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Karuntu JS, Almushattat H, Nguyen XTA, Plomp AS, Wanders RJA, Hoyng CB, van Schooneveld MJ, Schalij-Delfos NE, Brands MM, Leroy BP, van Karnebeek CDM, Bergen AA, van Genderen MM, Boon CJF. Syndromic Retinitis Pigmentosa. Prog Retin Eye Res 2024:101324. [PMID: 39733931 DOI: 10.1016/j.preteyeres.2024.101324] [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: 07/17/2024] [Revised: 12/13/2024] [Accepted: 12/16/2024] [Indexed: 12/31/2024]
Abstract
Retinitis pigmentosa (RP) is a progressive inherited retinal dystrophy, characterized by the degeneration of photoreceptors, presenting as a rod-cone dystrophy. Approximately 20-30% of patients with RP also exhibit extra-ocular manifestations in the context of a syndrome. This manuscript discusses the broad spectrum of syndromes associated with RP, pathogenic mechanisms, clinical manifestations, differential diagnoses, clinical management approaches, and future perspectives. Given the diverse clinical and genetic landscape of syndromic RP, the diagnosis may be challenging. However, an accurate and timely diagnosis is essential for optimal clinical management, prognostication, and potential treatment. Broadly, the syndromes associated with RP can be categorized into ciliopathies, inherited metabolic disorders, mitochondrial disorders, and miscellaneous syndromes. Among the ciliopathies associated with RP, Usher syndrome and Bardet-Biedl syndrome are the most well-known. Less common ciliopathies include Cohen syndrome, Joubert syndrome, cranioectodermal dysplasia, asphyxiating thoracic dystrophy, Mainzer-Saldino syndrome, and RHYNS syndrome. Several inherited metabolic disorders can present with RP including Zellweger spectrum disorders, adult Refsum disease, α-methylacyl-CoA racemase deficiency, certain mucopolysaccharidoses, ataxia with vitamin E deficiency, abetalipoproteinemia, several neuronal ceroid lipofuscinoses, mevalonic aciduria, PKAN/HARP syndrome, PHARC syndrome, and methylmalonic acidaemia with homocystinuria type cobalamin (cbl) C disease. Due to the mitochondria's essential role in supplying continuous energy to the retina, disruption of mitochondrial function can lead to RP, as seen in Kearns-Sayre syndrome, NARP syndrome, primary coenzyme Q10 deficiency, SSBP1-associated disease, and long chain 3-hydroxyacyl-CoA dehydrogenase deficiency. Lastly, Cockayne syndrome and PERCHING syndrome can present with RP, but they do not fit the abovementioned hierarchy and are thus categorized as 'Miscellaneous'. Several first-in-human clinical trials are underway or in preparation for some of these syndromic forms of RP.
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Affiliation(s)
- Jessica S Karuntu
- Department of Ophthalmology, Leiden University Medical Center, Leiden, the Netherlands
| | - Hind Almushattat
- Department of Ophthalmology, Amsterdam University Medical Center, University of Amsterdam, Amsterdam, the Netherlands
| | - Xuan-Thanh-An Nguyen
- Department of Ophthalmology, Leiden University Medical Center, Leiden, the Netherlands
| | - Astrid S Plomp
- Department of Human Genetics, Amsterdam University Medical Center, University of Amsterdam, Amsterdam, the Netherlands; Amsterdam Reproduction & Development Institute, Amsterdam, the Netherlands
| | - Ronald J A Wanders
- Department of Paediatrics, Division of Metabolic Diseases, Amsterdam UMC location University of Amsterdam, Emma Children's Hospital, Amsterdam, The Netherlands; Laboratory Genetic Metabolic Diseases, Amsterdam University Medical Centre, University of Amsterdam, Amsterdam, the Netherlands
| | - Carel B Hoyng
- Department of Ophthalmology, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Mary J van Schooneveld
- Department of Ophthalmology, Amsterdam University Medical Center, University of Amsterdam, Amsterdam, the Netherlands
| | | | - Marion M Brands
- Amsterdam Reproduction & Development Institute, Amsterdam, the Netherlands; Department of Paediatrics, Division of Metabolic Diseases, Amsterdam UMC location University of Amsterdam, Emma Children's Hospital, Amsterdam, The Netherlands; Amsterdam Gastroenterology Endocrinology Metabolism, Inborn errors of metabolism, Amsterdam, The Netherlands
| | - Bart P Leroy
- Department of Ophthalmology & Center for Medical Genetics, Ghent University, Ghent, Belgium; Department of Head & Skin, Ghent University, Ghent, Belgium
| | - Clara D M van Karnebeek
- Department of Paediatrics, Division of Metabolic Diseases, Amsterdam UMC location University of Amsterdam, Emma Children's Hospital, Amsterdam, The Netherlands; Emma Center for Personalized Medicine, Departments of Pediatrics and Human Genetics, Amsterdam University Medical Center, Amsterdam, the Netherlands
| | - Arthur A Bergen
- Department of Human Genetics, Amsterdam University Medical Center, University of Amsterdam, Amsterdam, the Netherlands; Emma Center for Personalized Medicine, Departments of Pediatrics and Human Genetics, Amsterdam University Medical Center, Amsterdam, the Netherlands
| | - Maria M van Genderen
- Department of Ophthalmology, University Medical Center Utrecht, Utrecht, the Netherlands; Diagnostic Center for Complex Visual Disorders, Zeist, the Netherlands
| | - Camiel J F Boon
- Department of Ophthalmology, Leiden University Medical Center, Leiden, the Netherlands; Department of Ophthalmology, Amsterdam University Medical Center, University of Amsterdam, Amsterdam, the Netherlands
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Zion TN, Berrios CD, Cohen ASA, Bartik L, Cross LA, Engleman KL, Fleming EA, Gadea RN, Hughes SS, Jenkins JL, Kussmann J, Lawson C, Schwager C, Strenk ME, Welsh H, Rush ET, Amudhavalli SM, Sullivan BR, Zhou D, Gannon JL, Heese BA, Moore R, Boillat E, Biswell RL, Louiselle DA, Puckett LMB, Beyer S, Neal SH, Sierant V, McBeth M, Belden B, Walter AM, Gibson M, Cheung WA, Johnston JJ, Thiffault I, Farrow EG, Grundberg E, Pastinen T. Insurance denials and diagnostic rates in a pediatric genomic research cohort. Genet Med 2023; 25:100020. [PMID: 36718845 PMCID: PMC10584034 DOI: 10.1016/j.gim.2023.100020] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2022] [Revised: 01/12/2023] [Accepted: 01/12/2023] [Indexed: 01/29/2023] Open
Abstract
PURPOSE This study aimed to assess the amount and types of clinical genetic testing denied by insurance and the rate of diagnostic and candidate genetic findings identified through research in patients who faced insurance denials. METHODS Analysis consisted of review of insurance denials in 801 patients enrolled in a pediatric genomic research repository with either no previous genetic testing or previous negative genetic testing result identified through cross-referencing with insurance prior-authorizations in patient medical records. Patients and denials were also categorized by type of insurance coverage. Diagnostic findings and candidate genetic findings in these groups were determined through review of our internal variant database and patient charts. RESULTS Of the 801 patients analyzed, 147 had insurance prior-authorization denials on record (18.3%). Exome sequencing and microarray were the most frequently denied genetic tests. Private insurance was significantly more likely to deny testing than public insurance (odds ratio = 2.03 [95% CI = 1.38-2.99] P = .0003). Of the 147 patients with insurance denials, 53.7% had at least 1 diagnostic or candidate finding and 10.9% specifically had a clinically diagnostic finding. Fifty percent of patients with clinically diagnostic results had immediate medical management changes (5.4% of all patients experiencing denials). CONCLUSION Many patients face a major barrier to genetic testing in the form of lack of insurance coverage. A number of these patients have clinically diagnostic findings with medical management implications that would not have been identified without access to research testing. These findings support re-evaluation of insurance carriers' coverage policies.
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Affiliation(s)
- Tricia N Zion
- Department of Pediatrics, Children's Mercy Kansas City, Kansas City, MO; Department of Pathology and Laboratory Medicine, Children's Mercy Kansas City, Kansas City, MO; Division of Clinical Genetics, Department of Pediatrics, Children's Mercy Kansas City, Kansas City, MO.
| | - Courtney D Berrios
- Department of Pediatrics, Children's Mercy Kansas City, Kansas City, MO; Department of Pathology and Laboratory Medicine, Children's Mercy Kansas City, Kansas City, MO
| | - Ana S A Cohen
- Department of Pediatrics, Children's Mercy Kansas City, Kansas City, MO; Department of Pathology and Laboratory Medicine, Children's Mercy Kansas City, Kansas City, MO
| | - Lauren Bartik
- Division of Clinical Genetics, Department of Pediatrics, Children's Mercy Kansas City, Kansas City, MO; University of Kansas Medical Center, School of Professional Health Sciences, Kansas City, MO
| | - Laura A Cross
- Division of Clinical Genetics, Department of Pediatrics, Children's Mercy Kansas City, Kansas City, MO
| | - Kendra L Engleman
- Division of Clinical Genetics, Department of Pediatrics, Children's Mercy Kansas City, Kansas City, MO
| | - Emily A Fleming
- Division of Clinical Genetics, Department of Pediatrics, Children's Mercy Kansas City, Kansas City, MO
| | - Randi N Gadea
- Division of Clinical Genetics, Department of Pediatrics, Children's Mercy Kansas City, Kansas City, MO
| | - Susan S Hughes
- Division of Clinical Genetics, Department of Pediatrics, Children's Mercy Kansas City, Kansas City, MO
| | - Janda L Jenkins
- Department of Pathology and Laboratory Medicine, Children's Mercy Kansas City, Kansas City, MO; Division of Clinical Genetics, Department of Pediatrics, Children's Mercy Kansas City, Kansas City, MO
| | - Jennifer Kussmann
- Division of Clinical Genetics, Department of Pediatrics, Children's Mercy Kansas City, Kansas City, MO
| | - Caitlin Lawson
- Division of Clinical Genetics, Department of Pediatrics, Children's Mercy Kansas City, Kansas City, MO
| | - Caitlin Schwager
- Division of Clinical Genetics, Department of Pediatrics, Children's Mercy Kansas City, Kansas City, MO
| | - Meghan E Strenk
- Division of Clinical Genetics, Department of Pediatrics, Children's Mercy Kansas City, Kansas City, MO
| | - Holly Welsh
- Division of Clinical Genetics, Department of Pediatrics, Children's Mercy Kansas City, Kansas City, MO
| | - Eric T Rush
- Division of Clinical Genetics, Department of Pediatrics, Children's Mercy Kansas City, Kansas City, MO; Department of Internal Medicine, University of Kansas Medical Center, Kansas City, MO
| | - Shivarajan M Amudhavalli
- Division of Clinical Genetics, Department of Pediatrics, Children's Mercy Kansas City, Kansas City, MO
| | - Bonnie R Sullivan
- Division of Clinical Genetics, Department of Pediatrics, Children's Mercy Kansas City, Kansas City, MO
| | - Dihong Zhou
- Division of Clinical Genetics, Department of Pediatrics, Children's Mercy Kansas City, Kansas City, MO
| | - Jennifer L Gannon
- Division of Clinical Genetics, Department of Pediatrics, Children's Mercy Kansas City, Kansas City, MO
| | - Bryce A Heese
- Division of Clinical Genetics, Department of Pediatrics, Children's Mercy Kansas City, Kansas City, MO
| | - Riley Moore
- Department of Pediatrics, Children's Mercy Kansas City, Kansas City, MO; Department of Pathology and Laboratory Medicine, Children's Mercy Kansas City, Kansas City, MO
| | - Emelia Boillat
- Department of Pediatrics, Children's Mercy Kansas City, Kansas City, MO; Department of Pathology and Laboratory Medicine, Children's Mercy Kansas City, Kansas City, MO
| | - Rebecca L Biswell
- Department of Pediatrics, Children's Mercy Kansas City, Kansas City, MO; Department of Pathology and Laboratory Medicine, Children's Mercy Kansas City, Kansas City, MO
| | - Daniel A Louiselle
- Department of Pediatrics, Children's Mercy Kansas City, Kansas City, MO; Department of Pathology and Laboratory Medicine, Children's Mercy Kansas City, Kansas City, MO
| | - Laura M B Puckett
- Department of Pediatrics, Children's Mercy Kansas City, Kansas City, MO; Department of Pathology and Laboratory Medicine, Children's Mercy Kansas City, Kansas City, MO
| | - Shanna Beyer
- Department of Pediatrics, Children's Mercy Kansas City, Kansas City, MO; Department of Pathology and Laboratory Medicine, Children's Mercy Kansas City, Kansas City, MO
| | - Shelby H Neal
- Department of Pediatrics, Children's Mercy Kansas City, Kansas City, MO; Department of Pathology and Laboratory Medicine, Children's Mercy Kansas City, Kansas City, MO
| | - Victoria Sierant
- Department of Pediatrics, Children's Mercy Kansas City, Kansas City, MO; Department of Pathology and Laboratory Medicine, Children's Mercy Kansas City, Kansas City, MO
| | - Macy McBeth
- Department of Pediatrics, Children's Mercy Kansas City, Kansas City, MO; Department of Pathology and Laboratory Medicine, Children's Mercy Kansas City, Kansas City, MO
| | - Bradley Belden
- Department of Pediatrics, Children's Mercy Kansas City, Kansas City, MO; Department of Pathology and Laboratory Medicine, Children's Mercy Kansas City, Kansas City, MO
| | - Adam M Walter
- Department of Pediatrics, Children's Mercy Kansas City, Kansas City, MO; Department of Pathology and Laboratory Medicine, Children's Mercy Kansas City, Kansas City, MO
| | - Margaret Gibson
- Department of Pediatrics, Children's Mercy Kansas City, Kansas City, MO; Department of Pathology and Laboratory Medicine, Children's Mercy Kansas City, Kansas City, MO
| | - Warren A Cheung
- Department of Pediatrics, Children's Mercy Kansas City, Kansas City, MO; Department of Pathology and Laboratory Medicine, Children's Mercy Kansas City, Kansas City, MO
| | - Jeffrey J Johnston
