19 results on '"Melissa Stosic"'
Search Results
2. Application of a framework to guide genetic testing communication across clinical indications
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Miranda L. G. Hallquist, Eric P. Tricou, Kelly E. Ormond, Juliann M. Savatt, Curtis R. Coughlin, W. Andrew Faucett, Laura Hercher, Howard P. Levy, Julianne M. O’Daniel, Holly L. Peay, Melissa Stosic, Maureen Smith, Wendy R. Uhlmann, Hannah Wand, Karen E. Wain, and Adam H. Buchanan
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Genetic testing ,Genetic counseling ,Informed consent ,Results disclosure ,Access ,Service delivery ,Medicine ,Genetics ,QH426-470 - Abstract
Abstract Background Genetic information is increasingly relevant across healthcare. Traditional genetic counseling (GC) may limit access to genetic information and may be more information and support than some individuals need. We report on the application and clinical implications of a framework to consistently integrate genetics expertise where it is most useful to patients. Methods The Clinical Genome Resource’s (ClinGen) Consent and Disclosure Recommendations (CADRe) workgroup designed rubrics to guide pre- and post-genetic test communication. Using a standard set of testing indications, pre- and post-test rubrics were applied to 40 genetic conditions or testing modalities with diverse features, including variability in levels of penetrance, clinical actionability, and evidence supporting a gene-disease relationship. Final communication recommendations were reached by group consensus. Results Communication recommendations were determined for 478 unique condition-indication or testing-indication pairs. For half of the conditions and indications (238/478), targeted discussions (moderate communication depth) were the recommended starting communication level for pre- and post-test conversations. Traditional GC was recommended pre-test for adult-onset neurodegenerative conditions for individuals with no personal history and post-test for most conditions when genetic testing revealed a molecular diagnosis as these situations are likely higher in complexity and uncertainty. A brief communication approach was recommended for more straightforward conditions and indications (e.g., familial hypercholesterolemia; familial variant testing). Conclusions The CADRe recommendations provide guidance for clinicians in determining the depth of pre- and post-test communication, strategically aligning the anticipated needs of patients with the starting communication approach. Shorter targeted discussions or brief communications are suggested for many tests and indications. Longer traditional GC consultations would be reserved for patients with more complex and uncertain situations where detailed information, education, and psychological support can be most beneficial. Future studies of the CADRe communication framework will be essential for determining if CADRe-informed care supports quality patient experience while improving access to genetic information across healthcare.
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- 2021
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3. Contributors
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Vimla Aggarwal, T.M. Barber, Christian M. Becker, Karanveer Bhangu, Mats Brännström, Carolyn J. Brown, Richard O. Burney, Antonio Capalbo, Wai-Yee Chan, Andy Chun Hang Chen, Chien-Wen Chen, Ming-Jer Chen, Zi-Jiang Chen, Ya-Ching Chou, Kwong Wai Choy, Hugh J. Clarke, Marcos Cordoba, Pernilla Dahm-Kähler, Mo-Yu Dai, Jessica Garcia de Paredes, Guo-Lian Ding, Zirui Dong, Jin Du, C. Eguizabal, Heather E. Fice, S. Franks, Qing-Qin Gao, Jessica Giordano, Linda C. Giudice, Jordan Gosnell, Ting Guo, Meade Haller, Tristan Hardy, Qilong He, L. Herrera, Ali Honaramooz, Cheng Huang, He-Feng Huang, Ghada Hussein, Sylvie Jaillard, Hai-Ping Jiang, Zi-Ru Jiang, Laura Kasak, Kazuhiro Kawamura, Ali Khatibi, Chaini Konwar, Maris Laan, Guan-Lin Lai, Jonathan LaMarre, Dolores J. Lamb, Yin Lau Lee, Yi-Xuan Lee, Brynn Levy, Xin-Yuan Li, Yao Li, Yu-Fei