6q25.1 (TAB2) microdeletion is a risk factor for hypoplastic left heart: a case report that expands the phenotype

Myxomatous degeneration of cardiac valves in a fetus with 6q25.1 (TAB2) deletion

Myxomatous degeneration of one or more cardiac valves has been reported in trisomy 18, Noonan, Marfan, and Ehlers-Danlos syndromes. 6q25.1 (TAB2) deletion is one of the notable causes for myxomatous degeneration of cardiac valves. Whole exome sequencing must be considered in these subsets of cases for effective prenatal counselling. A 23-week fetus presented with cardiomegaly, redundant myxomatous tricuspid, mitral valve leaflets, thickened pulmonary valve, and bicuspid aortic valves detected to have 6q25.1 (TAB2) deletion was presented with literature review.

[Association Between TAB2 Gene Polymorphisms and Susceptibility to Cryptorchidism in Han Chinese Population in Southwest China]

Objective

To conduct preliminary investigation into the correlation between transforming growth factor beta-activated protein kinase 1-binding protein 2 ( TAB2) gene and the incidence of cryptorchidism in Han Chinese population in Southwest China.

Methods

A total of 259 patients with cryptorchidism and 355 healthy controls from Southwest China were enrolled for the study. Polymerase chain reaction-restriction fragment length polymorphism method was used to analyze the genotype of the 3 tag single nucleotide polymorphisms (SNPs) of TAB2 gene, i.e., rs237028, rs521845 and rs652921. The Chi-square test was used to analyze the relationship between the genotype frequency of the three tag SNPs and the incidence of cryptorchidism.

Results

The distribution of the 3 tag SNPs' alleles and genotypes were in agreement with the Hardy-Weinberg equilibrium, and the genotype results of polymerase chain reaction-restriction fragment length polymorphism assay were consistent with those of Sanger sequencing. The frequency of the G allele at TAB 2 rs237028 was significantly higher in the cryptorchidism group than that in the control group (30.9% vs. 25.6%, P=0.04, OR=1.31, 95% CI: 1.01-1.70). In the dominant model, the risk of cryptorchidism was significantly higher in AG/GG genotype carriers ( P=0.006, OR=1.57, 95% CI: 1.14-2.17). In the cryptorchidism group, the TC/CC genotype frequency of the rs652921 locus were significantly higher than that of the control group (75.3% vs. 67.0%, P=0.03, OR=1.50, 95% CI: 1.05-2.14). Correlation between rs521845 and susceptibility to cryptorchidism was not observed in the Han Chinese population.

Conclusion

The AG/GG genotype of rs237028 locus and the TC/CC genotype of rs652921 locus of the TAB2 gene may be associated with increased risks of cryptorchidism in Han Chinese population in southwest China.

There is more to it than just congenital heart defects - The phenotypic spectrum of TAB2-related syndrome

BACKGROUND

Congenital heart defects (CHD) are the most common birth defect and disease-causing variant in TAB2 have found to be associated with isolated CHD. Recently, it became evident that pathogenic, mostly loss-of-function variants in TAB2 can also cause syndromic CHD that includes connective tissue anomalies. The number of published cases is limited posing a challenge for counseling affected patients and their relatives.

METHODS

Cases in whom whole exome sequencing was executed at our institute between January 2015 and June 2021 were screened for disease-causing variants in TAB2. Additionally, a PubMed-based review of the literature was performed in December 2021 in order to give an updated clinical overview of the TAB2-associated phenotypic spectrum, including our cases.

RESULTS

We identified three cases with syndromic CHD caused by different heterozygous loss-of-function variants in TAB2. In one of these cases, the variant was inherited by a healthy father. A comparison with published cases highlights that most patients were affected by structural and/or arrhythmic heart disease (about 90%) while about two third of all cases had syndromic comorbidity especially connective tissue defects and dysmorphic abnormalities.

CONCLUSION

Our findings indicate a variable expressivity as well as reduced penetrance of TAB2-associated CHD. Disease-causing variants in TAB2 should be considered in cases with isolated CHD but also in syndromic CHD with connective tissue abnormalities. However, prediction of the patients' clinical outcome solely based on the variant in TAB2 is still extremely challenging.

Delving into the Molecular World of Single Ventricle Congenital Heart Disease

PURPOSE OF REVIEW

Given a general lack of emphasis on the molecular underpinnings of single ventricle (SV) congenital heart diseases (CHD), our review highlights and summarizes recent advances in uncovering the genetic and molecular mechanisms in SV CHD etiology.

