Heterozygous loss-of-function variants of MEIS2 cause a triad of palatal defects, congenital heart defects, and intellectual disability.

Deletions on chromosome 15q14 are a known chromosomal cause of cleft palate, typically co-occurring with intellectual disability, facial dysmorphism, and congenital heart defects. The identification of patients with loss-of-function variants in MEIS2, a gene within this deletion, suggests that these features are attributed to haploinsufficiency of MEIS2. To further delineate the phenotypic spectrum of the MEIS2-related syndrome, we collected 23 previously unreported patients with either a de novo sequence variant in MEIS2 (9 patients), or a 15q14 microdeletion affecting MEIS2 (14 patients). All but one de novo MEIS2 variant were identified by whole-exome sequencing. One variant was found by targeted sequencing of MEIS2 in a girl with a clinical suspicion of this syndrome. In addition to the triad of palatal defects, heart defects, and developmental delay, heterozygous loss of MEIS2 results in recurrent facial features, including thin and arched eyebrows, short alae nasi, and thin vermillion. Genotype-phenotype comparison between patients with 15q14 deletions and patients with sequence variants or intragenic deletions within MEIS2, showed a higher prevalence of moderate-to-severe intellectual disability in the former group, advocating for an independent locus for psychomotor development neighboring MEIS2.

SNP arrays: comparing diagnostic yields for four platforms in children with developmental delay.

BACKGROUND: Molecular karyotyping is now the first-tier genetic test for patients affected with unexplained intellectual disability (ID) and/or multiple congenital anomalies (MCA), since it identifies a pathogenic copy number variation (CNV) in 10-14% of them. High-resolution microarrays combining molecular karyotyping and single nucleotide polymorphism (SNP) genotyping were recently introduced to the market. In addition to identifying CNVs, these platforms detect loss of heterozygosity (LOH), which can indicate the presence of a homozygous mutation or uniparental disomy. Since these abnormalities can be associated with ID and/or MCA, their detection is of particular interest for patients whose phenotype remains unexplained. However, the diagnostic yield obtained with these platforms is not confirmed, and the real clinical value of LOH detection has not been established. METHODS: We selected 21 children affected with ID, with or without congenital malformations, for whom standard genetic analyses failed to provide a diagnosis. We performed high-resolution SNP array analysis with four platforms (Affymetrix Genome-Wide Human SNP Array 6.0, Affymetrix Cytogenetics Whole-Genome 2.7 M array, Illumina HumanOmni1-Quad BeadChip, and Illumina HumanCytoSNP-12 DNA Analysis BeadChip) on whole-blood samples obtained from children and their parents to detect pathogenic CNVs and LOHs, and compared the results with those obtained on a moderate resolution array-based comparative genomic hybridization platform (NimbleGen CGX-12 Cytogenetics Array), already used in the clinical setting. RESULTS: We identified a total of four pathogenic CNVs in three patients, and all arrays successfully detected them. With the SNP arrays, we also identified a LOH containing a gene associated with a recessive disorder consistent with the patient's phenotype (i.e., an informative LOH) in four children (including two siblings). A homozygous mutation within the informative LOH was found in three of these patients. Therefore, we were able to increase the diagnostic yield from 14.3% to 28.6% as a result of the information provided by LOHs. CONCLUSIONS: This study shows the clinical usefulness of SNP arrays in children with ID, since they successfully detect pathogenic CNVs, identify informative LOHs that can lead to the diagnosis of a recessive disorder. It also highlights some challenges associated with the use of SNP arrays in a clinical laboratory.

Rare copy number variants contribute to congenital left-sided heart disease.

Left-sided congenital heart disease (CHD) encompasses a spectrum of malformations that range from bicuspid aortic valve to hypoplastic left heart syndrome. It contributes significantly to infant mortality and has serious implications in adult cardiology. Although left-sided CHD is known to be highly heritable, the underlying genetic determinants are largely unidentified. In this study, we sought to determine the impact of structural genomic variation on left-sided CHD and compared multiplex families (464 individuals with 174 affecteds (37.5%) in 59 multiplex families and 8 trios) to 1,582 well-phenotyped controls. 73 unique inherited or de novo CNVs in 54 individuals were identified in the left-sided CHD cohort. After stringent filtering, our gene inventory reveals 25 new candidates for LS-CHD pathogenesis, such as SMC1A, MFAP4, and CTHRC1, and overlaps with several known syndromic loci. Conservative estimation examining the overlap of the prioritized gene content with CNVs present only in affected individuals in our cohort implies a strong effect for unique CNVs in at least 10% of left-sided CHD cases. Enrichment testing of gene content in all identified CNVs showed a significant association with angiogenesis. In this first family-based CNV study of left-sided CHD, we found that both co-segregating and de novo events associate with disease in a complex fashion at structural genomic level. Often viewed as an anatomically circumscript disease, a subset of left-sided CHD may in fact reflect more general genetic perturbations of angiogenesis and/or vascular biology.

Differential gene expression profiling in the mouse brain during motor skill learning: focus on the striatum structure.

Much research has implicated the striatum in motor learning, but the underlying mechanism is still under extensive investigation. In this study, genome-wide analysis of gene expression was conducted in mice that have learned a complex motor task. It is well recognized that successful learning requires repetitive training and is learned slowly over several training sessions. We therefore used mice that have fully learned the accelerating rotarod task that discriminates the faster and slower phases of motor learning. As important modulators of movement behavior, the striatum was the target of this analysis along with the cerebellum and anterior cortex. To identify potential genes implicated in long memorization process, we compared the lists of genes modulated in the striatum to those modulated in the cerebellum and cortex. As a second approach, we also determined which gene ontology categories were enriched in modulated striatal genes and identified genes with the highest numbers of annotation throughout categories. Although only some of these changes were further confirmed by RT-PCR, these two complementary analyses allowed the identification of highly relevant genes like calcium/calmodulin-dependent protein kinase 2, protein kinase C zeta and N-methyl-D-aspartate receptors. Notably, these genes are all associated with synaptic plasticity, suggesting that stabilized neuronal connections in the striatum are the foundation of durable motor memory. Our study provides the first report of a whole genome analysis of gene expression in mice that have memorized a new complex motor task, and expands our knowledge on striatal gene expression changes associated with motor skill learning.