Molecular Genetics & Genomic Medicine (Jun 2023)

Incidence and genetic variants of inborn errors of metabolism identified through newborn screening: A 7‐year study in eastern coastal areas of China

  • Shuai Men,
  • Shuang Liu,
  • Qin Zheng,
  • Shuting Yang,
  • Huafen Mao,
  • Zhiwei Wang,
  • Ying Gu,
  • Xinxin Tang,
  • Leilei Wang

DOI
https://doi.org/10.1002/mgg3.2152
Journal volume & issue
Vol. 11, no. 6
pp. n/a – n/a

Abstract

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Abstract Background The incidence of inborn errors of metabolism (IEM) varies across countries and areas. Currently, there are no studies on IEM using newborn screening (NBS) in eastern coastal areas of China. We aimed to estimate the incidence and genetic variants of IEM and understand the spectrum of diseases caused by IEM and variants among them in this area. Methods The NBS performed by tandem mass spectrometry (MS/MS) from 2016 to 2021 was retrospectively reviewed. Heel blood was collected from all newborns 72 h after birth. Targeted massively parallel sequencing was performed for genetic analysis. Results Among 245,194 newborns, 95 were diagnosed with IEM, the overall incidence observed was—IEM: 1/2581; amino acid metabolism disorder: 1/4715; organic acid metabolism disorder: 1/11676; and fatty acid metabolism disorder: 1/11145. The incidence of different IEM was in the range of 1/245194 to 1/6452. Phenylketonuria (PKU, 1/7211) was the most common IEM, followed by methylmalonic acidemia (MMA, 1/27244), short‐chain acyl‐CoA dehydrogenase deficiency (SCADD, 1/30649), and citrin deficiency (CD, 1/35028). For genetic variants, the common hotspot variants found were—PAH gene for PKU: c.728G > A, c.442‐1G > A, c.611A > G, c.721C > T; PTS gene for non‐classical PKU: c.259C > T; MMACHC gene for MMA: c.658_660delAAG, c.609G > A; MMUT gene for MMA: c.1663G > A; ACADS gene for SCADD: c.1031A > G and c.1130C > T; and SLC25A13 gene for CD: c.1638_1660dup, c.852_855del. Conclusion This study displayed the diseases and varied spectrum of IEM in eastern coastal areas of China. Implementing NBS for IEM by MS/MS combined with massively parallel sequencing can offer an improved plan for NBS to detect IEM.

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