Li, Jinyue Liao, Ming Liu, Xiaodong Liu, Xin-Mei Liu, Y.M. Dennis Lo, Xinyi Ma, Yun-Yi Ma, M. Martin-Inaraja, Stacey A. Missmer, Kai Kei Miu, Grant Montgomery, N. Montserrat, Cynthia C. Morton, Maria Jose Navarro-Cobos, Robert J. Norman, Marisol O’Neill, Fanghong Ou, Yanli Pang, Maria S. Peñaherrera, Maurizio Poli, Jose M. Polo, Jie Qiao, Yingying Qin, Endah Rahmawati, Nilufer Rahmioglu, Bernard Robaire, Wendy P. Robinson, Alice P. Rogers, Peter A.W. Rogers, I. Romayor, Kristiina Rull, Victor A. Ruthig, Matthew A. Shanahan, Xuan Shao, Andrew H. Sinclair, Leanne Stalker, Kate Stanley, Melissa Stosic, Michael Strug, Hoi-Ching Suen, Jia Ping Tan, Jose M. Teixeira, Nannan Thirumavalavan, Jason C.H. Tsang, Allison Tscherner, Elena J. Tucker, Chii-Ruey Tzeng, Ignatia B. Van den Veyver, Margot van Riel, Joris R. Vermeesch, Liesbeth Vossaert, Wei Wang, Yan-Ling Wang, Zhangting Wang, Ronald Wapner, Nicholas Werry, Jeffrey T. White, Samantha L. Wilson, Jun Wu, Peng Xu, Liying Yan, Zhiqiang Yan, William Shu Biu Yeung, Stephanie C.Y. Yu, Peng Yuan, Victor Yuan, Fan Zhai, Shidou Zhao, Yue Zhao, Boryana Zhelyazkova, Qi Zhou, and Krina Zondervan
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- 2023
4. Chromosomal microarrays and next-generation sequencing for diagnosis of fetal abnormalities
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Brynn Levy, Melissa Stosic, Jessica Giordano, Ronald Wapner, and Vimla Aggarwal
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- 2023
5. Developing a conceptual, reproducible, rubric-based approach to consent and result disclosure for genetic testing by clinicians with minimal genetics background
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Kelly E. Ormond, Miranda L.G. Hallquist, Adam H. Buchanan, Danielle Dondanville, Mildred K. Cho, Maureen Smith, Myra Roche, Kyle B. Brothers, Curtis R. Coughlin, Laura Hercher, Louanne Hudgins, Seema Jamal, Howard P. Levy, Misha Raskin, Melissa Stosic, Wendy Uhlmann, Karen E. Wain, Erin Currey, and W. Andrew Faucett
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Adult ,Male ,0301 basic medicine ,Genetic testing ,Health Personnel ,Genetic counseling ,Decision Making ,Genetic Counseling ,Disclosure ,030105 genetics & heredity ,Article ,Formative assessment ,03 medical and health sciences ,0302 clinical medicine ,Informed consent ,Patient experience ,Genetics ,medicine ,Humans ,Workgroup ,Students ,Genetics (clinical) ,Language ,Informed Consent ,medicine.diagnostic_test ,Communication ,Rubric ,Results disclosure ,Focus group ,3. Good health ,030220 oncology & carcinogenesis ,Female ,Clinical Competence ,Psychology ,Confidentiality - Abstract
In response to genetic testing being widely ordered by nongenetics clinicians, the Consent and Disclosure Recommendations (CADRe) Workgroup of the Clinical Genome Resource (ClinGen; clinicalgenome.org ) developed guidance to facilitate communication about genetic testing and efficiently improve the patient experience. Considering ethical, legal, and social implications, and medical factors, CADRe developed and pilot tested two rubrics addressing consent for genetic testing and results disclosure. The CADRe rubrics allow for adjusting the communication approach based on circumstances specific to patients and ordering clinicians. We present results of a formative survey of 66 genetics clinicians to assess the consent rubric for nine genes (MLH1, CDH1, TP53, GJB2, OTC; DMD, HTT, and CYP2C9/VKORC1). We also conducted interviews and focus groups with family and patient stakeholders (N = 18), nongenetics specialists (N = 27), and genetics clinicians (N = 32) on both rubrics. Formative evaluation of the CADRe rubrics suggests key factors on which to make decisions about consent and disclosure discussions for a “typical” patient. We propose that the CADRe rubrics include the primary issues necessary to guide communication recommendations, and are ready for pilot testing by nongenetics clinicians. Consultation with genetics clinicians can be targeted toward more complex or intensive consent and disclosure counseling.