- Department of Pediatrics, Children's Mercy Kansas City, Kansas City, MO; Department of Pathology and Laboratory Medicine, Children's Mercy Kansas City, Kansas City, MO
| | - Isabelle Thiffault
- Department of Pediatrics, Children's Mercy Kansas City, Kansas City, MO; Department of Pathology and Laboratory Medicine, Children's Mercy Kansas City, Kansas City, MO
| | - Emily G Farrow
- Department of Pediatrics, Children's Mercy Kansas City, Kansas City, MO; Department of Pathology and Laboratory Medicine, Children's Mercy Kansas City, Kansas City, MO
| | - Elin Grundberg
- Department of Pediatrics, Children's Mercy Kansas City, Kansas City, MO; Department of Pathology and Laboratory Medicine, Children's Mercy Kansas City, Kansas City, MO
| | - Tomi Pastinen
- Department of Pediatrics, Children's Mercy Kansas City, Kansas City, MO; Department of Pathology and Laboratory Medicine, Children's Mercy Kansas City, Kansas City, MO
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Karim S, Hussein IR, Schulten HJ, Alsaedi S, Mirza Z, Al-Qahtani M, Chaudhary A. Identification of Extremely Rare Pathogenic CNVs by Array CGH in Saudi Children with Developmental Delay, Congenital Malformations, and Intellectual Disability. CHILDREN 2023; 10:children10040662. [PMID: 37189911 DOI: 10.3390/children10040662] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/26/2022] [Revised: 03/15/2023] [Accepted: 03/28/2023] [Indexed: 04/03/2023]
Abstract
Chromosomal imbalance is implicated in developmental delay (DD), congenital malformations (CM), and intellectual disability (ID), and, thus, precise identification of copy number variations (CNVs) is essential. We therefore aimed to investigate the genetic heterogeneity in Saudi children with DD/CM/ID. High-resolution array comparative genomic hybridization (array CGH) was used to detect disease-associated CNVs in 63 patients. Quantitative PCR was done to confirm the detected CNVs. Giemsa banding-based karyotyping was also performed. Array CGH identified chromosomal abnormalities in 24 patients; distinct pathogenic and/or variants of uncertain significance CNVs were found in 19 patients, and aneuploidy was found in 5 patients including 47,XXY (n = 2), 45,X (n = 2) and a patient with trisomy 18 who carried a balanced Robertsonian translocation. CNVs including 9p24p13, 16p13p11, 18p11 had gains/duplications and CNVs, including 3p23p14, 10q26, 11p15, 11q24q25, 13q21.1q32.1, 16p13.3p11.2, and 20q11.1q13.2, had losses/deletions only, while CNVs including 8q24, 11q12, 15q25q26, 16q21q23, and 22q11q13 were found with both gains or losses in different individuals. In contrast, standard karyotyping detected chromosomal abnormalities in ten patients. The diagnosis rate of array CGH (28%, 18/63 patients) was around two-fold higher than that of conventional karyotyping (15.87%, 10/63 patients). We herein report, for the first time, the extremely rare pathogenic CNVs in Saudi children with DD/CM/ID. The reported prevalence of CNVs in Saudi Arabia adds value to clinical cytogenetics.
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Choi SA, Lee HS, Park TJ, Park S, Ko YJ, Kim SY, Lim BC, Kim KJ, Chae JH. Expanding the clinical phenotype and genetic spectrum of PURA-related neurodevelopmental disorders. Brain Dev 2021; 43:912-918. [PMID: 34116881 DOI: 10.1016/j.braindev.2021.05.009] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/08/2021] [Revised: 04/28/2021] [Accepted: 05/16/2021] [Indexed: 10/21/2022]
Abstract
BACKGROUND PURA-related neurodevelopmental disorders (PURA-NDDs) include 5q31.3 deletion syndrome and PURA syndrome. PURA-NDDs are characterized by neonatal hypotonia, moderate to severe global developmental delay/intellectual disability (GDD/ID), facial dysmorphism, epileptic seizures, nonepileptic movement disorders, and ophthalmological problems. PURA-NDDs have recently been identified and underestimated in neurodevelopmental cohorts, but their diagnosis is still challenging. METHODS We retrospectively reviewed the clinical characteristics, genetic spectrum, and diagnostic journey of patients with PURA-NDDs. RESULTS We report 2 patients with 5q31.3 microdeletion and 5 with PURA pathogenic variants. They demonstrated hypotonia (7/7, 100%), feeding difficulties (4/5, 80%), and respiratory problems (4/7, 57%) in the neonatal period. All of them had severe GDD/ID and could not achieve independent walking and verbal responses. Distinctive facial features of open-tented upper vermilion, long philtrum, and anteverted nares and poor visual fixation and tracking with or without nystagmus were most commonly found (5/7, 71.4%). There were no significant differences in clinical phenotypes between 5q31.3 microdeletion syndrome and PURA syndrome. PURA-NDDs need to be considered as a differential diagnosis in individuals who show severe hypotonia, including feeding difficulties since birth and severe developmental retardation with distinctive facial and ophthalmological features. CONCLUSIONS Our data expands the phenotypic and genetic spectrum of PURA-NDD. Next-generation sequencing methods based on the detailed phenotypic evaluation would shorten the diagnostic delay and would help this rare disorder become a recognizable cause of neurodevelopmental delay.
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Affiliation(s)
- Sun Ah Choi
- Department of Pediatrics, Ewha Womans University Medical Center, Ewha Womans University College of Medicine, Seoul, Republic of Korea
| | - Heun-Sik Lee
- Division of Genome Science, Department of Precision Medicine, National Institute of Health, Republic of Korea
| | - Tae-Joon Park
- Division of Genome Science, Department of Precision Medicine, National Institute of Health, Republic of Korea
| | - Soojin Park
- Department of Medicine, Seoul National University College of Medicine Graduate School, Seoul, Republic of Korea; Division of Pediatric Neurology, Department of Pediatrics, Pediatric Clinical Neuroscience Center, Seoul National University Children's Hospital, Seoul, Republic of Korea
| | - Young Jun Ko
- Division of Pediatric Neurology, Department of Pediatrics, Pediatric Clinical Neuroscience Center, Seoul National University Children's Hospital, Seoul, Republic of Korea
| | - Soo Yeon Kim
- Division of Pediatric Neurology, Department of Pediatrics, Pediatric Clinical Neuroscience Center, Seoul National University Children's Hospital, Seoul, Republic of Korea; Rare Disease Center, Seoul National University Hospital, Seoul, Republic of Korea
| | - Byung Chan Lim
- Division of Pediatric Neurology, Department of Pediatrics, Pediatric Clinical Neuroscience Center, Seoul National University Children's Hospital, Seoul, Republic of Korea; Rare Disease Center, Seoul National University Hospital, Seoul, Republic of Korea; Department of Pediatrics, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Ki Joong Kim
- Division of Pediatric Neurology, Department of Pediatrics, Pediatric Clinical Neuroscience Center, Seoul National University Children's Hospital, Seoul, Republic of Korea; Department of Pediatrics, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Jong-Hee Chae
- Division of Pediatric Neurology, Department of Pediatrics, Pediatric Clinical Neuroscience Center, Seoul National University Children's Hospital, Seoul, Republic of Korea; Rare Disease Center, Seoul National University Hospital, Seoul, Republic of Korea; Department of Pediatrics, Seoul National University College of Medicine, Seoul, Republic of Korea.
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Ison HE, Griffin EL, Parrott A, Shikany AR, Meyers L, Thomas MJ, Syverson E, Demo EM, Fitzgerald KK, Fitzgerald-Butt S, Ziegler KL, Schartman AF, Stone KM, Helm BM. Genetic counseling for congenital heart disease - Practice resource of the national society of genetic counselors. J Genet Couns 2021; 31:9-33. [PMID: 34510635 DOI: 10.1002/jgc4.1498] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2021] [Revised: 08/02/2021] [Accepted: 08/02/2021] [Indexed: 12/11/2022]
Abstract
Congenital heart disease (CHD) is an indication which spans multiple specialties across various genetic counseling practices. This practice resource aims to provide guidance on key considerations when approaching counseling for this particular indication while recognizing the rapidly changing landscape of knowledge within this domain. This resource was developed with consensus from a diverse group of certified genetic counselors utilizing literature relevant for CHD genetic counseling practice and is aimed at supporting genetic counselors who encounter this indication in their practice both pre- and postnatally.
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Affiliation(s)
- Hannah E Ison
- Stanford Center for Inherited Cardiovascular Disease, Stanford Health Care, Stanford, California, USA
| | - Emily L Griffin
- Department of Pediatrics, Columbia University Medical Center, New York, New York, USA
| | | | - Amy R Shikany
- Cincinnati Children's Hospital Medical Center, The Heart Institute, Cincinnati, Ohio, USA
| | | | - Matthew J Thomas
- Department of Pediatrics, Division of Genetics, University of Virginia School of Medicine, Charlottesville, Virginia, USA
| | - Erin Syverson
- Department of Pediatrics, Division of Genetics, Medical College of Wisconsin, Milwaukee, Wisconsin, USA
| | - Erin M Demo
- Sibley Heart Center Cardiology at Children's Healthcare of Atlanta, Atlanta, Georgia, USA
| | - Kristi K Fitzgerald
- Nemours Cardiac Center, Alfred I. DuPont Hospital for Children, Wilmington, Delaware, USA
| | - Sara Fitzgerald-Butt
- Department of Medical & Molecular Genetics, Indiana University School of Medicine, Indianapolis, Indiana, USA
| | | | - Allison F Schartman
- Department of Obstetrics & Gynecology, Division of Maternal Fetal Medicine, Indiana University Health, Indianapolis, Indiana, USA
| | - Kristyne M Stone
- Department of Obstetrics & Gynecology, Division of Maternal Fetal Medicine, Indiana University Health, Indianapolis, Indiana, USA
| | - Benjamin M Helm
- Department of Medical & Molecular Genetics, Indiana University School of Medicine, Indianapolis, Indiana, USA.,Department of Epidemiology, Indiana University Fairbanks School of Public Health, Indianapolis, Indiana, USA
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Abstract
Neurodevelopmental disorders are the most prevalent chronic medical conditions encountered in pediatric primary care. In addition to identifying appropriate descriptive diagnoses and guiding families to evidence-based treatments and supports, comprehensive care for individuals with neurodevelopmental disorders includes a search for an underlying etiologic diagnosis, primarily through a genetic evaluation. Identification of an underlying genetic etiology can inform prognosis, clarify recurrence risk, shape clinical management, and direct patients and families to condition-specific resources and supports. Here we review the utility of genetic testing in patients with neurodevelopmental disorders and describe the three major testing modalities and their yields - chromosomal microarray, exome sequencing (with/without copy number variant calling), and FMR1 CGG repeat analysis for fragile X syndrome. Given the diagnostic yield of genetic testing and the potential for clinical and personal utility, there is consensus that genetic testing should be offered to all patients with global developmental delay, intellectual disability, and/or autism spectrum disorder. Despite this recommendation, data suggest that a minority of children with autism spectrum disorder and intellectual disability have undergone genetic testing. To address this gap in care, we describe a structured but flexible approach to facilitate integration of genetic testing into clinical practice across pediatric specialties and discuss future considerations for genetic testing in neurodevelopmental disorders to prepare pediatric providers to care for patients with such diagnoses today and tomorrow.
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Affiliation(s)
- Juliann M. Savatt
- Autism & Developmental Medicine Institute, Geisinger, Danville, PA, United States
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7
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Kwon JH, Song YH, Yoon JM, Cheon EJ, Ko KO, Lim JW, Kim HJ. 14q12q13.3 Deletion Diagnosed Using Chromosomal Microarray Analysis in an Infant Showing Seizures, Hypoplasia of the Corpus Callosum, and Developmental Delay. NEONATAL MEDICINE 2020. [DOI: 10.5385/nm.2020.27.4.207] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/01/2022] Open
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8
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Aikman I, Makowski K, Wenger O, Rossman I, Solomon JD. Microcephaly, Hypotonia, and Intracranial Calcifications in an 11-Week-Old Boy. Pediatrics 2020; 146:peds.2019-2795. [PMID: 32820067 DOI: 10.1542/peds.2019-2795] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 06/25/2020] [Indexed: 11/24/2022] Open
Abstract
An 11-week-old unvaccinated, term Amish boy initially presented with poor feeding, microcephaly, failure to thrive, and developmental delays. His physical examination was significant for both weight and head circumference being less than the third percentile, and he was noted to have micrognathia, truncal hypotonia, and head lag. He was admitted to the pediatric hospital medicine service for further diagnostic evaluation. Laboratory studies assessing for endocrinological and metabolic etiologies yielded negative results, and imaging studies (including a chest radiograph, echocardiogram, and abdominal ultrasound) were normal. However, intracranial calcifications were noted on a head ultrasound. The etiology of his constellation of symptoms was initially thought to be infectious, but the ultimate diagnosis was not made until after discharge from the pediatric hospital medicine service.
