Identification of deep intronic variants of PAH in phenylketonuria using full-length gene sequencing

Author:

Zhang Chuan,Yan Yousheng,Zhou Bingbo,Wang Yupei,Tian Xinyuan,Hao Shengju,Ma Panpan,Zheng Lei,Zhang Qinghua,Hui Ling,Wang Yan,Cao ZongfuORCID,Ma Xu

Abstract

Abstract Background Phenylketonuria (PKU) is an autosomal recessive congenital metabolic disorder caused by PAH variants. Previously, approximately 5% of PKU patients remained undiagnosed after Sanger sequencing and multiplex ligation-dependent probe amplification. To date, increasing numbers of pathogenic deep intronic variants have been reported in more than 100 disease-associated genes. Methods In this study, we performed full-length sequencing of PAH to investigate the deep intronic variants in PAH of PKU patients without definite genetic diagnosis. Results We identified five deep intronic variants (c.1199+502A>T, c.1065+241C>A, c.706+368T>C, c.706+531>C, and c.706+608A>C). Of these, the c.1199+502A>T variant was found at high frequency and may be a hotspot PAH variant in Chinese PKU. c.706+531T>C and c.706+608A>C are two novel variants that extend the deep intronic variant spectrum of PAH. Conclusion Deep intronic variant pathogenicity analysis can further improve the genetic diagnosis of PKU patients. In silico prediction and minigene analysis are powerful approaches for studying the functions and effects of deep intronic variants. Targeted sequencing after full-length gene amplification is an economical and effective tool for the detection of deep intron variation in genes with small fragments.

Funder

National Key Research and Development Program of China

Lanzhou Science and Technology Plan Project

National Population and Reproductive Health Science Data Center

National Science and Technology Resource Sharing Service Platform Project

Gansu Provincial Clinical Research Center for Birth Defects and Rare Diseases

Gansu Natural Science Foundation

Publisher

Springer Science and Business Media LLC

Subject

Pharmacology (medical),Genetics (clinical),General Medicine

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