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Ajami N, Soleimani A, Jafarzadeh‐Esfehani R, Hasanpour M, Rashid Shomali R, Abbaszadegan MR. Mutational landscape of phenylketonuria in Iran. J Cell Mol Med 2023; 27:2457-2466. [PMID: 37525467 PMCID: PMC10468661 DOI: 10.1111/jcmm.17865] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2022] [Revised: 06/11/2023] [Accepted: 06/28/2023] [Indexed: 08/02/2023] Open
Abstract
To date more than 1000 different variants in the PAH gene have been identified in patients with phenylketonuria (PKU). In Iran, several studies have been performed to investigate the genetics bases of the PKU in different parts of the country. In this study, we have analysed and present an update of the mutational landscape of the PAH gene as well as the population genetics and frequencies of detected variants for each cohort. Published articles on PKU mutations in Iran were identified through a comprehensive PubMed, Google Scholar, Web of Science (ISI), SCOPUS, Elsevier, Wiley Online Library and SID literature search using the terms: "phenylketonuria", "hyperphenylalaninemia", and "PKU" in combination with "Iran", "Iranian population", "mutation analysis", and "Molecular genetics". Among the literature-related to genetics of PKU, 18 studies were on the PKU mutations. According to these studies, in different populations of Iran 1497 patients were included for mutation detection that resulted in detection of 129 different mutations. Results of genetic analysis of the different cohorts of Iranian PKU patients show that the most prevalent mutation in Iran is the pathogenic splice variant c.1066-11G > A, occurring in 19.54% of alleles in the cohort. Four other common mutations were p.Arg261Gln, p.Pro281Leu, c.168 + 5G > C and p.Arg243Ter (8.18%, 6.45%, 5.88% and 3.7%, respectively). One notable feature of the studied populations is its high rate of consanguineous marriages. Considering this feature, determining the prevalent PKU mutations could be advantageous for designing screening and diagnostic panels in Iran.
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Affiliation(s)
- Naser Ajami
- Department of Medical Genetics and Molecular Medicine, School of MedicineMashhad University of Medical SciencesMashhadIran
- Medical Genetics Research Center, School of MedicineMashhad University of Medical SciencesMashhadIran
| | - Anvar Soleimani
- Department of Medical Microbiology, College of Health SciencesCihan University‐ SulaimaniyaSulaimaniyaIraq
| | - Reza Jafarzadeh‐Esfehani
- Blood Borne Infections Research Center, Academic Center for EducationCulture and Research (ACECR)‐ Khorasan RazaviMashhadIran
| | - Mojtaba Hasanpour
- Department of Biology, Faculty of SciencesUniversity of GuilanRashtIran
| | - Romina Rashid Shomali
- Reproductive Health Research Center, Department of Obstetrics and Gynecology, Alzahra HospitalGuilan University of Medical SciencesRashtIran
| | - Mohammad Reza Abbaszadegan
- Department of Medical Genetics and Molecular Medicine, School of MedicineMashhad University of Medical SciencesMashhadIran
- Immunology Research CenterMashhad University of Medical SciencesMashhadIran
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Mardani-Hamooleh M, Heidari H. Life story of Iranian parents of a child with phenylketonuria: a qualitative study. J Community Genet 2023; 14:419-427. [PMID: 37277551 PMCID: PMC10444926 DOI: 10.1007/s12687-023-00653-z] [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: 10/17/2022] [Accepted: 05/22/2023] [Indexed: 06/07/2023] Open
Abstract
Parents of a child with phenylketonuria (PKU) face many challenges in childcare. It is crucial for health care workers to understand the situation of parents of a child with PKU and their needs. The purpose of this study was to explore the life story of parents with a child with PKU. This qualitative study has been done with a conventional content analysis approach. Twenty-four parents were selected purposefully. A semi-structured interview was conducted. Data analysis identified three main themes, which included parental reactions, consequences of a child with PKU in parents, and parents' needs. Parents of children with PKU can be considered people at risk for mental health because of their feelings of isolation and their lonely struggle to manage the disease and its effects on their child. This study shows that mothers need more support due to the misconceptions in and attitudes of their social environment. Therefore, it is necessary to understand this group, their needs and lives, and provide further support and promote empathy in the health system for the parents.