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Affiliation(s)
- Inga Aikman
- Akron Children's Hospital, Akron, Ohio; .,Division of Critical Care and Hospital Medicine, Department of Pediatrics, Brody School of Medicine, East Carolina University, Greenville, North Carolina; and
| | | | - Olivia Wenger
- Akron Children's Hospital, Akron, Ohio.,New Leaf Center, Mount Eaton, Ohio
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Abstract
PURPOSE OF REVIEW Consanguinity can increase the risk for autosomal recessive conditions, along with autism spectrum disorder (ASD). Rarely outside of the genetics community is this discussed. Understanding its impact on the development of ASD and increasing awareness for physicians is important. RECENT FINDINGS ASD is a polygenic multifactorial disorder associated with morbidity and burden of care. Studies have confirmed its heritability, suspecting to an autosomal recessive transmission. Consanguinity increases the risk for uncovering recessive disorder and its role as an independent contributor for the development of ASD should be examined. With consanguinity being a known risk factor for autosomal recessive conditions, clinicians should routinely screen for it when evaluating for ASD, as this is inconsistently done. If suspected, genetic testing should be also recommended. Understanding current risk as well as future risk and providing families with the education to make the most informed decisions is necessary.
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10
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Reuter CM, Kohler JN, Bonner D, Zastrow D, Fernandez L, Dries A, Marwaha S, Davidson J, Brokamp E, Herzog M, Hong J, Macnamara E, Rosenfeld JA, Schoch K, Spillmann R, Loscalzo J, Krier J, Stoler J, Sweetser D, Palmer CG, Phillips JA, Shashi V, Adams DA, Yang Y, Ashley EA, Fisher PG, Mulvihill JJ, Bernstein JA, Wheeler MT. Yield of whole exome sequencing in undiagnosed patients facing insurance coverage barriers to genetic testing. J Genet Couns 2019; 28:1107-1118. [PMID: 31478310 PMCID: PMC6901723 DOI: 10.1002/jgc4.1161] [Citation(s) in RCA: 49] [Impact Index Per Article: 8.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2019] [Revised: 07/12/2019] [Accepted: 07/27/2019] [Indexed: 01/02/2023]
Abstract
BACKGROUND Despite growing evidence of diagnostic yield and clinical utility of whole exome sequencing (WES) in patients with undiagnosed diseases, there remain significant cost and reimbursement barriers limiting access to such testing. The diagnostic yield and resulting clinical actions of WES for patients who previously faced insurance coverage barriers have not yet been explored. METHODS We performed a retrospective descriptive analysis of clinical WES outcomes for patients facing insurance coverage barriers prior to clinical WES and who subsequently enrolled in the Undiagnosed Diseases Network (UDN). Clinical WES was completed as a result of participation in the UDN. Payer type, molecular diagnostic yield, and resulting clinical actions were evaluated. RESULTS Sixty-six patients in the UDN faced insurance coverage barriers to WES at the time of enrollment (67% public payer, 26% private payer). Forty-two of 66 (64%) received insurance denial for clinician-ordered WES, 19/66 (29%) had health insurance through a payer known not to cover WES, and 5/66 (8%) had previous payer denial of other genetic tests. Clinical WES results yielded a molecular diagnosis in 23 of 66 patients (35% [78% pediatric, 65% neurologic indication]). Molecular diagnosis resulted in clinical actions in 14 of 23 patients (61%). CONCLUSIONS These data demonstrate that a substantial proportion of patients who encountered insurance coverage barriers to WES had a clinically actionable molecular diagnosis, supporting the notion that WES has value as a covered benefit for patients who remain undiagnosed despite objective clinical findings.
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Affiliation(s)
- Chloe M. Reuter
- Center for Undiagnosed Diseases, Stanford University School of Medicine, Stanford, CA
- Division of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, CA
| | - Jennefer N. Kohler
- Center for Undiagnosed Diseases, Stanford University School of Medicine, Stanford, CA
- Division of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, CA
| | - Devon Bonner
- Center for Undiagnosed Diseases, Stanford University School of Medicine, Stanford, CA
- Division of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, CA
| | - Diane Zastrow
- Center for Undiagnosed Diseases, Stanford University School of Medicine, Stanford, CA
- Division of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, CA
| | - Liliana Fernandez
- Center for Undiagnosed Diseases, Stanford University School of Medicine, Stanford, CA
- Division of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, CA
| | - Annika Dries
- Center for Undiagnosed Diseases, Stanford University School of Medicine, Stanford, CA
- Division of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, CA
| | - Shruti Marwaha
- Center for Undiagnosed Diseases, Stanford University School of Medicine, Stanford, CA
- Division of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, CA
| | - Jean Davidson
- Center for Undiagnosed Diseases, Stanford University School of Medicine, Stanford, CA
- Division of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, CA
| | - Elly Brokamp
- Department of Pediatrics, Vanderbilt University Medical Center, Nashville, TN
| | - Matthew Herzog
- Department of Human Genetics, University of California Los Angeles, Los Angeles, CA
| | - Joyce Hong
- Department of Medicine, Brigham and Women’s Hospital, Boston, MA
| | - Ellen Macnamara
- Undiagnosed Diseases Program, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD
| | - Jill A. Rosenfeld
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX
| | - Kelly Schoch
- Department of Pediatrics, Duke University Medical Center, Durham, NC
| | - Rebecca Spillmann
- Department of Pediatrics, Duke University Medical Center, Durham, NC
| | | | - Joseph Loscalzo
- Department of Medicine, Brigham and Women’s Hospital, Boston, MA
| | - Joel Krier
- Department of Medicine, Brigham and Women’s Hospital, Boston, MA
| | - Joan Stoler
- Division of Genetics, Boston Children’s Hospital, Boston, MA
| | - David Sweetser
- Division of Medical Genetics and Metabolism, Department of Pediatrics, Massachusetts General Hospital, Boston, MA
| | - Christina G.S. Palmer
- Department of Human Genetics, University of California Los Angeles, Los Angeles, CA
- Psychiatry & Biobehavioral Sciences, University of California Los Angeles, Los Angeles, CA
- Institute for Society & Genetics, University of California Los Angeles, Los Angeles, CA
| | - John A Phillips
- Department of Pediatrics, Vanderbilt University Medical Center, Nashville, TN
| | - Vandana Shashi
- Department of Pediatrics, Duke University Medical Center, Durham, NC
| | - David A. Adams
- Undiagnosed Diseases Program, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD
| | - Yaping Yang
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX
| | - Euan A. Ashley
- Center for Undiagnosed Diseases, Stanford University School of Medicine, Stanford, CA
- Division of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, CA
- Department of Genetics, Stanford University School of Medicine, Stanford, CA
| | - Paul G. Fisher
- Center for Undiagnosed Diseases, Stanford University School of Medicine, Stanford, CA
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA
- Department of Pediatrics, Stanford University School of Medicine, Stanford, CA
| | - John J. Mulvihill
- Division of Genomic Medicine, National Human Genome Research Institute, Bethesda, MD
| | - Jonathan A. Bernstein
- Center for Undiagnosed Diseases, Stanford University School of Medicine, Stanford, CA
- Department of Pediatrics, Stanford University School of Medicine, Stanford, CA
| | - Matthew T. Wheeler
- Center for Undiagnosed Diseases, Stanford University School of Medicine, Stanford, CA
- Division of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, CA
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11
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Chinn IK, Chan AY, Chen K, Chou J, Dorsey MJ, Hajjar J, Jongco AM, Keller MD, Kobrynski LJ, Kumanovics A, Lawrence MG, Leiding JW, Lugar PL, Orange JS, Patel K, Platt CD, Puck JM, Raje N, Romberg N, Slack MA, Sullivan KE, Tarrant TK, Torgerson TR, Walter JE. Diagnostic interpretation of genetic studies in patients with primary immunodeficiency diseases: A working group report of the Primary Immunodeficiency Diseases Committee of the American Academy of Allergy, Asthma & Immunology. J Allergy Clin Immunol 2019; 145:46-69. [PMID: 31568798 DOI: 10.1016/j.jaci.2019.09.009] [Citation(s) in RCA: 46] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2019] [Revised: 09/02/2019] [Accepted: 09/20/2019] [Indexed: 12/19/2022]
Abstract
Genetic testing has become an integral component of the diagnostic evaluation of patients with suspected primary immunodeficiency diseases. Results of genetic testing can have a profound effect on clinical management decisions. Therefore clinical providers must demonstrate proficiency in interpreting genetic data. Because of the need for increased knowledge regarding this practice, the American Academy of Allergy, Asthma & Immunology Primary Immunodeficiency Diseases Committee established a work group that reviewed and summarized information concerning appropriate methods, tools, and resources for evaluating variants identified by genetic testing. Strengths and limitations of tests frequently ordered by clinicians were examined. Summary statements and tables were then developed to guide the interpretation process. Finally, the need for research and collaboration was emphasized. Greater understanding of these important concepts will improve the diagnosis and management of patients with suspected primary immunodeficiency diseases.
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Affiliation(s)
- Ivan K Chinn
- Department of Pediatrics, Baylor College of Medicine, Houston, Tex; Section of Immunology, Allergy, and Rheumatology, Texas Children's Hospital, Houston, Tex.
