistics and Epidemiology, Cincinnati Children's Hospital Medical Center, University of Cincinnati College of Medicine, Cincinnati, Ohio, USA
| | - Jessica Shafer
- Division of Pediatric Endocrinology, Cincinnati Children's Hospital Medical Center, University of Cincinnati College of Medicine, Cincinnati, Ohio, USA
| | - Lori Casnellie
- Division of Pediatric Endocrinology, Cincinnati Children's Hospital Medical Center, University of Cincinnati College of Medicine, Cincinnati, Ohio, USA
| | - Iris Gutmark-Little
- Division of Pediatric Endocrinology, Cincinnati Children's Hospital Medical Center, University of Cincinnati College of Medicine, Cincinnati, Ohio, USA
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14
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Mardy AH, Norton ME. Diagnostic testing after positive results on cell free DNA screening: CVS or Amnio? Prenat Diagn 2021; 41:1249-1254. [PMID: 34386984 DOI: 10.1002/pd.6021] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2021] [Revised: 06/03/2021] [Accepted: 07/06/2021] [Indexed: 12/16/2022]
Abstract
OBJECTIVE The positive predictive values of cell free DNA (cfDNA) and rates of confined placental mosaicism (CPM), imprinting and other factors vary by chromosome. METHODS We sought to review the literature for each of these features for each chromosome and provide recommendations on chorionic villus sampling (CVS) versus amniocentesis after an abnormal cfDNA result. RESULTS For chromosomes with high rates of CPM (trisomy 13, monosomy X and rare autosomal trisomies [RATs]), an amniocentesis should be considered if the first trimester ultrasound is normal. For monosomy X on cfDNA with an unaffected fetus, maternal karyotyping should be considered after normal fetal diagnostic testing. In cfDNA cases with a trisomy involving a chromosome with imprinted genes (6, 7, 11, 14, 15 and 20), CVS should be considered, followed by amniocentesis if abnormal. If the fetus is unaffected, methylation studies should be considered given the risk of uniparental disomy. A third trimester growth ultrasound should be considered for patients with a positive cfDNA screen for a RAT and an unaffected fetus, especially in the case of trisomy 16. For patients with multiple aneuploidy results on cfDNA, a work-up for maternal malignancy should be considered. CONCLUSIONS Clinicians should consider rates of CPM, imprinting, ultrasound findings and maternal factors when considering whether to recommend amniocentesis or CVS after an abnormal cfDNA result.
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Affiliation(s)
- Anne H Mardy
- Division of Maternal Fetal Medicine, University of California, San Francisco, California, USA
| | - Mary E Norton
- Division of Maternal Fetal Medicine, University of California, San Francisco, California, USA
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15
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Zhou L, Zhang B, Liu J, Shi Y, Wang J, Yu B. The Optimal Cutoff Value of Z-scores Enhances the Judgment Accuracy of Noninvasive Prenatal Screening. Front Genet 2021; 12:690063. [PMID: 34367249 PMCID: PMC8336938 DOI: 10.3389/fgene.2021.690063] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2021] [Accepted: 06/14/2021] [Indexed: 11/15/2022] Open
Abstract
Objective To evaluate the accuracy of Z-scores of noninvasive prenatal screening (NIPS) in predicting 21, 18 trisomy, and X chromosome aneuploidy. Methods A total of 39,310 prenatal women were recruited for NIPS from September 2015 to September 2020. Interventional prenatal diagnosis was applied to verify the diagnosis of NIPS-positive results. Logistic regression analysis was employed to relate the Z-scores to the positive predictive value (PPV) of NIPS-positive results. Using receiver operating characteristic (ROC) curves, we calculated the optimal cutoff value of Z-scores to predict fetal chromosome aneuploidy. According to the cutoff value, NIPS-positive results were divided into the medium Z-value (MZ) and high Z-value (HZ) groups, and PPV was calculated to access the accuracy of Z-scores. Results A total of 288 effective values of Z-scores were used as the final data set. The logistics regression analysis revealed that Z-scores were significantly associated with true-positive results for 21 trisomy (T21) and 18 trisomy (T18) (P < 0.05), whereas the same was not observed for X chromosome aneuploids (P > 0.05). The optimal cutoff value of the Z-score for T21, T18, XO, XXX, and XXY indicated by ROC curve analysis were 5.79, 6.05, −9.56, 5.89, and 4.47, and the area under the curve (AUC) were 0.89, 0.80, 0.48, 0.42, and 0.45, respectively. PPV in the HZ group was higher than that in the MZ group, and the application of the cutoff value reduced the false discovery rate (FDR), which was only 2.9% in the HZ group compared with 61.1% in the MZ group for T21 and T18. The difference in total PPV between the MZ and HZ groups for X chromosome aneuploids was statistically significant. Moreover, the PPV for XXX and XXY seemed to increase with Z-scores but not for XO. Conclusion The Z-score is helpful for the accurate judgment of NIPS results and for clinical prenatal counseling. Especially for T21 and T18, Z-scores have an excellent clinical association, which is superior to that seen with X chromosome aneuploids. In addition, using Z-scores to judge NIPS results offers a certain reference value for XXX and XXY but not for XO.
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Affiliation(s)
- Lingna Zhou
- Changzhou Maternity and Child Health Care Hospital Affiliated to Nanjing Medical University, Changzhou, China
| | - Bin Zhang
- Changzhou Maternity and Child Health Care Hospital Affiliated to Nanjing Medical University, Changzhou, China
| | - Jianbing Liu
- Changzhou Maternity and Child Health Care Hospital Affiliated to Nanjing Medical University, Changzhou, China
| | - Ye Shi
- Changzhou Maternity and Child Health Care Hospital Affiliated to Nanjing Medical University, Changzhou, China
| | - Jing Wang
- Changzhou Maternity and Child Health Care Hospital Affiliated to Nanjing Medical University, Changzhou, China
| | - Bin Yu
- Changzhou Maternity and Child Health Care Hospital Affiliated to Nanjing Medical University, Changzhou, China
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16
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Marcos AT, Navarro-Pando JM. Letter: cfDNA testing in recurrent pregnancy loss: a new step in the right way but still raw for the clinical area. Hum Reprod 2021; 36:827-829. [PMID: 33378535 DOI: 10.1093/humrep/deaa359] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Affiliation(s)
- Ana T Marcos
- Unidad de Genética, Instituto para el Estudio de la Biología de la Reproducción Humana (INEBIR), Sevilla, Spain.,Cátedra de Reproducción y Genética Humana, Facultad de Ciencias de la Salud, Universidad Europea del Atlántico, Santander, Spain.,Fundación Universitaria Iberoamericana (FUNIBER), Barcelona, Spain
| | - José Manuel Navarro-Pando
- Unidad de Genética, Instituto para el Estudio de la Biología de la Reproducción Humana (INEBIR), Sevilla, Spain.,Cátedra de Reproducción y Genética Humana, Facultad de Ciencias de la Salud, Universidad Europea del Atlántico, Santander, Spain.,Fundación Universitaria Iberoamericana (FUNIBER), Barcelona, Spain.,Director de la Unidad de Reproducción Humana y Cirugía Endoscópica, Instituto para el Estudio de la Biología de la Reproducción Humana (INEBIR), Sevilla, Spain
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17
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Junhui W, Ru L, Qiuxia Y, Dan W, Xiuhong S, Yongling Z, Xiangyi J, Fatao L, Xuewei T, Guilan C, Fan J, Fucheng L, Fang F, Yan L, Lina Z, Cuixing Y, Jian L, Dongzhi L, Can L. Evaluation of the Z-score accuracy of noninvasive prenatal testing for fetal trisomies 13, 18 and 21 at a single center. Prenat Diagn 2021; 41:690-696. [PMID: 33480032 DOI: 10.1002/pd.5908] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2020] [Revised: 12/16/2020] [Accepted: 01/16/2021] [Indexed: 12/12/2022]
Abstract
OBJECTIVE To assess the correlation between Z-scores of positive noninvasive prenatal testing (NIPT) results and the positive predictive value (PPV) of NIPT. METHODS Pregnancies with positive NIPT results at Guangzhou Women and Children's Medical Centre between July 2017 and May 2020 were included in this study. Fetal karyotyping or microarray analysis was provided to patients with abnormal NIPT results for confirmatory testing. Logistic regression analyses was applied to study the relationship between the Z scores and the PPV performance. The optimal cutoff values for indicating fetal common trisomies were obtained based on receiver operating characteristic (ROC) curve analysis, and then the PPV were calculated in pregnancies with positive NIPT results at Z-score greater than or equal to cutoff value and in patients with a Z-score between 3 and cutoff value respectively. RESULTS A total of 214 pregnancies with positive NIPT results for fetal common trisomies were validated by invasive prenatal diagnosis and follow up in this study. Of these, NIPT indicated trisomy 13 in 25 cases, trisomy 18 in 54 cases and trisomy 21 in 135 patients. Logistic regression analyses showed a significant association (p < 0.05) between the Z-scores and true positive results for T21 and T18. For T13, the significant association was not observed (p > 0.05). The ROC curve analysis showed that the optimal cutoff Z-score for indicating fetal trisomies 13, 18, and 21 were 6.889, 7.574 and 6.612 respectively, and the corresponding area under curve were 0.706, 0.916, and 0.954. In this cohort with abnormal NIPT results, the cutoff values revealed a sensitivity of 96.8% and a specificity of 90% for indicating trisomies 21, and a sensitivity of 88.9% and a specificity of 92.6% for trisomies 18. However, probably due to the sample size, the sensitivity and specificity for indicating trisomy 13 were lower (85.7% and 61.1%) than that for trisomies 21 and 18. The PPVs in pregnancies with positive NIPT results at Z-score greater than or equal to cutoff value were 99.18% (121/122) for trisomy 21, 92.31% (24/26) for trisomy 18 and 46.15% (6/13) for trisomy 13. In patients with a Z-score between 3 and cutoff Z-score, the PPV of NIPT for trisomies 21, 18, and 13 were 30.77% (4/13), 10.71% (3/28), and 8.33% (1/12) respectively. Moreover, by classifying Z scores as 3 ≤ Z < 5, 5 ≤ Z < 10, and Z ≥ 10, the majority of Z scores were above 10 with a PPV of 99% for T21 and just 5.2% were between 3 and 5 with a PPV of 14.3%. In contrast for T18, over a third of tests had Z scores between 3 and 5. The PPV in this group is just over 5%. CONCLUSIONS The present results show that the PPV performance of NIPT for fetal trisomies 13, 18, and 21 are closely associated with Z-score. The higher the Z-score, the greater the likelihood that the aneuploidy result is correct. Our experience in evaluating the Z-score accuracy of NIPT in this study could be of use in similar work.
