Cystic Fibrosis Treatment Options Discrepancy Globally

Cystic fibrosis, or rather known as CF, is a common monogenic disease caused by genetic mutation on CFTR on chromosome 7. Progressive obstructive pulmonary disease, sinusitis, exocrine pancreatic insufficiency leading to malabsorption and malnutrition, liver and pancreatic dysfunction, and male infertility are all characteristics of the disease. Persistent pulmonary infections are caused by a lack of CFTR or its decreased function, leading to bronchiectasis and progressive lung destruction. Despite the fact that CF patients' lives are shortening, early diagnosis has helped improve patients' life span to a median age of around 50 years, including newborn screening, mild form identification, and a proactive therapy approach. Pancreatic enzyme replacement, respiratory physiotherapy, mucolytics, and strong antibiotic therapy are among treatments for CF. For the majority of people with severe symptoms, a lung or liver transplant is necessary. The CFTR protein is affected by a large number of mutations, each of which have diverse effects. Despite advances in our understanding of CFTR function and contemporary therapy, most of our knowledge of cystic fibrosis remains unclear. With the recent addition of mutation-specific treatments, future advances in health and quality of life for people with CF are likely to improve. The focus of research is on novel medications that restore CFTR function, some of which are now accessible and have a positive therapeutic impact, while others are showing promising preliminary results.

Recommendations for clinical interpretation of variants found in non-coding regions of the genome

Purpose: The majority of clinical genetic testing focuses almost exclusively on regions of the genome that directly encode proteins. The important role of variants in non-coding regions in penetrant disease is, however, increasingly being demonstrated, and the use of whole genome sequencing in clinical diagnostic settings is rising across a large range of genetic disorders. Despite this, there is no existing guidance on how current guidelines designed primarily for variants in protein-coding regions should be adapted for variants identified in other genomic contexts. Methods: We convened a panel of clinical and research scientists with wide-ranging expertise in clinical variant interpretation, with specific experience in variants within non-coding regions. This panel discussed and refined an initial draft of the guidelines which were then extensively tested and reviewed by external groups. Results: We discuss considerations specifically for variants in non-coding regions of the genome. We outline how to define candidate regulatory elements, highlight examples of mechanisms through which non-coding region variants can lead to penetrant monogenic disease, and outline how existing guidelines can be adapted for these variants. Conclusion: These recommendations aim to increase the number and range of non-coding region variants that can be clinically interpreted, which, together with a compatible phenotype, can lead to new diagnoses and catalyse the discovery of novel disease mechanisms.

A rare CTSC mutation in Papillon-Lefèvre Syndrome results in abolished serine protease activity and reduced NET formation but otherwise normal neutrophil function

Papillon-Lefèvre Syndrome (PLS) is an autosomal recessive monogenic disease caused by loss-of-function mutations in the CTSC gene, thus preventing the synthesis of the protease Cathepsin C (CTSC) in a proteolytically active form. CTSC is responsible for the activation of the pro-forms of the neutrophil serine proteases (NSPs; Elastase, Proteinase 3 and Cathepsin G), suggesting its involvement in a variety of neutrophil functions. In PLS neutrophils, the lack of CTSC protease activity leads to inactivity of the NSPs. Clinically, PLS is characterized by an early, typically pre-pubertal, onset of severe periodontal pathology and palmoplantar hyperkeratosis. However, PLS is not considered an immune deficiency as patients do not typically suffer from recurrent and severe (bacterial and fungal) infections. In this study we investigated an unusual CTSC mutation in two siblings with PLS, a 503A>G substitution in exon 4 of the CTSC gene, expected to result in an amino acid replacement from tyrosine to cysteine at position 168 of the CTSC protein. Both patients bearing this mutation presented with pronounced periodontal pathology. The characteristics and functions of neutrophils from patients homozygous for the 503A>G CTSC mutation were compared to another previously described PLS mutation (755A>T), and a small cohort of healthy volunteers. Neutrophil lysates from patients with the 503A>G substitution lacked CTSC protein and did not display any CTSC or NSP activity, yet neutrophil counts, morphology, priming, chemotaxis, radical production, and regulation of apoptosis were without any overt signs of alteration. However, NET formation upon PMA-stimulation was found to be severely depressed, but not abolished, in PLS neutrophils.