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- 2019
6. Whole-exome sequencing in the evaluation of fetal structural anomalies: a prospective cohort study
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David Goldstein, Melissa Stosic, Odelia Nahum, Louise Bier, Vimla S. Aggarwal, Colin D. Malone, Erica Spiegel, Brynn Levy, Jessica L. Giordano, Caroline Mebane, Ronald J. Wapner, Karen Wou, Kelly Brennan, Russell Miller, Nicholas Stong, Slavé Petrovski, Xiaolin Zhu, Quanli Wang, Sitharthan Kamalakaran, Kwame Anyane-Yeboa, Zhong Ren, and Vaidehi Jobanputra
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Male ,medicine.medical_specialty ,DNA Copy Number Variations ,Genetic Carrier Screening ,Abnormal Karyotype ,Aneuploidy ,Chorionic villus sampling ,030204 cardiovascular system & hematology ,Ultrasonography, Prenatal ,Fetal Development ,03 medical and health sciences ,Fetus ,0302 clinical medicine ,Pregnancy ,Exome Sequencing ,medicine ,Humans ,Abnormalities, Multiple ,Prospective Studies ,030212 general & internal medicine ,Copy-number variation ,Prospective cohort study ,Exome sequencing ,medicine.diagnostic_test ,Obstetrics ,business.industry ,General Medicine ,medicine.disease ,Chorionic Villi Sampling ,Cohort ,Amniocentesis ,Female ,business - Abstract
Summary Background Identification of chromosomal aneuploidies and copy number variants that are associated with fetal structural anomalies has substantial value. Although whole-exome sequencing (WES) has been applied to case series of a few selected prenatal cases, its value in routine clinical settings has not been prospectively assessed in a large unselected cohort of fetuses with structural anomalies. We therefore aimed to determine the incremental diagnostic yield (ie, the added value) of WES following uninformative results of standard investigations with karyotype testing and chromosomal microarray in an unselected cohort of sequential pregnancies showing fetal structural anomalies. Methods In this prospective cohort study, the parents of fetuses who were found to have a structural anomaly in a prenatal ultrasound were screened for possible participation in the study. These participants were predominantly identified in or were referred to the Columbia University Carmen and John Thain Center for Prenatal Pediatrics (New York, NY, USA). Fetuses with confirmed aneuploidy or a causal pathogenic copy number variant were excluded from WES analyses. By use of WES of the fetuses and parents (parent–fetus trios), we identified genetic variants that indicated an underlying cause (diagnostic genetic variants) and genetic variants that met the criteria of bioinformatic signatures that had previously been described to be significantly enriched among diagnostic genetic variants. Findings Between April 24, 2015, and April 19, 2017, 517 sequentially identified pregnant women found to have fetuses with a structural anomaly were screened for their eligibility for inclusion in our study. 71 (14%) couples declined testing, 87 (17%) trios were missing at least one DNA sample (from either parent or the fetus), 69 (13%) trios had a clinically relevant abnormal karyotype or chromosomal microarray finding, 51 (10%) couples did not consent to WES or withdrew consent, and five (1%) samples were not of good enough quality for analysis. DNA samples from 234 (45%) eligible trios were therefore used for analysis of the primary outcome. By use of trio sequence data, we identified diagnostic genetic variants in 24 (10%) families. Mutations with bioinformatic signatures that were indicative of pathogenicity but with insufficient evidence to be considered diagnostic were also evaluated; 46 (20%) of the 234 fetuses assessed were found to have such signatures. Interpretation Our analysis of WES data in a prospective cohort of unselected fetuses with structural anomalies shows the value added by WES following the use of routine genetic tests. Our findings suggest that, in cases of fetal anomalies in which assessment with karyotype testing and chromosomal microarray fail to determine the underlying cause of a structural anomaly, WES can add clinically relevant information that could assist current management of a pregnancy. The unique challenges of WES-based prenatal diagnostics require analysis by a multidisciplinary team of perinatal practitioners and laboratory specialists. Funding Institute for Genomic Medicine (Columbia University Irving Medical Center).
- Published
- 2019
7. Fetal fraction‐based risk algorithm for non‐invasive prenatal testing: screening for trisomies 13 and 18 and triploidy in women with low cell‐free fetal DNA
