Application of Whole-Exome Sequencing (WES) for Prenatal Determination of Causes of Fetal Abnormalities

Fetal abnormalities are major issues in prenatal medicine. They affect the predicted pregnancy outcome and entail a risk of future recurrent adverse events in a particular couple. In order to clarify the possible outcomes of a specific pregnancy and subsequent ones, it is of the utmost importance to determine the causes of observed fetal abnormalities. Routine laboratory techniques sometimes fail to identify their cause because they are mainly intended for the detection of chromosomal disorders. Over recent years, single-gene disorders have increasingly been regarded as probable causes of fetal abnormalities, and next-generation sequencing (NGS) technologies have been adopted to detect them. This article provides the findings of applying whole-exome sequencing (WES) for prenatal diagnosis. It is aimed at identifying the causes of various fetus abnormalities with a normal molecular karyotype. The diagnostic value of this technique is shown based on the completeness of clinical patterns, abnormality types, and the ability to simultaneously examine the fetus and the parents. Consequently, WES revealed causative variants in 27.27% of cases, which encourages the consideration of applying this technique as part of a state-of-the-art multiple congenital malformation prenatal diagnosis algorithm

A Study of the Genomic Variations Associated with Autistic Spectrum Disorders in a Russian Cohort of Patients Using Whole-Exome Sequencing

This study provides new data on the whole-exome sequencing of a cohort of children with autistic spectrum disorders (ASD) from an underexplored Russian population. Using both a cross-sectional approach involving a control cohort of the same ancestry and an annotation-based approach involving relevant public databases, we explored exonic single nucleotide variants and copy-number variation potentially involved in the manifestation of ASD. The study results reveal new potential ASD candidate-variants found in the studied Russian cohort and show a high prevalence of common ASD-associated genomic variants, especially those in the genes known to be associated with the manifestation of intellectual disabilities. Our screening of an ASD cohort from a previously understudied population allowed us to flag at least a few novel genes (IGLJ2, FAM21A, OR11H12, HIP1, PRAMEF10, and ZNF717) regarding their potential involvement in ASD.</jats:p

A Study of the Genomic Variations Associated with Autistic Spectrum Disorders in a Russian Cohort of Patients Using Whole-Exome Sequencing

This study provides new data on the whole-exome sequencing of a cohort of children with autistic spectrum disorders (ASD) from an underexplored Russian population. Using both a cross-sectional approach involving a control cohort of the same ancestry and an annotation-based approach involving relevant public databases, we explored exonic single nucleotide variants and copy-number variation potentially involved in the manifestation of ASD. The study results reveal new potential ASD candidate-variants found in the studied Russian cohort and show a high prevalence of common ASD-associated genomic variants, especially those in the genes known to be associated with the manifestation of intellectual disabilities. Our screening of an ASD cohort from a previously understudied population allowed us to flag at least a few novel genes (IGLJ2, FAM21A, OR11H12, HIP1, PRAMEF10, and ZNF717) regarding their potential involvement in ASD

Further delineation of the phenotypic spectrum of pathogenic variants in MED13

Abstract Introduction:Diagnostic yield of the genetic testing in search for the molecular basis of neurodevelopmental diseases remains low due to incomplete knowledge of the phenotypic spectrum of pathogenic variants in a specific gene. Recently the MED13 gene was linked to neurodevelopmental disease. Methods:Four families with children affected by autism spectrum disorder (ASD) were recruited to the study. Extensive genetic testing was performed for each proband: CGG repeat expansion analysis in FMR1 gene; whole exome sequencing (WES); array comparative genomic hybridization (aCGH); maternity and paternity confirmation. Genetic variants which were revealed by WES were verified with Sanger sequencing or aCGH in probands and their relatives. Results:Four rare heterozygous genetic variants in MED13 gene were identified in four unrelated patients with clinical features matching MED13-associated phenotype: intellectual disability (ID) of various degrees, speech delay, ASD and mild facial dysmorphisms. Three of the variants occurred de novo, while one was inherited maternally, in accordance with previous findings, suggesting incomplete penetrance. A patient with a de novo missense mutation in the intrinsic disordered region of MED13 developed seizures similarly to the only other reported patient with a pathogenic missense variant in this region. Limitations:Additional functional studies are needed to elucidate molecular mechanisms of the disease and distinguish between pathogenic and non-pathogenic variation.Conclusion:Our data strongly support the role of MED13 in neurodevelopmental disease by eliminating other common genetic defects. We expand the phenotypic spectrum of the disease causing variants: pathogenic missense variants in the intrinsic disordered region of MED13 may lead to a phenotype with seizures and incomplete penetrance of the maternally inherited variants may occur.</jats:p