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Affiliation(s)
- Marjan Mardani-Hamooleh
- School of Nursing and Midwifery, Department of Nursing, Iran University of Medical Sciences, Tehran, Iran
| | - Haydeh Heidari
- School of Nursing and Midwifery, Modeling in Health Research Center, Department of Nursing, Shahrekord University of Medical Sciences, Shahrekord, Iran.
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Multiplex Snapshot minisequencing for the detection of common PAH gene mutations in Iranian patients with Phenylketonuria. IRANIAN BIOMEDICAL JOURNAL 2023; 27:46-57. [PMID: 36624928 PMCID: PMC9971712 DOI: 10.52547/ibj.3856] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 01/11/2023]
Abstract
Background Phenylketonuria is a common inborn defect of amino acid metabolism in the world. This failure is caused by an autosomal recessive insufficiency of the hepatic enzyme hyperphenylalaninemia (PAH), which catalyzes the irreversible hydroxylation of phenylalanine to tyrosine. More than 1,040 different disease-causing mutations have already been identified in the PAH gene. The most prominent complication of Phenylketonuria, if not diagnosed and treated, is severe mental retardation. Hence, early diagnosis and initiation of nutritional therapy are the most significant measures in preventing this mental disorder. Given these data, we developed a simple and rapid molecular test to detect the most frequent PAH mutations. Methods Multiplex assay was developed based on the SNaPshot minisequencing approach to simultaneously perform genotyping of the 10 mutations at the PAH gene. We optimized detection of these mutations in one multiplex PCR, followed by 10 single-nucleotide extension reactions. DNA sequencing assay was also used to verify genotyping results obtained by SNaPshot minisequencing. Result All 10 genotypes were determined based on the position and the fluorescent color of the peaks in a single electropherogram. Sequencing results of these frequent mutations showed that by using this method, a 100% detection rate could be achieved in the Iranian population. Conclusion SNaPshot minisequencing can be useful as a secondary test in neonatal screening for HPA in neonates with a positive screening test, and it is also suitable for carrier screening. The assay can be easily applied for accurate and time- and cost-efficient genotyping of the selected SNPs in various population.
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Barbosa-Gouveia S, Vázquez-Mosquera ME, González-Vioque E, Álvarez JV, Chans R, Laranjeira F, Martins E, Ferreira AC, Avila-Alvarez A, Couce ML. Utility of Gene Panels for the Diagnosis of Inborn Errors of Metabolism in a Metabolic Reference Center. Genes (Basel) 2021; 12:1262. [PMID: 34440436 PMCID: PMC8391361 DOI: 10.3390/genes12081262] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2021] [Revised: 08/04/2021] [Accepted: 08/16/2021] [Indexed: 11/28/2022] Open
Abstract
Next-generation sequencing (NGS) technologies have been proposed as a first-line test for the diagnosis of inborn errors of metabolism (IEM), a group of genetically heterogeneous disorders with overlapping or nonspecific phenotypes. Over a 3-year period, we prospectively analyzed 311 pediatric patients with a suspected IEM using four targeted gene panels. The rate of positive diagnosis was 61.86% for intermediary metabolism defects, 32.84% for complex molecular defects, 19% for hypoglycemic/hyperglycemic events, and 17% for mitochondrial diseases, and a conclusive molecular diagnosis was established in 2-4 weeks. Forty-one patients for whom negative results were obtained with the mitochondrial diseases panel underwent subsequent analyses using the NeuroSeq panel, which groups all genes from the individual panels together with genes associated with neurological disorders (1870 genes in total). This achieved a diagnostic rate of 32%. We next evaluated the utility of a tool, Phenomizer, for differential diagnosis, and established a correlation between phenotype and molecular findings in 39.3% of patients. Finally, we evaluated the mutational architecture of the genes analyzed by determining z-scores, loss-of-function observed/expected upper bound fraction (LOEUF), and haploinsufficiency (HI) scores. In summary, targeted gene panels for specific groups of IEMs enabled rapid and effective diagnosis, which is critical for the therapeutic management of IEM patients.
