Identification Of Novel Disease Genes Research Articles

How exome sequencing improves the diagnostics and management of men with non-syndromic infertility.

Male infertility affects approximately 17% of all men and represents a complex disorder in which not only semen parameters such as sperm motility, morphology, and number of sperm are highly variable, but also testicular phenotypes range from normal spermatogenesis to complete absence of germ cells. Genetic factors significantly contribute to the disease but chromosomal aberrations, mostly Klinefelter syndrome, and microdeletions of the Y-chromosome have remained the only diagnostically and clinically considered genetic causes. Monogenic causes remain understudied and, thus, often unidentified, leaving the majority of the male factor couple infertility pathomechanistically unexplained. This has been changing mostly because of the introduction of exome sequencing that allows the analysis of multiple genes in large patient cohorts. As a result, pathogenic variants in single genes have been associated with non-syndromic forms of all aetiologic sub-categories in the last decade. This review highlights the contribution of exome sequencing to the identification of novel disease genes for isolated (non-syndromic) male infertility by presenting the results of a comprehensive literature search. Both, reduced sperm count in azoospermic and oligozoospermic patients, and impaired sperm motility and/or morphology, in asthenozoospermic and/or teratozoospermic patients are highly heterogeneous diseases with well over 100 different candidate genes described for each entity. Applying the standardized evaluation criteria of the ClinGen gene curation working group, 70 genes with at least moderate evidence to contribute to the disease are highlighted. The implementation of these valid disease genes in clinical exome sequencing is important to increase the diagnostic yield in male infertility and, thus, improve clinical decision-making and appropriate genetic counseling. Future advances in androgenetics will continue to depend on large-scale exome and genome sequencing studies of comprehensive international patient cohorts, which are the most promising approaches to identify additional disease genes and provide reliable data on the gene-disease relationship.

Analysis of genome-wide knockout mouse database identifies candidate ciliopathy genes

We searched a database of single-gene knockout (KO) mice produced by the International Mouse Phenotyping Consortium (IMPC) to identify candidate ciliopathy genes. We first screened for phenotypes in mouse lines with both ocular and renal or reproductive trait abnormalities. The STRING protein interaction tool was used to identify interactions between known cilia gene products and those encoded by the genes in individual knockout mouse strains in order to generate a list of “candidate ciliopathy genes.” From this list, 32 genes encoded proteins predicted to interact with known ciliopathy proteins. Of these, 25 had no previously described roles in ciliary pathobiology. Histological and morphological evidence of phenotypes found in ciliopathies in knockout mouse lines are presented as examples (genes Abi2, Wdr62, Ap4e1, Dync1li1, and Prkab1). Phenotyping data and descriptions generated on IMPC mouse line are useful for mechanistic studies, target discovery, rare disease diagnosis, and preclinical therapeutic development trials. Here we demonstrate the effective use of the IMPC phenotype data to uncover genes with no previous role in ciliary biology, which may be clinically relevant for identification of novel disease genes implicated in ciliopathies.

How to proceed after "negative" exome: A review on genetic diagnostics, limitations, challenges, and emerging new multiomics techniques.

Exome sequencing (ES) in the clinical setting of inborn metabolic diseases (IMDs) has created tremendous improvement in achieving an accurate and timely molecular diagnosis for a greater number of patients, but it still leaves the majority of patients without a diagnosis. In parallel, (personalized) treatment strategies are increasingly available, but this requires the availability of a molecular diagnosis. IMDs comprise an expanding field with the ongoing identification of novel disease genes and the recognition of multiple inheritance patterns, mosaicism, variable penetrance, and expressivity for known disease genes. The analysis of trio ES is preferred over singleton ES as information on the allelic origin (paternal, maternal, “de novo”) reduces the number of variants that require interpretation. All ES data and interpretation strategies should be exploited including CNV and mitochondrial DNA analysis. The constant advancements in available techniques and knowledge necessitate the close exchange of clinicians and molecular geneticists about genotypes and phenotypes, as well as knowledge of the challenges and pitfalls of ES to initiate proper further diagnostic steps. Functional analyses (transcriptomics, proteomics, and metabolomics) can be applied to characterize and validate the impact of identified variants, or to guide the genomic search for a diagnosis in unsolved cases. Future diagnostic techniques (genome sequencing [GS], optical genome mapping, long‐read sequencing, and epigenetic profiling) will further enhance the diagnostic yield. We provide an overview of the challenges and limitations inherent to ES followed by an outline of solutions and a clinical checklist, focused on establishing a diagnosis to eventually achieve (personalized) treatment.

