Prospective research have shown that whole exome sequencing (WES) may be considered when a diagnosis cannot be obtained using routine prenatal methods, e.g., chromosomal karyotyping and copy number variation sequencing, for fetuses with significant structural anomalies. WES can increase the diagnostic rate of genetic disorders in such fetuses by 8% - 10%. Prenatal WES has been gaining wide acceptance. However, due to the limitations of fetal phenotypic evaluation and complexity of ethical issues in prenatal diagnosis, to justify and standardize the application of prenatal WES and maximize its clinical utility has become an urgent need. In view of this, a consensus has been formed by referring to the latest guidelines, expert consensus and authoritative literature. This consensus has put forward suggestions on the suitable objects of prenatal WES, pre-test consultation, sampling and laboratory testing, results report, post-test consultation, pregnancy outcome follow-up, multidisciplinary consultation of difficult cases, preservation of prenatal WES samples and data information.

The Human Reference Genome serves as the foundation for modern genomic analyses. However, in its present form, it does not adequately represent the vast genetic diversity of the human population. In this study, we explored the consensus genome as a potential successor of the current reference genome and assessed its effect on the accuracy of RNA-seq read alignment. To find the best haploid genome representation, we constructed consensus genomes at the pan-human, superpopulation, and population levels, using variant information from The 1000 Genomes Project Consortium. Using personal haploid genomes as the ground truth, we compared mapping errors for real RNA-seq reads aligned to the consensus genomes versus the reference genome. For reads overlapping homozygous variants, we found that the mapping error decreased by a factor of approximately two to three when the reference was replaced with the pan-human consensus genome. We also found that using more population-specific consensuses resulted in little to no increase over using the pan-human consensus, suggesting a limit in the utility of incorporating a more specific genomic variation. Replacing the reference with consensus genomes impacts functional analyses, such as differential expressions of isoforms, genes, and splice junctions.

Ciliopathies are a group of genetic dystrophies causing syndromic and non-syndromic retinal degeneration. We identified CFAP410 as the causative gene in a patient with childhood-onset retinal dystrophy without other systemic symptoms at the age of 20. This 20-year-old man presented with cone-rod dystrophy and CFAP410 homozygous in-frame duplication variants (c.340_351dup). His clinical features included early subnormal vision, posterior pole staphyloma, and short stature. Unlike the previously reported features of retinal ciliopathy, our patient showed no obvious retinal pigmentation and only a slight hyper-autofluorescent parafoveal ring at the 16-year follow up. This case report aims to characterize the clinical features in a patient with novel, homozygous and likely pathogenic in-frame duplication variants in the CFAP410 gene. Ultimately, this report will help contribute to the understanding of CFAP410-associated ciliopathies.

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To develop an evidence-based clinical practice guideline for the use of exome and genome sequencing (ES/GS) in the care of pediatric patients with one or more congenital anomalies (CA) with onset prior to age 1 year or developmental delay (DD) or intellectual disability (ID) with onset prior to age 18 years.
The Pediatric Exome/Genome Sequencing Evidence-Based Guideline Work Group (n = 10) used the Grading of Recommendations Assessment, Development and Evaluation (GRADE) evidence to decision (EtD) framework based on the recent American College of Medical Genetics and Genomics (ACMG) systematic review, and an Ontario Health Technology Assessment to develop and present evidence summaries and health-care recommendations. The document underwent extensive internal and external peer review, and public comment, before approval by the ACMG Board of Directors.
The literature supports the clinical utility and desirable effects of ES/GS on active and long-term clinical management of patients with CA/DD/ID, and on family-focused and reproductive outcomes with relatively few harms. Compared with standard genetic testing, ES/GS has a higher diagnostic yield and may be more cost-effective when ordered early in the diagnostic evaluation.
We strongly recommend that ES/GS be considered as a first- or second-tier test for patients with CA/DD/ID.

