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Tang C, Li L, Chen T, Li Y, Zhu B, Zhang Y, Yin Y, Liu X, Huang C, Miao J, Zhu B, Wang X, Zou H, Han L, Feng J, Huang Y. Newborn Screening for Inborn Errors of Metabolism by Next-Generation Sequencing Combined with Tandem Mass Spectrometry. Int J Neonatal Screen 2024; 10:28. [PMID: 38651393 PMCID: PMC11036227 DOI: 10.3390/ijns10020028] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/29/2024] [Revised: 03/12/2024] [Accepted: 03/27/2024] [Indexed: 04/25/2024] Open
Abstract
The aim of this study was to observe the outcomes of newborn screening (NBS) in a certain population by using next-generation sequencing (NGS) as a first-tier screening test combined with tandem mass spectrometry (MS/MS). We performed a multicenter study of 29,601 newborns from eight screening centers with NBS via NGS combined with MS/MS. A custom-designed panel targeting the coding region of the 142 genes of 128 inborn errors of metabolism (IEMs) was applied as a first-tier screening test, and expanded NBS using MS/MS was executed simultaneously. In total, 52 genes associated with the 38 IEMs screened by MS/MS were analyzed. The NBS performance of these two methods was analyzed and compared respectively. A total of 23 IEMs were diagnosed via NGS combined with MS/MS. The incidence of IEMs was approximately 1 in 1287. Within separate statistical analyses, the positive predictive value (PPV) for MS/MS was 5.29%, and the sensitivity was 91.3%. However, for genetic screening alone, the PPV for NGS was 70.83%, with 73.91% sensitivity. The three most common IEMs were methylmalonic academia (MMA), primary carnitine deficiency (PCD) and phenylketonuria (PKU). The five genes with the most common carrier frequencies were PAH (1:42), PRODH (1:51), MMACHC (1:52), SLC25A13 (1:55) and SLC22A5 (1:63). Our study showed that NBS combined with NGS and MS/MS improves the performance of screening methods, optimizes the process, and provides accurate diagnoses.
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Affiliation(s)
- Chengfang Tang
- Department of Guangzhou Newborn Screening Center, Guangzhou Women and Children’s Medical Center, Guangzhou Medical University, Guangdong Provincial Clinical Research Center for Child Health, Guangzhou 510180, China;
| | - Lixin Li
- Department of Genetic, Shijiazhuang Maternal and Child Health Hospital, Shijiazhuang 050090, China;
| | - Ting Chen
- Department of Pediatric Endocrinology and Genetic Metabolism, Shanghai Institute for Pediatric Research, Xinhua Hospital, Shanghai Jiaotong University School of Medicine, Shanghai 200092, China;
| | - Yulin Li
- Neonatal Disease Screening Center, Jinan Maternity and Child Health Hospital Affiliated to Shandong First Medical University, Jinan 250001, China; (Y.L.); (H.Z.)
| | - Bo Zhu
- Department of Genetics, Inner Mongolia Maternity and Child Health Care Hospital, Hohhot 750306, China; (B.Z.); (X.W.)
| | - Yinhong Zhang
- Department of Medical Genetics, NHC Key Laboratory of Preconception Health Birth in Western China, Yunnan Provincial Key Laboratory for Birth Defects and Genetic Diseases, Yunnan Provincial Clinical Research Center for Birth Defects and Rare Diseases, The First People’s Hospital of Yunnan Province/The Affiliated Hospital of Kunming University of Science and Technology, Kunming 650032, China; (Y.Z.); (B.Z.)
| | - Yifan Yin
- Department of Pediatrics, Chongqing Health Center for Women and Children &Women and Children’s Hospital of Chongqing Medical University, Chongqing 401147, China; (Y.Y.); (J.M.)
| | - Xiulian Liu
- Neonatal Disease Screening Center, Hainan Women and Children’s Medical Center, Haikou 570206, China; (X.L.); (C.H.)
| | - Cidan Huang
- Neonatal Disease Screening Center, Hainan Women and Children’s Medical Center, Haikou 570206, China; (X.L.); (C.H.)
| | - Jingkun Miao
- Department of Pediatrics, Chongqing Health Center for Women and Children &Women and Children’s Hospital of Chongqing Medical University, Chongqing 401147, China; (Y.Y.); (J.M.)