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Affiliation(s)
- Wan Junhui
- Department of Prenatal Diagnostic Center, Guangzhou Women and Children's Medical Centre, Guangzhou Medical University, Guangzhou, P.R. China
| | - Li Ru
- Department of Prenatal Diagnostic Center, Guangzhou Women and Children's Medical Centre, Guangzhou Medical University, Guangzhou, P.R. China
| | - Yu Qiuxia
- Department of Prenatal Diagnostic Center, Guangzhou Women and Children's Medical Centre, Guangzhou Medical University, Guangzhou, P.R. China
| | - Wang Dan
- Department of Prenatal Diagnostic Center, Guangzhou Women and Children's Medical Centre, Guangzhou Medical University, Guangzhou, P.R. China
| | - Sun Xiuhong
- Department of Ultrasound, Guangzhou Women and Children's Medical Centre, Guangzhou Medical University, Guangzhou, P.R. China
| | - Zhang Yongling
- Department of Prenatal Diagnostic Center, Guangzhou Women and Children's Medical Centre, Guangzhou Medical University, Guangzhou, P.R. China
| | - Jing Xiangyi
- Department of Prenatal Diagnostic Center, Guangzhou Women and Children's Medical Centre, Guangzhou Medical University, Guangzhou, P.R. China
| | - Li Fatao
- Department of Prenatal Diagnostic Center, Guangzhou Women and Children's Medical Centre, Guangzhou Medical University, Guangzhou, P.R. China
| | - Tang Xuewei
- Department of Prenatal Diagnostic Center, Guangzhou Women and Children's Medical Centre, Guangzhou Medical University, Guangzhou, P.R. China
| | - Chen Guilan
- Department of Prenatal Diagnostic Center, Guangzhou Women and Children's Medical Centre, Guangzhou Medical University, Guangzhou, P.R. China
| | - Jiang Fan
- Department of Prenatal Diagnostic Center, Guangzhou Women and Children's Medical Centre, Guangzhou Medical University, Guangzhou, P.R. China
| | - Li Fucheng
- Department of Prenatal Diagnostic Center, Guangzhou Women and Children's Medical Centre, Guangzhou Medical University, Guangzhou, P.R. China
| | - Fu Fang
- Department of Prenatal Diagnostic Center, Guangzhou Women and Children's Medical Centre, Guangzhou Medical University, Guangzhou, P.R. China
| | - Li Yan
- Department of Prenatal Diagnostic Center, Guangzhou Women and Children's Medical Centre, Guangzhou Medical University, Guangzhou, P.R. China
| | - Zhang Lina
- Department of Prenatal Diagnostic Center, Guangzhou Women and Children's Medical Centre, Guangzhou Medical University, Guangzhou, P.R. China
| | - Yi Cuixing
- Department of Prenatal Diagnostic Center, Guangzhou Women and Children's Medical Centre, Guangzhou Medical University, Guangzhou, P.R. China
| | - Li Jian
- Department of Prenatal Diagnostic Center, Guangzhou Women and Children's Medical Centre, Guangzhou Medical University, Guangzhou, P.R. China
| | - Li Dongzhi
- Department of Prenatal Diagnostic Center, Guangzhou Women and Children's Medical Centre, Guangzhou Medical University, Guangzhou, P.R. China
| | - Liao Can
- Department of Prenatal Diagnostic Center, Guangzhou Women and Children's Medical Centre, Guangzhou Medical University, Guangzhou, P.R. China
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Bihunyak T, Bondarenko YI, Кulyanda OO, Charnosh SM, Sverstiuk AS, Bihuniak KO. CHROMOSOMAL DISEASES IN THE HUMAN PATHOLOGY. INTERNATIONAL JOURNAL OF MEDICINE AND MEDICAL RESEARCH 2020. [DOI: 10.11603/ijmmr.2413-6077.2020.1.11501] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
Background. Chromosomal diseases are the cause of 45-50 % of multiple birth defects. Basic research on mutations is performed using genomic technologies to identify a correlation between genotype and phenotype in aneuploidies and to understand its pathogenesis.
Objective. The aim of the research is to study the etiology, pathogenesis of symptoms and diagnostics for patients with Down, Klinefelter, Turner syndromes and double aneuploidies by 21 and sex chromosomes.
Methods. A literature review by the keywords “Down syndrome”, “Klinefelter syndrome”, “Turner syndrome”, “double aneuploidy” for the period of 2000-2020 was carried out.
Results. Down, Klinefelter and Turner syndromes are the most common aneuploidy among viable newborns. Frequency of meiotic non-disjunction events causing these aneuploidies increases with the age of a woman. Identified genes are responsible for pathogenesis of symptoms in trisomy 21, Turner and Klinefelter syndromes. Diagnostics of chromosomal diseases includes prenatal screening programs and postnatal testing.
Conclusions. Cytogenetic variants of Down syndrome are simple complete trisomy 21, translocation form and mosaicism. Trisomy 21 is associated with advanced maternal age. Phenotypic manifestations of Down syndrome are associated with the locus 21q22. The maternal and parental nondisjunction of X-chromosomes in meiosis causes Klinefelter and Turner syndromes. These chromosomal diseases are variants of intersexualism with intermediate chromosomal sex. Down-Klinefelter and Down-Turner syndromes are double aneuploidies. Patients have a Down syndrome phenotype at birth, and signs of Klinefelter and Turner syndromes occur during puberty. Diagnosis of aneuploidy is based on the cytogenetic investigation (karyotyping), DNA analysis, ultrasonography and biochemical markers of chromosomal pathology.
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Xie X, Tan W, Li F, Carrano E, Ramirez P, DiAdamo A, Grommisch B, Amato K, Chai H, Wen J, Li P. Diagnostic cytogenetic testing following positive noninvasive prenatal screening results of sex chromosome abnormalities: Report of five cases and systematic review of evidence. Mol Genet Genomic Med 2020; 8:e1297. [PMID: 32383339 PMCID: PMC7336728 DOI: 10.1002/mgg3.1297] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2020] [Revised: 04/14/2020] [Accepted: 04/15/2020] [Indexed: 12/23/2022] Open
Abstract
BACKGROUND Follow-up cytogenetic analysis has been recommended for cases with positive noninvasive prenatal screening (NIPS) results. This study of five cases with numerical and structural sex chromosomal abnormalities (SCA) and a review of large case series of NIPS provided guidance to improve prenatal diagnosis for SCA. METHODS Following positive NIPS results for SCA, karyotype analysis, chromosomal microarray analysis (CMA), fluorescence in situ hybridization (FISH), and locus-specific quantitative PCR were performed on cultured amniocytes, chorionic villi cells, and stimulated lymphocytes. Review of large case series was performed to evaluate the NIPS positive rate, follow-up rate of cytogenetic analysis, positive predictive value (PPV) for major types of SCA, and relative frequencies of subtypes of major SCA. RESULTS Of the five cases with positive NIPS for SCA, case 1 showed a mosaic pattern of monosomy X and isodicentric Y; case 2 showed a mosaic pattern of monosomy X confined to the placenta; cases 3 and 4 had an isochromosome of Xq, and case 5 showed a derivative chromosome 14 from a Yq/14p translocation of maternal origin. Review of literature showed that mean positive rate of NIPS for SCA was 0.61%, follow-up rate of cytogenetics analysis was 76%, and mean PPV for SCA was 48%. Mosaic patterns and structural rearrangements involving sex chromosomes were estimated in 3%-20% and 3% of SCA cases, respectively. CONCLUSION These five cases further demonstrated the necessity to pursue follow-up cytogenetic analysis to characterize mosaic patterns and structural abnormalities involving sex chromosomes and their value for prenatal genetic counseling. A workflow showing the performance of current NIPS and cytogenetic analysis for SCA was summarized. These results could facilitate an evidence-based approach to guide prenatal diagnosis of SCA.