Genetic screening of an endemic mutation in the DYSF gene in an isolated, mountainous population in the Republic of Dagestan

Abstract Background Dysferlinopathy has a high prevalence in relatively isolated ethnic groups where consanguineous marriages are characteristic and/or the founder effect exists. However, the frequency of endemic mutations in most isolates has not been investigated. Methods The prevalence of the pathological DYSF gene variant (NM_003494.4); c.200_201delinsAT, p. Val67Asp (rs121908957) was investigated in an isolated Avar population in the Republic of Dagestan. Genetic screenings were conducted in a remote mountainous region characterized by a high level of consanguinity among its inhabitants. In total, 746 individuals were included in the screenings. Results This pathological DYSF gene variant causes two primary phenotypes of dysferlinopathy: limb‐girdle muscular dystrophy (LGMD) type R2 and Miyoshi muscular dystrophy type 1. Results indicated a high prevalence of the allele at 14% (95% confidence interval [CI]: 12–17; 138 out of 1518 alleles), while the allele in the homozygous state was detected in 29 cases—3.8% (CI: 2.6–5.4). The population load for dysferlinopathy was 832.3 ± 153.9 per 100,000 with an average prevalence of limb‐girdle muscular dystrophies ranging from 0.38 ± 0.38 to 5.93 ± 1.44 per 100,000. Conclusion A significant burden of the allele was due to inbreeding, as evidenced by a deficiency of heterozygotes and the Wright fixation index equal to 0.14 (CI 0.06–0.23)

Ultrastructural Abnormalities in Induced Pluripotent Stem Cell-Derived Neural Stem Cells and Neurons of Two Cohen Syndrome Patients

Cohen syndrome is an autosomal recessive disorder caused by VPS13B (COH1) gene mutations. This syndrome is significantly underdiagnosed and is characterized by intellectual disability, microcephaly, autistic symptoms, hypotension, myopia, retinal dystrophy, neutropenia, and obesity. VPS13B regulates intracellular membrane transport and supports the Golgi apparatus structure, which is critical for neuron formation. We generated induced pluripotent stem cells from two patients with pronounced manifestations of Cohen syndrome and differentiated them into neural stem cells and neurons. Using transmission electron microscopy, we documented multiple new ultrastructural changes associated with Cohen syndrome in the neuronal cells. We discovered considerable disturbances in the structure of some organelles: Golgi apparatus fragmentation and swelling, endoplasmic reticulum structural reorganization, mitochondrial defects, and the accumulation of large autophagosomes with undigested contents. These abnormalities underline the ultrastructural similarity of Cohen syndrome to many neurodegenerative diseases. The cell models that we developed based on patient-specific induced pluripotent stem cells can serve to uncover not only neurodegenerative processes, but the causes of intellectual disability in general

Combining chromosome conformation capture and exome sequencing for simultaneous detection of structural and single-nucleotide variants

Abstract Background Effective molecular diagnosis of congenital diseases hinges on comprehensive genomic analysis, traditionally reliant on various methodologies specific to each variant type—whole exome or genome sequencing for single nucleotide variants (SNVs), array CGH for copy-number variants (CNVs), and microscopy for structural variants (SVs). Methods We introduce a novel, integrative approach combining exome sequencing with chromosome conformation capture, termed Exo-C. This method enables the concurrent identification of SNVs in clinically relevant genes and SVs across the genome and allows analysis of heterozygous and mosaic carriers. Enhanced with targeted long-read sequencing, Exo-C evolves into a cost-efficient solution capable of resolving complex SVs at base-pair accuracy. Results Applied to 66 human samples Exo-C achieved 100% recall and 73% precision in detecting chromosomal translocations and SNVs. We further benchmarked its performance for inversions and CNVs and demonstrated its utility in detecting mosaic SVs and resolving diagnostically challenging cases. Conclusions Through several case studies, we demonstrate how Exo-C’s multifaceted application can effectively uncover diverse causative variants and elucidate disease mechanisms in patients with rare disorders