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Affiliation(s)
- Sofia Barbosa-Gouveia
- Unit of Diagnosis and Treatment of Congenital Metabolic Diseases, Department of Paediatrics, IDIS-Health Research Institute of Santiago de Compostela, Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER), European Reference Network for Hereditary Metabolic Disorders (MetabERN), Santiago de Compostela University Clinical Hospital, 15704 Santiago de Compostela, Spain; (S.B.-G.); (M.E.V.-M.); (J.V.Á.); (R.C.)
| | - María E. Vázquez-Mosquera
- Unit of Diagnosis and Treatment of Congenital Metabolic Diseases, Department of Paediatrics, IDIS-Health Research Institute of Santiago de Compostela, Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER), European Reference Network for Hereditary Metabolic Disorders (MetabERN), Santiago de Compostela University Clinical Hospital, 15704 Santiago de Compostela, Spain; (S.B.-G.); (M.E.V.-M.); (J.V.Á.); (R.C.)
| | - Emiliano González-Vioque
- Department of Clinical Biochemistry, Puerta de Hierro-Majadahonda University Hospital, 28222 Majadahonda, Spain;
| | - José V. Álvarez
- Unit of Diagnosis and Treatment of Congenital Metabolic Diseases, Department of Paediatrics, IDIS-Health Research Institute of Santiago de Compostela, Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER), European Reference Network for Hereditary Metabolic Disorders (MetabERN), Santiago de Compostela University Clinical Hospital, 15704 Santiago de Compostela, Spain; (S.B.-G.); (M.E.V.-M.); (J.V.Á.); (R.C.)
| | - Roi Chans
- Unit of Diagnosis and Treatment of Congenital Metabolic Diseases, Department of Paediatrics, IDIS-Health Research Institute of Santiago de Compostela, Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER), European Reference Network for Hereditary Metabolic Disorders (MetabERN), Santiago de Compostela University Clinical Hospital, 15704 Santiago de Compostela, Spain; (S.B.-G.); (M.E.V.-M.); (J.V.Á.); (R.C.)
| | - Francisco Laranjeira
- Biochemical Genetics Unit, Centro de Genética Médica Doutor Jacinto Magalhães, 4050-466 Porto, Portugal;
| | - Esmeralda Martins
- Centro Materno-Infantil do Norte, Centro Hospitalar Universitário do Porto (CHUP), Coordinator of the Centro de Referência de Doenças Hereditárias do Metabolismo do CHUP, 4050-466 Porto, Portugal;
| | - Ana Cristina Ferreira
- Hospital D. Estefânia, Centro Hospitalar de Lisboa Central (CHLC), Coordinator of the Centro de Referência de Doenças Hereditárias do Metabolismo do CHLC, 1169-050 Lisboa, Portugal;
| | - Alejandro Avila-Alvarez
- Neonatology Unit, Pediatrics Department, Complexo Hospitalario Universitario de A Coruña, SERGAS, 15006 A Coruña, Spain;
| | - María L. Couce
- Unit of Diagnosis and Treatment of Congenital Metabolic Diseases, Department of Paediatrics, IDIS-Health Research Institute of Santiago de Compostela, Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER), European Reference Network for Hereditary Metabolic Disorders (MetabERN), Santiago de Compostela University Clinical Hospital, 15704 Santiago de Compostela, Spain; (S.B.-G.); (M.E.V.-M.); (J.V.Á.); (R.C.)