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Daniel H. Saltzman, K. LeChien, Peter Benn, Melissa Stosic, Allison M. Ryan, K. Gardiner, Stephanie Kareht, K. Marchand, Kimberly Martin, S. Krinshpun, A. McElheny, Trudy McKanna, C. Grabarits, M. Ali, and M. Hsu
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Trisomy 13 Syndrome ,maternal weight ,Chromosome Disorders ,Cohort Studies ,0302 clinical medicine ,Obstetrics and gynaecology ,Pregnancy ,Risk Factors ,Prenatal Diagnosis ,030212 general & internal medicine ,guidelines ,030219 obstetrics & reproductive medicine ,Radiological and Ultrasound Technology ,Incidence (epidemiology) ,Obstetrics and Gynecology ,Gestational age ,General Medicine ,Middle Aged ,Original Papers ,Cell-free fetal DNA ,Cohort ,Female ,Algorithm ,Cell-Free Nucleic Acids ,Algorithms ,Adult ,triploidy ,Adolescent ,Gestational Age ,Sensitivity and Specificity ,03 medical and health sciences ,Young Adult ,fetal fraction ,Predictive Value of Tests ,medicine ,Humans ,Radiology, Nuclear Medicine and imaging ,Fetus ,Original Paper ,trisomy ,business.industry ,Infant, Newborn ,medicine.disease ,Reproductive Medicine ,prenatal screening ,pregnancy loss ,Down Syndrome ,Trisomy ,business ,NIPT ,Trisomy 18 Syndrome - Abstract
Objective To identify pregnancies at increased risk for trisomy 13, trisomy 18 or triploidy attributable to low fetal fraction (FF). Methods A FF‐based risk (FFBR) model was built using data from more than 165 000 singleton pregnancies referred for single‐nucleotide polymorphism (SNP)‐based non‐invasive prenatal testing (NIPT). Based on maternal weight and gestational age (GA), FF distributions for normal, trisomy 13, trisomy 18 and triploid pregnancies were constructed and used to adjust prior risks for these abnormalities. A risk cut‐off of ≥ 1% was chosen to define pregnancies at high risk for trisomy 13, trisomy 18 or triploidy (high FFBR score). The model was evaluated on an independent blinded set of pregnancies for which SNP‐based NIPT did not return a result, and for which pregnancy outcome information was gathered retrospectively. Results The evaluation cohort comprised 1148 cases, of which approximately half received a high FFBR score. Compared with rates expected based on maternal age (MA) and GA, cases with a high FFBR score had a significantly increased rate of trisomy 13, trisomy 18 or triploidy combined (5.7% vs 0.7%; P
- Published
- 2018
8. Clinical experience with a single-nucleotide polymorphism-based non-invasive prenatal test for five clinically significant microdeletions
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Alexander Simon, Tina Truong, Kimberly Martin, Sushma Iyengar, Christine Lan, Akshita Kalyan, Zachary Demko, Peter Benn, Melissa Stosic, Harini Ravi, Allison M. Ryan, and Katie Kobara
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Adult ,0301 basic medicine ,medicine.medical_specialty ,Adolescent ,Referral ,Population ,Aneuploidy ,Single-nucleotide polymorphism ,030105 genetics & heredity ,Biology ,Polymorphism, Single Nucleotide ,Young Adult ,03 medical and health sciences ,Fetus ,0302 clinical medicine ,Pregnancy ,Prenatal Diagnosis ,Internal medicine ,DiGeorge Syndrome ,Genetics ,medicine ,Humans ,SNP ,Deletion syndrome ,Genetic Testing ,education ,Genetics (clinical) ,education.field_of_study ,030219 obstetrics & reproductive medicine ,Non invasive ,medicine.disease ,Predictive value ,Female ,Angelman Syndrome ,Chromosome Deletion - Abstract
Single-nucleotide polymorphism (SNP)-based non-invasive prenatal testing (NIPT) can currently predict a subset of submicroscopic abnormalities associated with severe clinical manifestations. We retrospectively analyzed the performance of SNP-based NIPT in 80 449 referrals for 22q11.2 deletion syndrome and 42 326 referrals for 1p36, cri-du-chat, Prader-Willi, and Angelman microdeletion syndromes over a 1-year period, and compared the original screening protocol with a revision that reflexively sequenced high-risk calls at a higher depth of read. The prevalence of these microdeletion syndromes was also estimated in the referral population. The positive predictive value of the original test was 15.7% for 22q11.2 deletion syndrome, and 5.2% for the other 4 disorders combined. With the revised protocol, these values increased to 44.2% for 22q11.2 and 31.7% for the others. The 0.33% false-positive rate (FPR) for 22q11.2 deletion syndrome decreased to 0.07% with the revised protocol. Similarly, the FPR for the other 4 disorders combined decreased from 0.56% to 0.07%. Minimal prevalences were estimated to be 1 in 1255 for 22q11.2 deletion syndrome and 1 in 1464 for 1p36, cri-du-chat, and Angelman syndromes combined. Our results show that these microdeletions are relatively common in the referral population, and that the performance of SNP-based NIPT is improved with high-depth resequencing.
