Identification of Intronic Variants in NDUFA3 as a Cause of Leigh Syndrome by Whole Genome Sequencing and RNA Sequencing

通过全基因组测序和RNA测序鉴定NDUFA3内含子变异是Leigh综合征的病因

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作者:Kohta Nakamura ,Yoshihito Kishita ,Ayumu Sugiura ,Kokoro Ozaki ,Yukiko Yatsuka ,Naoyuki Matsumoto ,Atsuko Okazaki ,Holger Prokisch ,Koichi Maruyama ,Hiroyasu Iwasa ,Kei Murayama ,Hiroshi Matsumoto ,Akira Ohtake ,Yuichi Shiraishi ,Yasushi Okazaki

Abstract

Background and objectives: Leigh syndrome is an important manifestation of childhood-onset primary mitochondrial disease. Panel sequencing and whole exome sequencing are cost-effective for diagnosing mitochondrial diseases; however, more than half of mitochondrial disease cases remain genetically undiagnosed. This study aimed to demonstrate that combining whole genome sequencing (WGS) and RNA sequencing (RNA-seq) analyses can identify disease-causing variants that would otherwise be missed. Methods: We performed WGS and RNA-seq on a patient with Leigh syndrome. Chromosomal phasing using Sanger sequencing of parental and patient blood samples was conducted to confirm compound heterozygous variants. RNA-seq data were analyzed for splicing abnormalities. Overexpression studies of wild-type NDUFA3 in patient-derived fibroblasts were performed to assess restoration of mitochondrial function. Results: We discovered compound heterozygous intronic variants (c.86-16_86-15del in intron2 and c.164-362G>A in intron3) of the NDUFA3 gene. RNA-seq data analysis revealed intron retention and exonization in NDUFA3. Exonization was related to a variant involving the mobile element Alu that resulted in complex abnormal splicing events. Overexpression of wild-type NDUFA3 restored mitochondrial dysfunction in patient-derived fibroblasts, confirming NDUFA3 as a Leigh syndrome causative gene. Discussion: This study highlights the importance of combining WGS and RNA-seq and provides new insights into detecting abnormalities in deep intronic regions, particularly those involving mobile elements, such as Alu. This approach can play a crucial role in identifying genetic variations and elucidating transcriptional control mechanisms that are not readily achieved by conventional methods, especially in the context of mobile element-induced complexities.

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