Exome sequence analysis of siblings affected with Niemann-Pick type C disease

<p>Mutations in either the Niemann-Pick type C1 or C2 (NPC1/NPC2) gene result in a fatal lysosomal storage disorder, Niemann-Pick type C (NP-C) disease, for which there is no effective cure. The disease is characterized by systemic and neurodegenerative symptoms arising from toxic accumulation of unesterified cholesterol within the late endosome and lysosome, with a common cause of death for patients being respiratory failure or recurrent infection of pulmonary tissue. Interestingly, the disease symptoms are heterogeneous, with age of onset and severity varied, even among siblings with the same mutations in the NPC1 or NPC2 gene causing this monogenic disease. To date there is no clear explanation for disease severity in siblings with the same mutation. As siblings are raised in the same environment, the major hypothesis of this thesis is that there are genetic modifiers that explain variation in disease severity within siblings. To determine if there are genetic variants associated with disease severity, exomes were sequenced from five sibling pairs exhibiting divergent onset and progression of NPC disease. Out of 23,105 genes, 26 variants were identified that were predicted to have functional consequences in NP-C patients, of which homozygous MUC5B and MARCH8 variants segregated across siblings that exhibited increased and decreased severity of disease, respectively. A cluster of variants was discovered on chromosome 11 belonging to the matrix metalloproteinase (MMP) family. Further investigation of one of these variants, a frameshift insertion in MMP-12, confirmed that this locus regulates the accumulation of unesterified cholesterol in primary neurons derived from a murine model of NPC disease. However, this region on chromosome 11 did not have any statistically significant copy number alteration detectable through a depth of coverage analysis. Overall, these results provide groundwork into the sequence variants mediating disease severity, which with further investigations, may be novel pharmacological targets to treat NPC disease.</p>

Exome sequence analysis of siblings affected with Niemann-Pick type C disease

<p>Mutations in either the Niemann-Pick type C1 or C2 (NPC1/NPC2) gene result in a fatal lysosomal storage disorder, Niemann-Pick type C (NP-C) disease, for which there is no effective cure. The disease is characterized by systemic and neurodegenerative symptoms arising from toxic accumulation of unesterified cholesterol within the late endosome and lysosome, with a common cause of death for patients being respiratory failure or recurrent infection of pulmonary tissue. Interestingly, the disease symptoms are heterogeneous, with age of onset and severity varied, even among siblings with the same mutations in the NPC1 or NPC2 gene causing this monogenic disease. To date there is no clear explanation for disease severity in siblings with the same mutation. As siblings are raised in the same environment, the major hypothesis of this thesis is that there are genetic modifiers that explain variation in disease severity within siblings. To determine if there are genetic variants associated with disease severity, exomes were sequenced from five sibling pairs exhibiting divergent onset and progression of NPC disease. Out of 23,105 genes, 26 variants were identified that were predicted to have functional consequences in NP-C patients, of which homozygous MUC5B and MARCH8 variants segregated across siblings that exhibited increased and decreased severity of disease, respectively. A cluster of variants was discovered on chromosome 11 belonging to the matrix metalloproteinase (MMP) family. Further investigation of one of these variants, a frameshift insertion in MMP-12, confirmed that this locus regulates the accumulation of unesterified cholesterol in primary neurons derived from a murine model of NPC disease. However, this region on chromosome 11 did not have any statistically significant copy number alteration detectable through a depth of coverage analysis. Overall, these results provide groundwork into the sequence variants mediating disease severity, which with further investigations, may be novel pharmacological targets to treat NPC disease.</p>

Recent Findings Related to Cardiomyopathy and Genetics

With the development and advancement of next-generation sequencing (NGS), genetic analysis is becoming more accessible. High-throughput genetic studies using NGS have contributed to unraveling the association between cardiomyopathy and genetic background, as is the case with many other diseases. Rare variants have been shown to play major roles in the pathogenesis of cardiomyopathy, which was empirically recognized as a monogenic disease, and it has been elucidated that the clinical course of cardiomyopathy varies depending on the causative genes. These findings were not limited to dilated and hypertrophic cardiomyopathy; similar trends were reported one after another for peripartum cardiomyopathy (PPCM), cancer therapy-related cardiac dysfunction (CTRCD), and alcoholic cardiomyopathy (ACM). In addition, as the association between clinical phenotypes and the causative genes becomes clearer, progress is being made in elucidating the mechanisms and developing novel therapeutic agents. Recently, it has been suggested that not only rare variants but also common variants contribute to the development of cardiomyopathy. Cardiomyopathy and genetics are approaching a new era, which is summarized here in this overview.

WebSeq: A Genomic Data Analytics Platform for Monogenic Disease Discovery

Whole exome sequencing (WES) is commonly used to study monogenic diseases. The application of this sequencing technology has gained in popularity amongst clinicians and researchers as WES pricing has declined. The accumulation of WES data creates a need for a robust, flexible, scalable and easy-to-use analytics platform to allow researchers to gain biological insight from this genomic data. We present WebSeq, a self-contained server and web interface to facilitate intuitive analysis of WES data. WebSeq provides access to sophisticated tools and pipelines through a user-friendly and modern web interface. WebSeq has modules that support i) FASTQ to VCF conversion, ii) VCF to ANNOVAR CSV conversion, iii) family-based analyses for Mendelian disease gene discovery, iv) cohort-wide gene enrichment analyses, (v) an automated IGV browser, and (vi) a 'virtual gene panel' analysis module. WebSeq Pro, our expanded pipeline, also supports SNP genotype analyses such as ancestry inference and kinship testing. WebSeq Lite, our minimal pipeline, supports family-based analyses, cohort-wide gene enrichment analyses, and a virtual gene panel along with the IGV browser module. We anticipate that the rigorous use of our web application will allow researchers to expedite discoveries from human genomic data. WebSeq Lite, WebSeq, and WebSeq Pro are fully containerized using Docker, run on all major operating systems, and are freely available for personal, academic, and non-profit use at http://bitly.ws/g6cn .

