Heterozygous ANKRD17 loss-of-function variants cause a syndrome with intellectual disability, speech delay, and dysmorphism

Strabismus in Genetic Syndromes: A Review

Strabismus is a feature of many genetic syndromes, with highly variable penetrance. The congenital cranial dysinnervation disorders (CCDDs) result in paralytic strabismus, with limited eye movements. CCDDs result from either deficits in differentiation of the cranial motor neuron precursors or from abnormal axon guidance of the cranial nerves. Although most individuals with comitant strabismus are otherwise healthy, strabismus is a variable feature of many genetic syndromes, most commonly those associated with intellectual disability. We review 255 genetic syndromes in which strabismus has been described and discuss the variable penetrance. The association with intellectual disability and neurological disorders underscores the likely neurological basis of strabismus, but the variable penetrance emphasises the complexity of strabismus pathophysiology. The syndromes described here mostly result from loss of function or change in function of the responsible genes; one hypothesis is that nonsyndromic strabismus may result from altered expression or regulation of the same genes.

Nucleic acid-binding KH domain proteins influence a spectrum of biological pathways including as part of membrane-localized complexes

K-Homology domain (KH domain) proteins bind single-stranded nucleic acids, influence protein-protein interactions of proteins that harbor them, and are found in all kingdoms of life. In concert with other functional protein domains KH domains contribute to a variety of critical biological activities, often within higher order machineries including membrane-localized protein complexes. Eukaryotic KH domain proteins are linked to developmental processes, morphogenesis, and growth regulation, and their aberrant expression is often associated with cancer. Prokaryotic KH domain proteins are involved in integral cellular activities including cell division and protein translocation. Eukaryotic and prokaryotic KH domains share structural features, but are differentiated based on their structural organizations. In this review, we explore the structure/function relationships of known examples of KH domain proteins, and highlight cases in which they function within or at membrane surfaces. We also summarize examples of KH domain proteins that influence bacterial virulence and pathogenesis. We conclude the article by discussing prospective research avenues that could be pursued to better investigate this largely understudied protein category.

Upregulating ANKHD1 in PS19 mice reduces Tau phosphorylation and mitigates Tau-toxicity-induced cognitive deficits

Abnormal accumulation of Tau protein in the brain disrupts normal cellular function and leads to neuronal death linked with many neurodegenerative disorders such as Alzheimer's disease. An attractive approach to mitigate Tau-induced neurodegeneration is to enhance the clearance of toxic Tau aggregates. We previously showed that upregulation of the fly gene mask protects against FUS- and Tau-induced photoreceptor degeneration in fly disease models. Here we have generated a transgenic mouse line carrying Cre-inducible ANKHD1, the mouse homolog of mask, to determine whether the protective role of mask is conserved from flies to mammals. Utilizing the TauP301S-PS19 mouse model for Tau-related dementia, we observed that ANKHD1 significantly reduced hyperphosphorylated human Tau in 6-month-old mice. Additionally, there was a notable trend towards reduced gliosis levels in these mice, suggesting a protective role of ANKHD1 against TauP301S-linked degeneration. Further analysis of 9-month-old mice revealed a similar trend of effects. Moreover, we found that ANKHD1 also suppresses the cognitive defect of 9-month-old PS19 female mice in novel object recognition (NOR) behavioral assay. Unlike previous therapeutic strategies that primarily focus on inhibiting Tau phosphorylation or directly clearing aggregates, this study highlights the novel role of ANKHD1 in promoting autophagy as a means to mitigate Tau pathology. This novel mechanism not only underscores ANKHD1's potential as a unique therapeutic target for tauopathies but also provides new insights into autophagy-based interventions for neurodegenerative diseases.

Case report: Whole exome sequencing reveals a novel splicing variant of ANKRD17 gene in a Chinese male juvenile with developmental delay and transient tic disorder

Background

The Ankyrin Repeat Domain Containing Protein 17 (ANKRD17, OMIM:615929) gene is a protein-coding gene associated with diseases such as Chopra-Amiel-Gordon Syndrome and Non-Specific Syndromic Intellectual Disability. The protein encoded by ANKRD17 gene belongs to the ankyrin repeat-containing protein family, which is one of the most widely existing protein domains that exclusively mediate protein-protein interactions. To date, the research and reports on the ANKRD17 gene are limited.