| | - Alice Y Chan
- Department of Pediatrics, Division of Allergy, Immunology, and Bone Marrow Transplantation, University of California at San Francisco, San Francisco, Calif
| | - Karin Chen
- Division of Allergy and Immunology, Department of Pediatrics, University of Utah School of Medicine, Salt Lake City, Utah
| | - Janet Chou
- Department of Pediatrics, Harvard Medical School, Boston, Mass; Division of Allergy and Immunology, Boston Children's Hospital, Boston, Mass
| | - Morna J Dorsey
- Department of Pediatrics, Division of Allergy, Immunology, and Bone Marrow Transplantation, University of California at San Francisco, San Francisco, Calif
| | - Joud Hajjar
- Department of Pediatrics, Baylor College of Medicine, Houston, Tex; Section of Immunology, Allergy, and Rheumatology, Texas Children's Hospital, Houston, Tex
| | - Artemio M Jongco
- Departments of Medicine and Pediatrics, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Great Neck, NY; Center for Health Innovations and Outcomes Research, Feinstein Institute for Medical Research, Great Neck, NY; Division of Allergy & Immunology, Cohen Children's Medical Center of New York, Great Neck, NY
| | - Michael D Keller
- Department of Allergy and Immunology, Children's National Hospital, Washington, DC
| | - Lisa J Kobrynski
- Department of Pediatrics, Division of Allergy and Immunology, Emory University School of Medicine, Atlanta, Ga
| | - Attila Kumanovics
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, Minn
| | - Monica G Lawrence
- Department of Medicine, Division of Asthma, Allergy and Immunology, University of Virginia Health System, Charlottesville, Va
| | - Jennifer W Leiding
- Departments of Pediatrics and Medicine, University of South Florida, St Petersburg, Fla; Division of Pediatric Allergy/Immunology, Johns Hopkins-All Children's Hospital, St Petersburg, Fla; Cancer and Blood Disorders Institute, Johns Hopkins-All Children's Hospital, St Petersburg, Fla
| | - Patricia L Lugar
- Department of Medicine, Division of Pulmonary, Allergy, and Critical Care Medicine, Duke University Medical Center, Durham, NC
| | - Jordan S Orange
- Department of Pediatrics, Columbia University College of Physicians and Surgeons, New York, NY; New York Presbyterian Morgan Stanley Children's Hospital, New York, NY
| | - Kiran Patel
- Department of Pediatrics, Division of Allergy and Immunology, Emory University School of Medicine, Atlanta, Ga
| | - Craig D Platt
- Department of Pediatrics, Harvard Medical School, Boston, Mass; Division of Allergy and Immunology, Boston Children's Hospital, Boston, Mass
| | - Jennifer M Puck
- Department of Pediatrics, Division of Allergy, Immunology, and Bone Marrow Transplantation, University of California at San Francisco, San Francisco, Calif
| | - Nikita Raje
- Department of Pediatrics, University of Missouri-Kansas City, Kansas City, Mo; Division of Allergy/Asthma/Immunology, Children's Mercy Hospital, Kansas City, Mo
| | - Neil Romberg
- Department of Pediatrics, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pa; Division of Allergy/Immunology, Children's Hospital of Philadelphia, Philadelphia, Pa
| | - Maria A Slack
- Department of Medicine, Division of Allergy, Immunology, and Rheumatology, University of Rochester Medical Center, Rochester, NY; Department of Pediatrics, Division of Pediatric Allergy and Immunology, University of Rochester Medical Center, Rochester, NY
| | - Kathleen E Sullivan
- Department of Pediatrics, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pa; Division of Allergy/Immunology, Children's Hospital of Philadelphia, Philadelphia, Pa
| | - Teresa K Tarrant
- Department of Medicine, Division of Rheumatology and Immunology, Duke University Medical Center, Durham, NC
| | - Troy R Torgerson
- Department of Pediatrics, University of Washington School of Medicine, Seattle, Wash; Center for Immunity and Immunotherapies, Seattle Children's Research Institute, Seattle, Wash
| | - Jolan E Walter
- Departments of Pediatrics and Medicine, University of South Florida, St Petersburg, Fla; Division of Pediatric Allergy/Immunology, Johns Hopkins-All Children's Hospital, St Petersburg, Fla; Division of Pediatric Allergy Immunology, Massachusetts General Hospital, Boston, Mass
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12
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Lee CL, Lee CH, Chuang CK, Chiu HC, Chen YJ, Chou CL, Wu PS, Chen CP, Lin HY, Lin SP. Array-CGH increased the diagnostic rate of developmental delay or intellectual disability in Taiwan. Pediatr Neonatol 2019; 60:453-460. [PMID: 30581099 DOI: 10.1016/j.pedneo.2018.11.006] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/20/2018] [Revised: 10/03/2018] [Accepted: 11/21/2018] [Indexed: 12/12/2022] Open
Abstract
BACKGROUND Unexplained developmental delay or intellectual disability (DD/ID) has an estimated prevalence of about 3%-5% in the general population of Taiwan. Array comparative genomic hybridization (array-CGH) is a high-resolution tool that can detect about 50 Kb chromosome aberrations. A previous study has reported a detection rate of 10%-20% for this array.1 This study aimed to investigate and compare the diagnosis rate for DD/ID using array-CGH and conventional chromosome study in DD/ID patients in Taiwan. METHODS We enrolled 177 patients with DD/ID who underwent array-CGH examination at the MacKay Memory Hospital between June 2010 and September 2017. The copy number variants (CNV) were classified into the following three groups: pathogenic (potential pathologic variant), benign (normal genomic variant), and uncertain clinical significance (variance of uncertain significance, VOUS), according to the ACMG guideline.2 RESULTS: Of the 177 enrolled patients, 100 (56.5%) were men and 77 (43.5%) were women. Ages ranged from 3 months to 50 years, with a median age of 5.2 years. Total 32.0% (32/100) male patients had pathogenic CNV, and 32.5% (25/77) female patients had pathogenic CNV. The ratio of pathogenic CNV in male and female patients was not significantly different (p = 0.379). The proportions of pathogenic CNV at <3 years, 3-6 years, 6-12 years, 12-18 years, and >18 years of age were 32.3% (31/96), 19.4% (6/31), 34.8% (8/23), 16.7% (2/12), and 66.7% (10/15), respectively. The overall diagnosed rate of DD/ID with pathogenic CNV was 27.7% (49/177) using array-CGH in this study. There were 105 patients with conventional karyotyping and array-CGH data at the same time. Nineteen (18.1%) patients had visible chromosomal abnormality. Total 32/105 (30.5%) patients could find at least one pathogenic CNVs. The array-CGH had a higher diagnosed rate than the conventional karyotyping in clinical application. CONCLUSIONS Although array-CGH could not detect point mutation, balanced translocations, inversions, or low-level mosaicism, the diagnosis rate in clinical application was up to 46.3% and 2.5 times that of conventional karyotyping analysis (18.1%). This study demonstrated that array-CGH is a powerful diagnostic tool and should be the first genetic test instead of conventional karyotyping analysis for patients with unexplained DD/ID.
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Affiliation(s)
- Chung-Lin Lee
- Department of Pediatrics, Mackay Memorial Hospital, Taipei, Taiwan
| | - Chen-Hao Lee
- Department of Pediatrics, E-DA Hospital, I-Shou University, Kaohsiung City, Taiwan
| | | | - Huei-Ching Chiu
- Department of Pediatrics, Mackay Memorial Hospital, Taipei, Taiwan
| | - Yen-Jiun Chen
- Department of Pediatrics, Mackay Memorial Hospital, Taipei, Taiwan
| | - Chao-Ling Chou
- Department of Pediatrics, Mackay Memorial Hospital, Taipei, Taiwan
| | | | - Chih-Ping Chen
- Medical Research, Mackay Memorial Hospital, Taipei, Taiwan; Departments of Obstetrics and Gynecology, Mackay Memorial Hospital, Taipei, Taiwan; Department of Biotechnology, Asia University, Taichung, Taiwan; School of Chinese Medicine, College of Chinese Medicine, China Medical University, Taichung, Taiwan; Institute of Clinical and Community Health Nursing, National Yang-Ming University, Taipei, Taiwan; Department of Obstetrics and Gynecology, School of Medicine, National Yang-Ming University, Taipei, Taiwan
| | - Hsiang-Yu Lin
- Department of Pediatrics, Mackay Memorial Hospital, Taipei, Taiwan; Department of Medicine, Mackay Medical College, New Taipei City 25245, Taiwan; Division of Genetics and Metabolism, Department of Medical Research, MacKay Memorial Hospital, Taipei, Taiwan; Department of Medical Research, China Medical University Hospital, China Medical University, Taichung, Taiwan; Mackay Junior College of Medicine, Nursing and Management, Taipei, Taiwan.
| | - Shuan-Pei Lin
- Department of Pediatrics, Mackay Memorial Hospital, Taipei, Taiwan; Department of Medicine, Mackay Medical College, New Taipei City 25245, Taiwan; Division of Genetics and Metabolism, Department of Medical Research, MacKay Memorial Hospital, Taipei, Taiwan; Department of Infant and Child Care, National Taipei University of Nursing and Health Sciences, Taipei, Taiwan.
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13
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Srivastava S, Love-Nichols JA, Dies KA, Ledbetter DH, Martin CL, Chung WK, Firth HV, Frazier T, Hansen RL, Prock L, Brunner H, Hoang N, Scherer SW, Sahin M, Miller DT. Meta-analysis and multidisciplinary consensus statement: exome sequencing is a first-tier clinical diagnostic test for individuals with neurodevelopmental disorders. Genet Med 2019; 21:2413-2421. [PMID: 31182824 PMCID: PMC6831729 DOI: 10.1038/s41436-019-0554-6] [Citation(s) in RCA: 405] [Impact Index Per Article: 67.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2019] [Accepted: 05/15/2019] [Indexed: 12/15/2022] Open
Abstract
Purpose For neurodevelopmental disorders (NDDs), etiological evaluation can
be a diagnostic odyssey involving numerous genetic tests, underscoring the need
to develop a streamlined algorithm maximizing molecular diagnostic yield for
this clinical indication. Our objective was to compare the yield of exome
sequencing (ES) with that of chromosomal microarray (CMA), the current
first-tier test for NDDs. Methods We performed a PubMed scoping review and meta-analysis investigating
the diagnostic yield of ES for NDDs as the basis of a consensus development
conference. We defined NDD as global developmental delay, intellectual
disability, and/or autism spectrum disorder. The consensus development
conference included input from genetics professionals, pediatric neurologists,
and developmental behavioral pediatricians. Results After applying strict inclusion/exclusion criteria, we identified 30
articles with data on molecular diagnostic yield in individuals with isolated
NDD, or NDD plus associated conditions (such as Rett-like features). Yield of ES
was 36% overall, 31% for isolated NDD, and 53% for the NDD plus associated
conditions. ES yield for NDDs is markedly greater than previous studies of CMA
(15–20%). Conclusion Our review demonstrates that ES consistently outperforms CMA for
evaluation of unexplained NDDs. We propose a diagnostic algorithm placing ES at
the beginning of the evaluation of unexplained NDDs.
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Affiliation(s)
- Siddharth Srivastava
- Translational Neuroscience Center, Department of Neurology, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA
| | - Jamie A Love-Nichols
- Translational Neuroscience Center, Department of Neurology, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA
| | - Kira A Dies
- Translational Neuroscience Center, Department of Neurology, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA
| | - David H Ledbetter
- Autism & Developmental Medicine Institute, Geisinger, Danville, PA, USA
| | - Christa L Martin
- Autism & Developmental Medicine Institute, Geisinger, Danville, PA, USA
| | - Wendy K Chung
- Departments of Pediatrics and Medicine, Columbia University, New York, NY, USA.,SFARI, Simons Foundation, New York, NY, USA
| | - Helen V Firth
- Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, UK.,East Anglian Medical Genetics Service, Cambridge University Hospitals NHS Foundation Trust, Cambridge Biomedical Campus, Cambridge, UK
| | | | - Robin L Hansen
- MIND Institute, Department of Pediatrics, University of California Davis, Sacramento, CA, USA
| | - Lisa Prock
- Translational Neuroscience Center, Department of Neurology, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA.,Developmental Medicine Center, Boston Children's Hospital, Boston, MA, USA
| | - Han Brunner
- Department of Human Genetics, Radboud University Medical Center, Nijmegen, The Netherlands.,Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, The Netherlands.,The Netherlands; Department of Clinical Genetics and GROW-School for Oncology and Developmental Biology, Maastricht University Medical Center, Maastricht, The Netherlands
| | - Ny Hoang
- Department of Genetic Counselling, The Hospital for Sick Children, Toronto, ON, Canada.,Genetics and Genome Biology, The Hospital for Sick Children, Toronto, ON, Canada.,Department of Molecular Genetics, University of Toronto, Toronto, ON, Canada
| | - Stephen W Scherer
- Genetics and Genome Biology, The Hospital for Sick Children, Toronto, ON, Canada.,Department of Molecular Genetics, University of Toronto, Toronto, ON, Canada.,The Centre for Applied Genomics, The Hospital for Sick Children, Toronto, ON, Canada.,McLaughlin Centre and Department of Molecular Genetics, Faculty of Medicine, University of Toronto, Toronto, ON, Canada
| | - Mustafa Sahin
- Translational Neuroscience Center, Department of Neurology, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA.
| | - David T Miller
- Division of Genetics and Genomics, Boston Children's Hospital, Boston, MA, USA
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14
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Zepeda‐Mendoza C, Goodenberger ML, Kuhl A, Rice GM, Hoppman N. Familial segregation of a 5q15-q21.2 deletion associated with facial dysmorphism and speech delay. Clin Case Rep 2019; 7:1154-1160. [PMID: 31183085 PMCID: PMC6552940 DOI: 10.1002/ccr3.2186] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2019] [Revised: 03/16/2019] [Accepted: 04/11/2019] [Indexed: 11/16/2022] Open
Abstract
We report a two-generation family with four females harboring an 8.5Mb heterozygous deletion of 5q15-q21.2 who present with dysmorphic craniofacial features and speech delay. We hypothesize haploinsufficiency of CHD1 to be contributing to the clinical features observed in this family.
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Affiliation(s)
- Cinthya Zepeda‐Mendoza
- Division of Laboratory Genetics and Genomics, Departments of Laboratory Medicine and PathologyMayo ClinicRochesterMinnesota
| | - McKinsey L. Goodenberger
- Division of Laboratory Genetics and Genomics, Departments of Laboratory Medicine and PathologyMayo ClinicRochesterMinnesota
| | - Ashley Kuhl
- School of Medicine and Public HealthUniversity of WisconsinMadisonWisconsin
| | - Gregory M. Rice
- School of Medicine and Public HealthUniversity of WisconsinMadisonWisconsin
| | - Nicole Hoppman
- Division of Laboratory Genetics and Genomics, Departments of Laboratory Medicine and PathologyMayo ClinicRochesterMinnesota
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15
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Durham L, Papanna R, Stevens B, Noblin S, Rodriguez-Buritica D, Hashmi SS, Krstic N. The utilization of prenatal microarray: A survey of current genetic counseling practices and barriers. Prenat Diagn 2019; 39:351-360. [PMID: 30734934 DOI: 10.1002/pd.5435] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2018] [Revised: 02/01/2019] [Accepted: 02/01/2019] [Indexed: 12/29/2022]
Abstract
OBJECTIVE We evaluated what prenatal genetic counselor's (GCs) practices, attitudes, and barriers are in regards to prenatal microarray since the publication of the American College of Obstetricians and Gynecologists (ACOG) and the Society for Maternal-Fetal Medicine (SMFM) guidelines for microarray use. METHODS This was a survey-based cross-sectional study of English-speaking, board certified or eligible GCs who currently practice prenatal genetic counseling. RESULTS Of 192 respondents, 183 (95%) have incorporated chromosome microarray (CMA) into clinical practice, with 64% believing that the benefits of CMA outweigh the harms and 52% agreeing that CMA should be offered to all women regardless of indication. Those who reported being experts/comfortable in their knowledge of CMA (85%) and familiar with current clinical guidelines (86%) were significantly more likely to offer CMA to patients undergoing invasive testing and patients with fetal anomalies. Patient-specific concerns were the largest reported barrier (51%) when GCs do not offer CMA to patients. CONCLUSION Our study demonstrates GCs follow guidelines for CMA use when specific indications are involved, but further guidelines are needed regarding CMA use for other routine indications where utility of CMA is not clearly understood. On this basis, ACOG and SMFM should continue revising their guidelines as more information comes to light regarding utility of prenatal CMA for all indications, and organizations like the National Society of Genetic Counselors (NSGC) should consider publishing guidelines on prenatal CMA that are specialized to the GCs sphere of practice.