| | - Baosheng Zhu
- Department of Medical Genetics, NHC Key Laboratory of Preconception Health Birth in Western China, Yunnan Provincial Key Laboratory for Birth Defects and Genetic Diseases, Yunnan Provincial Clinical Research Center for Birth Defects and Rare Diseases, The First People’s Hospital of Yunnan Province/The Affiliated Hospital of Kunming University of Science and Technology, Kunming 650032, China; (Y.Z.); (B.Z.)
| | - Xiaohua Wang
- Department of Genetics, Inner Mongolia Maternity and Child Health Care Hospital, Hohhot 750306, China; (B.Z.); (X.W.)
| | - Hui Zou
- Neonatal Disease Screening Center, Jinan Maternity and Child Health Hospital Affiliated to Shandong First Medical University, Jinan 250001, China; (Y.L.); (H.Z.)
| | - Lianshu Han
- Department of Pediatric Endocrinology and Genetic Metabolism, Shanghai Institute for Pediatric Research, Xinhua Hospital, Shanghai Jiaotong University School of Medicine, Shanghai 200092, China;
| | - Jizhen Feng
- Department of Genetic, Shijiazhuang Maternal and Child Health Hospital, Shijiazhuang 050090, China;
| | - Yonglan Huang
- Department of Guangzhou Newborn Screening Center, Guangzhou Women and Children’s Medical Center, Guangzhou Medical University, Guangdong Provincial Clinical Research Center for Child Health, Guangzhou 510180, China;
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Zhao M, Ran X, Xing D, Liu W, Ma Z, Liao Y, Zhang Q, Bai Y, Liu L, Chen K, Wu M, Gao J, Zhang H, Zhao T. Population genetics of Aedes albopictus in the port cities of Hainan Island and Leizhou Peninsula, China. INFECTION, GENETICS AND EVOLUTION : JOURNAL OF MOLECULAR EPIDEMIOLOGY AND EVOLUTIONARY GENETICS IN INFECTIOUS DISEASES 2024; 117:105539. [PMID: 38104852 DOI: 10.1016/j.meegid.2023.105539] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/30/2023] [Revised: 12/06/2023] [Accepted: 12/12/2023] [Indexed: 12/19/2023]
Abstract
BACKGROUND Aedes albopictus is an important vector of arboviral diseases, transmitting yellow fever, dengue fever, chikungunya and Zika. Monitoring its population genetic diversity and genetic differentiation has become essential for the control of infectious disease epidemics, especially in the functional areas of ports of entry. Population genetic monitoring of Ae. albopictus in the port area can help in the monitoring of port mosquito invasions and establishing port sanitary and quarantine measures to prevent the introduction and transmission of vector-borne diseases. METHODS Seventeen populations of Ae. albopictus were collected from five port cities on Hainan Island and the Leizhou Peninsula, 8 populations were collected from port areas, 4 from urban areas and 5 from rural areas. Nine microsatellite loci and the mitochondrial COI gene were used to study the population genetic diversity, population genetic structure and interpopulation gene flow of Ae. albopictus. RESULTS The nine microsatellite loci used were highly polymorphic, with an average PIC value of 0.768. The UPGMA genetic tree, STRUCTURE barplot and PCoA analyses showed that the 17 Ae. albopictus populations could be divided into three genetic groups. All 17 populations showed high haplotype diversity (Hd = 0.8069-0.9678) and formed 133 distinct haplotypes. These haplotypes can be divided into four genetic clades, but they are not associated with the geographical distribution of Ae. albopictus. Fst and Nm showed strong gene flow and little differentiation among populations. CONCLUSION Ae. albopictus in port areas are not significantly different from urban and rural populations due to strong gene flow, which prevents differentiation and increases the genetic diversity of the populations. High genetic diversity facilitates mosquito adaptation to complex environmental changes, which is a challenge for vector-borne disease control in port areas.