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Affiliation(s)
- Xiaolei Xie
- Department of GeneticsYale University School of MedicineNew HavenCTUSA
- Prenatal Diagnosis CenterThe Sixth Affiliated Hospital of Guangzhou Medical UniversityQingyuan People’s HospitalQingyuanGuangdongChina
| | - Weihe Tan
- Prenatal Diagnosis CenterThe Sixth Affiliated Hospital of Guangzhou Medical UniversityQingyuan People’s HospitalQingyuanGuangdongChina
| | - Fuguang Li
- Prenatal Diagnosis CenterThe Sixth Affiliated Hospital of Guangzhou Medical UniversityQingyuan People’s HospitalQingyuanGuangdongChina
| | - Eric Carrano
- Department of GeneticsYale University School of MedicineNew HavenCTUSA
- Diagnostic Genetics Sciences ProgramUniversity of ConnecticutStorrsCTUSA
| | - Paola Ramirez
- Department of GeneticsYale University School of MedicineNew HavenCTUSA
- Diagnostic Genetics Sciences ProgramUniversity of ConnecticutStorrsCTUSA
| | - Autumn DiAdamo
- Department of GeneticsYale University School of MedicineNew HavenCTUSA
| | | | - Katherine Amato
- Department of GeneticsYale University School of MedicineNew HavenCTUSA
| | - Hongyan Chai
- Department of GeneticsYale University School of MedicineNew HavenCTUSA
| | - Jiadi Wen
- Department of GeneticsYale University School of MedicineNew HavenCTUSA
| | - Peining Li
- Department of GeneticsYale University School of MedicineNew HavenCTUSA
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The role of ultrasound in women with a positive NIPT result for trisomy 18 and 13. Taiwan J Obstet Gynecol 2020; 58:798-800. [PMID: 31759530 DOI: 10.1016/j.tjog.2019.09.012] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/16/2019] [Indexed: 10/25/2022] Open
Abstract
OBJECTIVE The aim of this study was to evaluate the usefulness of ultrasound in pregnancies with a positive non-invasive prenatal testing (NIPT) result for trisomy 18/13. MATERIALS AND METHODS During a four-year period, the pregnant women who were referred for invasive genetic testing because of positive NIPT results for trisomy 18/13 were included in this study. An in-depth ultrasound was done for these patients before invasive procedures. The data of fetal ultrasound and cytogenetic results were collected. RESULTS There were 81 patients with a positive NIPT result for trisomy 18/13, including 39 (30 positive for trisomy 18; 9 positive for trisomy 13) within 12-14 weeks of gestation, and 42 (31 positive for trisomy 18; 11 positive for trisomy 13) within 15-22 weeks. The PPV of NIPT was 60.7% for trisomy 18, and 30% for trisomy 13, respectively. When adding ultrasound to NIPT, the new PPV for trisomy 18 was 100%, and the negative predictive value (NPV) was 92.3%, with a NPV of 85.7% in the first trimester and a NPV of 100% in the second trimester, respectively. The new PPV and NPV for trisomy 13 were 100% and 100%, respectively. CONCLUSION By adding ultrasound to the NIPT, we achieved much higher PPVs and NPVs for trisomy 18/13. A normal scan can help to alleviate stress in parents caused by false positive NIPT results.
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Abstract
The last decade has seen incredible advances in the genetic era, in next-generation sequencing of cell-free DNA in the maternal plasma, detecting abnormal fetal chromosomes. Non-invasive prenatal testing (NIPT) has showed increased sensitivity and specificity for Down syndrome superior to any other screening test. Technical advances have made possible the detection of other conditions which does not necessarily mean clinical benefit for the patient. Private laboratories have added multiple conditions in the panel of NIPT, but some of these abnormalities are so rare, that their prevalence is not even clear. Data regarding clinical performance of extended NIPT is lacking. Implementation of such a test has to be carefully weighed, and not only the benefits but also the harm should be taken into account.
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Affiliation(s)
- Ioan Dumitru Suciu
- Department of General Surgery, Floreasca Emergency Hospital, Bucharest, Romania.,Carol Davila University of Medicine and Pharmacy, Bucharest, Romania
| | - Oana Daniela Toader
- Carol Davila University of Medicine and Pharmacy, Bucharest, Romania.,Department of Obstetrics and Gynecology, Alessandrescu-Rusescu Institute of Mother and Child Care, Bucharest, Romania
| | - Slavyana Galeva
- Department of Obstetrics and Gynecology, Il Sagbal Sheynovo Hospital, Sofia, Brunei Darussalam
| | - Lucian Pop
- Department of Obstetrics and Gynecology, Alessandrescu-Rusescu Institute of Mother and Child Care, Bucharest, Romania
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Audibert F, De Bie I, Johnson JA, Okun N, Wilson RD, Armour C, Chitayat D, Kim R. No. 348-Joint SOGC-CCMG Guideline: Update on Prenatal Screening for Fetal Aneuploidy, Fetal Anomalies, and Adverse Pregnancy Outcomes. JOURNAL OF OBSTETRICS AND GYNAECOLOGY CANADA 2019; 39:805-817. [PMID: 28859766 DOI: 10.1016/j.jogc.2017.01.032] [Citation(s) in RCA: 72] [Impact Index Per Article: 14.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
Abstract
OBJECTIVE To review the available prenatal screening options in light of the recent technical advances and to provide an update of previous guidelines in the field of prenatal screening. INTENDED USERS Health care providers involved in prenatal screening, including general practitioners, obstetricians, midwives, maternal fetal medicine specialists, geneticists, and radiologists. TARGET POPULATION All pregnant women receiving counselling and providing informed consent for prenatal screening. EVIDENCE Published literature was retrieved through searches of Medline, PubMed, and the Cochrane Library in and prior to March 2016 using an appropriate controlled vocabulary (prenatal diagnosis, amniocentesis, chorionic villi sampling, non-invasive prenatal screening) and key words (prenatal screening, prenatal genetic counselling). Results were restricted to systematic reviews, randomized control trials/controlled clinical trials, and observational studies written in English and published from January 1985 to May 2016. Searches were updated on a regular basis and incorporated in the guideline. Grey (unpublished) literature was identified through searching the websites of health technology assessment and health technology-related agencies, clinical practice guideline collections, clinical trial registries, and national and international medical speciality societies. GUIDELINE UPDATE Evidence will be reviewed 5 years after publication to determine whether all or part of the guideline should be updated. However, if important new evidence is published prior to the 5-year cycle, the review process may be accelerated for a more rapid update of some recommendations.
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A Silicon-based Coral-like Nanostructured Microfluidics to Isolate Rare Cells in Human Circulation: Validation by SK-BR-3 Cancer Cell Line and Its Utility in Circulating Fetal Nucleated Red Blood Cells. MICROMACHINES 2019; 10:mi10020132. [PMID: 30781548 PMCID: PMC6413103 DOI: 10.3390/mi10020132] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/24/2019] [Revised: 02/13/2019] [Accepted: 02/14/2019] [Indexed: 12/18/2022]
Abstract
Circulating fetal cells (CFCs) in maternal blood are rare but have a strong potential to be the target for noninvasive prenatal diagnosis (NIPD). "Cell RevealTM system" is a silicon-based microfluidic platform capable to capture rare cell populations in human circulation. The platform is recently optimized to enhance the capture efficiency and system automation. In this study, spiking tests of SK-BR-3 breast cancer cells were used for the evaluation of capture efficiency. Then, peripheral bloods from 14 pregnant women whose fetuses have evidenced non-maternal genomic markers (e.g., de novo pathogenic copy number changes) were tested for the capture of circulating fetal nucleated red blood cells (fnRBCs). Captured cells were subjected to fluorescent in situ hybridization (FISH) on chip or recovered by an automated cell picker for molecular genetic analyses. The capture rate for the spiking tests is estimated as 88.1%. For the prenatal study, 2⁻71 fnRBCs were successfully captured from 2 mL of maternal blood in all pregnant women. The captured fnRBCs were verified to be from fetal origin. Our results demonstrated that the Cell RevealTM system has a high capture efficiency and can be used for fnRBC capture that is feasible for the genetic diagnosis of fetuses without invasive procedures.
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24
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Kater-Kuipers A, Bunnik EM, de Beaufort ID, Galjaard RJH. Limits to the scope of non-invasive prenatal testing (NIPT): an analysis of the international ethical framework for prenatal screening and an interview study with Dutch professionals. BMC Pregnancy Childbirth 2018; 18:409. [PMID: 30340550 PMCID: PMC6194707 DOI: 10.1186/s12884-018-2050-4] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2017] [Accepted: 10/10/2018] [Indexed: 12/21/2022] Open
Abstract
Background The introduction of non-invasive prenatal testing (NIPT) for foetal aneuploidies is currently changing the field of prenatal screening in many countries. As it is non-invasive, safe and accurate, this technique allows for a broad implementation of first-trimester prenatal screening, which raises ethical issues, related, for instance, to informed choice and adverse societal consequences. This article offers an account of a leading international ethical framework for prenatal screening, examines how this framework is used by professionals working in the field of NIPT, and presents ethical guidance for the expansion of the scope of prenatal screening in practice. Methods A comparative analysis of authoritative documents is combined with 15 semi-structured interviews with professionals in the field of prenatal screening in the Netherlands. Data were recorded, transcribed verbatim and analysed using thematic analysis. Results The current ethical framework consists of four pillars: the aim of screening, the proportionality of the test, justice, and societal aspects. Respondents recognised and supported this framework in practice, but expressed some concerns. Professionals felt that pregnant women do not always make informed choices, while this is seen as central to reproductive autonomy (the aim of screening), and that pre-test counselling practices stand in need of improvement. Respondents believed that the benefits of NIPT, and of an expansion of its scope, outweigh the harms (proportionality), which are thought to be acceptable. They felt that the out-of-pocket financial contribution currently required by pregnant women constitutes a barrier to access to NIPT, which disproportionally affects those of a lower socioeconomic status (justice). Finally, professionals recognised but did not share concerns about a rising pressure to test or discrimination of disabled persons (societal aspects). Conclusions Four types of limits to the scope of NIPT are proposed: NIPT should generate only test outcomes that are relevant to reproductive decision-making, informed choice should be (made) possible through adequate pre-test counselling, the rights of future children should be respected, and equal access should be guaranteed. Although the focus of the interview study is on the Dutch healthcare setting, insights and conclusions can be applied internationally and to other healthcare systems.
