Autism Genetics

With autism there are so many questions. Researchers, educators, family members, and individuals with autism ask questions about the disorder. What causes the disorder? What are the outcomes? What does an autism diagnosis mean in terms of quality of life? Along with these practical questions, most individuals and families will also ask, “Why?” Why does one person have autism and not another? We are fortunate to be living in the 21st century where many elite researchers have developed answers to these questions and even answers, “Why?” In fact, many researchers are beginning to identify that there is a genetic component to autism. The following chapter will discuss a brief overview of critical historical research studies illuminating the relationship between autism and genetics.

Decreased retinal vascular complexity is an early biomarker of MI supported by a shared genetic control.

There is increasing evidence that the complexity of the retinal vasculature (measured as fractal dimension, Df) might offer earlier insights into the progression of coronary artery disease (CAD) before traditional biomarkers can be detected. This association could be partly explained by a common genetic basis; however, the genetic component of Df is poorly understood. We present here a genome-wide association study (GWAS) aimed to elucidate the genetic component of Df and to analyse its relationship with CAD. To this end, we obtained Df from retinal fundus images and genotyping information from ~38,000 white-British participants in the UK Biobank. We discovered 9 loci associated with Df, previously reported in pigmentation, retinal width and tortuosity, hypertension, and CAD studies. Significant negative genetic correlation estimates endorse the inverse relationship between Df and CAD, and between Df and myocardial infarction (MI), one of CAD fatal outcomes. This strong association motivated us to developing a MI predictive model combining clinical information, Df, a CAD polygenic risk score and using a random forest algorithm. Internal cross validation evidenced a considerable improvement in the area under the curve (AUC) of our predictive model (AUC=0.770) when comparing with an established risk model, SCORE, (AUC=0.719). Our findings shed new light on the genetic basis of Df, unveiling a common control with CAD, and highlights the benefits of its application in individualised MI risk prediction.

Dilated cardiomyopathy associated with a mutation in the dispatched RND transporter family member 1 gene

Dilated cardiomyopathy is the most common presentation of cardiomyopathy in children with 20–35% of patients having an identified genetic component. There are more than 30 genes implicated in the pathogenesis of dilated cardiomyopathy. We present the first report of a female infant with dilated cardiomyopathy with a genetic variant in the dispatched RND transporter family member 1 gene.

Association Analysis of GDF5 and Contributing Factors in Developmental Dysplasia of the Hip in Infants

Background. Developmental dysplasia of the hip (DDH) is a developmental disorder which is reported to be associated with hip instability. When untreated, it can lead to irreversible joint damage. DDH is known to be a multifactorial disease involving genetic, mechanical and environmental factors. The greatest causative potential is attributed to the genetic component. Growth Differentiation Factor 5 (GDF5) is among the most studied genes associated with processes of regeneration and maintenance of joints. The aim of this work was to analyse the association of SNP rs143383 in the GDF5 gene and the occurrence of DDH, along with association with various contributing factors in the Caucasian population. Material and methods. A total of 118 samples were analysed for the presence of the mutation. DNA was isolated from all individuals from peripheral blood. SNP rs143383 in the GDF5 gene was genotyped using the TaqMan assay. A standard chi-square test was used to compare allele and genotype distributions in patients and healthy controls. Results. The association analysis of genotypes of DDH and rs143383 revealed a significant association. Also, the association of GDF5 and selected contributing factors was statistically significant in female gender (p=0.002), family history (p<0.001), count of pregnancy (p=0.009), laterality of hip involvement and initial US examination. Conclusions. 1. The results indicate an important effect of rs143383 polymorphism in the GDF5 gene on DDH development. 2. However, our results also suggest that rs143383 is not the only contributing factor in the genetic component of DDH.

COVID-19 in twins: What can we learn from them

Investigations on the concordance in monozygotic (MZ) as compared to dizygotic (DZ) twins may reveal if there is a genetic component increasing the susceptibility or resistance against an infectious disease. Here, we compared the concordance rates of SARS-CoV-2 infection in MZ versus DZ young twins who shared the same bedrooms and were equally exposed to the virus. The concordance rate was higher in the MZ group supporting a complex multifactorial inheritance responsible for SARS-Cov-2 infection.

Transcriptome-Wide Association Study Provides Insights Into the Genetic Component of Gene Expression in Anxiety

Anxiety disorders are common mental disorders that often result in disability. Recently, large-scale genome-wide association studies (GWASs) have identified several novel risk variants and loci for anxiety disorders (or anxiety traits). Nevertheless, how the reported risk variants confer risk of anxiety remains unknown. To identify genes whose cis-regulated expression levels are associated with risk of anxiety traits, we conducted a transcriptome-wide association study (TWAS) by integrating genome-wide associations from a large-scale GWAS (N = 175,163) (which evaluated anxiety traits based on Generalized Anxiety Disorder 2-item scale (GAD-2) score) and brain expression quantitative trait loci (eQTL) data (from the PsychENCODE and GTEx). We identified 19 and 17 transcriptome-wide significant (TWS) genes in the PsychENCODE and GTEx, respectively. Intriguingly, 10 genes showed significant associations with anxiety in both datasets, strongly suggesting that genetic risk variants may confer risk of anxiety traits by regulating the expression of these genes. Top TWS genes included RNF123, KANSL1-AS1, GLYCTK, CRHR1, DND1P1, MAPT and ARHGAP27. Of note, 25 TWS genes were not implicated in the original GWAS. Our TWAS identified 26 risk genes whose cis-regulated expression were significantly associated with anxiety, providing important insights into the genetic component of gene expression in anxiety disorders/traits and new clues for future drug development.

Evidence That the Etiology of Congenital Hypopituitarism Has a Major Genetic Component but Is Infrequently Monogenic

PurposeCongenital hypopituitarism usually occurs sporadically. In most patients, the etiology remains unknown.MethodsWe studied 13 children with sporadic congenital hypopituitarism. Children with non-endocrine, non-familial idiopathic short stature (NFSS) (n = 19) served as a control group. Exome sequencing was performed in probands and both unaffected parents. A burden testing approach was used to compare the number of candidate variants in the two groups.ResultsFirst, we assessed the frequency of rare, predicted-pathogenic variants in 42 genes previously reported to be associated with pituitary gland development. The average number of variants per individual was greater in probands with congenital hypopituitarism than those with NFSS (1.1 vs. 0.21, mean variants/proband, P = 0.03). The number of probands with at least 1 variant in a pituitary-associated gene was greater in congenital hypopituitarism than in NFSS (62% vs. 21%, P = 0.03). Second, we assessed the frequency of rare, predicted-pathogenic variants in the exome (to capture undiscovered causes) that were inherited in a fashion that could explain the sporadic occurrence of the proband’s condition with a monogenic etiology (de novo mutation, autosomal recessive, or X-linked recessive) with complete penetrance. There were fewer monogenic candidates in the probands with congenital hypopituitarism than those with NFSS (1.3 vs. 2.5 candidate variants/proband, P = 0.024). We did not find any candidate variants (0 of 13 probands) in genes previously reported to explain the phenotype in congenital hypopituitarism, unlike NFSS (8 of 19 probands, P = 0.01).ConclusionOur findings provide evidence that the etiology of sporadic congenital hypopituitarism has a major genetic component but may be infrequently monogenic with full penetrance, suggesting a more complex etiology.