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Italian Journal of Pediatrics logoLink to Italian Journal of Pediatrics
. 2022 Dec 30;48:207. doi: 10.1186/s13052-022-01397-1

Copy number variation analysis in 189 Romanian patients with global developmental delay/intellectual disability

Diana Miclea 1,2,, Sergiu Osan 1, Simona Bucerzan 2,3, Delia Stefan 1, Radu Popp 1, Monica Mager 2,4, Maria Puiu 5, Cristian Zimbru 6, Adela Chirita-Emandi 5, Camelia Alkhzouz 2,3
PMCID: PMC9801529  PMID: 36585697

Abstract

Background

Developmental delay and intellectual disability represent a common pathology in general population, involving about 3% of the pediatric age population, the genetic etiology being often involved. The aim of this study was to determine the clinically relevant copy number variants in patients diagnosed with global developmental delay/intellectual disability in our population, using the chromosomal microarray analysis.

Methods

We analyzed 189 patients diagnosed with global developmental delay/intellectual disability, presented in Clinical Emergency Hospital for Children, Cluj-Napoca. The patients were completely clinically investigated, including dysmorphic and internal malformations evaluation, psychiatric, neuropsychological and metabolic evaluation, standard karyotyping. Genomic analysis was done using chromosomal microarray analysis.

Results

Pathogenic findings (including uniparental disomy) and variants of unknown significance were detected in 53 of 189 patients (28.04%). Pathogenic copy number variants and uniparental disomy were observed in 35 of 189 patients (18.51%). Two patients presented uniparental disomy for chromosome 15, one with clinical phenotype of Prader-Willi syndrome and the other with clinical phenotype with Angelman syndrome. Within the category of pathogenic findings, the recurrent copy number variants were seen in 21 of 35 patients (60%).

Conclusions

The increased percentage of pathogenic structural variants observed in patients with global developmental delay/intellectual disability analyzed by chromosomal microarray technique supports its use in patients with a non-specific phenotype such as these neurodevelopmental disorders. The high percentage of recurrent pathogenic variants between these findings is a finding that support their initial evaluation when a genetic testing algorithm could be a useful option.

Keywords: Global developmental delay, Intellectual disability, Chromosomal microarray analysis, Copy number variants, Etiology

Background

Developmental delay and intellectual disability represent a common pathology, affecting 1–3% of children, the etiology being represented by genetic factors in more than a half of these patients [13]. Global developmental delay (GDD) is a diagnosis reserved for a child under five years, being defined as a significant delay, under two standard deviations (SD), in two or more developmental domains (gross or fine motor abilities, speech/language, cognition, social/personal and activities of daily living) [4]. Intellectual disability (ID) is a diagnosis established beginning with the age of five years, when the following three criteria are met simultaneously: defective intellectual function (usually measured by intellectual coefficient), defective adaptative function (conceptual, social, or practical skills) and onset of these deficits during the developmental period [5]. Not all the patients with GDD diagnosis will fulfill the criteria for ID diagnosis after the age of five years.

With advanced genomic technologies, as chromosomal microarray analysis (CMA) and exome/genome sequencing, the genetic etiology in GDD/ID is now identified in more than 50% of these patients [3, 5].

The G-bands karyotype identified numerical or structural chromosomal abnormalities in approximately 5% of GDD/ID patients (in some studies, up to 15% of cases) [58], 21 trisomy being the most frequently seen (in about 70% of these patients) [6, 8]. Recurrent microdeletions/microduplications (mainly involving 22q11.2, 7q11.23, 17p11.2, 15q11–13, 16p11.2, 1q21.1 and other regions) are observed in about 5% of cases, usually being identified by Fluorescent In Situ Hybridization (FISH), Multiplex Ligation-dependent Probe Amplification (MLPA) or quantitative Polymerase Chain Reaction (qPCR) techniques [8, 9]. A first-tier test in genetic investigations in GDD/ID is now represented by CMA, due to an important diagnostic yield, of 15–25% in patients with GDD/ID [1013], preferred over G-bands karyotype, FISH, MLPA or qPCR techniques, due to a higher sensitivity and better genomic resolution for copy number variants (CNVs) detection [10].