RECENT FINDINGS

While common SV-associated genetic mutations were found in key cardiac transcription factors, other mutations were sporadic. With advances in genetic sequencing technologies and animal models, more disease-associated factors have been identified to act in critical cardiac signaling pathways such as NOTCH, Wnt, and TGF signaling. Recent studies have also revealed that different cardiac lineages play different roles in disease pathogenesis. SV defects are attributed to complex combinations of genetic mutations, indicating that sophisticated spatiotemporal regulation of gene transcription networks and functional cellular pathways govern disease progression. Future studies will warrant in-depth investigations into better understanding how different genetic factors converge to influence common downstream cellular pathways, resulting in SV abnormalities.

Cardiomyopathies in Children and Systemic Disorders When Is It Useful to Look beyond the Heart?

Cardiomyopathy (CMP) is a rare disease in the pediatric population, with a high risk of morbidity and mortality. The genetic etiology of CMPs in children is extremely heterogenous. These two factors play a major role in the difficulties of establishing standard diagnostic and therapeutic protocols. Isolated CMP in children is a frequent finding, mainly caused by sarcomeric gene variants with a detection rate that can reach up to 50% of analyzed cohorts. Complex multisystemic forms of pediatric CMP are even more heterogenous. Few studies in literature take into consideration this topic as the main core since it represents a rarity (systemic CMP) within a rarity (pediatric population CMP). Identifying etiology in this cohort is essential for understanding prognosis, risk stratification, eligibility to heart transplantation and/or mechanical-assisted procedures, preventing multiorgan complications, and relatives' recurrence risk calculation. The previous points represent a cornerstone in patients' empowerment and personalized medical care approach. The aim of this work is to propose a new approach for an algorithm in the setting of the diagnostic framework of systemic pediatric CMP. On the other hand, during the literature review, we noticed a relatively common etiologic pattern in some forms of complex/multisystem CMP. In other words, certain syndromes such as Danon, Vici, Alström, Barth, and Myhre syndrome share a common pathway of directly or indirectly defective "autophagy" process, which appears to be a possible initiating/triggering factor for CMPs. This conjoint aspect could be important for possible prognostic/therapeutic implications in this category of patients. However, multicentric studies detailed functional and experimental models are needed prior to deriving conclusions.

Genetics in Congenital Heart Diseases: Unraveling the Link Between Cardiac Morphogenesis, Heart Muscle Disease, and Electrical Disorders

The genetic background of congenital heart diseases (CHDs) is extremely complex, heterogenous, and still majorly to be determined. CHDs can be sporadic or familial. In this article we discuss in detail the phenotypic spectrum of selected genes including MYH7, GATA4, NKX2-5, TBX5, and TBX20. Our goal is to offer the clinician a general overview of the clinical spectrum of the analyzed topics that are traditionally known as causative for CHDs but we underline in this review the possible progressive functional (cardiomyopathy) and electric aspects (arrhythmias) caused by the genetic background.

TAB2 deletions and variants cause a highly recognisable syndrome with mitral valve disease, cardiomyopathy, short stature and hypermobility

Deletions that include the gene TAB2 and TAB2 loss-of-function variants have previously been associated with congenital heart defects and cardiomyopathy. However, other features, including short stature, facial dysmorphisms, connective tissue abnormalities and a variable degree of developmental delay, have only been mentioned occasionally in literature and thus far not linked to TAB2. In a large-scale, social media-based chromosome 6 study, we observed a shared phenotype in patients with a 6q25.1 deletion that includes TAB2. To confirm if this phenotype is caused by haploinsufficiency of TAB2 and to delineate a TAB2-related phenotype, we subsequently sequenced TAB2 in patients with matching phenotypes and recruited patients with pathogenic TAB2 variants detected by exome sequencing. This identified 11 patients with a deletion containing TAB2 (size 1.68-14.31 Mb) and 14 patients from six families with novel truncating TAB2 variants. Twenty (80%) patients had cardiac disease, often mitral valve defects and/or cardiomyopathy, 18 (72%) had short stature and 18 (72%) had hypermobility. Twenty patients (80%) had facial features suggestive for Noonan syndrome. No substantial phenotypic differences were noted between patients with deletions and those with intragenic variants. We then compared our patients to 45 patients from the literature. All literature patients had cardiac diseases, but syndromic features were reported infrequently. Our study shows that the phenotype in 6q25.1 deletions is caused by haploinsufficiency of TAB2 and that TAB2 is associated not just with cardiac disease, but also with a distinct phenotype, with features overlapping with Noonan syndrome. We propose the name "TAB2-related syndrome".

Cox-sMBPLS: An Algorithm for Disease Survival Prediction and Multi-Omics Module Discovery Incorporating Cis-Regulatory Quantitative Effects

Background

The development of high-throughput techniques has enabled profiling a large number of biomolecules across a number of molecular compartments. The challenge then becomes to integrate such multimodal Omics data to gain insights into biological processes and disease onset and progression mechanisms. Further, given the high dimensionality of such data, incorporating prior biological information on interactions between molecular compartments when developing statistical models for data integration is beneficial, especially in settings involving a small number of samples.