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- 2017
9. Microarrays
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Melissa Stosic, Jessica L. Giordano, Brynn Levy, and Ronald Wapner
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- 2019
10. List of Contributors
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Joseph R. Biggio, Bryann Bromley, Lorraine Dugoff, P. Kaitlyn Edelson, Jessica L. Giordano, Anthony R. Gregg, Michael H. Guo, Stephanie Guseh, Susan Klugman, Jeffrey A. Kuller, Brynn Levy, Lauren Lichten, Tippi C. MacKenzie, Michael T. Mennuti, Quoc-Hung L. Nguyen, Mary E. Norton, Barbara M. O’Brien, Soha S. Patel, Malavika Prabhu, Sara Schonfeld Rabin-Havt, Aleksandar Rajkovic, Rebecca Reimers, Britton D. Rink, Melissa Stosic, Ignatia B. Van den Veyver, Ronald Wapner, Louise Wilkins-Haug, Russell G. Witt, and Svetlana A. Yatsenko
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- 2019
11. Contributors
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Svetlana Arbuzova, Komal Bajaj, Christian Becker, Tanmoy Bhattacharyya, Xiaotao Bian, Mats Brännström, Richard O. Burney, Dan D. Cao, Wai Y. Chan, Chien-Wen Chen, Ya-Ching Chou, Marco Conti, Zebulun S. Cope, Howard Cuckle, Mo-Yu Dai, Rabindranath De La Fuente, Guo-Lian Ding, Savina Dipresa, Jin Du, Cristina Eguizabal, Ecem Esencan, Alberto Ferlin, Jose Carlos Pinto B. Ferreira, Heather Fice, Carlo Foresta, Qing-Qin Gao, Jessica Giordano, Linda C. Giudice, Francesca Romana Grati, Susan J. Gross, Mary Ann Handel, Tristan Hardy, Cheng Huang, He-Feng Huang, Juan Carlos Izpisua Belmonte, Sylvie Jaillard, Hai-Ping Jiang, Zi-Ru Jiang, Laura Kasak, Travis Kent, Ahmed Khattab, Chaini Konwar, Maris Laan, Guan-Lin Lai, Jonathan LaMarre, Dolores J. Lamb, Yi-Xuan Lee, Brynn Levy, Yu-Fei Li, Ming Liu, Xin-Mei Liu, Y.M. Dennis Lo, Gang Lu, Xuan G. Luong, Stephen J. Lye, Xinyi Ma, Yun-Yi Ma, Federico Maggi, Jose Miravet-Valenciano, Stacey Missmer, Kai K. Miu, Grant Montgomery, Nuria Montserrat, Lubna Nadeem, Kavita Narang, Maria New, Anaïs Noblanc, Robert J. Norman, Elizabeth A. Normand, Marisol O’Neill, Maria S. Peñaherrera, Jie Qiao, Endah Rahmawati, Nilufer Rahmioglu, Svetlana Rechitsky, Bernard Robaire, Wendy P. Robinson, Peter A.W. Rogers, María Ruiz-Alonso, Kristiina Rull, Emre Seli, Johanna Selvaratnam, Oksana Shynlova, Carlos Simón, Giuseppe Simoni, Joe Leigh Simpson, Andrew H. Sinclair, Leanne Stalker, Melissa Stosic, Jose M. Teixeira, Nannan Thirumavalavan, Jason C.H. Tsang, Allison Tscherner, Elena J. Tucker, Chii-Ruey Tzeng, Ignatia B. Van den Veyver, Maria M. Viveiros, Hao Wang, Yan-Ling Wang, Ronald Wapner, Jeffrey T. White, Samantha L. Wilson, Liying Yan, Victor Yuan, Fan Zhai, Boryana Zhelyazkova, Qi Zhou, and Krina Zondervan
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- 2019
12. Chromosomal Microarrays and Exome Sequencing for Diagnosis of Fetal Abnormalities
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Melissa Stosic, Jessica L. Giordano, Brynn Levy, and Ronald J. Wapner
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Fetus ,business.industry ,Genetic counseling ,Chromosome ,Medicine ,Context (language use) ,Karyotype ,Advanced maternal age ,Copy-number variation ,business ,Bioinformatics ,Exome sequencing - Abstract
The G-banded karyotype has been the mainstay of prenatal diagnostic analysis for more than half a century. Two new approaches to genomic evaluation of the fetus have recently been introduced into prenatal testing. Chromosome microarray analysis (CMA) has a diagnostic resolution about 100 times that of karyotyping and has revealed submicroscopic clinically significant copy number variants (CNVs) in approximately 6% of fetuses with structural anomalies and in 1.2%–1.7% of structurally normal pregnancies sampled for advanced maternal age, positive screening, or maternal anxiety. Whole exome sequencing (WES) can identify a single altered base pair and adds an incremental diagnostic rate of about 14% in fetuses with structural anomalies when the karyotype and CMA are normal. The interpretation of CMA and WES data requires considerable experience and reporting of results needs to be done in the context of professional society guidelines. Genetic counseling is an integral part of offering these two new technologies.
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- 2019
13. Traditional Prenatal Diagnosis: Past to Present
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Brynn, Levy and Melissa, Stosic
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Pregnancy ,Prenatal Diagnosis ,Humans ,Female ,History, 20th Century ,History, 21st Century - Abstract
In the nearly 60 years since prenatal diagnosis for genetic disease was first offered, the field of prenatal diagnosis has progressed far past rudimentary uterine puncture to provide fetal material to assess gender and interpret risk. Concurrent with the improvements in invasive fetal sampling came technological advances in cytogenetics and molecular biology that widened both the scope of genetic disorders that could be diagnosed and also the resolution at which the human genome could be interrogated. Nowadays, routine blood work available to all pregnant women can determine the risk for common chromosome abnormalities; chorionic villus sampling (CVS) and amniocentesis can be used to diagnose nearly all conditions with a known genetic cause; and the genome and/or exome of a fetus with multiple anomalies can be sequenced in an attempt to determine the underlying etiology. This chapter will discuss some of the major advances in prenatal sampling and prenatal diagnostic laboratory techniques that have occurred over the past six decades.