Pathogenic single nucleotide variants (SNVs) or indels variants, in monogenic or oligogenic disorders, are identified by exome/genome sequencing in 15–30% of GDD/ID patients, tests usually performed after a negative CMA analysis [10, 1215].

The other unexplained causes in GDD/ID patients could be related to environmental teratogens (including the fetal alcohol exposure, valproate exposure or infections), perinatal factors (prematurity, asphyxia, or other neonatal complications) or postnatal causes (as CNS infections, traumatisms, toxic, psychosocial environment).

The aim of this study was to determine the clinically relevant CNVs in Romanian children diagnosed with GDD/ID, using Single Nucleotide Polymorphism (SNP) array technology.

Methods

We analyzed 189 patients diagnosed with GDD/ID, presented in Clinical Emergency Hospital for Children Cluj-Napoca, between January 1st 2015 and July 1st 2017. The age of the patients was between 1 and 18 years. The inclusion criteria was the diagnosis of GDD or ID. An exclusion criteria was the presence of 21 trisomy confirmed by karyotype. GDD/ID diagnosis was based on the intelligence quotient evaluated by Wechsler Intelligence Scale for Children test (WISC-IV) and development quotient (for children younger than 6 years), evaluated by Portage test and A Developmental NEuroPSYchological Assessment test (NEPSY). The patients were completely clinically investigated, including dysmorphological evaluation, internal malformations evaluation, psychiatric and neuropsychological examinations, metabolic evaluation, standard karyotyping. Brain imaging and electroencephalogram (EEG) were indicated by the neurologist. Other investigations was performed depending on clinical indication of each patient.

The research was approved by Ethics Committee of Clinical Emergency Hospital for Children, Cluj-Napoca. Written informed consent was obtained from the parents of all the participants in the study.

High density SNP array analysis

The deoxyribonucleic acid (DNA) was purified by Wizard® Genomic DNA Purification Kit (Promega, Madison, WI, USA), using 3 ml peripheral blood, sample collected for each patient. Then, a SNP array analysis was done using Infinium OmniExpress-24 BeadChip array kit (Illumina, San Diego, CA, USA) and the platform iScan System (Illumina, San Diego, CA, USA). The SNP array kit allowed the analysis of about 700,000 markers. For bioinformatic analysis it was use the Genome Studio software version 2.0 (Illumina, San Diego, CA, USA). The interpretation of each CNV was done using the recommendations of American College of Medical Genetics [16, 17].

Results

The study group included 189 patients, 91 girls (48.14%) and 98 boys (51.85%), with an age between three and 18 years (Table 1). The average age was 11.17 years and 28 of 189 patients (14.81%) were five years old and under the age of five years (with the GDD diagnosis), the others 161 patients (85.19%) were older (with ID diagnosis). Pathogenic findings (including pathogenic CNVs and uniparental disomy - UPD) and variants of unknown significance (VOUS) were detected in 53 of 189 patients (28.04%). Pathogenic CNVs and UPD were observed in 35 of 189 patients (18.51%). Clinical characteristics are described in Table 1.

Table 1.

Clinical characteristics in patients with GDD/ID

Clinical features n (%)
Gender 189 patients
 Male 98 (51%)
 Female 91 (48%)
Age 189 patients
  < or = 5 years 28 (14%)
  > 5 years 161 (85%)
CNVs 189 patients
 Pathogenic 33 (17.4%)
 Uniparental disomy 2 (1%)
 VOUS 18 (9.5%)
Clinical features in patients with pathogenic CNVs 33 patients
 Dysmorphic features 27 (81%)
 Short stature 2 (6%)
 Obesity 6 (18%)
 GDD/ID 33 (100%)
 Microcephaly 1 (3%)
 Epilepsy 4 (12%)
 Autism spectrum disorders 1 (3%)
 Hypotonia 1 (3%)
 Language delay 3 (9%)
 Associated internal malformation 7 (21%)

The pathogenic CNVs detected in our patients are described in Table 2. Two patients presented UPD for chromosome 15, one with clinical phenotype of Prader-Willi syndrome and the other with clinical phenotype of Angelman syndrome (patients 76 and 78). Among pathogenic CNVs, 22 patients (66.7%) presented deletions and 11 patients (33.3%) had duplications.

Table 2.

