2021
DOI: 10.3390/ijms22168821
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Identification and Classification of Novel Genetic Variants: En Route to the Diagnosis of Primary Ciliary Dyskinesia

Abstract: Primary ciliary dyskinesia (PCD) is a disease caused by impaired function of motile cilia. PCD mainly affects the lungs and reproductive organs. Inheritance is autosomal recessive and X-linked. PCD patients have diverse clinical manifestations, thus making the establishment of proper diagnosis challenging. The utility of next-generation sequencing (NGS) technology for diagnostic purposes allows for better understanding of the PCD genetic background. However, identification of specific disease-causing variants … Show more

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Cited by 4 publications
(3 citation statements)
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“…Primary ciliary dyskinesia (PCD) (OMIM#244400) is a rare genetic disorder affecting between 1:15,000 and 1:30,000 individuals worldwide ( 1 , 2 ). Most PCD cases are inherited in an autosomal recessive manner, although rare cases have been reported to show X-linked inheritance ( 2 , 3 ).…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…Primary ciliary dyskinesia (PCD) (OMIM#244400) is a rare genetic disorder affecting between 1:15,000 and 1:30,000 individuals worldwide ( 1 , 2 ). Most PCD cases are inherited in an autosomal recessive manner, although rare cases have been reported to show X-linked inheritance ( 2 , 3 ).…”
Section: Introductionmentioning
confidence: 99%
“…Primary ciliary dyskinesia (PCD) (OMIM#244400) is a rare genetic disorder affecting between 1:15,000 and 1:30,000 individuals worldwide ( 1 , 2 ). Most PCD cases are inherited in an autosomal recessive manner, although rare cases have been reported to show X-linked inheritance ( 2 , 3 ). The disease is characterized by impaired function of motile cilia ( 4 ), and clinical manifestations include chronic or recurrent respiratory tract infections, situs inversus (SI), conductive hearing impairment, and infertility ( 5 ).…”
Section: Introductionmentioning
confidence: 99%
“…High-throughput DNA analysis technologies, which generate large amounts of data, must be analyzed in an appropriate manner to ensure that the identified variants are indeed causative for the disease. The article by Števanovic et al, proposes a unique pipeline that uses combination of data available from in silico databases, prediction tools and functional analyses to assess the pathogenic and clinical impact of a large number of genetic variants of unknown significance (VUS) identified in NGS sequencing [25]. The authors positively validated their pipeline by analyzing pathogenic impact of variants identified in both known and candidate PCD genes (DNAI1 and SPAG16, respectively), concluding that application of this approach could lead to a more reliable PCD diagnosis.…”
mentioning
confidence: 99%