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Tan J, Chen D, Chang R, Pan L, Yang J, Yuan D, Huang L, Yan T, Ning H, Wei J, Cai R. Tandem Mass Spectrometry Screening for Inborn Errors of Metabolism in Newborns and High-Risk Infants in Southern China: Disease Spectrum and Genetic Characteristics in a Chinese Population. Front Genet 2021; 12:631688. [PMID: 34394177 PMCID: PMC8355895 DOI: 10.3389/fgene.2021.631688] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2020] [Accepted: 07/12/2021] [Indexed: 12/28/2022] Open
Abstract
Inborn errors of metabolism (IEMs) often causing progressive and irreversible neurological damage, physical and intellectual development lag or even death, and serious harm to the family and society. The screening of neonatal IEMs by tandem mass spectrometry (MS/MS) is an effective method for early diagnosis and presymptomatic treatment to prevent severe permanent sequelae and death. A total of 111,986 healthy newborns and 7,461 hospitalized high-risk infants were screened for IEMs using MS/MS to understand the characteristics of IEMs and related gene mutations in newborns and high-risk infants in Liuzhou. Positive samples were analyzed by Sanger sequencing or next-generation sequencing. The results showed that the incidence of IEMs in newborns in the Liuzhou area was 1/3,733, and the incidence of IEMs in high-risk infants was 1/393. Primary carnitine deficiency (1/9,332), phenylketonuria (1/18,664), and isovaleric acidemia (1/37,329) ranked the highest in neonates, while citrullinemia type II ranked the highest in high-risk infants (1/1,865). Further, 56 mutations of 17 IEMs-related genes were found in 49 diagnosed children. Among these, HPD c.941T > C, CBS c.1465C > T, ACADS c.337G > A, c.1195C > T, ETFA c.737G > T, MMACHC 1076bp deletion, PCCB c.132-134delGACinsAT, IVD c.548C > T, c.757A > G, GCDH c.1060G > T, and HMGCL c.501C > G were all unreported variants. Some related hotspot mutations were found, including SLC22A5 c.51C > G, PAH c.1223G > A, IVD c.1208A > G, ACADS c.625G > A, and GCDH c.532G > A. These results show that the overall incidence of IEMs in the Liuzhou area is high. Hence, the scope of IEMs screening and publicity and education should be expanded for a clear diagnosis in the early stage of the disease.
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Affiliation(s)
- Jianqiang Tan
- Key Laboratory of Prevention and Control of Birth Defects, Department of Medical Genetics, Newborn Screening Center, Liuzhou Maternity and Child Health Care Hospital, Liuzhou Institute for Reproduction and Genetics, Affiliated Maternity Hospital and Affiliated Children's Hospital of Guangxi University of Science and Technology, Liuzhou, China
| | - Dayu Chen
- Key Laboratory of Prevention and Control of Birth Defects, Department of Medical Genetics, Newborn Screening Center, Liuzhou Maternity and Child Health Care Hospital, Liuzhou Institute for Reproduction and Genetics, Affiliated Maternity Hospital and Affiliated Children's Hospital of Guangxi University of Science and Technology, Liuzhou, China
| | - Rongni Chang
- Key Laboratory of Prevention and Control of Birth Defects, Department of Medical Genetics, Newborn Screening Center, Liuzhou Maternity and Child Health Care Hospital, Liuzhou Institute for Reproduction and Genetics, Affiliated Maternity Hospital and Affiliated Children's Hospital of Guangxi University of Science and Technology, Liuzhou, China
| | - Lizhen Pan
- Key Laboratory of Prevention and Control of Birth Defects, Department of Medical Genetics, Newborn Screening Center, Liuzhou Maternity and Child Health Care Hospital, Liuzhou Institute for Reproduction and Genetics, Affiliated Maternity Hospital and Affiliated Children's Hospital of Guangxi University of Science and Technology, Liuzhou, China
| | - Jinling Yang
- Key Laboratory of Prevention and Control of Birth Defects, Department of Medical Genetics, Newborn Screening Center, Liuzhou Maternity and Child Health Care Hospital, Liuzhou Institute for Reproduction and Genetics, Affiliated Maternity Hospital and Affiliated Children's Hospital of Guangxi University of Science and Technology, Liuzhou, China
| | - Dejian Yuan