Case presentation

Trio whole exome sequencing (Trio-WES) was conducted on the proband and his unaffected parents to elucidate the genetic etiology in the proband, who was clinically diagnosed with developmental delay and other phenotypes. Subsequently, Sanger sequencing was employed for validation of the identified candidate variant. Furthermore, RNA analysis was utilized to ascertain the impact of the variant on splicing. The WES revealed a novel heterozygous ANKRD17 splicing variant (c.7248 + 1G>A) in the proband, but not detected in his unaffected parents. And the presence of the splicing variant of the ANKRD17 gene was valided by the Sanger sequencing subsequently. And the RNA analysis confirmed that the novel variant was predicted to result in loss of donor splice site, and the analysis at mRNA level confirmed that it leads to exon 32 skipping (r.7100_7278del179) and causes premature termination of translation to the protein (p.D2357fs), therefore is classified as pathogenic.

Conclusion

Our study reported a novel splicing variant in ANKRD17 gene, which may be associated with partial eating, frequent urination, and tic syndrome. This finding expands both the phenotypic and genotypic spectrum of ANKRD17 gene. Although there is currently no curative therapy available for ANKRD17 gene variants, a definitive diagnosis of its genetic etiology is significant for genetic counseling and family planning purposes. Furthermore, this is the first reported case of the ANKRD17 gene in China.

O-GlcNAc transferase congenital disorder of glycosylation (OGT-CDG): Potential mechanistic targets revealed by evaluating the OGT interactome

O-GlcNAc transferase (OGT) is the sole enzyme responsible for the post-translational modification of O-GlcNAc on thousands of target nucleocytoplasmic proteins. To date, nine variants of OGT that segregate with OGT Congenital Disorder of Glycosylation (OGT-CDG) have been reported and characterized. Numerous additional variants have been associated with OGT-CDG, some of which are currently undergoing investigation. This disorder primarily presents with global developmental delay and intellectual disability (ID), alongside other variable neurological features and subtle facial dysmorphisms in patients. Several hypotheses aim to explain the etiology of OGT-CDG, with a prominent hypothesis attributing the pathophysiology of OGT-CDG to mutations segregating with this disorder disrupting the OGT interactome. The OGT interactome consists of thousands of proteins, including substrates as well as interactors that require noncatalytic functions of OGT. A key aim in the field is to identify which interactors and substrates contribute to the primarily neural-specific phenotype of OGT-CDG. In this review, we will discuss the heterogenous phenotypic features of OGT-CDG seen clinically, the variable biochemical effects of mutations associated with OGT-CDG, and the use of animal models to understand this disorder. Furthermore, we will discuss how previously identified OGT interactors causal for ID provide mechanistic targets for investigation that could explain the dysregulated gene expression seen in OGT-CDG models. Identifying shared or unique altered pathways impacted in OGT-CDG patients will provide a better understanding of the disorder as well as potential therapeutic targets.

Single-cell genomics and regulatory networks for 388 human brains

Single-cell genomics is a powerful tool for studying heterogeneous tissues such as the brain. Yet little is understood about how genetic variants influence cell-level gene expression. Addressing this, we uniformly processed single-nuclei, multiomics datasets into a resource comprising >2.8 million nuclei from the prefrontal cortex across 388 individuals. For 28 cell types, we assessed population-level variation in expression and chromatin across gene families and drug targets. We identified >550,000 cell type-specific regulatory elements and >1.4 million single-cell expression quantitative trait loci, which we used to build cell-type regulatory and cell-to-cell communication networks. These networks manifest cellular changes in aging and neuropsychiatric disorders. We further constructed an integrative model accurately imputing single-cell expression and simulating perturbations; the model prioritized ~250 disease-risk genes and drug targets with associated cell types.