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- 2018
14. Traditional Prenatal Diagnosis: Past to Present
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Brynn Levy and Melissa Stosic
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0301 basic medicine ,Pregnancy ,medicine.medical_specialty ,030219 obstetrics & reproductive medicine ,medicine.diagnostic_test ,business.industry ,Obstetrics ,Chorionic villus sampling ,Prenatal diagnosis ,Disease ,medicine.disease ,03 medical and health sciences ,030104 developmental biology ,0302 clinical medicine ,medicine ,Etiology ,Amniocentesis ,Sampling (medicine) ,business ,Exome - Abstract
In the nearly 60 years since prenatal diagnosis for genetic disease was first offered, the field of prenatal diagnosis has progressed far past rudimentary uterine puncture to provide fetal material to assess gender and interpret risk. Concurrent with the improvements in invasive fetal sampling came technological advances in cytogenetics and molecular biology that widened both the scope of genetic disorders that could be diagnosed and also the resolution at which the human genome could be interrogated. Nowadays, routine blood work available to all pregnant women can determine the risk for common chromosome abnormalities; chorionic villus sampling (CVS) and amniocentesis can be used to diagnose nearly all conditions with a known genetic cause; and the genome and/or exome of a fetus with multiple anomalies can be sequenced in an attempt to determine the underlying etiology. This chapter will discuss some of the major advances in prenatal sampling and prenatal diagnostic laboratory techniques that have occurred over the past six decades.
- Published
- 2018
15. Clinical experience with single‐nucleotide polymorphism‐based non‐invasive prenatal screening for 22q11.2 deletion syndrome
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Melissa Stosic, Joshua E. Babiarz, Katie Kobara, Rupin Dhamankar, Allison M. Ryan, Eser Kirkizlar, Zachary Demko, Anne S. Bassett, Bernhard Zimmermann, Nicholas Wayham, Peter Benn, Kristine N. Jinnett, Donna M. McDonald-McGinn, Anna Norvez, and Susan J. Gross
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0301 basic medicine ,Pediatrics ,Pregnancy, High-Risk ,Chromosomes, Human, Pair 22 ,030105 genetics & heredity ,0302 clinical medicine ,Obstetrics and gynaecology ,Pregnancy ,Prenatal Diagnosis ,False positive paradox ,Family history ,education.field_of_study ,030219 obstetrics & reproductive medicine ,Radiological and Ultrasound Technology ,ultrasound ,Obstetrics ,Obstetrics and Gynecology ,Syndrome ,General Medicine ,Original Papers ,Female ,Chromosome Deletion ,Adult ,medicine.medical_specialty ,Population ,Gestational Age ,Single-nucleotide polymorphism ,Polymorphism, Single Nucleotide ,03 medical and health sciences ,Predictive Value of Tests ,DiGeorge Syndrome ,medicine ,Humans ,SNP ,False Positive Reactions ,Radiology, Nuclear Medicine and imaging ,Genetic Testing ,education ,Retrospective Studies ,Original Paper ,Fetus ,business.industry ,DNA ,microdeletions ,medicine.disease ,cardiac defects ,Reproductive Medicine ,22q11.2 deletion syndrome ,business ,NIPT - Abstract
Objectives To evaluate the performance of a single-nucleotide polymorphism (SNP)-based non-invasive prenatal test (NIPT) for the detection of fetal 22q11.2 deletion syndrome in clinical practice, assess clinical follow-up and review patient choices for women with high-risk results. Methods In this study, 21 948 samples were submitted for screening for 22q11.2 deletion syndrome using a SNP-based NIPT and subsequently evaluated. Follow-up was conducted for all cases with a high-risk result. Results Ninety-five cases were reported as high risk for fetal 22q11.2 deletion. Diagnostic testing results were available for 61 (64.2%) cases, which confirmed 11 (18.0%) true positives and identified 50 (82.0%) false positives, resulting in a positive predictive value (PPV) of 18.0%. Information regarding invasive testing was available for 84 (88.4%) high-risk cases: 57.1% (48/84) had invasive testing and 42.9% (36/84) did not. Ultrasound anomalies were present in 81.8% of true-positive and 18.0% of false-positive cases. Two additional cases were high risk for a maternal 22q11.2 deletion; one was confirmed by diagnostic testing and one had a positive family history. There were three pregnancy terminations related to screening results of 22q11.2 deletion, two of which were confirmed as true positive by invasive testing. Conclusions Clinical experience with this SNP-based non-invasive screening test for 22q11.2 deletion syndrome indicates that these deletions have a frequency of approximately 1 in 1000 in the referral population with most identifiable through this test. Use of this screening method requires the availability of counseling and other management resources for high-risk pregnancies. © 2015 The Authors. Ultrasound in Obstetrics & Gynecology published by John Wiley & Sons Ltd. on behalf of the International Society of Ultrasound in Obstetrics and Gynecology.
