Wen-Bin He 1,2,3,4 , Wen-Juan Xiao 2,5 , Cong-Ling Dai 1,2,3,4 , Hao Hu 6,4 , Juan Du 7,2,3,4 , Yu-Rong Wang 5 , Xiu-Rong Li 3,4 , Fei Gong 1,2,3,4 , Lan-Lan Meng 1,3 , Chen Tan 1 , Si-Cong Zeng 3,5 , Guang-Xiu Lu 2,3,4,5 , Ge Lin 1,2,3,4 , Yue-Qiu Tan 1,2,3,4,5 . Show Affiliations »
Abstract
BACKGROUND: Numerous variants of uncertain significance (VUSs) have been identified by whole exome sequencing in clinical practice. However, VUSs are not currently considered medically actionable. OBJECTIVE: To assess the splicing patterns of 49 VUSs in 48 families identified clinically to improve genetic counselling and family planning. METHODS: Forty-nine participants with 49 VUSs were recruited from the Reproductive and Genetic Hospital of CITIC-Xiangya. Bioinformatic analysis was performed to preliminarily predict the splicing effects of these VUSs. RT-PCR and minigene analysis were used to assess the splicing patterns of the VUSs. According to the results obtained, couples opted for different methods of reproductive interventions to conceive a child, including prenatal diagnosis and preimplantation genetic testing (PGT). RESULTS: Eleven variants were found to alter pre-mRNA splicing and one variant caused nonsense-mediated mRNA decay, which resulted in the reclassification of these VUSs as likely pathogenic. One couple chose to undergo in vitro fertilisation with PGT treatment; a healthy embryo was transferred and the pregnancy is ongoing. Three couples opted for natural pregnancy with prenatal diagnosis. One couple terminated the pregnancy because the fetus was affected by short-rib thoracic dysplasia and harboured the related variant. The infants of the other two couples were born and were healthy at their last recorded follow-up. CONCLUSION: RNA splicing analysis is an important method to assess the impact of sequence variants on splicing in clinical practice and can contribute to the reclassification of a significant proportion of VUSs. RNA splicing analysis should be considered for genetic disease diagnostics. © Author(s) (or their employer(s)) 2022. No commercial re-use. See rights and permissions. Published by BMJ.
BACKGROUND: Numerous variants of uncertain significance (VUSs) have been identified by whole exome sequencing in clinical practice. However, VUSs are not currently considered medically actionable. OBJECTIVE: To assess the splicing patterns of 49 VUSs in 48 families identified clinically to improve genetic counselling and family planning. METHODS: Forty-nine participants with 49 VUSs were recruited from the Reproductive and Genetic Hospital of CITIC-Xiangya. Bioinformatic analysis was performed to preliminarily predict the splicing effects of these VUSs. RT-PCR and minigene analysis were used to assess the splicing patterns of the VUSs. According to the results obtained, couples opted for different methods of reproductive interventions to conceive a child, including prenatal diagnosis and preimplantation genetic testing (PGT). RESULTS: Eleven variants were found to alter pre-mRNA splicing and one variant caused nonsense-mediated mRNA decay, which resulted in the reclassification of these VUSs as likely pathogenic. One couple chose to undergo in vitro fertilisation with PGT treatment; a healthy embryo was transferred and the pregnancy is ongoing. Three couples opted for natural pregnancy with prenatal diagnosis. One couple terminated the pregnancy because the fetus was affected by short-rib thoracic dysplasia and harboured the related variant. The infants of the other two couples were born and were healthy at their last recorded follow-up. CONCLUSION: RNA splicing analysis is an important method to assess the impact of sequence variants on splicing in clinical practice and can contribute to the reclassification of a significant proportion of VUSs. RNA splicing analysis should be considered for genetic disease diagnostics. © Author(s) (or their employer(s)) 2022. No commercial re-use. See rights and permissions. Published by BMJ.
Entities: Chemical
Keywords:
RNA; genetic testing; mutation; sequence analysis
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Year: 2022
PMID: 35121647 DOI: 10.1136/jmedgenet-2021-108013
Source DB: PubMed Journal: J Med Genet ISSN: 0022-2593 Impact factor: 5.941