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Affiliation(s)
- Leslie Durham
- The University of Texas MD Anderson Cancer Center UTHealth Graduate School of Biomedical Sciences, University of Texas, Houston, Texas.,Department of Pediatric Development and Rehabilitation, Randall Children's Hospital at Legacy Emanuel, Portland, Oregon
| | - Ramesha Papanna
- Department of Obstetrics, Gynecology, and Reproductive Sciences, McGovern Medical School at the University of Texas Health Science Center at Houston, Houston, Texas
| | - Blair Stevens
- The University of Texas MD Anderson Cancer Center UTHealth Graduate School of Biomedical Sciences, University of Texas, Houston, Texas.,Department of Obstetrics, Gynecology, and Reproductive Sciences, McGovern Medical School at the University of Texas Health Science Center at Houston, Houston, Texas
| | - Sarah Noblin
- The University of Texas MD Anderson Cancer Center UTHealth Graduate School of Biomedical Sciences, University of Texas, Houston, Texas.,Department of Obstetrics, Gynecology, and Reproductive Sciences, McGovern Medical School at the University of Texas Health Science Center at Houston, Houston, Texas
| | - David Rodriguez-Buritica
- Department of Obstetrics, Gynecology, and Reproductive Sciences, McGovern Medical School at the University of Texas Health Science Center at Houston, Houston, Texas
| | - S Shahrukh Hashmi
- Department of Obstetrics, Gynecology, and Reproductive Sciences, McGovern Medical School at the University of Texas Health Science Center at Houston, Houston, Texas
| | - Nevena Krstic
- The University of Texas MD Anderson Cancer Center UTHealth Graduate School of Biomedical Sciences, University of Texas, Houston, Texas.,Department of Obstetrics, Gynecology, and Reproductive Sciences, McGovern Medical School at the University of Texas Health Science Center at Houston, Houston, Texas.,Department of Obstetrics and Gynecology, Morsani College of Medicine, University of South Florida, Tampa, FL
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16
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Tremblay I, Grondin S, Laberge AM, Cousineau D, Carmant L, Rowan A, Janvier A. Diagnostic and Therapeutic Misconception: Parental Expectations and Perspectives Regarding Genetic Testing for Developmental Disorders. J Autism Dev Disord 2018; 49:363-375. [DOI: 10.1007/s10803-018-3768-6] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
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17
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Tremblay I, Laberge AM, Cousineau D, Carmant L, Rowan A, Janvier A. Paediatricians' expectations and perspectives regarding genetic testing for children with developmental disorders. Acta Paediatr 2018; 107:838-844. [PMID: 29280190 DOI: 10.1111/apa.14203] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/30/2017] [Revised: 12/18/2017] [Accepted: 12/20/2017] [Indexed: 12/27/2022]
Abstract
AIM To investigate paediatricians' expectations and perspectives of genetic testing for children with developmental disorders. METHODS Paediatricians working in a developmental clinic were surveyed each time they ordered a chromosomal microarray (CMA) for a child with developmental disorders. Clinical charts were reviewed. Results were analysed using mixed methodology. RESULTS Ninety-seven % (73/76) of surveys were completed. Paediatricians reported that 36% of parents had difficulties understanding genetic testing and that 40% seemed anxious. The majority expected testing to have positive impacts on children/families. The themes raised were (i) clarifying the diagnosis (56%), (ii) understanding the aetiology of the condition (55%), (iii) enabling prenatal diagnosis/counselling (43%), (iv) improving medical care for the child (15%) and (v) decreasing parental guilt/anxiety (8%). Less than half anticipated negative impacts; 74% expected that the most helpful result for their patient would be an abnormal result explaining the disorder. Among the 73 children for whom CMA was ordered, 81% got tested: 66% of the results were normal, 19% were abnormal and contributed to explain the condition and 12% were abnormal but of unknown significance. CONCLUSION Paediatricians generally expect many positive and less negative impacts of genetic testing for children with developmental disorders. Parental perspectives are needed.
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Affiliation(s)
- Isabelle Tremblay
- CHU Sainte-Justine Research Center; Montréal QC Canada
- Department of Psychology; CHU Sainte-Justine; Montréal QC Canada
- Department of Medical Genetics; CHU Sainte-Justine; Montréal QC Canada
- Centre Intégré du Réseau en Neuro-Développement de l'enfant (CIRENE); CHU Sainte-Justine; Montréal QC Canada
- Unité d’éthique Clinique; CHU Sainte-Justine; Montréal QC Canada
| | - Anne-Marie Laberge
- CHU Sainte-Justine Research Center; Montréal QC Canada
- Department of Medical Genetics; CHU Sainte-Justine; Montréal QC Canada
| | - Dominique Cousineau
- Centre Intégré du Réseau en Neuro-Développement de l'enfant (CIRENE); CHU Sainte-Justine; Montréal QC Canada
- Department of Pediatrics; CHU Sainte-Justine; Montréal QC Canada
- Department of Pediatrics; Université de Montréal; Montréal QC Canada
| | - Lionel Carmant
- CHU Sainte-Justine Research Center; Montréal QC Canada
- Centre Intégré du Réseau en Neuro-Développement de l'enfant (CIRENE); CHU Sainte-Justine; Montréal QC Canada
- Department of Neurology; CHU Sainte-Justine; Montréal QC Canada
| | | | - Annie Janvier
- CHU Sainte-Justine Research Center; Montréal QC Canada
- Unité d’éthique Clinique; CHU Sainte-Justine; Montréal QC Canada
- Department of Pediatrics; Université de Montréal; Montréal QC Canada
- Division of Neonatology; CHU Sainte-Justine; Montréal QC Canada
- Bureau de l’éthique clinique; Université de Montréal; Montréal QC Canada. Palliative Care Unit; CHU Sainte-Justine; Montréal QC Canada. Unité de recherche en éthique clinique et partenariat famille (UREPAF); Montréal QC Canada
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18
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Cost Effectiveness of Karyotyping, Chromosomal Microarray Analysis, and Targeted Next-Generation Sequencing of Patients with Unexplained Global Developmental Delay or Intellectual Disability. Mol Diagn Ther 2017; 22:129-138. [DOI: 10.1007/s40291-017-0309-5] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
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19
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Hnoonual A, Thammachote W, Tim-Aroon T, Rojnueangnit K, Hansakunachai T, Sombuntham T, Roongpraiwan R, Worachotekamjorn J, Chuthapisith J, Fucharoen S, Wattanasirichaigoon D, Ruangdaraganon N, Limprasert P, Jinawath N. Chromosomal microarray analysis in a cohort of underrepresented population identifies SERINC2 as a novel candidate gene for autism spectrum disorder. Sci Rep 2017; 7:12096. [PMID: 28935972 PMCID: PMC5608768 DOI: 10.1038/s41598-017-12317-3] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2017] [Accepted: 09/07/2017] [Indexed: 01/11/2023] Open
Abstract
Chromosomal microarray (CMA) is now recognized as the first-tier genetic test for detection of copy number variations (CNVs) in patients with autism spectrum disorder (ASD). The aims of this study were to identify known and novel ASD associated-CNVs and to evaluate the diagnostic yield of CMA in Thai patients with ASD. The Infinium CytoSNP-850K BeadChip was used to detect CNVs in 114 Thai patients comprised of 68 retrospective ASD patients (group 1) with the use of CMA as a second line test and 46 prospective ASD and developmental delay patients (group 2) with the use of CMA as the first-tier test. We identified 7 (6.1%) pathogenic CNVs and 22 (19.3%) variants of uncertain clinical significance (VOUS). A total of 29 patients with pathogenic CNVs and VOUS were found in 22% (15/68) and 30.4% (14/46) of the patients in groups 1 and 2, respectively. The difference in detected CNV frequencies between the 2 groups was not statistically significant (Chi square = 1.02, df = 1, P = 0.31). In addition, we propose one novel ASD candidate gene, SERINC2, which warrants further investigation. Our findings provide supportive evidence that CMA studies using population-specific reference databases in underrepresented populations are useful for identification of novel candidate genes.
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Affiliation(s)
- Areerat Hnoonual
- Graduate Program in Biomedical Sciences, Prince of Songkla University, Songkhla, Thailand
| | - Weerin Thammachote
- Program in Translational Medicine, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand
| | - Thipwimol Tim-Aroon
- Division of Medical Genetics, Department of Pediatrics, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand
| | - Kitiwan Rojnueangnit
- Division of Medical Genetics, Department of Pediatrics, Faculty of Medicine, Thammasart University, Pathumthani, Thailand
| | - Tippawan Hansakunachai
- Division of Child Development, Department of Pediatrics, Faculty of Medicine, Thammasart University, Pathumthani, Thailand
| | - Tasanawat Sombuntham
- Division of Developmental-Behavioral Pediatrics, Department of Pediatrics, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand
| | - Rawiwan Roongpraiwan
- Division of Developmental-Behavioral Pediatrics, Department of Pediatrics, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand
| | - Juthamas Worachotekamjorn
- Division of Child Development, Department of Pediatrics, Faculty of Medicine, Prince of Songkla University, Songkhla, Thailand
| | - Jariya Chuthapisith
- Division of Developmental-Behavioral Pediatrics, Department of Pediatrics, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand
| | - Suthat Fucharoen
- Thalassemia Research Center, Institute of Molecular Biosciences, Mahidol University, Salaya, Nakhon Pathom, Thailand
| | - Duangrurdee Wattanasirichaigoon
- Division of Medical Genetics, Department of Pediatrics, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand
| | - Nichara Ruangdaraganon
- Division of Developmental-Behavioral Pediatrics, Department of Pediatrics, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand
| | - Pornprot Limprasert
- Division of Human Genetics, Department of Pathology, Faculty of Medicine, Prince of Songkla University, Songkhla, Thailand.
| | - Natini Jinawath
- Program in Translational Medicine, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand. .,Integrative Computational Bioscience Center, Mahidol University, Salaya, Nakhon Pathom, Thailand.
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20
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Hanchard NA, Umana LA, D'Alessandro L, Azamian M, Poopola M, Morris SA, Fernbach S, Lalani SR, Towbin JA, Zender GA, Fitzgerald-Butt S, Garg V, Bowman J, Zapata G, Hernandez P, Arrington CB, Furthner D, Prakash SK, Bowles NE, McBride KL, Belmont JW. Assessment of large copy number variants in patients with apparently isolated congenital left-sided cardiac lesions reveals clinically relevant genomic events. Am J Med Genet A 2017; 173:2176-2188. [PMID: 28653806 DOI: 10.1002/ajmg.a.38309] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2016] [Revised: 04/18/2017] [Accepted: 05/06/2017] [Indexed: 12/30/2022]
Abstract
Congenital left-sided cardiac lesions (LSLs) are a significant contributor to the mortality and morbidity of congenital heart disease (CHD). Structural copy number variants (CNVs) have been implicated in LSL without extra-cardiac features; however, non-penetrance and variable expressivity have created uncertainty over the use of CNV analyses in such patients. High-density SNP microarray genotyping data were used to infer large, likely-pathogenic, autosomal CNVs in a cohort of 1,139 probands with LSL and their families. CNVs were molecularly confirmed and the medical records of individual carriers reviewed. The gene content of novel CNVs was then compared with public CNV data from CHD patients. Large CNVs (>1 MB) were observed in 33 probands (∼3%). Six of these were de novo and 14 were not observed in the only available parent sample. Associated cardiac phenotypes spanned a broad spectrum without clear predilection. Candidate CNVs were largely non-recurrent, associated with heterozygous loss of copy number, and overlapped known CHD genomic regions. Novel CNV regions were enriched for cardiac development genes, including seven that have not been previously associated with human CHD. CNV analysis can be a clinically useful and molecularly informative tool in LSLs without obvious extra-cardiac defects, and may identify a clinically relevant genomic disorder in a small but important proportion of these individuals.