Ocular manifestations in a cohort of 43 patients with KBG syndrome

Ophthalmological conditions are underreported in patients with KBG syndrome, which is classically described as presenting with dental, developmental, intellectual, skeletal, and craniofacial abnormalities. This study analyzed the prevalence of four ophthalmological conditions (strabismus, astigmatism, myopia, hyperopia) in 43 patients with KBG syndrome carrying variants in ANKRD11 or deletions in 16q24.3 and compared it to the literature. Forty-three patients were recruited via self-referral or a private Facebook group hosted by the KBG Foundation, with 40 of them having pathogenic or likely pathogenic variants. Virtual interviews were conducted to collect a comprehensive medical history verified by medical records. From these records, data analysis was performed to calculate the prevalence of ophthalmological conditions. Out of the 40 participants with pathogenic or likely pathogenic variants, strabismus was reported in 9 (22.5%) participants, while astigmatism, myopia, and hyperopia were reported in 11 (27.5%), 6 (15.0%), and 8 (20.0%) participants, respectively. Other reported conditions include anisometropia, amblyopia, and nystagmus. When compared to the literature, the prevalence of strabismus and refractive errors is higher than other studies. However, more research is needed to determine if variants in ANKRD11 play a role in abnormal development of the visual system. In patients with established KBG syndrome, screening for misalignment or refractive errors should be done, as interventions in patients with these conditions can improve functioning and quality of life.

Single-cell genomics and regulatory networks for 388 human brains

Single-cell genomics is a powerful tool for studying heterogeneous tissues such as the brain. Yet, little is understood about how genetic variants influence cell-level gene expression. Addressing this, we uniformly processed single-nuclei, multi-omics datasets into a resource comprising >2.8M nuclei from the prefrontal cortex across 388 individuals. For 28 cell types, we assessed population-level variation in expression and chromatin across gene families and drug targets. We identified >550K cell-type-specific regulatory elements and >1.4M single-cell expression-quantitative-trait loci, which we used to build cell-type regulatory and cell-to-cell communication networks. These networks manifest cellular changes in aging and neuropsychiatric disorders. We further constructed an integrative model accurately imputing single-cell expression and simulating perturbations; the model prioritized ~250 disease-risk genes and drug targets with associated cell types.

Antenatal description of large 4q13.2q21.23 deletion and outcomes

BACKGROUND

4q21 microdeletion syndrome is an emergent non-recurrent genomic disorder characterized by facial dysmorphy, progressive growth retardation, severe intellectual deficit, and absent or severely delayed speech. Deletions occur in clusters along 4q interstitial or terminal regions. 4q chromosomal aberrations are variable in type, size, and breakpoint. Genotype-phenotype correlation is a challenging task. The recurrent antenatal feature associated a posteriori with this syndrome is intrauterine growth retardation. There are very few precise antenatal descriptions of this syndrome.

METHODS

We report here the first antenatal history of one of the largest deletion of this region.

RESULTS

Our case harbored a 16.9 Mb deletion encompassing 135 protein coding genes including 20 OMIM morbid genes involved in neurological and cognitive abilities. Those breakpoints overlap two clusters of described microdeletion syndromes of cytogenetic band 4q13 and 4q21.

CONCLUSION

From the end of the second trimester, set of call signs associated with this syndrome can be completed by: excess of amniotic fluid, mild growth retardation, short long bones, bony anomalies of the extremities, and bulging cheeks. So, emphasis should be placed on the examination of the extremities, and the face during the routine targeted prenatal ultrasound.

A case of Chopra-Amiel-Gordon syndrome with a novel heterozygous variant in the ANKRD17 gene: A case report

Chopra-Amiel-Gordon syndrome (OMIM: 619504) is an autosomal dominant neurodevelopmental disorder characterized by developmental delay, intellectual disability, speech delay, epilepsy, dysmorphic craniofacial features, ophthalmological abnormalities, and recurrent infections. It is caused by heterozygous loss-of-function pathogenic variants in the ANKRD17 gene, which codes for an ankyrin repeat-containing protein. Currently, about 35 cases of Chopra-Amiel-Gordon syndrome are described in the medical literature. We report on a 4-year-old female patient with a novel heterozygous variant in the ANKRD17 gene.

An update on the role of Hippo signaling pathway in ischemia-associated central nervous system diseases