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Affiliation(s)
- A Kater-Kuipers
- Department of Medical Ethics and Philosophy of Medicine, Erasmus MC, University Medical Centre Rotterdam, Room 24.17, Wytemaweg 80, 3015 CN, Rotterdam, The Netherlands
| | - E M Bunnik
- Department of Medical Ethics and Philosophy of Medicine, Erasmus MC, University Medical Centre Rotterdam, Room 24.17, Wytemaweg 80, 3015 CN, Rotterdam, The Netherlands.
| | - I D de Beaufort
- Department of Medical Ethics and Philosophy of Medicine, Erasmus MC, University Medical Centre Rotterdam, Room 24.17, Wytemaweg 80, 3015 CN, Rotterdam, The Netherlands
| | - R J H Galjaard
- Department of Clinical Genetics, Erasmus MC, University Medical Centre Rotterdam, Wytemaweg 80, 3015 CN, Rotterdam, The Netherlands
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25
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Rudd MK, Schleede JB, Williams SR, Lee K, Laffin J, Pasion R, Papenhausen PR. Monosomy X rescue explains discordant NIPT results and leads to uniparental isodisomy. Prenat Diagn 2018; 38:920-923. [PMID: 30156302 DOI: 10.1002/pd.5349] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2018] [Revised: 07/25/2018] [Accepted: 08/18/2018] [Indexed: 01/06/2023]
Abstract
Noninvasive prenatal testing accurately detects trisomy for chromosomes 13, 21, and 18, but has a significantly lower positive predictive value for monosomy X. Discordant monosomy X results are often assumed to be due to maternal mosaicism, usually without maternal follow-up. We describe a case of monosomy X-positive noninvasive prenatal testing that was discordant with the 46,XX results from amniocentesis and postnatal testing. This monosomy X pregnancy doubled the single X chromosome, leading to 45,X/46,XX mosaicism in the placenta and uniparental isodisomy X in the amniotic fluid. Thus, at least some discordant monosomy X results are due to true mosaicism in the pregnancy, which has important implications for clinical outcome and patient counseling.
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Affiliation(s)
- M Katharine Rudd
- Center for Molecular Biology and Pathology, Laboratory Corporation of America Holdings, Research Triangle Park, NC, USA
| | - Justin B Schleede
- Center for Molecular Biology and Pathology, Laboratory Corporation of America Holdings, Research Triangle Park, NC, USA
| | - Sabrina R Williams
- Savannah Perinatology Associates, Memorial University Medical Center, Savannah, GA, USA
| | - Kristy Lee
- Wisconsin State Laboratory of Hygiene Clinical Genetics Laboratories, University of Wisconsin Madison, Madison, WI, USA
| | - Jennifer Laffin
- Wisconsin State Laboratory of Hygiene Clinical Genetics Laboratories, University of Wisconsin Madison, Madison, WI, USA
| | - Romela Pasion
- Center for Molecular Biology and Pathology, Laboratory Corporation of America Holdings, Research Triangle Park, NC, USA
| | - Peter R Papenhausen
- Center for Molecular Biology and Pathology, Laboratory Corporation of America Holdings, Research Triangle Park, NC, USA
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26
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Tian Y, Zhang L, Tian W, Gao J, Jia L, Cui S. Analysis of the accuracy of Z-scores of non-invasive prenatal testing for fetal Trisomies 13, 18, and 21 that employs the ion proton semiconductor sequencing platform. Mol Cytogenet 2018; 11:49. [PMID: 30159034 PMCID: PMC6109306 DOI: 10.1186/s13039-018-0397-x] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2018] [Accepted: 08/13/2018] [Indexed: 12/11/2022] Open
Abstract
Background Non-invasive prenatal testing (NIPT) is frequently being used to screen for trisomies 13, 18 and 21 for prenatal diagnosis. However, NIPT performs poorly when compared with invasive testing and thus should not be used to diagnose trisomies. The result of NIPT for an individual woman in most genome-wide methods is calculated as a Z-score. The aim of this study was to assess the correlation between Z-scores of NIPT results and the accuracy of non-invasive prenatal testing. Results We evaluated 108 pregnant women with positive NIPT results, which were validated through karyotype analysis of amniotic fluid puncture by means of sequencing, bioinformatics analysis, and follow-up. Utilizing the ion proton semiconductor sequencing platform, we report a performance evaluation of NIPT-positive results at Third Affiliated Hospital of Zhengzhou University of Henan Province, China, by classifying Z-scores as 3 ≤ Z<5, 5 ≤ Z < 9 and Z ≥ 9. The findings indicate that positive NIPT results at Z ≥ 9 have a higher accuracy compared with positive NIPT results at 5 ≤ Z < 9 and 3 ≤ Z<5. Conclusions The findings show that Z-scores of NIPT results are closely related to the accuracy of non-invasive prenatal testing. However, false-positive NIPT results at 3 ≤ Z<5 may occur due to confined placental mosaicism (CPM).
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Affiliation(s)
- Yuan Tian
- 1Department of Clinical Laboratory, The Third Affiliated Hospital of Zhengzhou University, No. 7 Front Kangfu Street, Er'qi District, Zhengzhou, 450052 China
| | - Linlin Zhang
- 1Department of Clinical Laboratory, The Third Affiliated Hospital of Zhengzhou University, No. 7 Front Kangfu Street, Er'qi District, Zhengzhou, 450052 China
| | - Weifang Tian
- 1Department of Clinical Laboratory, The Third Affiliated Hospital of Zhengzhou University, No. 7 Front Kangfu Street, Er'qi District, Zhengzhou, 450052 China
| | - Jinshuang Gao
- 1Department of Clinical Laboratory, The Third Affiliated Hospital of Zhengzhou University, No. 7 Front Kangfu Street, Er'qi District, Zhengzhou, 450052 China
| | - Liting Jia
- 1Department of Clinical Laboratory, The Third Affiliated Hospital of Zhengzhou University, No. 7 Front Kangfu Street, Er'qi District, Zhengzhou, 450052 China
| | - Shihong Cui
- 2Department of gynaecology and obstetrics, The Third Affiliated Hospital of Zhengzhou University, No. 7 Front Kangfu Street, Er'qi District, Zhengzhou, 450052 China
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27
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Liang D, Lin Y, Qiao F, Li H, Wang Y, Zhang J, Liu A, Ji X, Ma D, Jiang T, Hu P, Xu Z. Perinatal outcomes following cell-free DNA screening in >32 000 women: Clinical follow-up data from a single tertiary center. Prenat Diagn 2018; 38:755-764. [PMID: 29966040 DOI: 10.1002/pd.5328] [Citation(s) in RCA: 33] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2018] [Revised: 06/24/2018] [Accepted: 06/25/2018] [Indexed: 12/17/2022]
Affiliation(s)
- Dong Liang
- State Key Laboratory of Reproductive Medicine, Department of Prenatal Diagnosis; The Affiliated Obstetrics and Gynecology Hospital of Nanjing Medical University, Nanjing Maternity and Child Health Care Hospital; Nanjing Jiangsu Province 210004 China
| | - Ying Lin
- State Key Laboratory of Reproductive Medicine, Department of Prenatal Diagnosis; The Affiliated Obstetrics and Gynecology Hospital of Nanjing Medical University, Nanjing Maternity and Child Health Care Hospital; Nanjing Jiangsu Province 210004 China
| | - Fengchang Qiao
- State Key Laboratory of Reproductive Medicine, Department of Prenatal Diagnosis; The Affiliated Obstetrics and Gynecology Hospital of Nanjing Medical University, Nanjing Maternity and Child Health Care Hospital; Nanjing Jiangsu Province 210004 China
| | - Hang Li
- State Key Laboratory of Reproductive Medicine, Department of Prenatal Diagnosis; The Affiliated Obstetrics and Gynecology Hospital of Nanjing Medical University, Nanjing Maternity and Child Health Care Hospital; Nanjing Jiangsu Province 210004 China
| | - Yan Wang
- State Key Laboratory of Reproductive Medicine, Department of Prenatal Diagnosis; The Affiliated Obstetrics and Gynecology Hospital of Nanjing Medical University, Nanjing Maternity and Child Health Care Hospital; Nanjing Jiangsu Province 210004 China
| | - Jingjing Zhang
- State Key Laboratory of Reproductive Medicine, Department of Prenatal Diagnosis; The Affiliated Obstetrics and Gynecology Hospital of Nanjing Medical University, Nanjing Maternity and Child Health Care Hospital; Nanjing Jiangsu Province 210004 China
| | - An Liu
- State Key Laboratory of Reproductive Medicine, Department of Prenatal Diagnosis; The Affiliated Obstetrics and Gynecology Hospital of Nanjing Medical University, Nanjing Maternity and Child Health Care Hospital; Nanjing Jiangsu Province 210004 China
| | - Xiuqing Ji
- State Key Laboratory of Reproductive Medicine, Department of Prenatal Diagnosis; The Affiliated Obstetrics and Gynecology Hospital of Nanjing Medical University, Nanjing Maternity and Child Health Care Hospital; Nanjing Jiangsu Province 210004 China
| | - Dingyuan Ma