- Published
- 2016
16. The Use of Chromosomal Microarray Analysis in Prenatal Diagnosis
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Brynn Levy, Melissa Stosic, and Ronald J. Wapner
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0301 basic medicine ,Microarray ,Genetic counseling ,Prenatal diagnosis ,Chromosome Disorders ,030105 genetics & heredity ,Bioinformatics ,03 medical and health sciences ,0302 clinical medicine ,Pregnancy ,Prenatal Diagnosis ,Medicine ,Humans ,Copy-number variation ,Genetic Testing ,Chromosome Aberrations ,030219 obstetrics & reproductive medicine ,Microarray analysis techniques ,business.industry ,Obstetrics and Gynecology ,Karyotype ,Geneticist ,Microarray Analysis ,humanities ,Laboratory reporting ,Female ,business - Abstract
Chromosomal microarray analysis (CMA) identifies microdeletions and duplications undetected on karyotype analysis. Copy number variants (CNVs) occur in 1% to 1.7% of all pregnancies, with clinical implications. All women undergoing invasive testing for routine indications should be offered microarray. Clinically significant CNVs are seen in approximately 6% of pregnancies with ultrasound anomalies, making CMAs the current standard of cytogenomic analysis. Clinicians should be familiar with different technologies and laboratory reporting practices. Pretest counseling is imperative and, when CMA results are abnormal, posttest counseling should be in-depth and conducted by a genetic counselor or clinical geneticist.
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- 2018
17. Single-Nucleotide Polymorphism–Based Noninvasive Prenatal Screening in a High-Risk and Low-Risk Cohort
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Sallie McAdoo, Allison M. Ryan, Matthew Hill, Styrmir Sigurjonsson, Michael Dodd, Nathan M. Hunkapiller, Melissa Stosic, Matthew Rabinowitz, Phil Lacroute, Howard Cuckle, Dennis Prosen, Bernhard Zimmermann, Zachary Demko, Nikhil Chopra, Eugene Pergament, Milena Banjevic, Asim Siddiqui, and Megan P. Hall
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Male ,medicine.medical_specialty ,Pathology ,Down syndrome ,Trisomy 13 Syndrome ,Aneuploidy ,Turner Syndrome ,Single-nucleotide polymorphism ,Prenatal diagnosis ,Chromosome Disorders ,Trisomy ,Polymorphism, Single Nucleotide ,Article ,Pregnancy ,Prenatal Diagnosis ,medicine ,Humans ,Young adult ,Oligonucleotide Array Sequence Analysis ,Chromosome Aberrations ,Chromosomes, Human, Pair 13 ,Obstetrics ,business.industry ,Obstetrics and Gynecology ,DNA ,medicine.disease ,Abortion, Spontaneous ,Cohort ,Aborted Fetus ,Female ,Down Syndrome ,business ,Chromosomes, Human, Pair 18 ,Trisomy 18 Syndrome - Abstract
Objective To estimate performance of a single-nucleotide-polymorphism–based noninvasive prenatal screen for fetal aneuploidy in high-risk and low-risk populations upon single venopuncture.
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- 2014
18. Expanding the scope of noninvasive prenatal testing: detection of fetal microdeletion syndromes
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Susan J. Gross, Allison Ryan, Matthew Hill, Ronald J. Wapner, Matthew Rabinowitz, Jing Hu, Milena Banjevic, Melissa Stosic, Asim Siddiqui, Joshua E. Babiarz, Bernhard Zimmermann, Megan P. Hall, Brynn Levy, Nicholas Wayham, Zachary Demko, Phil Lacroute, Styrmir Sigurjonsson, and Peter Benn
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congenital, hereditary, and neonatal diseases and abnormalities ,Pathology ,medicine.medical_specialty ,Population ,Aneuploidy ,Chromosome Disorders ,noninvasive prenatal testing ,Single-nucleotide polymorphism ,Polymorphism, Single Nucleotide ,law.invention ,Predictive Value of Tests ,Pregnancy ,Polymorphism (computer science) ,law ,Obstetrics and Gynaecology ,medicine ,False positive paradox ,Humans ,SNP ,False Positive Reactions ,Genetic Testing ,education ,Polymerase chain reaction ,Fetus ,education.field_of_study ,Plasma samples ,business.industry ,Obstetrics ,Reproducibility of Results ,nutritional and metabolic diseases ,Obstetrics and Gynecology ,Sequence Analysis, DNA ,Syndrome ,General Medicine ,single-nucleotide polymorphism ,medicine.disease ,nervous system diseases ,Female ,Chromosome Deletion ,microdeletion ,business ,Multiplex Polymerase Chain Reaction ,Algorithms ,Maternal Serum Screening Tests - Abstract
Objective The purpose of this study was to estimate the performance of a single-nucleotide polymorphism (SNP)–based noninvasive prenatal test for 5 microdeletion syndromes. Study Design Four hundred sixty-nine samples (358 plasma samples from pregnant women, 111 artificial plasma mixtures) were amplified with the use of a massively multiplexed polymerase chain reaction, sequenced, and analyzed with the use of the Next-generation Aneuploidy Test Using SNPs algorithm for the presence or absence of deletions of 22q11.2, 1p36, distal 5p, and the Prader-Willi/Angelman region. Results Detection rates were 97.8% for a 22q11.2 deletion (45/46) and 100% for Prader-Willi (15/15), Angelman (21/21), 1p36 deletion (1/1), and cri-du-chat syndromes (24/24). False-positive rates were 0.76% for 22q11.2 deletion syndrome (3/397) and 0.24% for cri-du-chat syndrome (1/419). No false positives occurred for Prader-Willi (0/428), Angelman (0/442), or 1p36 deletion syndromes (0/422). Conclusion SNP-based noninvasive prenatal microdeletion screening is highly accurate. Because clinically relevant microdeletions and duplications occur in >1% of pregnancies, regardless of maternal age, noninvasive screening for the general pregnant population should be considered.