Pathogenic CNVs observed in our GDD/ID patients

Patient CNV (del/dup) Chr Start (hg19) Stop (hg19) Size (Kb) Known Genetic Syndrome Patient phenotype
1 Del 17q12 34,856,055 36,248,918 1392 17q12 deletion syndrome GDD/ID, dysmorphic features, ataxia
3 Dup Xq27.1-q27.3 139,283,418 146,699,586 7416 SOX3 deletion GDD/ID
22q11.1-q11.21 17,397,498 18,984,519 1587 Cat Eye syndrome
5 Dup 1q41-q44 219,786,897 249,212,668 29,425 1q41–44 duplication GDD/ID, dysmorphic signs
6 Dup 16p13.13-p13.2 8,226,775 12,071,213 3844 16p13.2 deletion syndrome GDD/ID, ASD, epilepsy, obesity
45 Del 14q32.2 99,448,000 100,800,103 1352 14q32 deletion syndrome GDD/ID, short stature, dysmorphic features
55 Del 5q35.2-5q35.3 175,346,223 177,484,097 2137 Sotos syndrome Sotos syndrome, GDD/ID, dysmorphic features, language delay, obesity, CNS and renal malformation
59 Del 1q21.2–21.2 146,501,348 147,911,246 1409 1q21.1 deletion syndrome GDD/ID, dysmorphic features
61 Dup 16p11.2 28,615,243 29,028,905 413 16p11.2 duplication syndrome GDD/ID, dysmorphic features
62 Dup 18p11.32–11.21 112,535 14,791,236 18,678 18p Deletion syndrome GDD/ID, dysmorphic features
66 Dup 17p11.2 16,777,177 20,239,827 3462 Potocki-Lupski syndrome GDD/ID, dysmorphic features, obesity
67 Del 22q11.21 18,886,915 21,462,353 2575 DiGeorge syndrome GDD/ID, obesity, dysmorphic features
71 Del 6q15q21 91,305,608 111,699,368 20,393 6q syndrome deletion GDD/ID, dysmorphic features
90 Del 4p16.1-p16.3 71,566 8,357,645 8286 4p deletion syndrome Wolf-Hirschhorn syndrome
91 Del 16p11.2 29,595,483 30,187,676 592 16p11.2 deletion syndrome GDD/ID, language delay, dysmorphic syndrome, obesity
106 Del 9p24.3-p13.1 46,587 39,179,289 39,132 9p deletion syndrome GDD/ID, dysmorphic syndrome
109 Dup 16p24.3 89,542,695 89,656,251 113 16q24.3 deletion syndrome GDD/ID, dysmorphic features
117 Del 18p11.32–11.31 13,034 4,390,081 4377 18p Deletion syndrome GDD/ID, dysmorphic features
118 Del 15q11.2-q31.1 23,656,946 28,535,266 4878 Prader-Willi syndrome GDD, hypotonia
130 Del 15q11.2-q31.1 23,656,946 28,535,266 4878 Prader-Willi Syndrome GDD/ID, obesity
136 Del 1p36.33-1p36.32 82,154 3,821,782 3739 1p36 deletion syndrome GDD/ID, dysmorphic syndrome
149 Dup 16p11.2 29,595,483 30,215,621 620 16p11.2 duplication syndrome GDD/ID, short stature, deafness
150 Del 7q11.23 73,110,603 73,702,525 592 Williams syndrome GDD/ID, dysmorphic syndrome
151 Del Xp22.31 6,456,940 8,135,053 1678 Xp22.3 microdeletion syndrome GDD/ID, dysmorphic syndrome
153 Del 7p15.3p21.1 18,814,931 23,539,546 4726 Partial monosomy 7p GDD/ID, dysmorphic syndrome
154 Del 17q21.31 44,163,925 44,177,103 13 17q21.31 deletion syndrome (KANSL1 – exon 3) GDD/ID, dysmorphic features, cardiac and genitourinary malformation
156 Dup 16p12.2-p11.2 21,610,804 30,198,151 8587 16p11.2–p12.2 duplication syndrome GDD/ID, dysmorphic features
157 Dup 18p11.21–11.32 13,034 15,375,878 15,362 18p Deletion syndrome GDD/ID, epilepsy
160 Del 16p11.2 28,593,316 28,995,057 401 16p11.2 deletion syndrome GDD/ID, dysmorphic features
161 Del 22q11.21 18,889,490 21,797,812 2908 DiGeorge syndrome GDD/ID, dysmorphic features, cardiac and renal malformation
165 Del 1q21.1 145,394,955 145,755,813 360 1q21.1 deletion syndrome GDD/ID, epilepsy, dysmorphic features, forearm agenesis
166 Del 4q22.2-4q24 94,543,233 107,486,817 12,943 4q deletion syndrome GDD/ID, dysmorphic syndrome, language delay
184 Del 4p16.2–16.3 48,283 5,405,805 5357 4p deletion syndrome GDD/ID, epilepsy, cardiac malformation, dysmorphic features
189 Dup 18q21.2–23 48,866,388 77,888,708 29,022 18q21q24 duplication GDD/ID, microcephaly, epilepsy, dysmorphic features