- Key Laboratory of Prevention and Control of Birth Defects, Department of Medical Genetics, Newborn Screening Center, Liuzhou Maternity and Child Health Care Hospital, Liuzhou Institute for Reproduction and Genetics, Affiliated Maternity Hospital and Affiliated Children's Hospital of Guangxi University of Science and Technology, Liuzhou, China
| | - Lihua Huang
- Key Laboratory of Prevention and Control of Birth Defects, Department of Medical Genetics, Newborn Screening Center, Liuzhou Maternity and Child Health Care Hospital, Liuzhou Institute for Reproduction and Genetics, Affiliated Maternity Hospital and Affiliated Children's Hospital of Guangxi University of Science and Technology, Liuzhou, China
| | - Tizhen Yan
- Key Laboratory of Prevention and Control of Birth Defects, Department of Medical Genetics, Newborn Screening Center, Liuzhou Maternity and Child Health Care Hospital, Liuzhou Institute for Reproduction and Genetics, Affiliated Maternity Hospital and Affiliated Children's Hospital of Guangxi University of Science and Technology, Liuzhou, China
| | - Haiping Ning
- Key Laboratory of Prevention and Control of Birth Defects, Department of Medical Genetics, Newborn Screening Center, Liuzhou Maternity and Child Health Care Hospital, Liuzhou Institute for Reproduction and Genetics, Affiliated Maternity Hospital and Affiliated Children's Hospital of Guangxi University of Science and Technology, Liuzhou, China
| | - Jiangyan Wei
- Key Laboratory of Prevention and Control of Birth Defects, Department of Medical Genetics, Newborn Screening Center, Liuzhou Maternity and Child Health Care Hospital, Liuzhou Institute for Reproduction and Genetics, Affiliated Maternity Hospital and Affiliated Children's Hospital of Guangxi University of Science and Technology, Liuzhou, China
| | - Ren Cai
- Key Laboratory of Prevention and Control of Birth Defects, Department of Medical Genetics, Newborn Screening Center, Liuzhou Maternity and Child Health Care Hospital, Liuzhou Institute for Reproduction and Genetics, Affiliated Maternity Hospital and Affiliated Children's Hospital of Guangxi University of Science and Technology, Liuzhou, China
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Alibakhshi R, Mohammadi A, Salari N, Khamooshian S, Kazeminia M, Moradi K. Spectrum of PAH gene mutations in 1547 phenylketonuria patients from Iran: a comprehensive systematic review. Metab Brain Dis 2021; 36:767-780. [PMID: 33625639 DOI: 10.1007/s11011-021-00698-4] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/19/2020] [Accepted: 02/16/2021] [Indexed: 12/12/2022]
Abstract
As one of the highest prevalence rates in the world, the prevalence of Phenylketonuria (PKU) in Iran has been estimated at 16.5 per 100,000 neonates. The objective of this study was to evaluate the spectrum and frequency of mutations of the phenylalanine hydroxylase (PAH) gene in Iranian PKU patients. A systematic review was carried out on previous studies on PAH gene mutations in Iranian PKU patients. A complete search was carried out on the on-line databases of Scopus, Web of Science, PubMed/Medline, ProQuest, Science Direct, Magiran, SID and the search engine Google Scholar. The keywords of Phenylketonuria, PKU, Phenylalanine Hydroxylase, PAH, and Iran, as well as their Persian equivalents, in all possible combinations were used. Finally, a total of 21 eligible articles with a sample size of 1547 Iranian PKU patients, published between 2003 and 2020, were included in our systematic review. A total of 129 different PAH gene mutations including, IVS10-11G > A (c.1066-11G > A) (19.23%), p.R261Q (c.782G > A) (7.63%), p.P281L (c.842C > T) (6.24%), IVS2 + 5G > C (c.168 + 5G > C) (5.75%), p.R243* (c.727C > T) (3.59%), IVS9 + 5G > A (c.969 + 5G > A) (2.84%), p.R176* (c.526C > T) (2.42%), p.Lys363Nfs*37 (c.1089delG) (2.13%), IVS11 + 1G > C (c.1199 + 1G > C) (2.07%) and p.L48S (c.143 T > C) (2.04%) were identified. The spectrum and frequency of mutations observed in Iran were closer to those observed in the Mediterranean countries. Our results are valuable in planning panel-based studies in provinces with incomplete data on PAH gene mutations. This study is a good reference for genetic counselors and physicians who advise couples in making decisions to maintain or terminate a pregnancy.
