Back to Search
Start Over
Ethnic preference distribution of inborn errors of metabolism: A 4-year study in a multi-ethnic region of China.
- Source :
-
Clinica Chimica Acta . Dec2020, Vol. 511, p160-166. 7p. - Publication Year :
- 2020
-
Abstract
- • The study comprehensively analyzed the newborn screening data of metabolism disorder of 189,354 infants in Ningxia Hui Autonomous Region of China and demonstrated the ethnic preference of the disease incidence and genetic variant distribution. • The study provides insights on multi-ethnic patients in China. Chinese newborns have been screened for inborn errors of metabolism (IEM) for over 20 years. Although China features 56 different ethnic groups, there are no specific data describing the incidence of such genetic errors across difference ethnicities. To understand the ethnic preference distribution of the incidence and variants of IEM in the Ningxia Hui Autonomous Region of China, 189,354 newborns from 2016 to 2019 were screened by tandem mass spectrometry, including 87,482 from the Han ethnic population, 88,229 from the Hui population, 1,103 from other ethnicities, and 12,540 infants without ethnic registration. Suspected cases then underwent specific genetic profiling by targeted next generation sequencing. In total, 160 patients were diagnosed with 17 types of IEM, with a significant higher incidence in Hui infants (1/1,003) than in Han infants (1/1,232). Five diseases (eight patients) were specifically detected in Han infants, while three were exclusively diagnosed in six Hui infants. For shared diseases, the variants of keys genes also showed ethnic preference. Our findings enhance our understanding of the genetics underlying IEM, thus promoting the development of treatment plans for patients from different areas or ethnicities in China. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 00098981
- Volume :
- 511
- Database :
- Academic Search Index
- Journal :
- Clinica Chimica Acta
- Publication Type :
- Academic Journal
- Accession number :
- 147247182
- Full Text :
- https://doi.org/10.1016/j.cca.2020.10.003