CNV copy number variant, del deletion, dup duplication, chr chromosome, kb kilobase, GDD global developmental delay, ID intellectual disability, ASD autism spectrum disorder

Recurrent pathogenic CNVs were observed in 21 of 35 patients (60%) with pathogenic findings, thus: 15q11.2-q31.1 deletion (two patients), 4p16 deletion (two patients), 22q11.21 deletion (two patients), 22q11.21 duplication (one patient), 16p11.2 proximal deletion (two patients), 16p11.2 proximal duplication (one patient), 18p11 duplications (two patients), 18p11 deletion (one patient), 7p11.23 deletion (one patient), 5q35 deletion (one patient),1q21 deletion (two patient), 1p36 deletion (one patient), 17p11.2 duplication (one patient), 17q21.31 deletion (one patient), Xp22.31 deletion (one patient) (Table 2). The clinical phenotype was suggestive for the etiological diagnosis in four of 189 patients (2.11%) and confirmed by SNP array analysis, thus: Wolf-Hirschhorn syndrome (4p16 deletion), Williams syndrome (7p11.23 deletion), Sotos syndrome (5q35 deletion) and Prader-Willi syndrome (15q11.2-q31.1 deletion). For most patients, the clinical phenotype was not suggestive for a particular etiology.

The patients observed with VOUS in our study group are described in Table 3.

Table 3.

VOUS observed in our GDD/ID patients

Patient CNV/UPD Chromosome Start Stop Size (Kb) Major genes involved Patient phenotype
3 Dup 3q26.1 161,577,780 166,471,417 4893 BCHE, SI GDD/ID
Dup 4q28.2-4q28.3 130,609,436 138,430,265 7820 PCDH10, PABPC4L
Dup 4q12q13.2 58,771,770 67,055,049 8283 EPHA5, LPHN3, TECRL
5 Del 11q25 133,531,291 134,868,407 1337 JAM3, ACAD8, NCAPD3 GDD/ID, dysmorphic features
8 Dup 17q21.33 48,263,589 48,607,252 344 COL1A1,XYLT2 GDD/ID, autism spectrum disorder
62 Dup 21p11.1 34,097,891 34,853,011 755 IFNAR2, PARK20 GDD/ID, dysmorphic features
65 Dup 15q12 26,874,395 26,888,344 14 GABR3 GDD/ID
68 Del 10q21 68,107,483 68,150,124 42 CTNNA3 GDD/ID, dysmorphic features
84 Del 12p12.1 23,836,212 23,840,513 4.3 SOX5 GDD/ID, dysmorphic features, hypotonia
85 Del 1q34 237,584,925 237,597,163 12 RYR2 GDD/ID, dysmorphic features, deafness, mitral insufficiency
Del 16q22.1 70,513,384 70,519,783 6 COG4
110 Dup 11q13.4 70,969,719 71,419,408 449 DHCR7 GDD/ID, obesity
123 Del 19p13.11 33,882,222 33,893,008 10 PEPD GDD/ID, dysmorphic features, spastic paraplegia
Del homozygous 7p22.1 4,823,971 4,839,265 15 AP5Z1
163 Dup 3q27.1 184,010,230 184,038,969 28 PARK18 GDD/ID, autism spectrum disorder, language delay
164 Del 6p25.1 5,256,116 5,391,419 135 FARS2, LYRM4 GDD/ID, obesity, hypospadias, language delay
173 Dup 22q11.21 18,877,787 19,008,108 130 DGCR5, DGCR6, DGCR9, PRODH GDD/ID, ataxia
178 Dup 22q11.21 18,895,227 19,008,108 112 DGCR5, DGCR6, DGCR9, PRODH GDD/ID, dysmorphic features
183 Del 10q22.3 79,313,729 79,331,919 18 KCNMA1 GDD/ID, West syndrome, ataxia
185 Del 18q21.1 43,655,010 43,743,081 88 ATP5A1 GDD/ID, microcephaly, dysmorphic features, short stature
186 Del Xp11.4 38,230,704 38,246,882 16 OTC GDD/ID, obesity, cryptorchidism
188 Del Xp11.4 38,235,792 38,256,737 20 OTC GDD/ID, dysmorphic features