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Affiliation(s)
- Reza Alibakhshi
- Department of Biochemistry, School of Medicine, Kermanshah University of Medical Sciences, Parastar Street, Kermanshah, Kermanshah Province, Iran
| | - Aboozar Mohammadi
- Student Research Committee, Kermanshah University of Medical Sciences, Kermanshah, Iran
| | - Nader Salari
- Department of Biostatistics, School of Health, Kermanshah University of Medical Sciences, Kermanshah, Iran
| | - Sahand Khamooshian
- Student Research Committee, Kermanshah University of Medical Sciences, Kermanshah, Iran
| | - Mohsen Kazeminia
- Student Research Committee, Kermanshah University of Medical Sciences, Kermanshah, Iran
| | - Keivan Moradi
- Department of Biochemistry, School of Medicine, Kermanshah University of Medical Sciences, Parastar Street, Kermanshah, Kermanshah Province, Iran.
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Costa RD, Galera BB, Rezende BC, Venâncio AC, Galera MF. IDENTIFICATION OF MUTATIONS IN THE PAH GENE IN PKU PATIENTS IN THE STATE OF MATO GROSSO. REVISTA PAULISTA DE PEDIATRIA 2020; 38:e2018351. [PMID: 32074228 PMCID: PMC7025444 DOI: 10.1590/1984-0462/2020/38/2018351] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/06/2018] [Accepted: 04/21/2019] [Indexed: 11/21/2022]
Abstract
Objective: To identify phenylalanine hydroxylase (PAH) mutations in
patients with phenylketonuria (PKU) from the Newborn Screening Service in
Mato Grosso, Midwest Brazil. Methods: This is a cross-sectional descriptive study. The sample consisted of 19 PKU
patients diagnosed by newborn screening. Molecular analysis: DNA extraction
using the “salting-out” method. Detection of IVS10nt-11G>A, V388M, R261Q,
R261X, R252W, and R408W mutations by the restriction fragment length
polymorphism (RFLP) technique. Results: Two mutant alleles were identified in four patients (21.1%), one allele in
five patients (26.2%), and none in the remaining ten patients (52.6%). A
total of 13/38 alleles were detected, corresponding to 34.2% of the
PAH alleles present. The most prevalent variant was
V388M (13.2% of the alleles), followed by R261Q (10.1%) and IVS10nt-11G>A
(7.9%). Three variants (R261X, R252W, and R408W) were not found. The most
frequent mutation types were: missense mutation in eight alleles (18.4%) and
splicing in four alleles (10.5%). The model proposed by Guldberg to
determine a genotype/phenotype correlation was applied to four classical PKU
patients with two identified mutations. In three of them, the predicted
moderate/moderate or moderate PKU phenotype did not coincide with the actual
diagnosis. The prediction coincided with the diagnosis of one classic PKU
patient. The estimated incidence of PKU for Mato Grosso, Brazil, was
1:33,342 live births from 2003 to 2015. Conclusion: The only mutations found in the analyzed samples were the IVS10nt-11G>A,
V388M, and R261Q. The genotype/phenotype correlation only occurred in four
(5.3%) patients.