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Affiliation(s)
- Neil A Hanchard
- Department of Human and Molecular Genetics, Baylor College of Medicine, Houston, Texas.,USDA/ARS/Children's Nutrition Research Center, Baylor College of Medicine, Houston, Texas
| | - Luis A Umana
- Department of Human and Molecular Genetics, Baylor College of Medicine, Houston, Texas
| | - Lisa D'Alessandro
- Division of Cardiology, Department of Pediatrics, Baylor College of Medicine, Houston, Texas
| | - Mahshid Azamian
- Department of Human and Molecular Genetics, Baylor College of Medicine, Houston, Texas
| | - Mojisola Poopola
- Department of Human and Molecular Genetics, Baylor College of Medicine, Houston, Texas
| | - Shaine A Morris
- Division of Cardiology, Department of Pediatrics, Baylor College of Medicine, Houston, Texas
| | - Susan Fernbach
- Department of Human and Molecular Genetics, Baylor College of Medicine, Houston, Texas
| | - Seema R Lalani
- Department of Human and Molecular Genetics, Baylor College of Medicine, Houston, Texas
| | - Jeffrey A Towbin
- Pediatric Cardiology, University of Tennessee Health Science Center, Memphis, Tennessee
| | - Gloria A Zender
- Center for Cardiovascular Research, Nationwide Children's Hospital, Columbus, Ohio
| | - Sara Fitzgerald-Butt
- Center for Cardiovascular Research, Nationwide Children's Hospital, Columbus, Ohio.,Heart Center, Nationwide Children's Hospital, Columbus, Ohio.,Department of Pediatrics, Ohio State University, Columbus, Ohio
| | - Vidu Garg
- Center for Cardiovascular Research, Nationwide Children's Hospital, Columbus, Ohio.,Heart Center, Nationwide Children's Hospital, Columbus, Ohio.,Department of Pediatrics, Ohio State University, Columbus, Ohio
| | - Jessica Bowman
- Heart Center, Nationwide Children's Hospital, Columbus, Ohio.,Department of Pediatrics, Ohio State University, Columbus, Ohio
| | - Gladys Zapata
- Department of Human and Molecular Genetics, Baylor College of Medicine, Houston, Texas.,USDA/ARS/Children's Nutrition Research Center, Baylor College of Medicine, Houston, Texas
| | - Patricia Hernandez
- Department of Human and Molecular Genetics, Baylor College of Medicine, Houston, Texas.,USDA/ARS/Children's Nutrition Research Center, Baylor College of Medicine, Houston, Texas
| | - Cammon B Arrington
- Division of Human Genetics, University of Utah School of Medicine, Salt Lake City, Utah
| | | | - Siddharth K Prakash
- Department of Internal Medicine, University of Texas Health Science Center at Houston, Houston, Texas
| | - Neil E Bowles
- Division of Human Genetics, University of Utah School of Medicine, Salt Lake City, Utah
| | - Kim L McBride
- Center for Cardiovascular Research, Nationwide Children's Hospital, Columbus, Ohio.,Heart Center, Nationwide Children's Hospital, Columbus, Ohio.,Department of Pediatrics, Ohio State University, Columbus, Ohio
| | - John W Belmont
- Department of Human and Molecular Genetics, Baylor College of Medicine, Houston, Texas.,USDA/ARS/Children's Nutrition Research Center, Baylor College of Medicine, Houston, Texas
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21
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Hensel C, Vanzo R, Martin M, Dixon S, Lambert C, Levy B, Nelson L, Peiffer A, Ho KS, Rushton P, Serrano M, South S, Ward K, Wassman E. Analytical and Clinical Validity Study of FirstStepDx PLUS: A Chromosomal Microarray Optimized for Patients with Neurodevelopmental Conditions. PLOS CURRENTS 2017; 9. [PMID: 28357155 PMCID: PMC5346028 DOI: 10.1371/currents.eogt.7d92ce775800ef3fbc72e3840fb1bc22] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
Abstract
Introduction: Chromosomal microarray analysis (CMA) is recognized as the first-tier test in the genetic evaluation of children with developmental delays, intellectual disabilities, congenital anomalies and autism spectrum disorders of unknown etiology. Array Design: To optimize detection of clinically relevant copy number variants associated with these conditions, we designed a whole-genome microarray, FirstStepDx PLUS (FSDX). A set of 88,435 custom probes was added to the Affymetrix CytoScanHD platform targeting genomic regions strongly associated with these conditions. This combination of 2,784,985 total probes results in the highest probe coverage and clinical yield for these disorders. Results and Discussion: Clinical testing of this patient population is validated on DNA from either non-invasive buccal swabs or traditional blood samples. In this report we provide data demonstrating the analytic and clinical validity of FSDX and provide an overview of results from the first 7,570 consecutive patients tested clinically. We further demonstrate that buccal sampling is an effective method of obtaining DNA samples, which may provide improved results compared to traditional blood sampling for patients with neurodevelopmental disorders who exhibit somatic mosaicism.
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Affiliation(s)
| | - Rena Vanzo
- Clinical Genetic Services, Lineagen, Inc., Salt Lake City, Utah, USA
| | | | - Sean Dixon
- Operations, Lineagen, Inc., Salt Lake City, Utah, USA
| | - Christophe Lambert
- Department of Internal Medicine, Center for Global Health, Division of Translational Informatics, University of New Mexico Health Sciences Center, Albuquerque, New Mexico, USA
| | - Brynn Levy
- Department of Pathology & Cell Biology, Columbia University Medical Center, New York, New York, USA
| | - Lesa Nelson
- Affiliated Genetics Laboratory, Inc., Salt Lake City, Utah, USA
| | - Andy Peiffer
- Department of Pediatrics, University of Utah, Salt Lake City, Utah, USA; Lineagen, Inc., Salt Lake City, Utah, USA
| | - Karen S Ho
- Department of Pediatrics, University of Utah, Salt Lake City, Utah, USA; Lineagen, Inc., Salt Lake City, Utah, USA
| | | | | | - Sarah South
- ARUP Laboratories, Salt Lake City, Utah, USA; 23andMe, Inc., Mountain View, California, USA
| | - Kenneth Ward
- Affiliated Genetics Laboratory, Inc., Salt Lake City, Utah, USA
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22
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Peabody J, Martin M, DeMaria L, Florentino J, Paculdo D, Paul M, Vanzo R, Wassman ER, Burgon T. Clinical Utility of a Comprehensive, Whole Genome CMA Testing Platform in Pediatrics: A Prospective Randomized Controlled Trial of Simulated Patients in Physician Practices. PLoS One 2016; 11:e0169064. [PMID: 28036350 PMCID: PMC5201278 DOI: 10.1371/journal.pone.0169064] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2016] [Accepted: 12/12/2016] [Indexed: 12/29/2022] Open
Abstract
BACKGROUND Developmental disorders (DD), including autism spectrum disorder (ASD) and intellectual disability (ID), are a common group of clinical manifestations caused by a variety of genetic abnormalities. Genetic testing, including chromosomal microarray (CMA), plays an important role in diagnosing these conditions, but CMA can be limited by incomplete coverage of genetic abnormalities and lack of guidance for conditions rarely seen by treating physicians. METHODS We conducted a longitudinal, randomized controlled trial investigating the impact of a higher resolution 2.8 million (MM) probe-CMA test on the quality of care delivered by practicing general pediatricians and specialists. To overcome the twin problems of finding an adequate sample size of multiple rare conditions and under/incorrect diagnoses, we used standardized simulated patients known as CPVs. Physicians, randomized into control and intervention groups, cared for the CPV pediatric patients with DD/ASD/ID. Care responses were scored against evidence-based criteria. In round one, participants could order diagnostic tests including existing CMA tests. In round two, intervention physicians could order the 2.8MM probe-CMA test. Outcome measures included overall quality of care and quality of the diagnosis and treatment plan. RESULTS Physicians ordering CMA testing had 5.43% (p<0.001) higher overall quality scores than those who did not. Intervention physicians ordering the 2.8MM probe-CMA test had 7.20% (p<0.001) higher overall quality scores. Use of the 2.8MM probe-CMA test led to a 10.9% (p<0.001) improvement in the diagnosis and treatment score. Introduction of the 2.8MM probe-CMA test led to significant improvements in condition-specific interventions including an 8.3% (p = 0.04) improvement in evaluation and therapy for gross motor delays caused by Hunter syndrome, a 27.5% (p = 0.03) increase in early cognitive intervention for FOXG1-related disorder, and an 18.2% (p<0.001) improvement in referrals to child neurology for Dravet syndrome. CONCLUSION Physician use of the 2.8MM probe-CMA test significantly improves overall quality as well as diagnosis and treatment quality for simulated cases of pediatric DD/ASD/ID patients, and delivers additional clinical utility over existing CMA tests.
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Affiliation(s)
- John Peabody
- University of California, San Francisco, CA, United States of America
- University of California, Los Angeles, CA, United States of America
- QURE Healthcare, San Francisco, CA, United States of America
| | - Megan Martin
- Lineagen, Salt Lake City, UT, United States of America
| | - Lisa DeMaria
- QURE Healthcare, San Francisco, CA, United States of America
| | | | - David Paculdo
- QURE Healthcare, San Francisco, CA, United States of America
| | - Michael Paul
- Lineagen, Salt Lake City, UT, United States of America
| | - Rena Vanzo
- Lineagen, Salt Lake City, UT, United States of America
| | | | - Trever Burgon
- QURE Healthcare, San Francisco, CA, United States of America
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23
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Chromosomal Microarray Analysis of Consecutive Individuals with Autism Spectrum Disorders Using an Ultra-High Resolution Chromosomal Microarray Optimized for Neurodevelopmental Disorders. Int J Mol Sci 2016; 17:ijms17122070. [PMID: 27941670 PMCID: PMC5187870 DOI: 10.3390/ijms17122070] [Citation(s) in RCA: 49] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2016] [Revised: 11/29/2016] [Accepted: 12/04/2016] [Indexed: 02/07/2023] Open
Abstract
Copy number variants (CNVs) detected by chromosomal microarray analysis (CMA) significantly contribute to understanding the etiology of autism spectrum disorder (ASD) and other related conditions. In recognition of the value of CMA testing and its impact on medical management, CMA is in medical guidelines as a first-tier test in the evaluation of children with these disorders. As CMA becomes adopted into routine care for these patients, it becomes increasingly important to report these clinical findings. This study summarizes the results of over 4 years of CMA testing by a CLIA-certified clinical testing laboratory. Using a 2.8 million probe microarray optimized for the detection of CNVs associated with neurodevelopmental disorders, we report an overall CNV detection rate of 28.1% in 10,351 consecutive patients, which rises to nearly 33% in cases without ASD, with only developmental delay/intellectual disability (DD/ID) and/or multiple congenital anomalies (MCA). The overall detection rate for individuals with ASD is also significant at 24.4%. The detection rate and pathogenic yield of CMA vary significantly with the indications for testing, age, and gender, as well as the specialty of the ordering doctor. We note discrete differences in the most common recurrent CNVs found in individuals with or without a diagnosis of ASD.
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24
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Clinical Performance of an Ultrahigh Resolution Chromosomal Microarray Optimized for Neurodevelopmental Disorders. BIOMED RESEARCH INTERNATIONAL 2016; 2016:3284534. [PMID: 27975050 PMCID: PMC5128689 DOI: 10.1155/2016/3284534] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/17/2016] [Revised: 09/27/2016] [Accepted: 10/20/2016] [Indexed: 11/21/2022]
Abstract
Copy number variants (CNVs) as detected by chromosomal microarray analysis (CMA) significantly contribute to the etiology of neurodevelopmental disorders, such as developmental delay (DD), intellectual disability (ID), and autism spectrum disorder (ASD). This study summarizes the results of 3.5 years of CMA testing by a CLIA-certified clinical testing laboratory 5487 patients with neurodevelopmental conditions were clinically evaluated for rare copy number variants using a 2.8-million probe custom CMA optimized for the detection of CNVs associated with neurodevelopmental disorders. We report an overall detection rate of 29.4% in our neurodevelopmental cohort, which rises to nearly 33% when cases with DD/ID and/or MCA only are considered. The detection rate for the ASD cohort is also significant, at 25%. Additionally, we find that detection rate and pathogenic yield of CMA vary significantly depending on the primary indications for testing, the age of the individuals tested, and the specialty of the ordering doctor. We also report a significant difference between the detection rate on the ultrahigh resolution optimized array in comparison to the array from which it originated. This increase in detection can significantly contribute to the efficient and effective medical management of neurodevelopmental conditions in the clinic.
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25
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DICER1 deletion and 14q32 microdeletion syndrome: an additional case and a review of the literature. Clin Dysmorphol 2016; 25:37-40. [PMID: 26513514 DOI: 10.1097/mcd.0000000000000105] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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26
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Rosenfeld JA, Patel A. Chromosomal Microarrays: Understanding Genetics of Neurodevelopmental Disorders and Congenital Anomalies. J Pediatr Genet 2016; 6:42-50. [PMID: 28180026 DOI: 10.1055/s-0036-1584306] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2015] [Accepted: 04/23/2016] [Indexed: 01/09/2023]
Abstract
Chromosomal microarray (CMA) testing, used to identify DNA copy number variations (CNVs), has helped advance knowledge about genetics of human neurodevelopmental disease and congenital anomalies. It has aided in discovering new CNV syndromes and uncovering disease genes. It has discovered CNVs that are not fully penetrant and/or cause a spectrum of phenotypes, including intellectual disability, autism, schizophrenia, and dysmorphisms. Such CNVs can pose challenges to genetic counseling. They also have helped increase knowledge of genetic risk factors for neurodevelopmental disease and raised awareness of possible shared etiologies among these variable phenotypes. Advances in CMA technology allow CNV identification at increasingly finer scales, improving detection of pathogenic changes, although these sometimes are difficult to distinguish from normal population variation. This paper confronts some of the challenges uncovered by CMA testing while reviewing advances in genetics and the clinical use of this test that has replaced standard karyotyping in most genetic evaluations.