Next-Generation Sequencing Gene Panels and “Solo” Clinical Exome Sequencing Applied in Structurally Abnormal Fetuses

<b><i>Objective:</i></b> The aim of the study was to assess the diagnostic yield of 2 different next-generation sequencing (NGS) approaches: gene panel and “solo” clinical exome sequencing (solo-CES), in fetuses with structural anomalies and normal chromosomal microarray analysis (CMA), in the absence of a known familial mutation. <b><i>Methodology:</i></b> Gene panels encompassing from 2 to 140 genes, were applied mainly in persistent nuchal fold/fetal hydrops and in large hyperechogenic kidneys. Solo-CES, which entails sequencing the fetus alone and only interpreting the Online Mendelian Inheritance in Man genes, was performed in multisystem or recurrent structural anomalies. <b><i>Results:</i></b> During the study period (2015–2020), 153 NGS studies were performed in 148 structurally abnormal fetuses with a normal CMA. The overall diagnostic yield accounted for 35% (53/153) of samples and 36% (53/148) of the fetuses. Diagnostic yield with the gene panels was 31% (15/49), similar to 37% (38/104) in solo-CES. <b><i>Conclusions:</i></b> A monogenic disease was established as the underlying cause in 35% of selected fetal structural anomalies by gene panels and solo-CES.

seqr: a web-based analysis and collaboration tool for rare disease genomics

Exome and genome sequencing have become the tools of choice for rare disease diagnosis, leading to large amounts of data available for analyses. To identify causal variants in these datasets, powerful filtering and decision support tools that can be efficiently used by clinicians and researchers are required. To address this need, we developed seqr - an open source, web-based tool for family-based monogenic disease analysis that allows researchers to work collaboratively to search and annotate genomic callsets. To date, seqr is being used in several research pipelines and one clinical diagnostic lab. In our own experience through the Broad Institute Center for Mendelian Genomics, seqr has enabled analyses of over 10,000 families, supporting the diagnosis of more than 3,800 individuals with rare disease and discovery of over 300 novel disease genes. Here we describe a framework for genomic analysis in rare disease that leverages seqr's capabilities for variant filtration, annotation, and causal variant identification, as well as support for research collaboration and data sharing. The seqr platform is available as open source software, allowing low-cost participation in rare disease research, and a community effort to support diagnosis and gene discovery in rare disease.

Large-Scale Screening for Monogenic and Clinically Defined Familial Hypercholesterolemia in Iceland

Objective: Familial hypercholesterolemia (FH) is traditionally defined as a monogenic disease characterized by severely elevated LDL-C (low-density lipoprotein cholesterol) levels. In practice, FH is commonly a clinical diagnosis without confirmation of a causative mutation. In this study, we sought to characterize and compare monogenic and clinically defined FH in a large sample of Icelanders. Approach and Results: We whole-genome sequenced 49 962 Icelanders and imputed the identified variants into an overall sample of 166 281 chip-genotyped Icelanders. We identified 20 FH mutations in LDLR , APOB , and PCSK9 with combined prevalence of 1 in 836. Monogenic FH was associated with severely elevated LDL-C levels and increased risk of premature coronary disease, aortic valve stenosis, and high burden of coronary atherosclerosis. We used a modified version of the Dutch Lipid Clinic Network criteria to screen for the clinical FH phenotype among living adult participants (N=79 058). Clinical FH was found in 2.2% of participants, of whom only 5.2% had monogenic FH. Mutation-negative clinical FH has a strong polygenic basis. Both individuals with monogenic FH and individuals with mutation-negative clinical FH were markedly undertreated with cholesterol-lowering medications and only a minority attained an LDL-C target of <2.6 mmol/L (<100 mg/dL; 11.0% and 24.9%, respectively) or <1.8 mmol/L (<70 mg/dL; 0.0% and 5.2%, respectively), as recommended for primary prevention by European Society of Cardiology/European Atherosclerosis Society cholesterol guidelines. Conclusions: Clinically defined FH is a relatively common phenotype that is explained by monogenic FH in only a minority of cases. Both monogenic and clinical FH confer high cardiovascular risk but are markedly undertreated.