- Published
- 2015
19. Clinical experience and follow-up with large scale single-nucleotide polymorphism–based noninvasive prenatal aneuploidy testing
- Author
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Melissa Stosic, Susan J. Gross, Matthew Rabinowitz, Megan P. Hall, Milena Banjevic, Paula L. Kolacki, Kirsten J. Curnow, Charles M. Strom, Matthew Hill, Bernhard Zimmermann, Susan W. Koch, Pe'er Dar, Styrmir Sigurjonsson, Zachary Demko, Peter Benn, and Allison M. Ryan
- Subjects
Adult ,Monosomy ,medicine.medical_specialty ,Adolescent ,Trisomy 13 Syndrome ,Population ,Turner Syndrome ,Aneuploidy ,noninvasive prenatal testing ,Chromosome Disorders ,Trisomy ,Single-nucleotide polymorphism ,Polymorphism, Single Nucleotide ,Young Adult ,Predictive Value of Tests ,Pregnancy ,Prenatal Diagnosis ,Obstetrics and Gynaecology ,Humans ,Medicine ,education ,Retrospective Studies ,Gynecology ,Fetus ,education.field_of_study ,Chromosomes, Human, Pair 13 ,business.industry ,Obstetrics ,Body Weight ,Obstetrics and Gynecology ,Gestational age ,DNA ,single-nucleotide polymorphism ,Middle Aged ,medicine.disease ,trisomy 21 ,low-risk ,Gestation ,Female ,Down Syndrome ,Chromosomes, Human, Pair 18 ,business ,Trisomy 18 Syndrome - Abstract
ObjectiveWe sought to report on laboratory and clinical experience following 6 months of clinical implementation of a single-nucleotide polymorphism–based noninvasive prenatal aneuploidy test in high- and low-risk women.Study DesignAll samples received from March through September 2013 and drawn ≥9 weeks’ gestation were included. Samples that passed quality control were analyzed for trisomy 21, trisomy 18, trisomy 13, and monosomy X. Results were reported as high or low risk for fetal aneuploidy for each interrogated chromosome. Relationships between fetal fraction and gestational age and maternal weight were analyzed. Follow-up on outcome was sought for a subset of high-risk cases. False-negative results were reported voluntarily by providers. Positive predictive value (PPV) was calculated from cases with an available prenatal or postnatal karyotype or clinical evaluation at birth.ResultsSamples were received from 31,030 patients, 30,705 met study criteria, and 28,739 passed quality-control metrics and received a report detailing aneuploidy risk. Fetal fraction correlated positively with gestational age, and negatively with maternal weight. In all, 507 patients received a high-risk result for any of the 4 tested conditions (324 trisomy 21, 82 trisomy 18, 41 trisomy 13, 61 monosomy X; including 1 double aneuploidy case). Within the 17,885 cases included in follow-up analysis, 356 were high risk, and outcome information revealed 184 (51.7%) true positives, 38 (10.7%) false positives, 19 (5.3%) with ultrasound findings suggestive of aneuploidy, 36 (10.1%) spontaneous abortions without karyotype confirmation, 22 (6.2%) terminations without karyotype confirmation, and 57 (16.0%) lost to follow-up. This yielded an 82.9% PPV for all aneuploidies, and a 90.9% PPV for trisomy 21. The overall PPV for women aged ≥35 years was similar to the PPV for women aged
- Published
- 2014
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