The most frequent reason of morbidity and mortality in the world, cerebral ischemia sets off a chain of molecular and cellular pathologies that associated with some central nervous system (CNS) disorders mainly including ischemic stroke, Alzheimer's disease (AD), Parkinson's disease (PD), epilepsy and other CNS diseases. In recent times, despite significant advancements in the treatment of the pathological processes underlying various neurological illnesses, effective therapeutic approaches that are specifically targeted to minimizing the damage of such diseases remain absent. Hippo signaling pathway, characterized by enzyme linked reactions between MSTI/2, LAST1/2, and YAP or TAZ proteins, controls cell division, survival, and differentiation, as well as being engaged in a variety of biological activities, such as the development and transformation of the nervous system. Recently, accumulating studies demonstrated that Hippo pathway takes part in the processes of ischemic stroke, AD, PD, etc., including but not limited to oxidative stress, inflammatory response, blood-brain barrier damage, mitochondrial disorders, and neural cells death. Thus, it's crucial to understand the molecular basis of the Hippo signaling pathway for determining potential new therapeutic targets against ischemia-associated CNS diseases. Here, we discuss latest advances in the deciphering of the Hippo signaling pathway and highlight the therapeutic potential of targeting the pathway in treating ischemia-associated CNS diseases.

AutoCaSc: Prioritizing candidate genes for neurodevelopmental disorders

Routine exome sequencing (ES) in individuals with neurodevelopmental disorders (NDD) remains inconclusive in >50% of the cases. Research analysis of unsolved cases can identify novel candidate genes but is time-consuming, subjective, and hard to compare between labs. The field, therefore, requires automated and standardized assessment methods to prioritize candidates for matchmaking. We developed AutoCaSc (https://autocasc.uni-leipzig.de) based on our candidate scoring scheme. We validated our approach using synthetic trios and real in-house trio ES data. AutoCaSc consistently (94.5% of all cases) scored the relevant variants in valid novel NDD genes in the top three ranks. In 93 real trio exomes, AutoCaSc identified most (97.5%) previously manually scored variants while evaluating additional high-scoring variants missed in manual evaluation. It identified candidate variants in previously undescribed NDD candidate genes (CNTN2, DLGAP1, SMURF1, NRXN3, and PRICKLE1). AutoCaSc enables anybody to quickly screen a variant for its plausibility in NDD. After contributing >40 descriptions of NDD-associated genes, we provide usage recommendations based on our extensive experience. Our implementation is capable of pipeline integration and therefore allows the screening of large cohorts for candidate genes. AutoCaSc empowers even small labs to a standardized matchmaking collaboration and to contribute to the ongoing identification of novel NDD entities.

Prenatal isolated clubfoot increases the risk for clinically significant exome sequencing results

OBJECTIVE

To examine the diagnostic yield of exome sequencing (ES) in singleton pregnancies with isolated fetal clubfoot.

METHODS

Clinical data from singleton pregnancies with a sonographic diagnosis of isolated clubfoot and ES results between 2018 and 2021 were retrospectively obtained from a single referral medical center. The recorded data include maternal age, gestational age at sonographic diagnosis, the indication for genetic testing, ES results, and pregnancy outcomes.

RESULTS

During the study period, 38 fetuses were prenatally diagnosed with isolated clubfoot by ultrasound and underwent ES after the copy number variant analysis was non-diagnostic. Through the trio-ES analysis, pathogenic or likely pathogenic variants were detected in 4 of 38 (10.5%) with the following genes: BRPF1, ANKRD17, FLNA, and KIF1A. All are de novo with three of autosomal dominant inheritance and one of X-linked recessive inheritance.

CONCLUSION

Sonographic diagnosis of clubfoot, even isolated, increases the risk for monogenic syndromes. Exome sequencing should be an option for genetic investigation for such pregnancies.

Neonatal Aneurysm Rupture in a Child with a De Novo Variant to ANKRD17

Ankyrin repeat domain 17 (ANKRD17) is postulated to play a role in the integrity of blood vessels and has been reported to be associated with developmental delays, epilepsy, and growth restriction. Whereas ANKRD17-deficient mice have been demonstrated to experience catastrophic hemorrhages, vascular malformations have not been reported in human patients with pathogenic variants to ANKRD17. We report a term male neonate with a heterozygous de novo variant to ANKRD17 (ANKRD17; c6988 C > G, P.[P2330a]) who experienced subarachnoid hemorrhage from a ruptured aneurysm involving the left middle cerebral artery. He experienced acute symptomatic seizures and required clipping of his aneurysm at 35 days of life, later progressing to developing multifocal drug-resistant epilepsy. To our knowledge, this case represents the first report of a cerebrovascular malformation from a patient with ANKRD17. Further work is needed to investigate whether pathogenic variants to ANKRD17 can lead to cerebral aneurysms or other cerebrovascular malformations in children.

