Novel SETBP1 mutation in a chinese family with intellectual disability.


Journal

BMC medical genomics
ISSN: 1755-8794
Titre abrégé: BMC Med Genomics
Pays: England
ID NLM: 101319628

Informations de publication

Date de publication:
05 10 2023
Historique:
received: 01 03 2023
accepted: 28 08 2023
medline: 1 11 2023
pubmed: 6 10 2023
entrez: 5 10 2023
Statut: epublish

Résumé

Intellectual disability (ID) is characterized by an IQ < 70, which implies below-average intellectual function and a lack of skills necessary for daily living. ID may occur due to multiple causes, such as metabolic, infectious, and chromosomal causes. ID affects approximately 1-3% of the population; however, the cause can be identified in only 25% of clinical patients. To find the cause of genetic ID in a family, we performed whole-exome sequencing and Sanger sequencing to confirm the presence of a SETBP1 variant and real-time quantitative polymerase chain reaction to detect SETBP1 expression in the proband and normal controls. A novel variant, c.942_943insGT (p. Asp316TrpfsTer28), was found in SETBP1. Furthermore, we observed that SETBP1 expression in patients was only 20% that of normal controls (P < 0.05). A heterozygous variant in SETBP1 associated with ID was found. This report provides further evidence for its genetic basis and support for clinical genetic diagnosis.

Sections du résumé

BACKGROUND
Intellectual disability (ID) is characterized by an IQ < 70, which implies below-average intellectual function and a lack of skills necessary for daily living. ID may occur due to multiple causes, such as metabolic, infectious, and chromosomal causes. ID affects approximately 1-3% of the population; however, the cause can be identified in only 25% of clinical patients.
METHODS
To find the cause of genetic ID in a family, we performed whole-exome sequencing and Sanger sequencing to confirm the presence of a SETBP1 variant and real-time quantitative polymerase chain reaction to detect SETBP1 expression in the proband and normal controls.
RESULTS
A novel variant, c.942_943insGT (p. Asp316TrpfsTer28), was found in SETBP1. Furthermore, we observed that SETBP1 expression in patients was only 20% that of normal controls (P < 0.05).
CONCLUSION
A heterozygous variant in SETBP1 associated with ID was found. This report provides further evidence for its genetic basis and support for clinical genetic diagnosis.

Identifiants

pubmed: 37798664
doi: 10.1186/s12920-023-01649-x
pii: 10.1186/s12920-023-01649-x
pmc: PMC10552191
doi:

Substances chimiques

SETBP1 protein, human 0
Carrier Proteins 0
Nuclear Proteins 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

233

Informations de copyright

© 2023. BioMed Central Ltd., part of Springer Nature.

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Auteurs

Le Wang (L)

School of Basic Medical Science, Hunan University of Medicine, Huaihua, Hunan, China.
Center for System Biology, Data Sciences, and Reproductive Health, School of Basic Medical Science, Central South University, Changsha, Hunan, China.

Xu-Dong Wang (XD)

Center for System Biology, Data Sciences, and Reproductive Health, School of Basic Medical Science, Central South University, Changsha, Hunan, China.

Bo Yang (B)

Center for System Biology, Data Sciences, and Reproductive Health, School of Basic Medical Science, Central South University, Changsha, Hunan, China.

Xue-Meng Wang (XM)

Center for System Biology, Data Sciences, and Reproductive Health, School of Basic Medical Science, Central South University, Changsha, Hunan, China.

Yu-Qian Peng (YQ)

Center for System Biology, Data Sciences, and Reproductive Health, School of Basic Medical Science, Central South University, Changsha, Hunan, China.

Hang-Jing Tan (HJ)

Center for System Biology, Data Sciences, and Reproductive Health, School of Basic Medical Science, Central South University, Changsha, Hunan, China.

Hong-Mei Xiao (HM)

Center for System Biology, Data Sciences, and Reproductive Health, School of Basic Medical Science, Central South University, Changsha, Hunan, China. hmxiao@csu.edu.cn.

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Classifications MeSH