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Wang T, Ma J, Zhang Q, Gao A, Wang Q, Li H, Xiang J, Wang B. Expanded Newborn Screening for Inborn Errors of Metabolism by Tandem Mass Spectrometry in Suzhou, China: Disease Spectrum, Prevalence, Genetic Characteristics in a Chinese Population. Front Genet 2019; 10:1052. [PMID: 31737040 PMCID: PMC6828960 DOI: 10.3389/fgene.2019.01052] [Citation(s) in RCA: 64] [Impact Index Per Article: 10.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2019] [Accepted: 10/01/2019] [Indexed: 12/30/2022] Open
Abstract
Expanded newborn screening for inborn errors of metabolism (IEMs) by tandem mass spectrometry (MS/MS) could simultaneously analyze more than 40 metabolites and identify about 50 kinds of IEMs. Next generation sequencing (NGS) targeting hundreds of IMEs-associated genes as a follow-up test in expanded newborn screening has been used for genetic analysis of patients. The spectrum, prevalence, and genetic characteristic of IEMs vary dramatically in different populations. To determine the spectrum, prevalence, and gene mutations of IEMs in newborns in Suzhou, China, 401,660 newborns were screened by MS/MS and 138 patients were referred to genetic analysis by NGS. The spectrum of 22 IEMs were observed in Suzhou population of newborns, and the overall incidence (excluding short chain acyl-CoA dehydrogenase deficiency (SCADD) and 3-Methylcrotonyl-CoA carboxylase deficiency (3-MCCD)) was 1/3,163. The prevalence of each IEM ranged from 1/401,660 to 1/19,128, while phenylketonuria (PKU) (1/19,128) and Mild hyperphenylalaninemia (M-HPA) (1/19,128) were the most common IEMs, followed by primary carnitine uptake defect (PCUD) (1/26,777), SCADD (1/28,690), hypermethioninemia (H-MET) (1/30,893), 3-MCCD (1/33,412) and methylmalonic acidemia (MMA) (1/40,166). Moreover, 89 reported mutations and 51 novel mutations in 25 IMEs-associated genes were detected in 138 patients with one of 22 IEMs. Some hotspot mutations were observed for ten IEMs, including PAH gene c.728G > A, c.611A > G, and c.721C > T for Phenylketonuria, PAH gene c.158G > A, c.1238G > C, c.728G > A, and c.1315+6T > A for M-HPA, SLC22A5 gene c.1400C > G, c.51C > G, and c.760C > T for PCUD, ACADS gene c.1031A > G, c.164C > T, and c.1130C > T for SCAD deficiency, MAT1A gene c.791G > A for H-MET, MCCC1 gene c.639+2T > A and c.863A > G for 3-MCCD, MMUT gene c.1663G > A for MMA, SLC25A13 gene c.IVS16ins3Kb and c.852_855delTATG for cittrullinemia II, PTS gene c.259C > T and c.166G > A for Tetrahydrobiopterin deficiency, and ACAD8 gene c.1000C > T and c.286C > A for Isobutyryl coa dehydrogenase deficiency. All these hotspot mutations were reported to be pathogenic or likely pathogenic, except a novel mutation of ACAD8 gene c.286C > A. These mutational hotspots could be potential candidates for gene screening and these novel mutations expanded the mutational spectrum of IEMs. Therefore, our findings could be of value for genetic counseling and genetic diagnosis of IEMs.
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Affiliation(s)
- Ting Wang
- Newborn Screening Laboratory, Center for Reproduction and Genetics, the Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou, China
| | - Jun Ma
- Newborn Screening Laboratory, Center for Reproduction and Genetics, the Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou, China
| | - Qin Zhang
- Genetic Clinic, Center for Reproduction and Genetics, the Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou, China
| | - Ang Gao
- Genetic Clinic, Center for Reproduction and Genetics, the Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou, China
| | - Qi Wang
- Newborn Screening Laboratory, Center for Reproduction and Genetics, the Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou, China
| | - Hong Li
- Infertility Clinic, Center for Reproduction and Genetics, the Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou, China
| | - Jingjing Xiang
- Genetic Laboratory, Center for Reproduction and Genetics, the Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou, China
| | - Benjing Wang
- Newborn Screening Laboratory, Center for Reproduction and Genetics, the Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou, China
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