Evaluation of chromosomal abnormalities in the postnatal cohort: A single-center study on 14,242 patients.

chromosomal abnormality gender karyotype postnatal

Journal

Journal of clinical laboratory analysis
ISSN: 1098-2825
Titre abrégé: J Clin Lab Anal
Pays: United States
ID NLM: 8801384

Informations de publication

Date de publication:
19 Dec 2023
Historique:
revised: 15 11 2023
received: 21 09 2023
accepted: 07 12 2023
medline: 20 12 2023
pubmed: 20 12 2023
entrez: 20 12 2023
Statut: aheadofprint

Résumé

Chromosomal analysis is a laboratory technique used to examine the chromosomes of an individual, offering insights into chromosome numbers, structures, and arrangements to diagnose and comprehend genetic diseases. This retrospective study provides a comprehensive understanding of the distribution by indications in a large cohort of 14,242 patients and the frequency of chromosomal abnormalities in different clinical populations. The study examined various indications for karyotype evaluation, with recurrent pregnancy loss being the most common indication, followed by intellectual disability, dysmorphic features, congenital anomalies, and developmental delay. The overall chromosomal abnormality rate was found to be 5.4%, with numerical abnormalities accounting for the majority of cases (61.7%). Trisomies, particularly trisomy 21, were the most frequent numerical abnormalities. In terms of structural abnormalities, inversions and translocations were the most commonly identified. The rates of chromosomal anomalies varied in specific indications such as amenorrhea, disorders of sex development, and Turner syndrome. The study also highlighted significant differences between males and females in the presence of chromosomal abnormalities across certain indications. Males exhibited a higher incidence of chromosomal abnormalities in cases of Down syndrome and infertility, whereas females showed higher abnormalities in terms of recurrent pregnancy loss. While this study provides valuable insights into the frequency and distribution of chromosomal abnormalities, it has limitations, including its retrospective design and reliance on data from a single medical genetics department. Nevertheless, the findings emphasize the importance of karyotype analysis in diagnosing chromosomal disorders and providing appropriate management, while also pointing to potential gender-related variations in chromosomal abnormalities that warrant further investigation.

Sections du résumé

BACKGROUND AND AIM OBJECTIVE
Chromosomal analysis is a laboratory technique used to examine the chromosomes of an individual, offering insights into chromosome numbers, structures, and arrangements to diagnose and comprehend genetic diseases. This retrospective study provides a comprehensive understanding of the distribution by indications in a large cohort of 14,242 patients and the frequency of chromosomal abnormalities in different clinical populations.
METHOD METHODS
The study examined various indications for karyotype evaluation, with recurrent pregnancy loss being the most common indication, followed by intellectual disability, dysmorphic features, congenital anomalies, and developmental delay.
RESULTS RESULTS
The overall chromosomal abnormality rate was found to be 5.4%, with numerical abnormalities accounting for the majority of cases (61.7%). Trisomies, particularly trisomy 21, were the most frequent numerical abnormalities. In terms of structural abnormalities, inversions and translocations were the most commonly identified. The rates of chromosomal anomalies varied in specific indications such as amenorrhea, disorders of sex development, and Turner syndrome. The study also highlighted significant differences between males and females in the presence of chromosomal abnormalities across certain indications. Males exhibited a higher incidence of chromosomal abnormalities in cases of Down syndrome and infertility, whereas females showed higher abnormalities in terms of recurrent pregnancy loss.
CONCLUSION CONCLUSIONS
While this study provides valuable insights into the frequency and distribution of chromosomal abnormalities, it has limitations, including its retrospective design and reliance on data from a single medical genetics department. Nevertheless, the findings emphasize the importance of karyotype analysis in diagnosing chromosomal disorders and providing appropriate management, while also pointing to potential gender-related variations in chromosomal abnormalities that warrant further investigation.

Identifiants

pubmed: 38115218
doi: 10.1002/jcla.24997
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e24997

Informations de copyright

© 2023 The Authors. Journal of Clinical Laboratory Analysis published by Wiley Periodicals LLC.

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Auteurs

Izem Olcay Sahin (IO)

Department of Medical Genetics, Faculty of Medicine, Erciyes University, Kayseri, Türkiye.

Hilal Akalin (H)

Department of Medical Genetics, Faculty of Medicine, Erciyes University, Kayseri, Türkiye.

Seyma Aktas Paskal (SA)

Department of Medical Genetics, Faculty of Medicine, Erciyes University, Kayseri, Türkiye.

Busra Tan (B)

Department of Medical Genetics, Faculty of Medicine, Erciyes University, Kayseri, Türkiye.

Ezgi Yalcinkaya (E)

Department of Medical Genetics, Faculty of Medicine, Erciyes University, Kayseri, Türkiye.

Mikail Demir (M)

Department of Medical Genetics, Faculty of Medicine, Erciyes University, Kayseri, Türkiye.

Mustafa Yakubi (M)

Department of Medical Genetics, Faculty of Medicine, Erciyes University, Kayseri, Türkiye.

Busra Ozguc Caliskan (BO)

Department of Medical Genetics, Faculty of Medicine, Erciyes University, Kayseri, Türkiye.

Ozlem Gokce Ekinci (OG)

Department of Medical Genetics, Faculty of Medicine, Erciyes University, Kayseri, Türkiye.

Mehmet Ercan (M)

Department of Medical Genetics, Faculty of Medicine, Erciyes University, Kayseri, Türkiye.

Tugce Yasar Kucuk (TY)

Department of Medical Genetics, Faculty of Medicine, Erciyes University, Kayseri, Türkiye.

Gizem Gokgoz (G)

Department of Medical Genetics, Faculty of Medicine, Erciyes University, Kayseri, Türkiye.

Aslihan Kiraz (A)

Department of Medical Genetics, Faculty of Medicine, Erciyes University, Kayseri, Türkiye.

Huseyin Per (H)

Department of Pediatric Neurology, Faculty of Medicine, Children's Hospital, Erciyes University, Kayseri, Türkiye.

Mahmut Tuncay Ozgun (MT)

Department of Obstetrics and Gynecology, Faculty of Medicine, Erciyes University, Kayseri, Türkiye.

Numan Baydilli (N)

Department of Urology, Faculty of Medicine, Erciyes University, Kayseri, Türkiye.

Yusuf Ozkul (Y)

Department of Medical Genetics, Faculty of Medicine, Erciyes University, Kayseri, Türkiye.

Munis Dundar (M)

Department of Medical Genetics, Faculty of Medicine, Erciyes University, Kayseri, Türkiye.

Classifications MeSH