- State Key Laboratory of Reproductive Medicine, Department of Prenatal Diagnosis; The Affiliated Obstetrics and Gynecology Hospital of Nanjing Medical University, Nanjing Maternity and Child Health Care Hospital; Nanjing Jiangsu Province 210004 China
| | - Tao Jiang
- State Key Laboratory of Reproductive Medicine, Department of Prenatal Diagnosis; The Affiliated Obstetrics and Gynecology Hospital of Nanjing Medical University, Nanjing Maternity and Child Health Care Hospital; Nanjing Jiangsu Province 210004 China
| | - Ping Hu
- State Key Laboratory of Reproductive Medicine, Department of Prenatal Diagnosis; The Affiliated Obstetrics and Gynecology Hospital of Nanjing Medical University, Nanjing Maternity and Child Health Care Hospital; Nanjing Jiangsu Province 210004 China
| | - Zhengfeng Xu
- State Key Laboratory of Reproductive Medicine, Department of Prenatal Diagnosis; The Affiliated Obstetrics and Gynecology Hospital of Nanjing Medical University, Nanjing Maternity and Child Health Care Hospital; Nanjing Jiangsu Province 210004 China
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Pertile MD, Halks-Miller M, Flowers N, Barbacioru C, Kinnings SL, Vavrek D, Seltzer WK, Bianchi DW. Rare autosomal trisomies, revealed by maternal plasma DNA sequencing, suggest increased risk of feto-placental disease. Sci Transl Med 2018; 9:9/405/eaan1240. [PMID: 28855395 PMCID: PMC10040211 DOI: 10.1126/scitranslmed.aan1240] [Citation(s) in RCA: 101] [Impact Index Per Article: 16.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2017] [Revised: 06/22/2017] [Accepted: 08/10/2017] [Indexed: 12/13/2022]
Abstract
Whole-genome sequencing (WGS) of maternal plasma cell-free DNA (cfDNA) can potentially evaluate all 24 chromosomes to identify abnormalities of the placenta, fetus, or pregnant woman. Current bioinformatics algorithms typically only report on chromosomes 21, 18, 13, X, and Y; sequencing results from other chromosomes may be masked. We hypothesized that by systematically analyzing WGS data from all chromosomes, we could identify rare autosomal trisomies (RATs) to improve understanding of feto-placental biology. We analyzed two independent cohorts from clinical laboratories, both of which used a similar quality control parameter, normalized chromosome denominator quality. The entire data set included 89,817 samples. Samples flagged for analysis and classified as abnormal were 328 of 72,932 (0.45%) and 71 of 16,885 (0.42%) in cohorts 1 and 2, respectively. Clinical outcome data were available for 57 of 71 (80%) of abnormal cases in cohort 2. Visual analysis of WGS data demonstrated RATs, copy number variants, and extensive genome-wide imbalances. Trisomies 7, 15, 16, and 22 were the most frequently observed RATs in both cohorts. Cytogenetic or pregnancy outcome data were available in 52 of 60 (87%) of cases with RATs in cohort 2. Cases with RATs detected were associated with miscarriage, true fetal mosaicism, and confirmed or suspected uniparental disomy. Comparing the trisomic fraction with the fetal fraction allowed estimation of possible mosaicism. Analysis and reporting of aneuploidies in all chromosomes can clarify cases in which cfDNA findings on selected "target" chromosomes (21, 18, and 13) are discordant with the fetal karyotype and may identify pregnancies at risk of miscarriage and other complications.
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Affiliation(s)
- Mark D Pertile
- Victorian Clinical Genetics Services, Murdoch Childrens Research Institute, Melbourne, Victoria 3052, Australia.,Department of Paediatrics, University of Melbourne, Melbourne, Victoria 3010, Australia
| | | | - Nicola Flowers
- Victorian Clinical Genetics Services, Murdoch Childrens Research Institute, Melbourne, Victoria 3052, Australia
| | | | | | | | | | - Diana W Bianchi
- Tufts Medical Center and Tufts University School of Medicine, Boston, MA 02111, USA. .,National Human Genome Research Institute, National Institutes of Health, Bethesda, MD 20892, USA
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Ma GC, Wu WJ, Lee MH, Lin YS, Chen M. Low-molecular-weight heparin associated with reduced fetal fraction and subsequent false-negative cell-free DNA test result for trisomy 21. ULTRASOUND IN OBSTETRICS & GYNECOLOGY : THE OFFICIAL JOURNAL OF THE INTERNATIONAL SOCIETY OF ULTRASOUND IN OBSTETRICS AND GYNECOLOGY 2018; 51:276-277. [PMID: 28337808 DOI: 10.1002/uog.17473] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/17/2017] [Revised: 03/14/2017] [Accepted: 03/17/2017] [Indexed: 06/06/2023]
Affiliation(s)
- G-C Ma
- Department of Genomic Medicine and Center for Medical Genetics, Changhua Christian Hospital, Changhua, Taiwan
- Department of Genomic Science and Technology, Changhua Christian Hospital Healthcare System, Changhua, Taiwan
- Institute of Biochemistry, Microbiology and Immunology, Chung Shan Medical University, Taichung, Taiwan
- Department of Medical Laboratory Science and Biotechnology, Central Taiwan University of Science and Technology, Taichung, Taiwan
| | - W-J Wu
- Department of Genomic Medicine and Center for Medical Genetics, Changhua Christian Hospital, Changhua, Taiwan
- Department of Obstetrics and Gynecology, Changhua Christian Hospital, Changhua, Taiwan
| | - M-H Lee
- Department of Genomic Medicine and Center for Medical Genetics, Changhua Christian Hospital, Changhua, Taiwan
| | - Y-S Lin
- Welgene Biotechnology Company, Nangang Business Park, Taipei, Taiwan
| | - M Chen
- Department of Genomic Medicine and Center for Medical Genetics, Changhua Christian Hospital, Changhua, Taiwan
- Department of Genomic Science and Technology, Changhua Christian Hospital Healthcare System, Changhua, Taiwan
- Department of Obstetrics and Gynecology, Changhua Christian Hospital, Changhua, Taiwan
- Department of Obstetrics and Gynecology, College of Medicine, National Taiwan University, Taipei, Taiwan
- Department of Medical Genetics, National Taiwan University Hospital, Taipei, Taiwan
- Department of Life Science, Tunghai University, Taichung, Taiwan
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Huang CE, Ma GC, Jou HJ, Lin WH, Lee DJ, Lin YS, Ginsberg NA, Chen HF, Chang FMC, Chen M. Noninvasive prenatal diagnosis of fetal aneuploidy by circulating fetal nucleated red blood cells and extravillous trophoblasts using silicon-based nanostructured microfluidics. Mol Cytogenet 2017; 10:44. [PMID: 29213331 PMCID: PMC5712079 DOI: 10.1186/s13039-017-0343-3] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2017] [Accepted: 11/02/2017] [Indexed: 12/20/2022] Open
Abstract
BACKGROUND Noninvasive prenatal testing (NIPT) based on cell-free DNA in maternal circulation has been accepted worldwide by the clinical community since 2011 but limitations, such as maternal malignancy and fetoplacental mosaicism, preclude its full replacement of invasive prenatal diagnosis. We present a novel silicon-based nanostructured microfluidics platform named as "Cell Reveal™" to demonstrate the feasibility of capturing circulating fetal nucleated red blood cells (fnRBC) and extravillous cytotrophoblasts (EVT) for cell-based noninvasive prenatal diagnosis (cbNIPD). METHODS The "Cell Reveal™" system is a silicon-based, nanostructured microfluidics using immunoaffinity to capture the trophoblasts and the nucleated RBC (nRBC) with specific antibodies. The automated computer analysis software was used to identify the targeted cells through additional immunostaining of the corresponding antigens. The identified cells were retrieved for whole genome amplification for subsequent investigations by micromanipulation in one microchip, and left in situ for subsequent fluorescence in situ hybridization (FISH) in another microchip. When validation, bloods from pregnant women (n = 24) at gestational age 11-13+6 weeks were enrolled. When verification, bloods from pregnant women (n = 5) receiving chorionic villus sampling or amniocentesis at gestation age 11+4-21 weeks with an aneuploid or euploid fetus were enrolled, followed by genetic analyses using FISH, short tandem repeat (STR) analyses, array comparative genomic hybridization, and next generation sequencing, in which the laboratory is blind to the fetal genetic complement. RESULTS The numbers of captured targeted cells were 1-44 nRBC/2 ml and 1-32 EVT/2 ml in the validation group. The genetic investigations performed in the verification group confirmed the captured cells to be fetal origin. In every 8 ml of the maternal blood being blindly tested, both fnRBC and EVT were always captured. The numbers of captured fetal cells were 14-22 fnRBC/4 ml and 1-44 EVT/4 ml of maternal blood. CONCLUSIONS This report is one of the first few to verify the capture of fnRBC in addition to EVT. The scalability of our automated system made us one step closer toward the goal of in vitro diagnostics.