Quantification of Phenotype Information Aids the Identification of Novel Disease Genes.

Next-generation sequencing led to the identification of many potential novel disease genes. The presence of mutations in the same gene in multiple unrelated patients is, however, a priori insufficient to establish that these genes are truly involved in the respective disease. Here, we show how phenotype information can be incorporated within statistical approaches to provide additional evidence for the causality of mutations. We developed a broadly applicable statistical model that integrates gene-specific mutation rates, cohort size, mutation type, and phenotype frequency information to assess the chance of identifying de novo mutations affecting the same gene in multiple patients with shared phenotype features. We demonstrate our approach based on the frequency of phenotype features present in a unique cohort of 6,149 patients with intellectual disability. We show that our combined approach can decrease the number of patients required to identify novel disease genes, especially for patients with combinations of rare phenotypes. In conclusion, we show how integrating genotype-phenotype information can aid significantly in the interpretation of de novo mutations in potential novel disease genes.

Cell type-selective disease-association of genes under high regulatory load.

We previously showed that disease-linked metabolic genes are often under combinatorial regulation. Using the genome-wide ChIP-Seq binding profiles for 93 transcription factors in nine different cell lines, we show that genes under high regulatory load are significantly enriched for disease-association across cell types. We find that transcription factor load correlates with the enhancer load of the genes and thereby allows the identification of genes under high regulatory load by epigenomic mapping of active enhancers. Identification of the high enhancer load genes across 139 samples from 96 different cell and tissue types reveals a consistent enrichment for disease-associated genes in a cell type-selective manner. The underlying genes are not limited to super-enhancer genes and show several types of disease-association evidence beyond genetic variation (such as biomarkers). Interestingly, the high regulatory load genes are involved in more KEGG pathways than expected by chance, exhibit increased betweenness centrality in the interaction network of liver disease genes, and carry longer 3′ UTRs with more microRNA (miRNA) binding sites than genes on average, suggesting a role as hubs integrating signals within regulatory networks. In summary, epigenetic mapping of active enhancers presents a promising and unbiased approach for identification of novel disease genes in a cell type-selective manner.

Molecular cytogenetic characterization of a familial pericentric inversion 3 associated with short stature

Short stature refers to the height of an individual which is below expected. The causes are heterogenous and influenced by several genetic and environmental factors. Chromosomal abnormalities are a major cause of diseases and cytogenetic mapping is one of the powerful tools for the identification of novel disease genes. Here we report a three generation family with a heterozygous pericentric inversion of 46, XX, inv(3) (p24.1q26.1) associated with Short stature. Positional cloning strategy was used to physically map the breakpoint regions by Fluorescence in situ hybridization (FISH). Fine mapping was performed with Bacterial Artificial Chromosome (BAC) clones spanning the breakpoint regions. In order to further characterize the breakpoint regions extensive molecular mapping was carried out with the breakpoint spanning BACs which narrowed down the breakpoint region to 2.9 kb and 5.3 kb regions on p and q arm respectively. Although these breakpoints did not disrupt any validated genes, we had identified a novel putative gene in the vicinity of 3q26.1 breakpoint region by in silico analysis. Trying to find the presence of any transcripts of this putative gene we analyzed human total RNA by RT-PCR and identified transcripts containing three new exons confirming the existence of a so far unknown gene close to the 3q breakpoint.

IL36RN Mutations in Generalized Pustular Psoriasis: Just the Tip of the Iceberg?

As IL36RN mutations are a cause of generalized pustular psoriasis (GPP), three recent investigations attempted to correlate the IL36RN genotype with GPP clinical presentations. These studies found that IL36RN mutations account for only a fraction of GPP cases presenting with concomitant psoriasis vulgaris (PV; common or typical psoriasis). Pathogenic alleles were also found in control populations, indicating that environmental triggers and/or modifier genes may contribute to the disease.