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Affiliation(s)
- Minghui Zhao
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing 100071, China; Jiangxi International Travel Healthcare Center, Nanchang 330002, China
| | - Xin Ran
- Jiangxi Provincial Center for Disease Control and Prevention, Nanchang 330002, China
| | - Dan Xing
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing 100071, China
| | - Wei Liu
- Jiangxi International Travel Healthcare Center, Nanchang 330002, China
| | - Zu Ma
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing 100071, China
| | - Yun Liao
- Jiangxi International Travel Healthcare Center, Nanchang 330002, China
| | - Qiang Zhang
- Jiangxi International Travel Healthcare Center, Nanchang 330002, China
| | - Yu Bai
- Jiangxi International Travel Healthcare Center, Nanchang 330002, China
| | - Lan Liu
- Jiangxi International Travel Healthcare Center, Nanchang 330002, China
| | - Kan Chen
- Jiangxi International Travel Healthcare Center, Nanchang 330002, China
| | - Mingyu Wu
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing 100071, China
| | - Jian Gao
- Jiangsu Provincial Center for Disease Control and Prevention, Nanjing 210000, China
| | - Hengduan Zhang
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing 100071, China.
| | - Tongyan Zhao
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing 100071, China.
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Iyavoo S, Perry J, Knights S, Mavrommatis M, Petrova T, Bevan A, Cummings S, Pedroza Matute S, Song D, Haizel T. Unveiling genetic diversity and forensic utility of SureID® human DNA identification kits: a comprehensive analysis of 44 autosomal STR loci in English and Irish populations. Ann Hum Biol 2023; 50:399-406. [PMID: 37815229 DOI: 10.1080/03014460.2023.2265814] [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: 03/14/2023] [Accepted: 09/21/2023] [Indexed: 10/11/2023]
Abstract
Background: Human identification and kinship testing in forensic science rely on Short Tandem Repeat (STR) multiplex kits, typically containing loci recommended by standard sets. However, complementary kits with additional STR loci can be valuable in complex cases. Allele frequency databases specific to the population are essential for accurate forensic analysis.Aim: This study aimed to generate allele frequencies and population genetic data for 44 autosomal STR loci from SureID® PanGlobal and 27comp kits in English and Irish populations for forensic casework, human identification, and kinship testing.Subjects and methods: Buccal swab samples from 645 White Caucasians (365 English, 280 Irish) were collected. DNA was extracted and amplified using the mentioned kits. Quality control, statistical analysis, and genetic distance calculations were performed.Results: Both kits demonstrated robustness with no significant deviations from Hardy-Weinberg Equilibrium (HWE). Variant alleles and minor discordances between kits were observed. Syntenic STR pairs were identified but showed no significant linkage. A close genetic relationship was found between English and Irish populations, allowing for combined databases.Conclusions: The SureID® PanGlobal and 27comp kits showed high discriminatory power and reliability in the English and Irish populations. Care is needed when handling variant alleles, discordances, and syntenic loci. Combining data from both populations is feasible for a comprehensive database. Further studies are required to explore their effectiveness in diverse populations.
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Affiliation(s)
- Sasitaran Iyavoo
- IDna Genetics Limited, Norfolk, UK
- School of Chemistry, College of Health and Science, University of Lincoln, Lincolnshire, UK
| | - Jessica Perry
- School of Chemistry, College of Health and Science, University of Lincoln, Lincolnshire, UK
| | | | | | | | | | | | | | - Danlu Song
- Ningbo Health Gene Technologies Co. Ltd, Ningbo, China
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Wen D, Xing H, Liu Y, Li J, Qu W, He W, Wang C, Xu R, Liu Y, Jia H, Zha L. The application of short and highly polymorphic microhaplotype loci in paternity testing and sibling testing of temperature-dependent degraded samples. Front Genet 2022; 13:983811. [PMID: 36226179 PMCID: PMC9549137 DOI: 10.3389/fgene.2022.983811] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2022] [Accepted: 09/07/2022] [Indexed: 11/13/2022] Open
Abstract
Paternity testing and sibling testing become more complex and difficult when samples degrade. But the commonly used genetic markers (STR and SNP) cannot completely solve this problem due to some disadvantages. The novel genetic marker microhaplotype proposed by Kidd’s research group combines the advantages of STR and SNP and is expected to become a promising genetic marker for kinship testing in degraded samples. Therefore, in this study, we intended to select an appropriate number of highly polymorphic SNP-based microhaplotype loci, detect them by the next-generation sequencing technology, analyze their ability to detect degraded samples, calculate their forensic parameters based on the collected 96 unrelated individuals, and evaluate their effectiveness in paternity testing and sibling testing by simulating kinship relationship pairs, which were also compared to 15 STR loci. Finally, a short and highly polymorphic microhaplotype panel was developed, containing 36 highly polymorphic SNP-based microhaplotype loci with lengths smaller than 100 bp and Ae greater than 3.00, of which 29 microhaplotype loci could not reject the Hardy-Weinberg equilibrium and linkage equilibrium after the Bonferroni correction. The CPD and CPE of these 29 microhaplotype loci were 1-2.96E-26 and 1-5.45E-09, respectively. No allele dropout was observed in degraded samples incubated with 100°C hot water for 40min and 60min. According to the simulated kinship analysis, the effectiveness at the threshold of 4/−4 reached 98.39% for relationship parent-child vs. unrelated individuals, and the effectiveness at the threshold of 2/−2 for relationship full-sibling vs. unrelated individuals was 93.01%, which was greater than that of 15 STR loci (86.75% for relationship parent-child vs. unrelated individuals and 81.73% for relationship full-sibling vs. unrelated individuals). After combining our 29 microhaplotype loci with other 50 short and highly polymorphic microhaplotype loci, the effectiveness values at the threshold of 2/−2 were 82.42% and 90.89% for relationship half-sibling vs. unrelated individuals and full-sibling vs. half-sibling. The short and highly polymorphic microhaplotype panel we developed may be very useful for paternity testing and full sibling testing in degraded samples, and in combination with short and highly polymorphic microhaplotype loci reported by other researchers, may be helpful to analyze more distant kinship relationships.