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Affiliation(s)
- Chung-Er Huang
- International College of Semiconductor Technology, National Chiao-Tung University, Hsinchu, Taiwan
- Cytoaurora Biotechnologies, Inc. Hsinchu Science Park, Hsinchu, Taiwan
| | - Gwo-Chin Ma
- Department of Genomic Medicine and Center for Medical Genetics, Changhua Christian Hospital, Changhua, Taiwan
- Department of Genomic Science and Technology, Changhua Christian Hospital Healthcare System, Changhua, Taiwan
- Institute of Biochemistry, Microbiology and Immunology, Chung-Shan Medical University, Taichung, Taiwan
- Department of Medical Laboratory Science and Biotechnology, Central Taiwan University of Science and Technology, Taichung, Taiwan
| | - Hei-Jen Jou
- Department of Obstetrics and Gynecology, Taiwan Adventist Hospital, Taipei, Taiwan
- Department of Obstetrics and Gynecology, College of Medicine, National Taiwan University, Taipei, Taiwan
| | - Wen-Hsiang Lin
- Department of Genomic Medicine and Center for Medical Genetics, Changhua Christian Hospital, Changhua, Taiwan
- Department of Genomic Science and Technology, Changhua Christian Hospital Healthcare System, Changhua, Taiwan
| | - Dong-Jay Lee
- Department of Genomic Medicine and Center for Medical Genetics, Changhua Christian Hospital, Changhua, Taiwan
- Department of Genomic Science and Technology, Changhua Christian Hospital Healthcare System, Changhua, Taiwan
| | - Yi-Shing Lin
- Welgene Biotechnology Company, Nangang Business Park, Taipei, Taiwan
| | - Norman A. Ginsberg
- Department of Obstetrics and Gynecology, Feinberg School of Medicine, Northwestern University Medical Center, Chicago, IL USA
| | - Hsin-Fu Chen
- Department of Obstetrics and Gynecology, College of Medicine, National Taiwan University, Taipei, Taiwan
- Graduate Institute of Medical Genomics and Proteomics, College of Medicine, National Taiwan University, Taipei, Taiwan
| | - Frank Mau-Chung Chang
- Department of Electrical Engineering, University of California Los Angeles, Los Angeles, CA USA
- National Chiao-Tung University, Hsinchu, Taiwan
- Department of Obstetrics and Gynecology, Changhua Christian Hospital, Changhua, Taiwan
| | - Ming Chen
- Department of Genomic Medicine and Center for Medical Genetics, Changhua Christian Hospital, Changhua, Taiwan
- Department of Genomic Science and Technology, Changhua Christian Hospital Healthcare System, Changhua, Taiwan
- Department of Obstetrics and Gynecology, College of Medicine, National Taiwan University, Taipei, Taiwan
- National Chiao-Tung University, Hsinchu, Taiwan
- Department of Obstetrics and Gynecology, Changhua Christian Hospital, Changhua, Taiwan
- Department of Medical Genetics, National Taiwan University Hospital, Taipei, Taiwan
- Department of Life Science, Tunghai University, Taichung, Taiwan
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Petersen AK, Cheung SW, Smith JL, Bi W, Ward PA, Peacock S, Braxton A, Van Den Veyver IB, Breman AM. Positive predictive value estimates for cell-free noninvasive prenatal screening from data of a large referral genetic diagnostic laboratory. Am J Obstet Gynecol 2017; 217:691.e1-691.e6. [PMID: 29032050 DOI: 10.1016/j.ajog.2017.10.005] [Citation(s) in RCA: 108] [Impact Index Per Article: 15.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2017] [Revised: 09/29/2017] [Accepted: 10/03/2017] [Indexed: 02/07/2023]
Abstract
BACKGROUND Since its debut in 2011, cell-free fetal DNA screening has undergone rapid expansion with respect to both utilization and coverage. However, conclusive data regarding the clinical validity and utility of this screening tool, both for the originally included common autosomal and sex-chromosomal aneuploidies as well as the more recently added chromosomal microdeletion syndromes, have lagged behind. Thus, there is a continued need to educate clinicians and patients about the current benefits and limitations of this screening tool to inform pre- and posttest counseling, pre/perinatal decision making, and medical risk assessment/management. OBJECTIVE The objective of this study was to determine the positive predictive value and false-positive rates for different chromosomal abnormalities identified by cell-free fetal DNA screening using a large data set of diagnostic testing results on invasive samples submitted to the laboratory for confirmatory studies. STUDY DESIGN We tested 712 patient samples sent to our laboratory to confirm a cell-free fetal DNA screening result, indicating high risk for a chromosome abnormality. We compiled data from all cases in which the indication for confirmatory testing was a positive cell-free fetal DNA screen, including the common trisomies, sex chromosomal aneuploidies, microdeletion syndromes, and other large genome-wide copy number abnormalities. Testing modalities included fluorescence in situ hybridization, G-banded karyotype, and/or chromosomal microarray analysis performed on chorionic villus samples, amniotic fluid, or postnatally obtained blood samples. Positive predictive values and false-positive rates were calculated from tabulated data. RESULTS The positive predictive values for trisomy 13, 18, and 21 were consistent with previous reports at 45%, 76%, and 84%, respectively. For the microdeletion syndrome regions, positive predictive values ranged from 0% for detection of Cri-du-Chat syndrome and Prader-Willi/Angelman syndrome to 14% for 1p36 deletion syndrome and 21% for 22q11.2 deletion syndrome. Detection of sex chromosomal aneuploidies had positive predictive values of 26% for monosomy X, 50% for 47,XXX, and 86% for 47,XXY. CONCLUSION The positive predictive values for detection of common autosomal and sex chromosomal aneuploidies by cell-free fetal DNA screening were comparable with other studies. Identification of microdeletions was associated with lower positive predictive values and higher false-positive rates, likely because of the low prevalence of the individual targeted microdeletion syndromes in the general population. Although the obtained positive predictive values compare favorably with those seen in traditional screening approaches for common aneuploidies, they highlight the importance of educating clinicians and patients on the limitations of cell-free fetal DNA screening tests. Improvement of the cell-free fetal DNA screening technology and continued monitoring of its performance after introduction into clinical practice will be important to fully establish its clinical utility. Nonetheless, our data provide valuable information that may aid result interpretation, patient counseling, and clinical decision making/management.
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Affiliation(s)
- Andrea K Petersen
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX
| | - Sau Wai Cheung
- Baylor Genetics, Baylor College of Medicine, Houston, TX; Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX
| | - Janice L Smith
- Baylor Genetics, Baylor College of Medicine, Houston, TX; Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX
| | - Weimin Bi
- Baylor Genetics, Baylor College of Medicine, Houston, TX; Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX
| | - Patricia A Ward
- Baylor Genetics, Baylor College of Medicine, Houston, TX; Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX
| | - Sandra Peacock
- Baylor Genetics, Baylor College of Medicine, Houston, TX
| | - Alicia Braxton
- Baylor Genetics, Baylor College of Medicine, Houston, TX; Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX
| | - Ignatia B Van Den Veyver
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX; Department of Obstetrics and Gynecology, Baylor College of Medicine, Houston, TX; Texas Children's Hospital, Houston, TX
| | - Amy M Breman
- Baylor Genetics, Baylor College of Medicine, Houston, TX; Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX.
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Badeau M, Lindsay C, Blais J, Nshimyumukiza L, Takwoingi Y, Langlois S, Légaré F, Giguère Y, Turgeon AF, Witteman W, Rousseau F. Genomics-based non-invasive prenatal testing for detection of fetal chromosomal aneuploidy in pregnant women. Cochrane Database Syst Rev 2017; 11:CD011767. [PMID: 29125628 PMCID: PMC6486016 DOI: 10.1002/14651858.cd011767.pub2] [Citation(s) in RCA: 43] [Impact Index Per Article: 6.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
BACKGROUND Common fetal aneuploidies include Down syndrome (trisomy 21 or T21), Edward syndrome (trisomy 18 or T18), Patau syndrome (trisomy 13 or T13), Turner syndrome (45,X), Klinefelter syndrome (47,XXY), Triple X syndrome (47,XXX) and 47,XYY syndrome (47,XYY). Prenatal screening for fetal aneuploidies is standard care in many countries, but current biochemical and ultrasound tests have high false negative and false positive rates. The discovery of fetal circulating cell-free DNA (ccfDNA) in maternal blood offers the potential for genomics-based non-invasive prenatal testing (gNIPT) as a more accurate screening method. Two approaches used for gNIPT are massively parallel shotgun sequencing (MPSS) and targeted massively parallel sequencing (TMPS). OBJECTIVES To evaluate and compare the diagnostic accuracy of MPSS and TMPS for gNIPT as a first-tier test in unselected populations of pregnant women undergoing aneuploidy screening or as a second-tier test in pregnant women considered to be high risk after first-tier screening for common fetal aneuploidies. The gNIPT results were confirmed by a reference standard such as fetal karyotype or neonatal clinical examination. SEARCH METHODS We searched 13 databases (including MEDLINE, Embase and Web of Science) from 1 January 2007 to 12 July 2016 without any language, search filter or publication type restrictions. We also screened reference lists of relevant full-text articles, websites of private prenatal diagnosis companies and conference abstracts. SELECTION CRITERIA Studies could include pregnant women of any