CNV copy number variant, UPD uniparental disomy, kb kilobase

Discussions

In this study group of Romanian patients with GDD/ID we identified pathogenic CNVs, UPD or VOUS in 28% of patients. Pathogenic CNVs and UPD were seen in 18.5% of patients. The recurrent pathogenic CNVs were seen in 60% of patients with pathogenic findings (CNVs or UPD).

A similar percentage of pathogenic findings analyzing patients with GDD/ID was also seen in other studies [1825], supporting the important diagnosis yield given by this analysis, indicated as first-tier test in GDD/ID [10]. A genomic approach for the patients with an unspecific phenotype such as isolated or syndromic GDD/ID is useful, in our research, the clinical etiological diagnosis was indicated in only 2% of cases, similar with other study [9].

Recurrent CNVs were identified in 60% of pathologic findings, the same percentage being observed by other study [26], these CNVs having in some cases a potential recognizable phenotype, even if quite variable in some patients, compared to the classical clinical picture. This could be an argument to continue giving an importance to the phenotype evaluation, which could bring a diagnosis in some patients, that can be confirmed more easily and less expensive by MLPA technique. The same recurrent CNVs seen in our study, described above, were also noted by other studies [26, 27]. Chromosome 18 was often involved in pathogenic CNVs, four patients presenting large deletion/duplication: 18q21.2-q23 duplication, 18p11.32-p11.21 duplication and 18p11.32-p11.21 deletion.

Some patients presented some very rare and particular CNVs, which will be described below. The patient 3, a 12-year-old boy with isolated GDD/ID, presented as a particularity a pathogenic 22q11.1-q11.21 duplication of 1.5 Mb (cat eye syndrome) associated to a pathogenic Xq27.1-q27.3 duplication of 7.4 Mb duplication, the last one including more OMIM genes, SOX3 being a known morbid OMIM gene, coding for a transcription factor implicated in neurodevelopment, which is associated with X-linked intellectual disability and panhypopituitarism or growth hormone deficiency. These features were described for other patients in literature, our patient presenting isolated GDD/ID without endocrine or other features [2831]. The patient 5, a 18-year-old girl with GDD/ID and dysmorphic signs, presented 29.4 Mb duplication of 1q41-1q44 region, which included 43 morbid OMIM genes (including ZBTB18), a similar CNV being described in other patients, most of them also presenting short stature or associated internal malformations [3235], features not observed in our patient.

In patient 6, a 11-year-old boy with GDD/ID, epilepsy, autism spectrum disorder (ASD) and obesity was detected a 16p13.2-16p13.13 duplication (3.8 Mb), including GRIN2A gene -known to be associated with epilepsy and GDD/ID- and also 16p13.2 region -known to be associated with 16p13.2 duplication syndrome - USP7 gene usually involving ASD and GDD/ID- these features were also described in our patients [27]. The pathogenic CNVs described in patient 45 – a 3-year-old girl with GDD/ID, short stature and dysmorphic features - is a 14q32.2 deletion (1.3 Mb), which included genes involved in ID, as YY1 gene, responsible of Gabriela de Vries syndrome [36], overlapping CNVs were described in Decipher patients (260,834, 291,402), with similar phenotypes as our patient, the cases with this CNV are very rare. 6q15-q21 deletion of 20.3 Mb seen in patient 71 is another rare CNV already noted in association with GDD/ID [3739], including an important number of OMIM genes involved in neurodevelopment. In patient 153, presenting with GDD/ID and dysmorphic features, was observed the 7p15.3-p21.1 deletion (4.7 Mb), also described in association with ID [40], for this patient it is interesting that TWIST1 gene, associated with Saetre-Chotzen syndrome, is also included in this deletion, being responsible for dysmorphic features presented in our patient. The deletion in 4q22.2-q24 region in patient 166, who presents GDD/ID, dysmorphic features and language delay is also a very rare CNVs, it was described in patients with similar features [41, 42].