Results

We develop a supervised model for time to event data (e.g., death, biochemical recurrence) that simultaneously accounts for redundant information within Omics profiles and leverages prior biological associations between them through a multi-block PLS framework. The interactions between data from different molecular compartments (e.g., epigenome, transcriptome, methylome, etc.) were captured by using cis-regulatory quantitative effects in the proposed model. The model, coined Cox-sMBPLS, exhibits superior prediction performance and improved feature selection based on both simulation studies and analysis of data from heart failure patients.

Conclusion

The proposed supervised Cox-sMBPLS model can effectively incorporate prior biological information in the survival prediction system, leading to improved prediction performance and feature selection. It also enables the identification of multi-Omics modules of biomolecules that impact the patients’ survival probability and also provides insights into potential relevant risk factors that merit further investigation.

Integrative analysis of genomic variants reveals new associations of candidate haploinsufficient genes with congenital heart disease

Numerous genetic studies have established a role for rare genomic variants in Congenital Heart Disease (CHD) at the copy number variation (CNV) and de novo variant (DNV) level. To identify novel haploinsufficient CHD disease genes, we performed an integrative analysis of CNVs and DNVs identified in probands with CHD including cases with sporadic thoracic aortic aneurysm. We assembled CNV data from 7,958 cases and 14,082 controls and performed a gene-wise analysis of the burden of rare genomic deletions in cases versus controls. In addition, we performed variation rate testing for DNVs identified in 2,489 parent-offspring trios. Our analysis revealed 21 genes which were significantly affected by rare CNVs and/or DNVs in probands. Fourteen of these genes have previously been associated with CHD while the remaining genes (FEZ1, MYO16, ARID1B, NALCN, WAC, KDM5B and WHSC1) have only been associated in small cases series or show new associations with CHD. In addition, a systems level analysis revealed affected protein-protein interaction networks involved in Notch signaling pathway, heart morphogenesis, DNA repair and cilia/centrosome function. Taken together, this approach highlights the importance of re-analyzing existing datasets to strengthen disease association and identify novel disease genes and pathways.

Exploration and validation of hub genes and pathways in the progression of hypoplastic left heart syndrome via weighted gene co-expression network analysis

Background

Despite significant progress in surgical treatment of hypoplastic left heart syndrome (HLHS), its mortality and morbidity are still high. Little is known about the molecular abnormalities of the syndrome. In this study, we aimed to probe into hub genes and key pathways in the progression of the syndrome.

Methods

Differentially expressed genes (DEGs) were identified in left ventricle (LV) or right ventricle (RV) tissues between HLHS and controls using the GSE77798 dataset. Then, weighted gene co-expression network analysis (WGCNA) was performed and key modules were constructed for HLHS. Based on the genes in the key modules, protein–protein interaction networks were conducted, and hub genes and key pathways were screened. Finally, the GSE23959 dataset was used to validate hub genes between HLHS and controls.

Results

We identified 88 and 41 DEGs in LV and RV tissues between HLHS and controls, respectively. DEGs in LV tissues of HLHS were distinctly involved in heart development, apoptotic signaling pathway and ECM receptor interaction. DEGs in RV tissues of HLHS were mainly enriched in BMP signaling pathway, regulation of cell development and regulation of blood pressure. A total of 16 co-expression network were constructed. Among them, black module (r = 0.79 and p value = 2e−04) and pink module (r = 0.84 and p value = 4e−05) had the most significant correlation with HLHS, indicating that the two modules could be the most relevant for HLHS progression. We identified five hub genes in the black module (including Fbn1, Itga8, Itga11, Itgb5 and Thbs2), and five hub genes (including Cblb, Ccl2, Edn1, Itgb3 and Map2k1) in the pink module for HLHS. Their abnormal expression was verified in the GSE23959 dataset.

Conclusions

Our findings revealed hub genes and key pathways for HLHS through WGCNA, which could play key roles in the molecular mechanism of HLHS.

Genetic association study between TAB2 polymorphisms and noise-induced-hearing-loss in a Han Chinese population

Noise-induced-hearing-loss(NIHL) is a common occupational disease caused by various environmental and biological factors. To investigate the association between TAB2 and the susceptibility of NIHL of people exposed to occupational environments, a genetic association study was performed on selected companies with 588 cases and 537 healthy control subjects. Five selected single nucleotide polymorphisms (SNPs) in TAB2,incoluding rs2744434, rs521845, rs652921, rs7896, rs9485372, were genotyped after a collection of DNA samples. Evident differences in participants between the case group and the control group reveals the result that people with the TAB2 has a high probability of getting NIHL. The results show that rs521845 is deeply associated with the risk of NIHL and is available for the diagnosis in the future.