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Affiliation(s)
- Jill A Rosenfeld
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas, United States; Baylor Miraca Genetics Laboratories, Baylor College of Medicine, Houston, Texas, United States
| | - Ankita Patel
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas, United States; Baylor Miraca Genetics Laboratories, Baylor College of Medicine, Houston, Texas, United States
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27
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Reiff M, Giarelli E, Bernhardt BA, Easley E, Spinner NB, Sankar PL, Mulchandani S. Parents' perceptions of the usefulness of chromosomal microarray analysis for children with autism spectrum disorders. J Autism Dev Disord 2016; 45:3262-75. [PMID: 26066358 DOI: 10.1007/s10803-015-2489-3] [Citation(s) in RCA: 63] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
Clinical guidelines recommend chromosomal microarray analysis (CMA) for all children with autism spectrum disorders (ASDs). We explored the test's perceived usefulness among parents of children with ASD who had undergone CMA, and received a result categorized as pathogenic, variant of uncertain significance, or negative. Fifty-seven parents participated in a semi-structured telephone interview, and 50 also completed a survey. Most parents reported that CMA was helpful for their child and family. Major themes regarding perceived usefulness were: medical care, educational and behavioral interventions, causal explanation, information for family members, and advancing knowledge. Limits to utility, uncertainties and negative outcomes were also identified. Our findings highlight the importance of considering both health and non-health related utility in genomic testing.
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Affiliation(s)
- Marian Reiff
- Division of Translational Medicine and Human Genetics, Perelman School of Medicine, University of Pennsylvania, 3400 Spruce Street, Penn Tower Room 1112, Philadelphia, PA, 19104, USA.
| | - Ellen Giarelli
- College of Nursing and Health Professions, Drexel University, Philadelphia, PA, USA
| | - Barbara A Bernhardt
- Division of Translational Medicine and Human Genetics, Perelman School of Medicine, University of Pennsylvania, 3400 Spruce Street, Penn Tower Room 1112, Philadelphia, PA, 19104, USA
| | - Ebony Easley
- Mixed Methods Research Lab, University of Pennsylvania, Philadelphia, PA, USA
| | - Nancy B Spinner
- Division of Genomic Diagnostics and Human Genetics, Children's Hospital of Philadelphia, Philadelphia, PA, USA.,Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Pamela L Sankar
- Department of Medical Ethics and Health Policy, University of Pennsylvania, Philadelphia, PA, USA
| | - Surabhi Mulchandani
- Division of Genomic Diagnostics and Human Genetics, Children's Hospital of Philadelphia, Philadelphia, PA, USA
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28
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Peabody J, DeMaria L, Tamandong-LaChica D, Florentino J, Acelajado MC, Burgon T. Low Rates of Genetic Testing in Children With Developmental Delays, Intellectual Disability, and Autism Spectrum Disorders. Glob Pediatr Health 2015; 2:2333794X15623717. [PMID: 27335989 PMCID: PMC4784627 DOI: 10.1177/2333794x15623717] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022] Open
Abstract
To explore the routine and effective use of genetic testing for patients with intellectual disability and developmental delay (ID/DD), we conducted a prospective, randomized observational study of 231 general pediatricians (40%) and specialists (60%), using simulated patients with 9 rare pediatric genetic illnesses. Participants cared for 3 randomly assigned simulated patients, and care responses were scored against explicit evidence-based criteria. Scores were calculated as a percentage of criteria completed. Care varied widely, with a median overall score of 44.7% and interquartile range of 36.6% to 53.7%. Diagnostic accuracy was low: 27.4% of physicians identified the correct primary diagnosis. Physicians ordered chromosomal microarray analysis in 55.7% of cases. Specific gene sequence testing was used in 1.4% to 30.3% of cases. This study demonstrates that genetic testing is underutilized, even for widely available tests. Further efforts to educate physicians on the clinical utility of genetic testing may improve diagnosis and care in these patients.
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Affiliation(s)
- John Peabody
- QURE Healthcare, San Francisco, CA, USA; University of California, San Francisco and Los Angeles, USA
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29
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Sagoo GS, Mohammed S, Barton G, Norbury G, Ahn JW, Ogilvie CM, Kroese M. Cost Effectiveness of Using Array-CGH for Diagnosing Learning Disability. APPLIED HEALTH ECONOMICS AND HEALTH POLICY 2015; 13:421-432. [PMID: 25894741 DOI: 10.1007/s40258-015-0172-7] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/04/2023]
Abstract
OBJECTIVE To undertake a cost-effectiveness analysis of using microarray comparative genomic hybridisation (array-CGH) as a first-line test versus as a second-line test for the diagnosis of causal chromosomal abnormalities in patients referred to a NHS clinical genetics service in the U.K. with idiopathic learning disability, developmental delay and/or congenital anomalies. METHODS A cost-effectiveness study was conducted. The perspective is that of a U.K. NHS clinical genetics service provider (with respect to both costs and outcomes). A cohort of patients (n = 1590) referred for array-CGH testing of undiagnosed learning disability and developmental delay by a single NHS regional clinical genetics service (South East Thames Regional Genetics Service), were split into a before-and-after design where 742 patients had array-CGH as a second-line test (before group-comparator intervention) and 848 patients had array-CGH as a first-line test (after group-evaluated intervention). The mean costs were calculated from the clinical genetics testing pathway constructed for each patient including the costs of genetic testing undertaken and clinical appointments scheduled. The outcome was the number of diagnoses each intervention produced so that a mean cost-per-diagnosis could be calculated. The cost effectiveness of the two interventions was calculated as an incremental cost-effectiveness ratio to produce an incremental cost-per-diagnosis (in 2013 GBP). Sensitivity analyses were conducted by altering both costs and effects to check the validity of the outcome. RESULTS The incremental mean cost of testing patients using the first-line testing strategy was -GBP241.56 (95% CIs -GBP256.93 to -GBP226.19) and the incremental mean gain in the percentage diagnoses was 0.39% (95% CIs -2.73 to 3.51%), which equates to an additional 1 diagnosis per 256 patients tested. This cost-effectiveness study comparing these two strategies estimates that array-CGH first-line testing dominates second-line testing because it was both less costly and as effective. The sensitivity analyses conducted (adjusting both costs and effects) supported the dominance of the first-line testing strategy (i.e. lower cost and as effective). CONCLUSIONS The first-line testing strategy was estimated to dominate the second-line testing strategy because it was both less costly and as effective. These findings are relevant to the wider UK NHS clinical genetics service, with two key strengths of this study being the appropriateness of the comparator interventions and the direct applicability of the patient cohort within this study and the wider UK patient population.
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Affiliation(s)
- G S Sagoo
- PHG Foundation, 2 Worts Causeway, Cambridge, UK,
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30
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Pfundt R, Kwiatkowski K, Roter A, Shukla A, Thorland E, Hockett R, DuPont B, Fung ET, Chaubey A. Clinical performance of the CytoScan Dx Assay in diagnosing developmental delay/intellectual disability. Genet Med 2015; 18:168-73. [DOI: 10.1038/gim.2015.51] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2014] [Accepted: 03/04/2015] [Indexed: 11/09/2022] Open
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31
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Konialis C, Pangalos C. Dilemmas in Prenatal Chromosomal Diagnosis Revealed Through a Single Center's 30 Years' Experience and 90,000 Cases. Fetal Diagn Ther 2015; 38:218-32. [PMID: 25659342 DOI: 10.1159/000368604] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2014] [Accepted: 09/21/2014] [Indexed: 11/19/2022]
Abstract
INTRODUCTION The aim of this article is to provide a perspective of prenatal chromosomal diagnosis (PCD) derived from a single center's evolving experience from ∼90,000 consecutive prenatal cases and to highlight important issues and current dilemmas. MATERIALS AND METHODS Prenatal cases in this study (1985-2013) were referred for various indications, and PCD was performed by standard karyotype in 84,255 cases, multiplex ligation-dependent probe amplification (MLPA) panel in 3,010 cases and standalone array comparative genomic hybridization (aCGH) in 3,122 cases. RESULTS Classic karyotype revealed 1.7 and 7.9% of pathological cases in amniotic fluid and CVS samples, respectively, with common aneuploidies accounting for 59.6 and 64.3% of the total abnormal. Molecular approaches increased the diagnostic yield by 0.6% for MLPA and 1.6% for aCGH, uncovering pathogenic chromosomal abnormalities undetectable by karyotype analysis. CONCLUSIONS Current molecular diagnostic capabilities and the recent introduction of noninvasive prenatal testing (NIPT) point to one current major dilemma in PCD, with serious implications in genetic counseling, relating on the one hand to reaping the benefits from the high detection rate afforded through aCGH but accepting an invasive risk, and on the other hand, offering a lower detection rate practically only for Down syndrome, with minimal invasive risk.
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Affiliation(s)
- Christopher Konialis
- Department of Molecular Genetics and Genomics, InterGenetics - Diagnostic Genetic Centre, Athens, Greece
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Hayeems RZ, Hoang N, Chenier S, Stavropoulos DJ, Pu S, Weksberg R, Shuman C. Capturing the clinical utility of genomic testing: medical recommendations following pediatric microarray. Eur J Hum Genet 2014; 23:1135-41. [PMID: 25491637 PMCID: PMC4538218 DOI: 10.1038/ejhg.2014.260] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2014] [Revised: 10/01/2014] [Accepted: 10/21/2014] [Indexed: 01/08/2023] Open
Abstract
Interpretation of pediatric chromosome microarray (CMA) results presents diagnostic and medical management challenges. Understanding management practices triggered by CMA will inform clinical utility and resource planning. Using a retrospective cohort design, we extracted clinical and management-related data from the records of 752 children with congenital anomalies and/or developmental delay who underwent CMA in an academic pediatric genetics clinic (2009–2011). Frequency distributions and relative rates (RR) of post-CMA medical recommendations in children with reportable and benign CMA results were calculated. Medical recommendations were provided for 79.6% of children with reportable results and 62.0% of children with benign results. Overall, recommendations included specialist consultation (40.8%), imaging (32.5%), laboratory investigations (17.2%), surveillance (4.6%), and family investigations (4.9%). Clinically significant variants and variants of uncertain clinical significance were associated with higher and slightly higher rates of management recommendations, respectively, compared with benign/no variants (RR=1.34; 95% CI (1.22–1.47); RR=1.23; 95% CI (1.09–1.38)). Recommendation rates for clinically significant versus uncertain results depended upon how uncertainty was classified (RRbroad=1.09; 95% CI (0.99–1.2); RRnarrow=1.12; 95% CI (1.02–1.24)). Recommendation rates also varied by the child's age and provider type. In conclusion, medical recommendations follow CMA for the majority of children. Compared with benign CMA results, clinically significant CMA variants are a significant driver of pediatric medical recommendations. Variants of uncertain clinical significance drive recommendations, but to a lesser extent. As a broadening range of specialists will need to respond to CMA results, targeted capacity building is warranted.
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Affiliation(s)
- Robin Z Hayeems
- 1] Program in Child Health Evaluative, Research Institute, The Hospital for Sick Children, Toronto, ON, Canada [2] Institute of Health Policy Management and Evaluation, The University of Toronto, Toronto, ON, Canada
| | - Ny Hoang
- 1] Division of Clinical and Metabolic Genetics, The Hospital for Sick Children, Toronto, ON, Canada [2] Program in Genetics and Genome Biology, Research Institute, The Hospital for Sick Children, Toronto, ON, Canada
| | - Sebastien Chenier
- Centre Hospitalier Universitaire de Sherbrooke, Sherbrooke, QC, Canada
| | - Dimitri J Stavropoulos
- Department of Paediatric Laboratory Medicine, The Hospital for Sick Children and The University of Toronto, Toronto, ON, Canada
| | - Shuye Pu
- Terrence Donnelly Centre for Cellular and Biomolecular Research, University of Toronto, Toronto, ON, Canada
| | - Rosanna Weksberg
- 1] Division of Clinical and Metabolic Genetics, The Hospital for Sick Children, Toronto, ON, Canada [2] Program in Genetics and Genome Biology, Research Institute, The Hospital for Sick Children, Toronto, ON, Canada [3] Department of Molecular Genetics, University of Toronto, Toronto, ON, Canada [4] Institute of Medical Sciences, University of Toronto, Toronto, ON, Canada
| | - Cheryl Shuman
- 1] Division of Clinical and Metabolic Genetics, The Hospital for Sick Children, Toronto, ON, Canada [2] Program in Genetics and Genome Biology, Research Institute, The Hospital for Sick Children, Toronto, ON, Canada [3] Department of Molecular Genetics, University of Toronto, Toronto, ON, Canada
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Tao VQ, Chan KYK, Chu YWY, Mok GTK, Tan TY, Yang W, Lee SL, Tang WF, Tso WWY, Lau ET, Kan ASY, Tang MH, Lau YL, Chung BHY. The clinical impact of chromosomal microarray on paediatric care in Hong Kong. PLoS One 2014; 9:e109629. [PMID: 25333781 PMCID: PMC4198120 DOI: 10.1371/journal.pone.0109629] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2014] [Accepted: 09/03/2014] [Indexed: 01/27/2023] Open
Abstract
Objective To evaluate the clinical impact of chromosomal microarray (CMA) on the management of paediatric patients in Hong Kong. Methods We performed NimbleGen 135k oligonucleotide array on 327 children with intellectual disability (ID)/developmental delay (DD), autism spectrum disorders (ASD), and/or multiple congenital anomalies (MCAs) in a university-affiliated paediatric unit from January 2011 to May 2013. The medical records of patients were reviewed in September 2013, focusing on the pathogenic/likely pathogenic CMA findings and their “clinical actionability” based on established criteria. Results Thirty-seven patients were reported to have pathogenic/likely pathogenic results, while 40 had findings of unknown significance. This gives a detection rate of 11% for clinically significant (pathogenic/likely pathogenic) findings. The significant findings have prompted clinical actions in 28 out of 37 patients (75.7%), while the findings with unknown significance have led to further management recommendation in only 1 patient (p<0.001). Nineteen out of the 28 management recommendations are “evidence-based” on either practice guidelines endorsed by a professional society (n = 9, Level 1) or peer-reviewed publications making medical management recommendation (n = 10, Level 2). CMA results impact medical management by precipitating referral to a specialist (n = 24); diagnostic testing (n = 25), surveillance of complications (n = 19), interventional procedure (n = 7), medication (n = 15) or lifestyle modification (n = 12). Conclusion The application of CMA in children with ID/DD, ASD, and/or MCAs in Hong Kong results in a diagnostic yield of ∼11% for pathogenic/likely pathogenic results. Importantly the yield for clinically actionable results is 8.6%. We advocate using diagnostic yield of clinically actionable results to evaluate CMA as it provides information of both clinical validity and clinical utility. Furthermore, it incorporates evidence-based medicine into the practice of genomic medicine. The same framework can be applied to other genomic testing strategies enabled by next-generation sequencing.