Brain iron takes off: a new propeller protein links neurodegeneration with autophagy

‘Neurodegeneration with brain iron accumulation’ (NBIA) is a clinically and genetically heterogeneous group of disorders presenting with progressive extrapyramidal dysfunction, and as a common feature, with brain iron deposition in the basal ganglia, particularly in the globus pallidus and substantia nigra (Gregory and Hayflick, 2013 a ). Over recent years an increasing number of mutations in novel disease genes have been identified in NBIA, facilitated by new genetic technologies. Mutations in nine different genes have been shown to cause NBIA to date, with a spectrum of overlapping clinical phenotypes (Fig. 1, Gregory and Hayflick, 2013 a ). The identification of novel disease genes has improved our understanding of major disease mechanisms leading to iron deposition as a potential common pathway, although the direct link between iron accumulation and clinical presentation requires further work. Figure 1 Summary of the distinguishing features in different types of NBIA. Different coloured arrows represent the primary pathomechanisms. aCP = aceruloplasminemia; BPAN = beta-propeller protein-associated neurodegeneration; FAHN = fatty acid hydroxylase-associated neurodegeneration; INAD = infantile neuroaxonal dystrophy; KRD = Kufor-Rakeb disease; MPAN = mitochondrial membrane protein-associated neurodegeneration; PKAN = pantothenate kinase associated neurodegeneration; WSS = Woodhouse-Sakati syndrome. The clinical ‘hallmarks’ of NBIA are progressive dystonia, dysarthria, spasticity and parkinsonism. Optic atrophy, retinal degeneration and peripheral neuropathy may be associated features in a number of NBIA syndromes. Characteristic MRI findings may be helpful in the diagnosis, but they may appear only later in the disease course. However some specific signs on MRI may facilitate the diagnosis (Fig. 1). The age of manifestation (childhood–adulthood) and the inheritance pattern (autosomal recessive in seven forms; autosomal dominant in neuroferritinopathy; and X-linked in WDR45 deficiency) may be helpful in the differential diagnosis of NBIA (Fig. 1). In a large proportion of cases (∼40%), the underlying genetic basis of NBIA has yet to be defined, …

Exome sequencing reveals a novel mutation for autosomal recessive non-syndromic mental retardation in the TECR gene on chromosome 19p13

Exome sequencing is a powerful tool for discovery of the Mendelian disease genes. Previously, we reported a novel locus for autosomal recessive non-syndromic mental retardation (NSMR) in a consanguineous family [Nolan, D.K., Chen, P., Das, S., Ober, C. and Waggoner, D. (2008) Fine mapping of a locus for nonsyndromic mental retardation on chromosome 19p13. Am. J. Med. Genet. A, 146A, 1414-1422]. Using linkage and homozygosity mapping, we previously localized the gene to chromosome 19p13. The parents of this sibship were recently included in an exome sequencing project. Using a series of filters, we narrowed the putative causal mutation to a single variant site that segregated with NSMR: the mutation was homozygous in five affected siblings but in none of eight unaffected siblings. This mutation causes a substitution of a leucine for a highly conserved proline at amino acid 182 in TECR (trans-2,3-enoyl-CoA reductase), a synaptic glycoprotein. Our results reveal the value of massively parallel sequencing for identification of novel disease genes that could not be found using traditional approaches and identifies only the seventh causal mutation for autosomal recessive NSMR.

Recent progress in the search for genes for bipolar disorder.

Over many decades, much evidence has been accumulated to demonstrate the strong role of genetic factors in bipolar disorder. Recently, genetic studies of bipolar disorder have turned from proving the role of genetics to identifying the specific genes involved. This has been made possible by the development of powerful methods to identify disease genes by their locations on chromosomes, an approach termed positional cloning. Currently, about a dozen regions in the genome have been implicated as the location of susceptibility genes for bipolar disorder. Several of these have been replicated and will likely lead to the identification of novel disease mechanisms. An intriguing development is that a few of these are the same locations implicated in studies of schizophrenia, suggesting a greater genetic relationship between these disorders than had been previously thought. It is hoped that the identification of novel disease genes will lead to a better understanding of the pathophysiology of bipolar disorder and to the development of more effective treatments.

Applied molecular genetic techniques for prenatal diagnosis.

Molecular laboratory techniques are increasingly important in the evaluation of fetuses at risk for a single gene disorder or chromosomal abnormality and for the detection of genetic or other conditions that can lead to an adverse fetal or maternal outcome. The localization and identification of novel disease genes allows for mutation analysis or linkage studies on fetuses at risk for these disorders. New assays or techniques for mutation detection in single gene disorders such as amplification refractory mutation system polymerase chain reaction, fluorescent polymerase chain reaction, heteroduplex analysis and the protein truncation test are now applied in prenatal diagnosis. Recent advances in molecular cytogenetics, such as comparative genomic hybridization, the primed in-situ labeling technique, the development of new telomeric probes and spectral karyotyping, are being evaluated for their role in the prenatal diagnosis of chromosomal abnormalities. These methods may greatly improve the accuracy and applicability of preimplantation genetic diagnosis or diagnosis on fetal cells isolated from maternal blood.