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Affiliation(s)
- Dan Wen
- Department of Forensic Medicine, School of Basic Medical Sciences, Central South University, Changsha, China
| | - Hao Xing
- Department of Forensic Medicine, School of Basic Medical Sciences, Central South University, Changsha, China
| | - Ying Liu
- Xiangya Stomatological Collage, Central South University, Changsha, China
| | - Jienan Li
- Department of Forensic Medicine, School of Basic Medical Sciences, Central South University, Changsha, China
| | - Weifeng Qu
- Department of Forensic Medicine, School of Basic Medical Sciences, Central South University, Changsha, China
| | - Wei He
- Department of Forensic Medicine, School of Basic Medical Sciences, Central South University, Changsha, China
| | - Chudong Wang
- Department of Forensic Medicine, School of Basic Medical Sciences, Central South University, Changsha, China
| | - Ruyi Xu
- Department of Forensic Medicine, School of Basic Medical Sciences, Central South University, Changsha, China
| | - Yi Liu
- Department of Forensic Medicine, School of Basic Medical Sciences, Central South University, Changsha, China
| | - Hongtao Jia
- Department of Forensic Medicine, School of Basic Medical Sciences, Central South University, Changsha, China
| | - Lagabaiyila Zha
- Department of Forensic Medicine, School of Basic Medical Sciences, Central South University, Changsha, China
- *Correspondence: Lagabaiyila Zha,
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Qi H, Sun X, Yan W, Ye H, Chen J, Yu J, Jun D, Wang C, Xia T, Chen X, Li D, Zheng D. Genetic relationships and low diversity among the tea-oil Camellia species in Sect . Oleifera, a bulk woody oil crop in China. FRONTIERS IN PLANT SCIENCE 2020; 13:996731. [PMID: 36247558 PMCID: PMC9563498 DOI: 10.3389/fpls.2022.996731] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/18/2022] [Accepted: 08/24/2022] [Indexed: 06/16/2023]
Abstract
Tea-oil Camellia is one of the four woody oil crops in the world and has high ecological, economic and medicinal values. However, there are great differences in the classification and merging of tea-oil Camellia Sect. Oleifera species, which brings difficulties to the innovative utilization and production of tea-oil Camellia resources. Here, ISSR, SRAP and chloroplast sequence markers were analyzed in 18 populations of tea-oil Camellia Sect. Oleifera species to explore their phylogenetic relationships and genetic diversity. The results showed that their genetic diversity were low, with mean H and π values of 0.16 and 0.00140, respectively. There was high among-population genetic differentiation, with ISSR and SRAP markers showing an Fst of 0.38 and a high Nm of 1.77 and cpDNA markers showing an Fst of 0.65 and a low Nm of 0.27. The C. gauchowensis, C. vietnamensis and Hainan Island populations formed a single group, showing the closest relationships, and supported being the same species for them with the unifying name C. drupifera and classifying the resources on Hainan Island as C. drupifera. The tea-oil Camellia resources of Hainan Island should be classified as a special ecological type or variety of C. drupifera. However, cpDNA marker-based STRUCTURE analysis showed that the genetic components of the C. osmantha population formed an independent, homozygous cluster; hence, C. osmantha should be a new species in Sect. Oleifera. The C. oleifera var. monosperma and C. oleifera populations clustered into two distinct clades, and the C. oleifera var. monosperma populations formed an independent cluster, accounting for more than 99.00% of its genetic composition; however, the C. oleifera populations contained multiple different cluster components, indicating that C. oleifera var. monosperma significantly differs from C. oleifera and should be considered the independent species C. meiocarpa. Haplotype analysis revealed no rapid expansion in the tested populations, and the haplotypes of C. oleifera, C. meiocarpa and C. osmantha evolved from those of C. drupifera. Our results support the phylogenetic classification of Camellia subgenera, which is highly significant for breeding and production in tea-oil Camellia.