Conclusion

The pathogenic findings, as pathogenic CNVs or UPD, were observed in 18.5% patients, thus supporting the use of chromosomal microarray technique in patients with a non-specific phenotype such as GDD/ID. Recurrent CNVs were observed in 60% patients of those with pathogenic findings, as: 15q11.2-q31.1 deletion, 4p16 deletion, 22q11.21 deletion, 22q11.2 duplication, 16p11.2 deletion, 16p11.2 duplication, 18p11 duplications, 18p11 deletion, 7p11.23 deletion, 5q35 deletion,1q21 deletion, 1p36 deletion, 17p11.2 duplication, 17q21.31 deletion, Xp22.31 deletion.

Acknowledgements

Not applicable.

Abbreviations

GDD

Global developmental delay

SD

Standard deviation

ID

Intellectual disability

CMA

Chromosomal microarray analysis

FISH

Fluorescent in situ hybridization

MLPA

Multiplex ligation-dependent probe amplification

qPCR

Quantitative polymerase chain reaction

CNVs

Copy number variants

SNVs

Single nucleotide variants

Indels

Insertion and/or deletion of nucleotides into genomic DNA (deoxyribonucleic acid), less than 1 kb in lenght

CNS

Central nervous system

SNP array

Single nucleotide polymorphism array

WISC-IV

Wechsler Intelligence Scale for Children

NEPSY

Developmental NEuroPSYchological Assessment

EEG

Electroencephalogram

DNA

Deoxyribonucleic acid

UPD

Uniparental disomy

VOUS

Variant of unknown significance

Del

Deletion

Dup

Duplication

Chr

Chromosome

Kb

Kilobase

ASD

Autism spectrum disorder

Mb

Megabase

Authors’ contributions

DM (conceptualization, methodology, validation, investigation, manuscript writing, manuscript supervising), SO (methodology, validation, investigation, manuscript writing), SB (methodology, investigation), DS (methodology, investigation), RP (methodology, investigation), MM (methodology, investigation), MP (methodology, investigation), CZ (methodology, investigation), ACE (methodology, investigation), CA (methodology, validation, investigation, manuscript supervising). All authors read and approved the final manuscript.

Funding

Not applicable.

Availability of data and materials

Relevant data generated or analyzed during this study are included in this published article. The other datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.

Declarations

Ethics approval and consent to participate

All methods and genetic testing were carried out in accordance with the ethical standards on human experimentation, of the hospital committee and with the ethical standards as laid down in the 1964 Declaration of Helsinki and its later amendments. The research was approved by Ethic Committee of Clinical Emergency Hospital for Children, Cluj-Napoca. Written informed consent was obtained from the legal guardians of all the participants in the study.

Consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

Footnotes

Publisher’s Note

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Contributor Information

Diana Miclea, Email: diana.miclea@umfcluj.ro, Email: bolca12diana@yahoo.com.

Sergiu Osan, Email: sergiuosan96@gmail.com.

Simona Bucerzan, Email: bucerzansimona@yahoo.com.

Delia Stefan, Email: delia_stefan@hotmail.com.

Radu Popp, Email: radupopp2001@yahoo.com.

Monica Mager, Email: maberecki@yahoo.com.

Maria Puiu, Email: maria.puiu@gmail.com.

Cristian Zimbru, Email: cristian_zimbru@yahoo.com.

Adela Chirita-Emandi, Email: adela.chirita@yahoo.com.

Camelia Alkhzouz, Email: alkhzouz@yahoo.com.

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Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Data Availability Statement

Relevant data generated or analyzed during this study are included in this published article. The other datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.


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