Exome sequencing (ES) enhanced the diagnostic yield of genetic testing, but has also increased the possibility of uncertain findings. Prenatal ES is increasingly being offered after a fetal abnormality is detected through ultrasound. It is important to know how to handle uncertainty in this particularly stressful period. This systematic review aimed to provide a comprehensive overview of guidelines available for addressing uncertainty related to prenatal chromosomal microarray (CMA) and ES. Ten uncertainty types associated with prenatal ES and CMA were identified and defined by an international multidisciplinary team. Medline (all) and Embase were systematically searched. Laboratory scientists, clinical geneticists, psychologists, and a fetal medicine specialist screened the papers and performed the data extraction. Nineteen papers were included. Recommendations generally emphasized the importance of trio analysis, clinical information, data sharing, validation and re-analysis, protocols, multidisciplinary teams, genetic counselling, whether to limit the possible scope of results, and when to report particular findings. This systematic review helps provide a vocabulary for uncertainties, and a compass to navigate uncertainties. Prenatal CMA and ES guidelines provide a strong starting point for determining how to handle uncertainty. Gaps in guidelines and recommendations were identified and discussed to provide direction for future research and policy making.

With the rapid development and adaptation of high-throughput sequencing in clinical settings, application of exome sequencing (ES) has been gradually expanded from pediatric to prenatal diagnosis in recent years. There is an urgent need to establish criteria for clinical grade ES in order to facilitate such a complex testing. The standardization of pre- and post-test consultation, quality control for sample processing process and validation of bioinformatics data analysis, and more importantly data interpretation and reporting, as well as appropriate reporting scope, is of great importance for health care stakeholders. To achieve this, a committee composed of a wide range of healthcare professionals has proposed an ES standard for prenatal diagnosis. This has provided expert opinion on the genetic counseling and reporting standards of prenatal ES for the purpose of applying ES technology in prenatal setting.

Colorectal cancer (CRC) tumors can be partitioned into four biologically distinct consensus molecular subtypes (CMS1-4) using gene expression. Evidence is accumulating that tumors in different subtypes are likely to respond differently to treatments. However, to date, there is no clinical diagnostic test for CMS subtyping. In this study, we used novel methodology in a multi-cohort training domain (n = 1,214) to develop the ColoType scores and classifier to predict CMS1-4 based on expression of 40 genes. In three validation cohorts (n = 1,744, in total) representing three distinct gene-expression measurement technologies, ColoType predicted gold-standard CMS subtypes with accuracies 0.90, 0.91, 0.88, respectively. To accommodate for potential intratumoral heterogeneity and tumors of mixed subtypes, ColoType was designed to report continuous scores measuring the prevalence of each of CMS1-4 in a tumor, in addition to specifying the most prevalent subtype. For analysis of clinical specimens, ColoType was also implemented with targeted RNA-sequencing (Illumina AmpliSeq). In a series of formalin-fixed, paraffin-embedded CRC samples (n = 49), ColoType by targeted RNA-sequencing agreed with subtypes predicted by two independent methods with accuracies 0.92, 0.82, respectively. With further validation, ColoType by targeted RNA-sequencing, may enable clinical application of CMS subtyping with widely-available and cost-effective technology.

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For neurodevelopmental disorders (NDDs), etiological evaluation can be a diagnostic odyssey involving numerous genetic tests, underscoring the need to develop a streamlined algorithm maximizing molecular diagnostic yield for this clinical indication. Our objective was to compare the yield of exome sequencing (ES) with that of chromosomal microarray (CMA), the current first-tier test for NDDs.
We performed a PubMed scoping review and meta-analysis investigating the diagnostic yield of ES for NDDs as the basis of a consensus development conference. We defined NDD as global developmental delay, intellectual disability, and/or autism spectrum disorder. The consensus development conference included input from genetics professionals, pediatric neurologists, and developmental behavioral pediatricians.
After applying strict inclusion/exclusion criteria, we identified 30 articles with data on molecular diagnostic yield in individuals with isolated NDD, or NDD plus associated conditions (such as Rett-like features). Yield of ES was 36% overall, 31% for isolated NDD, and 53% for the NDD plus associated conditions. ES yield for NDDs is markedly greater than previous studies of CMA (15-20%).
Our review demonstrates that ES consistently outperforms CMA for evaluation of unexplained NDDs. We propose a diagnostic algorithm placing ES at the beginning of the evaluation of unexplained NDDs.