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Affiliation(s)
- Huasha Qi
- Hainan, Academy of Agricultural Sciences, Sanya Institute, Sanya, China
- Key Laboratory of Tropic Special Economic Plant Innovation and Utilization, National Germplasm Resource Chengmai Observation and Experiment Station, Institute of Tropical Horticulture Research, Hainan Academy of Agricultural Sciences, Haikou, China
| | - Xiuxiu Sun
- Hainan, Academy of Agricultural Sciences, Sanya Institute, Sanya, China
- Key Laboratory of Tropic Special Economic Plant Innovation and Utilization, National Germplasm Resource Chengmai Observation and Experiment Station, Institute of Tropical Horticulture Research, Hainan Academy of Agricultural Sciences, Haikou, China
| | - Wuping Yan
- Hainan, Academy of Agricultural Sciences, Sanya Institute, Sanya, China
- School of Agricultural Sciences, Jiangxi Agricultural University, Nanchang, China
| | - Hang Ye
- Guangxi Key Laboratory of Special Non-Wood Forest Cultivation and Utilization, Improved Variety and Cultivation Engineering Research Center of Oil-Tea Camellia in Guangxi, Guangxi Forestry Research Institute, Nanning, China
| | - Jiali Chen
- Hainan, Academy of Agricultural Sciences, Sanya Institute, Sanya, China
- Key Laboratory of Tropic Special Economic Plant Innovation and Utilization, National Germplasm Resource Chengmai Observation and Experiment Station, Institute of Tropical Horticulture Research, Hainan Academy of Agricultural Sciences, Haikou, China
| | - Jing Yu
- College of Horticulture, Hainan University, Haikou, China
| | - Dai Jun
- Qionghai Tropical Crop Service Center, Qionghai, China
| | - Chunmei Wang
- Hainan, Academy of Agricultural Sciences, Sanya Institute, Sanya, China
- Key Laboratory of Tropic Special Economic Plant Innovation and Utilization, National Germplasm Resource Chengmai Observation and Experiment Station, Institute of Tropical Horticulture Research, Hainan Academy of Agricultural Sciences, Haikou, China
| | - Tengfei Xia
- Hainan, Academy of Agricultural Sciences, Sanya Institute, Sanya, China
- Key Laboratory of Tropic Special Economic Plant Innovation and Utilization, National Germplasm Resource Chengmai Observation and Experiment Station, Institute of Tropical Horticulture Research, Hainan Academy of Agricultural Sciences, Haikou, China
| | - Xuan Chen
- Hainan, Academy of Agricultural Sciences, Sanya Institute, Sanya, China
- Key Laboratory of Tropic Special Economic Plant Innovation and Utilization, National Germplasm Resource Chengmai Observation and Experiment Station, Institute of Tropical Horticulture Research, Hainan Academy of Agricultural Sciences, Haikou, China
| | - Dongliang Li
- Hainan, Academy of Agricultural Sciences, Sanya Institute, Sanya, China
- Key Laboratory of Tropic Special Economic Plant Innovation and Utilization, National Germplasm Resource Chengmai Observation and Experiment Station, Institute of Tropical Horticulture Research, Hainan Academy of Agricultural Sciences, Haikou, China
| | - Daojun Zheng
- Hainan, Academy of Agricultural Sciences, Sanya Institute, Sanya, China
- Key Laboratory of Tropic Special Economic Plant Innovation and Utilization, National Germplasm Resource Chengmai Observation and Experiment Station, Institute of Tropical Horticulture Research, Hainan Academy of Agricultural Sciences, Haikou, China
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