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Exome sequencing confirms molecular diagnoses in 38 Chinese families with hereditary spherocytosis

Overview of attention for article published in Science China Life Sciences, March 2018
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Title
Exome sequencing confirms molecular diagnoses in 38 Chinese families with hereditary spherocytosis
Published in
Science China Life Sciences, March 2018
DOI 10.1007/s11427-017-9232-6
Pubmed ID
Authors

Rongrong Wang, Shuanghao Yang, Ming Xu, Jia Huang, Hongyan Liu, Weiyue Gu, Xue Zhang

Abstract

Hereditary spherocytosis (HS), the most common cause of congenital hemolytic anemia, is caused by deficiency of the erythrocyte membrane proteins. Five causative genes (ANK1, SPTB, SPTA1, SLC4A1, and EPB42) have been identified. To date, molecular genetic studies have been performed in different populations, including the American, European, Brazilian, Japanese and Korean populations, whereas only a few studies have been described in the Chinese population. Here, by reanalysis of the exome data, we revealed causative mutations and established a definitive diagnosis of HS in all 38 Chinese families. We found 34 novel mutations and four reported mutations in three known HS-causing genes-17 in ANK1, 17 in SPTB and four in SLC4A1, suggesting that ANK1 and SPTB are the major genes in Chinese patients with HS. All of the ANK1 or SPTB mutations, scattered throughout the entire genes, are non-recurrent; and most of them are null mutations, which might cause HS via a haploinsufficiency mechanism. De novo mutations in ANK1 or SPTB often occur with an unexpected high frequency (87.5% and 64.2%, respectively). Our study updates our knowledge about the genetic profile of HS in Chinese and shows that family-based, especially parent-offspring trio, sequencing analysis can help to increase the diagnostic power and improve diagnostic efficiency.

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The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 22 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 18%
Student > Master 3 14%
Student > Bachelor 2 9%
Professor 1 5%
Student > Doctoral Student 1 5%
Other 2 9%
Unknown 9 41%
Readers by discipline Count As %
Medicine and Dentistry 4 18%
Agricultural and Biological Sciences 3 14%
Biochemistry, Genetics and Molecular Biology 2 9%
Pharmacology, Toxicology and Pharmaceutical Science 2 9%
Chemistry 1 5%
Other 0 0%
Unknown 10 45%