Phenotype-driven approaches to enhance variant prioritization and diagnosis of rare disease

Rare disease diagnostics and disease gene discovery have been revolutionized by whole-exome and genome sequencing but identifying the causative variant(s) from the millions in each individual remains challenging. The use of deep phenotyping of patients and reference genotype-phenotype knowledge, alongside variant data such as allele frequency, segregation, and predicted pathogenicity, has proved an effective strategy to tackle this issue. Here we review the numerous tools that have been developed to automate this approach and demonstrate the power of such an approach on several thousand diagnosed cases from the 100,000 Genomes Project. Finally, we discuss the challenges that need to be overcome if we are going to improve detection rates and help the majority of patients that still remain without a molecular diagnosis after state-of-the-art genomic interpretation.

A gene-to-patient approach uplifts novel disease gene discovery and identifies 18 putative novel disease genes

PURPOSE

Exome and genome sequencing have drastically accelerated novel disease gene discoveries. However, discovery is still hindered by myriad variants of uncertain significance found in genes of undetermined biological function. This necessitates intensive functional experiments on genes of equal predicted causality, leading to a major bottleneck.

METHODS

We apply the loss-of-function observed/expected upper-bound fraction metric of intolerance to gene inactivation to curate a list of predicted haploinsufficient disease genes. Using data from the 100,000 Genomes Project, we adopt a gene-to-patient approach that matches de novo loss-of-function variants in constrained genes to patients with rare disease. Through large-scale aggregation of data, we reduce excess analytical noise currently hindering novel discoveries.

RESULTS

Results from 13,949 trios revealed 643 rare, de novo predicted loss-of-function events filtered from 1044 loss-of-function observed/expected upper-bound fraction-constrained genes. A total of 168 variants occurred within 126 genes without a known disease-gene relationship. Of these, 27 genes had >1 kindred affected, and for 18 of these genes, multiple kindreds had overlapping phenotypes. Two years after initial analysis, 11 of 18 (61%) of these genes have been independently published as novel disease gene discoveries.

CONCLUSION

Using large cohorts and adopting gene-based approaches can rapidly and objectively accelerate dominantly inherited novel gene discovery by targeting the most appropriate genes for functional validation.

Recurrent de novo single point variant on the gene encoding Na+/K+ pump results in epilepsy

The etiology of epilepsy remains undefined in two-thirds of patients. Here, we identified a de novo variant of ATP1A2 (c.2426 T > G, p.Leu809Arg), which encodes the α2 subunit of Na⁺/K⁺-ATPase^, from a family with idiopathic epilepsy. This variant caused epilepsy with hemiplegic migraine in the study patients. We generated the point variant mouse model Atp1a2^L809R, which recapitulated the epilepsy observed in the study patients. In Atp1a2^L809R/WT mice, convulsions were observed and cognitive and memory function was impaired. This variant affected the potassium binding function of the protein, disabling its ion transport ability, thereby increasing the frequency of nerve impulses. Valproate (VPA) and Carbamazepine (CBZ) have limited therapeutic efficacy in ameliorating the epileptic syndromes of Atp1a2^L809R/WT mice. Our work revealed that ATP1A2^L809R variants cause a predisposition to epilepsy. Moreover, we provide a point variant mouse model for epilepsy research and drug screening.

A framework to score the effects of structural variants in health and disease

While technological advances improved the identification of structural variants (SVs) in the human genome, their interpretation remains challenging. Several methods utilize individual mechanistic principles like the deletion of coding sequence or 3D genome architecture disruptions. However, a comprehensive tool using the broad spectrum of available annotations is missing. Here, we describe CADD-SV, a method to retrieve and integrate a wide set of annotations to predict the effects of SVs. Previously, supervised learning approaches were limited due to a small number and biased set of annotated pathogenic or benign SVs. We overcome this problem by using a surrogate training-objective, the Combined Annotation Dependent Depletion (CADD) of functional variants. We use human and chimpanzee derived SVs as proxy-neutral and contrast them with matched simulated variants as proxy-deleterious, an approach that has proven powerful for short sequence variants. Our tool computes summary statistics over diverse variant annotations and uses random forest models to prioritize deleterious structural variants. The resulting CADD-SV scores correlate with known pathogenic and rare population variants. We further show that we can prioritize somatic cancer variants as well as noncoding variants known to affect gene expression. We provide a website and offline-scoring tool for easy application of CADD-SV.