RESUMO
Skeletal dysplasia(SD)is a group of genetic disorders resulting from disruption of normal skeletal growth and development, characterized by heterogeneous and overlapping phenotypes. Molecular diagnosis is required to help physicians further identify the type, etiology and prognosis of the disease. A great number of discoveries of pathogenic mutations has been made largely due to extensive use of whole exome sequencing(WES)and the genomic technique. Here we review the most recent molecular genetic studies of SD using WES technique.
RESUMO
Background Hereditary retinal diseases (HRDs) are a group of retinal degenerative diseases with significant genetic and clinical heterogeneities.Traditional techniques are challenging for detection of pathogenic mutations.Objective This study was to identify the diseasing-causal genes in 20 Chinese families with a variety of HRDs.Methods Family histories and ophthalmic examinations were obtained from all participants in 20 sporadic families.Targeted sequence capture array technique with next-generation sequencing (NGS) was performed to detect pathogenic mutations in 232 identified genes associated with HRDs.Variants detected by NGS were filtered by bioinformatic analysis HRDs.Genotype-phenotype correlation was also assessed.Results We identified 11 patients with pathogenic mutations,including 8 compound heterozygous mutations and 3 homozygous mutations,which were not yet reported.These findings showed genetic diagnoses in 11 of 20 patients,with the positive rate of 55%.Among them,6 patients were autosomal recessive inheritance and 5 were unspecific.Identification of different mutations and divergent phenotypes revealed 5 patients were affected with cone-rod dystrophy,3 patients with Leber congenital amaurosis,1 patient with congenital stationary night blindness,1 patient with Best vitelliform macular dystrophy and 1 patient with Stargardt disease.Conclusions Targeted NGS is an effective approach for the genetic diagnoses of HRDs.These findings provide insights into understanding the genotype-phenotype correlations in HRDs.