age, ethnicity and gestational age with singleton or multifetal pregnancy. The women must have had a screening test for fetal aneuploidy by MPSS or TMPS and a reference standard such as fetal karyotype or medical records from birth. DATA COLLECTION AND ANALYSIS Two review authors independently carried out study selection, data extraction and quality assessment (using the QUADAS-2 tool). Where possible, hierarchical models or simpler alternatives were used for meta-analysis. MAIN RESULTS Sixty-five studies of 86,139 pregnant women (3141 aneuploids and 82,998 euploids) were included. No study was judged to be at low risk of bias across the four domains of the QUADAS-2 tool but applicability concerns were generally low. Of the 65 studies, 42 enrolled pregnant women at high risk, five recruited an unselected population and 18 recruited cohorts with a mix of prior risk of fetal aneuploidy. Among the 65 studies, 44 evaluated MPSS and 21 evaluated TMPS; of these, five studies also compared gNIPT with a traditional screening test (biochemical, ultrasound or both). Forty-six out of 65 studies (71%) reported gNIPT assay failure rate, which ranged between 0% and 25% for MPSS, and between 0.8% and 7.5% for TMPS.In the population of unselected pregnant women, MPSS was evaluated by only one study; the study assessed T21, T18 and T13. TMPS was assessed for T21 in four studies involving unselected cohorts; three of the studies also assessed T18 and 13. In pooled analyses (88 T21 cases, 22 T18 cases, eight T13 cases and 20,649 unaffected pregnancies (non T21, T18 and T13)), the clinical sensitivity (95% confidence interval (CI)) of TMPS was 99.2% (78.2% to 100%), 90.9% (70.0% to 97.7%) and 65.1% (9.16% to 97.2%) for T21, T18 and T13, respectively. The corresponding clinical specificity was above 99.9% for T21, T18 and T13.In high-risk populations, MPSS was assessed for T21, T18, T13 and 45,X in 30, 28, 20 and 12 studies, respectively. In pooled analyses (1048 T21 cases, 332 T18 cases, 128 T13 cases and 15,797 unaffected pregnancies), the clinical sensitivity (95% confidence interval (CI)) of MPSS was 99.7% (98.0% to 100%), 97.8% (92.5% to 99.4%), 95.8% (86.1% to 98.9%) and 91.7% (78.3% to 97.1%) for T21, T18, T13 and 45,X, respectively. The corresponding clinical specificities (95% CI) were 99.9% (99.8% to 100%), 99.9% (99.8% to 100%), 99.8% (99.8% to 99.9%) and 99.6% (98.9% to 99.8%). In this risk group, TMPS was assessed for T21, T18, T13 and 45,X in six, five, two and four studies. In pooled analyses (246 T21 cases, 112 T18 cases, 20 T13 cases and 4282 unaffected pregnancies), the clinical sensitivity (95% CI) of TMPS was 99.2% (96.8% to 99.8%), 98.2% (93.1% to 99.6%), 100% (83.9% to 100%) and 92.4% (84.1% to 96.5%) for T21, T18, T13 and 45,X respectively. The clinical specificities were above 100% for T21, T18 and T13 and 99.8% (98.3% to 100%) for 45,X. Indirect comparisons of MPSS and TMPS for T21, T18 and 45,X showed no statistical difference in clinical sensitivity, clinical specificity or both. Due to limited data, comparative meta-analysis of MPSS and TMPS was not possible for T13.We were unable to perform meta-analyses of gNIPT for 47,XXX, 47,XXY and 47,XYY because there were very few or no studies in one or more risk groups. AUTHORS' CONCLUSIONS These results show that MPSS and TMPS perform similarly in terms of clinical sensitivity and specificity for the detection of fetal T31, T18, T13 and sex chromosome aneuploidy (SCA). However, no study compared the two approaches head-to-head in the same cohort of patients. The accuracy of gNIPT as a prenatal screening test has been mainly evaluated as a second-tier screening test to identify pregnancies at very low risk of fetal aneuploidies (T21, T18 and T13), thus avoiding invasive procedures. Genomics-based non-invasive prenatal testing methods appear to be sensitive and highly specific for detection of fetal trisomies 21, 18 and 13 in high-risk populations. There is paucity of data on the accuracy of gNIPT as a first-tier aneuploidy screening test in a population of unselected pregnant women. With respect to the replacement of invasive tests, the performance of gNIPT observed in this review is not sufficient to replace current invasive diagnostic tests.We conclude that given the current data on the performance of gNIPT, invasive fetal karyotyping is still the required diagnostic approach to confirm the presence of a chromosomal abnormality prior to making irreversible decisions relative to the pregnancy outcome. However, most of the gNIPT studies were prone to bias, especially in terms of the selection of participants.
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Affiliation(s)
- Mylène Badeau
- CHU de Québec ‐ Université LavalPopulation Health and Optimal Health Practices Research Axis45 Rue LeclercQuébec CityQCCanadaG1L 3L5
| | - Carmen Lindsay
- CHU de Québec ‐ Université LavalPopulation Health and Optimal Health Practices Research Axis45 Rue LeclercQuébec CityQCCanadaG1L 3L5
| | - Jonatan Blais
- CHAU‐Hôtel‐Dieu de LévisDepartment of Medical Biology143 Rue WolfeLévisQCCanadaG6V 3Z1
- Faculty of Medicine, Université LavalDepartment of Molecular Biology, Medical Biochemistry and PathologyQuebec CityQuebecCanada
| | - Leon Nshimyumukiza
- University of AlbertaSchool of Public Health8303 112 StreetEdmontonAlbertaCanadaT6G 2T4
| | - Yemisi Takwoingi
- University of BirminghamInstitute of Applied Health ResearchEdgbastonBirminghamUKB15 2TT
| | - Sylvie Langlois
- University of British ColumbiaDepartment of Medical Genetics, Faculty of MedicineC234, 4500 Oak StreetVancouverBCCanadaV6H 3N1
| | - France Légaré
- CHU de Québec ‐ Université LavalPopulation Health and Optimal Health Practices Research Axis45 Rue LeclercQuébec CityQCCanadaG1L 3L5
| | - Yves Giguère
- CHU de Québec ‐ Université LavalReproductive, Mother and Child Health Research Axis10, rue de l'Espinay, A2‐226Québec CityQCCanadaG1L 3L5
- Faculty of Medicine, Université LavalDepartment of Molecular Biology, Medical Biochemistry and Pathology10, rue de l'EspinayQuébec CityQcCanadaG1L 3L5
| | - Alexis F Turgeon
- CHU de Québec ‐ Université Laval, Université LavalDepartment of Anesthesiology and Critical Care Medicine, Division of Critical Care Medicine, and Population Health and Optimal Health Practices Research Unit, CHU de Québec ‐ Université Laval Research Center1401, 18eme rueQuebec CityQCCanadaG1J 1Z4
- CHU de Québec Research Center, Université LavalPopulation Health and Optimal Health Practices Research Axis1401, 18eme rueQuébec CityQuébecCanadaG1J 1Z4
| | - William Witteman
- CHU de Québec ‐ Université LavalPopulation Health and Optimal Health Practices Research Axis45 Rue LeclercQuébec CityQCCanadaG1L 3L5
| | - François Rousseau
- Faculty of Medicine, Université LavalDepartment of Molecular Biology, Medical Biochemistry and Pathology10, rue de l'EspinayQuébec CityQcCanadaG1L 3L5
- CHU de Québec Research Center, Université LavalPopulation Health and Optimal Health Practices Research Axis1401, 18eme rueQuébec CityQuébecCanadaG1J 1Z4
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Audibert F, De Bie I, Johnson JA, Okun N, Wilson RD, Armour C, Chitayat D, Kim R. N o 348-Directive clinique de la SOGC et du CCGM : mise à jour sur le dépistage prénatal de l’aneuploïdie fœtale, des anomalies fœtales et des issues défavorables de la grossesse. JOURNAL OF OBSTETRICS AND GYNAECOLOGY CANADA 2017; 39:818-832. [DOI: 10.1016/j.jogc.2017.05.011] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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Cherry AM, Akkari YM, Barr KM, Kearney HM, Rose NC, South ST, Tepperberg JH, Meck JM. Diagnostic cytogenetic testing following positive noninvasive prenatal screening results: a clinical laboratory practice resource of the American College of Medical Genetics and Genomics (ACMG). Genet Med 2017; 19:845-850. [PMID: 28726804 DOI: 10.1038/gim.2017.91] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2017] [Accepted: 05/11/2017] [Indexed: 01/05/2023] Open
Abstract
Disclaimer: ACMG Clinical Laboratory Practice Resources are developed primarily as an educational tool for clinical laboratory geneticists to help them provide quality clinical laboratory genetic services. Adherence to these practice resources is voluntary and does not necessarily assure a successful medical outcome. This Clinical Laboratory Practice Resource should not be considered inclusive of all proper procedures and tests or exclusive of other procedures and tests that are reasonably directed to obtaining the same results. In determining the propriety of any specific procedure or test, the clinical laboratory geneticist should apply his or her own professional judgment to the specific circumstances presented by the individual patient or specimen. Clinical laboratory geneticists are encouraged to document in the patient's record the rationale for the use of a particular procedure or test, whether or not it is in conformance with this Clinical Laboratory Practice Resource. They also are advised to take notice of the date any particular guideline was adopted, and to consider other relevant medical and scientific information that becomes available after that date. It also would be prudent to consider whether intellectual property interests may restrict the performance of certain tests and other procedures.Noninvasive prenatal screening (NIPS) using cell-free DNA has been rapidly adopted into prenatal care. Since NIPS is a screening test, diagnostic testing is recommended to confirm all cases of screen-positive NIPS results. For cytogenetics laboratories performing confirmatory testing on prenatal diagnostic samples, a standardized testing algorithm is needed to ensure that the appropriate testing takes place. This algorithm includes diagnostic testing by either chorionic villi sampling or amniocentesis samples and encompasses chromosome analysis, fluorescence in situ hybridization, and chromosomal microarray.
