Molecular Diagnostics of Ciliopathies and Insights Into Novel Developments in Diagnosing Rare Diseases.

The definition of a rare disease in the European Union describes genetic disorders that affect less than 1 in 2,000 people per individual disease; collectively these numbers amount to millions of individuals globally, who usually manifest a rare disease early on in life. At present, there are at least 8,000 known rare conditions, of which only some are clearly molecularly defined. Over the recent years, the use of genetic diagnosis is gaining ground into informing clinical practice, particularly in the field of rare diseases, where diagnosis is difficult. To demonstrate the complexity of genetic diagnosis for rare diseases, we focus on Ciliopathies as an example of a group of rare diseases where an accurate diagnosis has proven a challenge and novel practices driven by scientists are needed to help bridge the gap between clinical and molecular diagnosis. Current diagnostic difficulties lie with the vast multitude of genes associated with Ciliopathies and trouble in distinguishing between Ciliopathies presenting with similar phenotypes. Moreover, Ciliopathies such as Autosomal Recessive Polycystic Kidney Disease (ARPKD) and Meckel-Gruber syndrome (MKS) present with early phenotypes and may require the analysis of samples from foetuses with a suspected Ciliopathy. Advancements in Next Generation Sequencing (NGS) have now enabled assessing a larger number of target genes, to ensure an accurate diagnosis. The aim of this review is to provide an overview of current diagnostic techniques relevant to Ciliopathies and discuss the applications and limitations associated with these techniques.

A chronological expression profile of gene activity during embryonic mouse brain development.

The brain is a functionally complex organ, the patterning and development of which are key to adult health. To help elucidate the genetic networks underlying mammalian brain patterning, we conducted detailed transcriptional profiling during embryonic development of the mouse brain. A total of 2,400 genes were identified as showing differential expression between three developmental stages. Analysis of the data identified nine gene clusters to demonstrate analogous expression profiles. A significant group of novel genes of as yet undiscovered biological function were detected as being potentially relevant to brain development and function, in addition to genes that have previously identified roles in the brain. Furthermore, analysis for genes that display asymmetric expression between the left and right brain hemispheres during development revealed 35 genes as putatively asymmetric from a combined data set. Our data constitute a valuable new resource for neuroscience and neurodevelopment, exposing possible functional associations between genes, including novel loci, and encouraging their further investigation in human neurological and behavioural disorders.