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Affiliation(s)
- Victoria Q. Tao
- Department of Paediatrics and Adolescent Medicine, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Kelvin Y. K. Chan
- Department of Obstetrics and Gynecology, Queen Mary Hospital, Hong Kong Special Administrative Region, China
| | - Yoyo W. Y. Chu
- Department of Paediatrics and Adolescent Medicine, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Gary T. K. Mok
- Department of Paediatrics and Adolescent Medicine, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Tiong Y. Tan
- Department of Paediatrics and Adolescent Medicine, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China
- Victorian Clinical Genetics Service, Murdoch Children's Research Institute, Royal Children's Hospital, Department of Paediatrics, University of Melbourne, Melbourne, Australia
| | - Wanling Yang
- Department of Paediatrics and Adolescent Medicine, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China
| | - So Lun Lee
- Department of Paediatrics and Adolescent Medicine, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Wing Fai Tang
- Department of Obstetrics and Gynecology, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Winnie W. Y. Tso
- Department of Paediatrics and Adolescent Medicine, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Elizabeth T. Lau
- Department of Obstetrics and Gynecology, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Anita S. Y. Kan
- Department of Obstetrics and Gynecology, Queen Mary Hospital, Hong Kong Special Administrative Region, China
| | - Mary H. Tang
- Department of Obstetrics and Gynecology, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Yu-lung Lau
- Department of Paediatrics and Adolescent Medicine, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Brian H. Y. Chung
- Department of Paediatrics and Adolescent Medicine, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China
- Department of Obstetrics and Gynecology, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China
- * E-mail:
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Reiff M, Mueller R, Mulchandani S, Spinner NB, Pyeritz RE, Bernhardt BA. A qualitative study of healthcare providers' perspectives on the implications of genome-wide testing in pediatric clinical practice. J Genet Couns 2014; 23:474-88. [PMID: 24037030 PMCID: PMC3955216 DOI: 10.1007/s10897-013-9653-8] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2013] [Accepted: 08/22/2013] [Indexed: 12/20/2022]
Abstract
The utilization of genome-wide chromosomal microarray analysis (CMA) in pediatric clinical practice provides an opportunity to consider how genetic diagnostics is evolving, and to prepare for the clinical integration of genome-wide sequencing technologies. We conducted semi-structured interviews with 15 healthcare providers (7 genetic counselors, 4 medical geneticists, and 4 non-genetics providers) to investigate the impact of CMA on clinical practice, and implications for providers, patients and families. Interviews were analyzed qualitatively using content analysis. Most providers reported that genomic testing enhanced their professional experience and was beneficial to patients, primarily due to the improved diagnostic rate compared with earlier chromosomal studies. Other effects on practice included moving towards genotype-first diagnosis and broadening indications for chromosomal testing. Opinions varied concerning informed consent and disclosure of results. The duty to disclose incidental findings (IFs) was noted; however concerns were raised about potential psychosocial harms of disclosing pre-symptomatic findings. Tensions were revealed between the need for comprehensive informed consent for all families and the challenges of communicating time-consuming and potentially anxiety-provoking information regarding uncertain and incidental findings that may be relevant only in rare cases. Genetic counselors can play an important role in liaising with families, health professionals and testing laboratories, providing education and guidance to non-genetics providers, and enabling families to receive adequate pre-and post-test information and follow-up care.
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Affiliation(s)
- Marian Reiff
- Center for the Integration of Genetic Health Care Technologies, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA,
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Caramaschi E, Stanghellini I, Magini P, Giuffrida MG, Scullin S, Giuva T, Bergonzini P, Guerra A, Paolucci P, Percesepe A. Predictive diagnostic value for the clinical features accompanying intellectual disability in children with pathogenic copy number variations: a multivariate analysis. Ital J Pediatr 2014; 40:39. [PMID: 24775911 PMCID: PMC4014206 DOI: 10.1186/1824-7288-40-39] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/21/2013] [Accepted: 04/14/2014] [Indexed: 11/10/2022] Open
Abstract
Background Array comparative genomic hybridization (a-CGH) has become the first-tier investigation in patients with unexplained developmental delay/intellectual disability (DD/ID). Although the costs are progressively decreasing, a-CGH is still an expensive and labour-intensive technique: for this reason a definition of the categories of patients that can benefit the most of the analysis is needed. Aim of the study was to retrospectively analyze the clinical features of children with DD/ID attending the outpatient clinic of the Mother & Child Department of the University Hospital of Modena subjected to a-CGH, to verify by uni- and multivariate analysis the independent predictors of pathogenic CNVs. Methods 116 patients were included in the study. Data relative to the CNVs and to the patients’ clinical features were analyzed for genotype/phenotype correlations. Results and conclusions 27 patients (23.3%) presented pathogenic CNVs (21 deletions, 3 duplications and 3 cases with both duplications and deletions). Univariate analysis showed a significant association of the pathogenic CNVs with the early onset of symptoms (before 1 yr of age) and the presence of malformations and dysmorphisms. Logistic regression analysis showed a significant independent predictive value for diagnosing a pathogenic CNV for malformations (P = 0.002) and dysmorphisms (P = 0.023), suggesting that those features should address a-CGH analysis as a high-priority test for diagnosis.
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Affiliation(s)
| | | | | | | | | | | | | | | | | | - Antonio Percesepe
- Medical Genetics Unit, Department of Mother & Child, University Hospital of Modena, Via del Pozzo, 71, 41124 Modena, Italy.
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The impact of chromosomal microarray on clinical management: a retrospective analysis. Genet Med 2014; 16:657-64. [PMID: 24625444 DOI: 10.1038/gim.2014.18] [Citation(s) in RCA: 56] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2013] [Accepted: 01/31/2014] [Indexed: 11/09/2022] Open
Abstract
PURPOSE Chromosomal microarray has been widely adopted as the first-tier clinical test for individuals with multiple congenital anomalies, developmental delay, intellectual disability, and autism spectrum disorders. Although chromosomal microarray has been extensively shown to provide a higher diagnostic yield than conventional cytogenetic methods, some health insurers refuse to provide coverage for this test, claiming that it is experimental and does not affect patients' clinical management. METHODS We retrospectively reviewed the electronic medical records of all patients who had abnormal chromosomal microarray findings reported by our laboratory over a 3-year period and quantified the management recommendations made in response to these results. RESULTS Abnormal chromosomal microarray findings were reported for 12.7% of patients (227/1,780). For patients with clinical follow-up notes available, these results had management implications for 54.5% of patients in the entire abnormal cohort (102/187) and for 42.1% of patients referred for isolated neurodevelopmental disorders (16/38). Recommendations included pharmacological treatment, cancer-related screening or exclusion of screening, contraindications, and referrals for further evaluation. CONCLUSION These results empirically demonstrate the clinical utility of chromosomal microarray by providing evidence that management was directly affected for the majority of patients in our cohort with abnormal chromosomal microarray findings.
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Helm BM, Langley K, Spangler B, Vergano S. Three clinical experiences with SNP array results consistent with parental incest: a narrative with lessons learned. J Genet Couns 2013; 23:489-95. [PMID: 24222483 DOI: 10.1007/s10897-013-9669-0] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2013] [Accepted: 10/31/2013] [Indexed: 02/05/2023]
Abstract
Single nucleotide polymorphism microarrays have the ability to reveal parental consanguinity which may or may not be known to healthcare providers. Consanguinity can have significant implications for the health of patients and for individual and family psychosocial well-being. These results often present ethical and legal dilemmas that can have important ramifications. Unexpected consanguinity can be confounding to healthcare professionals who may be unprepared to handle these results or to communicate them to families or other appropriate representatives. There are few published accounts of experiences with consanguinity and SNP arrays. In this paper we discuss three cases where molecular evidence of parental incest was identified by SNP microarray. We hope to further highlight consanguinity as a potential incidental finding, how the cases were handled by the clinical team, and what resources were found to be most helpful. This paper aims to contribute further to professional discourse on incidental findings with genomic technology and how they were addressed clinically. These experiences may provide some guidance on how others can prepare for these findings and help improve practice. As genetic and genomic testing is utilized more by non-genetics providers, we also hope to inform about the importance of engaging with geneticists and genetic counselors when addressing these findings.
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Affiliation(s)
- Benjamin M Helm
- Department of Medical Genetics and Metabolism, Children's Hospital of the King's Daughters/Eastern Virginia Medical School, 601 Children's Lane, 2nd Floor Pediatrics, Norfolk, VA, 23507, USA,
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Shea L, Newschaffer CJ, Xie M, Myers SM, Mandell DS. Genetic testing and genetic counseling among Medicaid-enrolled children with autism spectrum disorder in 2001 and 2007. Hum Genet 2013; 133:111-6. [PMID: 24036677 DOI: 10.1007/s00439-013-1362-8] [Citation(s) in RCA: 22] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2013] [Accepted: 09/08/2013] [Indexed: 11/24/2022]
Abstract
The rise in the prevalence of autism spectrum disorder (ASD) has resulted in increased efforts to understand the causes of this complex set of disorders that emerge early in childhood. Although research in this area is underway and yielding useful, but complex information about ASD, guidelines for the use of genetic testing and counseling among children with ASD conflict. The purpose of this study was to determine the frequency of use of genetic testing and counseling before the widespread implementation of clinical chromosomal microarray (CMA) to establish a baseline for the use of both services and to investigate potential disparities in the use of both services among children with ASD. We found that about two-thirds of children with ASD received genetic testing or counseling and the use of both services is increasing with time, even in the pre-CMA era. Being female and having a comorbid intellectual disability diagnosis both increased the likelihood of receiving genetic testing and genetic counseling. Initial discrepancies in the use of both services based on race/ethnicity suggest that troubling disparities observed in other services delivered to children with ASD and other mental health disorders persist in genetic testing and counseling as well. These results should incentivize further investigation of the impact of genetic testing and counseling on children with ASD and their families, and should drive efforts to explore and confront disparities in the delivery of these services, particularly with the advancing scientific research on this topic.
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Affiliation(s)
- Lindsay Shea
- A.J. Drexel Autism Institute, Drexel University, 3020 Market St., Suite 560, Philadelphia, PA, 19104-3734, USA,
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Kelley-Quon LI, Tseng CH, Janzen C, Shew SB. Congenital malformations associated with assisted reproductive technology: a California statewide analysis. J Pediatr Surg 2013; 48:1218-24. [PMID: 23845610 DOI: 10.1016/j.jpedsurg.2013.03.017] [Citation(s) in RCA: 27] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/19/2013] [Accepted: 03/08/2013] [Indexed: 11/29/2022]
Abstract
BACKGROUND Management of congenital malformations comprises a large part of pediatric surgical care. Despite increasing utilization of assisted reproductive technology (ART) and fertility-related services (FRS), associations with birth defects are poorly understood. METHODS Infants born after ART or FRS were identified from the California Linked Birth Cohort Dataset from 2006 to 2007 and compared to propensity matched infants conceived naturally. Factors associated with major congenital malformations were evaluated using Firth logistic regression. RESULTS With a cohort of 4,795 infants born after ART and 46,025 naturally conceived matched controls, major congenital malformations were identified in 3,463 infants. Malformations were increased for ART infants (9.0% vs. 6.6%, p<0.001). After adjusting for infant and maternal factors, ART infants exhibited increased odds of major malformations overall (OR 1.25, 95% CI 1.12-1.39), specifically defects of the eye (OR 1.81, 95% CI 1.04-3.16), head and neck (OR 1.37, 95% CI 1.00-1.86), heart (OR 1.41, 95% CI 1.22-1.64), and genitourinary system (OR 1.40, 95% CI 1.09-1.82). The likelihood of birth defects was increased for multiples (OR 1.35, 95% CI 1.18-1.54) and not singletons. Odds of congenital malformation after FRS alone (n=1,749) were non-significant. CONCLUSION ART contributes a significant risk of congenital malformation and may be more pronounced for multiples. Accurate counseling for parents considering ART and multidisciplinary coordination of care prior to delivery are warranted.
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Affiliation(s)
- Lorraine I Kelley-Quon
- Division of Pediatric Surgery, Department of Surgery, Mattel Children's Hospital, David Geffen School of Medicine at UCLA, Los Angeles, CA 90095-7098, USA
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