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Affiliation(s)
- Athena M Cherry
- Department of Pathology, Stanford University School of Medicine, Stanford Health Care, Stanford, California, USA
| | - Yassmine M Akkari
- Cytogenetics and Molecular Pathology, Legacy Laboratory Sciences, Legacy Health, Portland, Oregon, USA
| | - Kimberly M Barr
- Genetics Department, Kaiser Permanente, San Francisco, California, USA
| | - Hutton M Kearney
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minnesota, USA
| | - Nancy C Rose
- Department of Obstetrics and Gynecology, University of Utah, Intermountain Healthcare University of Utah, Salt Lake City, Utah, USA
| | | | - James H Tepperberg
- Clinical Cytogenetics Laboratory, Laboratory Corporation of America, Research Triangle Park, North Carolina, USA
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Strom CM, Anderson B, Tsao D, Zhang K, Liu Y, Livingston K, Elzinga C, Evans M, Nguyen Q, Wolfson D, Rowland C, Kolacki P, Maxwell M, Wang JC, Rabin D, Catanese J, Owen R, Braastad C, Sun W. Improving the Positive Predictive Value of Non-Invasive Prenatal Screening (NIPS). PLoS One 2017; 12:e0167130. [PMID: 28248967 PMCID: PMC5382935 DOI: 10.1371/journal.pone.0167130] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2016] [Accepted: 11/04/2016] [Indexed: 11/18/2022] Open
Abstract
We evaluated performance characteristics of a laboratory-developed, non-invasive prenatal screening (NIPS) assay for fetal aneuploidies. This assay employs massively parallel shotgun sequencing with full automation. GC sequencing bias correction and statistical smoothing were performed to enhance discrimination of affected and unaffected pregnancies. Maternal plasma samples from pregnancies with known aneuploidy status were used for assay development, verification, and validation. Assay verification studies using 2,085 known samples (1873 unaffected, 69 trisomy 21, 20 trisomy 18, 17 trisomy 13) demonstrated complete discrimination between autosomal trisomy (Z scores >8) and unaffected (Z scores <4) singleton pregnancies. A validation study using 552 known samples (21 trisomy 21, 10 trisomy 18, 1 trisomy 13) confirmed complete discrimination. Twin pregnancies showed similar results. Follow-up of abnormal results from the first 10,000 clinical samples demonstrated PPVs of 98% (41/42) for trisomy 21, 92% (23/25) for trisomy 18, and 69% (9/13) for trisomy 13. Adjustment for causes of false-positive results identified during clinical testing (eg, maternal duplications) improved PPVs to 100% for trisomy 21 and 96% for trisomy 18. This NIPS test demonstrates excellent discrimination between trisomic and unaffected pregnancies. The PPVs obtained in initial clinical testing are substantially higher than previously reported NIPS methods.
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Affiliation(s)
- Charles M. Strom
- Quest Diagnostics Nichols Institute, San Juan Capistrano, California, United States of America
- * E-mail:
| | - Ben Anderson
- Quest Diagnostics Nichols Institute, San Juan Capistrano, California, United States of America
| | - David Tsao
- Quest Diagnostics Nichols Institute, San Juan Capistrano, California, United States of America
| | - Ke Zhang
- Quest Diagnostics Nichols Institute, San Juan Capistrano, California, United States of America
| | - Yan Liu
- Quest Diagnostics Nichols Institute, San Juan Capistrano, California, United States of America
| | - Kayla Livingston
- Quest Diagnostics Nichols Institute, San Juan Capistrano, California, United States of America
| | | | - Matthew Evans
- Athena Diagnostics, Marlborough, Massachusetts, United States of America
| | - Quoclinh Nguyen
- Quest Diagnostics Nichols Institute, San Juan Capistrano, California, United States of America
| | - David Wolfson
- Celera Diagnostics, Alameda, California, United States of America
| | - Charles Rowland
- Celera Diagnostics, Alameda, California, United States of America
| | - Paula Kolacki
- Quest Diagnostics Nichols Institute, San Juan Capistrano, California, United States of America
| | - Megan Maxwell
- Quest Diagnostics Nichols Institute, San Juan Capistrano, California, United States of America
| | - Jia-Chi Wang
- Quest Diagnostics Nichols Institute, San Juan Capistrano, California, United States of America
| | - Douglas Rabin
- Quest Diagnostics Nichols Institute, San Juan Capistrano, California, United States of America
| | - Joseph Catanese
- Quest Diagnostics Nichols Institute, San Juan Capistrano, California, United States of America
| | - Renius Owen
- Quest Diagnostics Nichols Institute, San Juan Capistrano, California, United States of America
| | - Corey Braastad
- Athena Diagnostics, Marlborough, Massachusetts, United States of America
| | - Weimin Sun
- Quest Diagnostics Nichols Institute, San Juan Capistrano, California, United States of America
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Evans MI, Wapner RJ, Berkowitz RL. Noninvasive prenatal screening or advanced diagnostic testing: caveat emptor. Am J Obstet Gynecol 2016; 215:298-305. [PMID: 27131582 DOI: 10.1016/j.ajog.2016.04.029] [Citation(s) in RCA: 72] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2015] [Revised: 03/30/2016] [Accepted: 04/19/2016] [Indexed: 11/30/2022]
Abstract
The past few years have seen extraordinary advances in prenatal genetic practice led by 2 major technological advances; next-generation sequencing of cell-free DNA in the maternal plasma to noninvasively identify fetal chromosome abnormalities, and microarray analysis of chorionic villus sampling and amniotic fluid samples, resulting in increased cytogenetic resolution. Noninvasive prenatal screening of cell-free DNA has demonstrated sensitivity and specificity for trisomy 21 superior to all previous screening approaches with slightly lower performance for other common aneuploidies. These tests have rapidly captured an increasing market share, with substantial reductions in the number of chorionic villus sampling and amniocentesis performed suggesting that physicians and patients regard such screening approaches as an equivalent replacement for diagnostic testing. Simultaneously, many clinical programs have noted significant decreases in patient counseling. In 2012 the Eunice Kennedy Shriver National Institute of Child Health and Human Development funded a blinded comparison of karyotype with the emerging technology of array comparative genomic hybridization showing that in patients with a normal karyotype, 2.5% had a clinically relevant microdeletion or duplication identified. In pregnancies with an ultrasound-detected structural anomaly, 6% had an incremental finding, and of those with a normal scan, 1.6% had a copy number variant. For patients of any age with a normal ultrasound and karyotype, the chance of a pathogenic copy number variant is greater than 1%, similar to the age-related risk of aneuploidy in the fetus of a 38 year old. This risk is 4-fold higher than the risk of trisomy 21 in a woman younger than 30 years and 5- to 10-fold higher than the present accepted risk of a diagnostic procedure. Based on this, we contend that every patient, regardless of her age, be educated about these risks and offered the opportunity to have a diagnostic procedure with array comparative genomic hybridization performed.
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Affiliation(s)
- Mark I Evans
- Comprehensive Genetics PLLC and Department of Obstetrics and Gynecology, New York, NY; Mt Sinai School of Medicine, New York, NY.
| | - Ronald J Wapner
- Columbia University College of Physicians and Surgeons, New York, NY
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Davis S, Howell S, Wilson R, Tanda T, Ross J, Zeitler P, Tartaglia N. Advances in the Interdisciplinary Care of Children with Klinefelter Syndrome. Adv Pediatr 2016; 63:15-46. [PMID: 27426894 PMCID: PMC5340500 DOI: 10.1016/j.yapd.2016.04.020] [Citation(s) in RCA: 46] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Affiliation(s)
- Shanlee Davis
- Department of Pediatrics, University of Colorado School of Medicine, 13123 East 16th Avenue, Aurora, CO 80045, USA; Department of Endocrinology, Children's Hospital Colorado, University of Colorado School of Medicine, 13123 East 16th Avenue B265, Aurora, CO 80045, USA
| | - Susan Howell
- Department of Pediatrics, University of Colorado School of Medicine, 13123 East 16th Avenue, Aurora, CO 80045, USA; Developmental Pediatrics, Children's Hospital Colorado, University of Colorado School of Medicine, 13123 East 16th Avenue B140, Aurora, CO 80045, USA
| | - Rebecca Wilson
- Developmental Pediatrics, Children's Hospital Colorado, University of Colorado School of Medicine, 13123 East 16th Avenue B140, Aurora, CO 80045, USA
| | - Tanea Tanda
- Department of Pediatrics, University of Colorado School of Medicine, 13123 East 16th Avenue, Aurora, CO 80045, USA; Developmental Pediatrics, Children's Hospital Colorado, University of Colorado School of Medicine, 13123 East 16th Avenue B140, Aurora, CO 80045, USA
| | - Judy Ross
- Department of Pediatrics, Thomas Jefferson University School of Medicine, 833 Chestnut Street, Philadelphia, PA 19107, USA; Pediatric Endocrinology, Nemours A.I. DuPont Hospital for Children, 1600 Rockland Road, Wilmington, DE 19803, USA
| | - Philip Zeitler
- Department of Pediatrics, University of Colorado School of Medicine, 13123 East 16th Avenue, Aurora, CO 80045, USA; Department of Endocrinology, Children's Hospital Colorado, University of Colorado School of Medicine, 13123 East 16th Avenue B265, Aurora, CO 80045, USA
| | - Nicole Tartaglia
- Department of Pediatrics, University of Colorado School of Medicine, 13123 East 16th Avenue, Aurora, CO 80045, USA; Developmental Pediatrics, Children's Hospital Colorado, University of Colorado School of Medicine, 13123 East 16th Avenue B140, Aurora, CO 80045, USA.
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Oneda B, Steindl K, Masood R, Reshetnikova I, Krejci P, Baldinger R, Reissmann R, Taralczak M, Guetg A, Wisser J, Fauchère JC, Rauch A. Noninvasive prenatal testing: more caution in counseling is needed in high risk pregnancies with ultrasound abnormalities. Eur J Obstet Gynecol Reprod Biol 2016; 200:72-5. [DOI: 10.1016/j.ejogrb.2016.02.042] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2015] [Revised: 02/23/2016] [Accepted: 02/29/2016] [Indexed: 01/13/2023]
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Dar P, Gross SJ, Benn P. Positive predictive values and false-positive results in noninvasive prenatal screening. Am J Obstet Gynecol 2015; 213:595-6. [PMID: 26070701 DOI: 10.1016/j.ajog.2015.06.006] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2015] [Accepted: 06/01/2015] [Indexed: 10/23/2022]
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Non-invasive Prenatal Screening for Fetal Aneuploidy: Comparison with Cytogenetic Results. CURRENT GENETIC MEDICINE REPORTS 2015. [DOI: 10.1007/s40142-015-0072-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
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