A novel microdeletion syndrome at 3q13.31 characterised by developmental delay, postnatal overgrowth, hypoplastic male genitals, and characteristic facial features

Item does not contain fulltextBACKGROUND: Congenital deletions affecting 3q11q23 have rarely been reported and only five cases have been molecularly characterised. Genotype-phenotype correlation has been hampered by the variable sizes and breakpoints of the deletions. In this study, 14 novel patients with deletions in 3q11q23 were investigated and compared with 13 previously reported patients. METHODS: Clinical data were collected from 14 novel patients that had been investigated by high resolution microarray techniques. Molecular investigation and updated clinical information of one cytogenetically previously reported patient were also included. RESULTS: The molecular investigation identified deletions in the region 3q12.3q21.3 with different boundaries and variable sizes. The smallest studied deletion was 580 kb, located in 3q13.31. Genotype-phenotype comparison in 24 patients sharing this shortest region of overlapping deletion revealed several common major characteristics including significant developmental delay, muscular hypotonia, a high arched palate, and recognisable facial features including a short philtrum and protruding lips. Abnormal genitalia were found in the majority of males, several having micropenis. Finally, a postnatal growth pattern above the mean was apparent. The 580 kb deleted region includes five RefSeq genes and two of them are strong candidate genes for the developmental delay: DRD3 and ZBTB20. CONCLUSION: A newly recognised 3q13.31 microdeletion syndrome is delineated which is of diagnostic and prognostic value. Furthermore, two genes are suggested to be responsible for the main phenotype.1 februari 201

Chromosomal contacts connect loci associated with autism, BMI and head circumference phenotypes

Copy number variants (CNVs) are major contributors to genomic imbalance disorders. Phenotyping of 137 unrelated deletion and reciprocal duplication carriers of the distal 16p11.2 220 kb BP2-BP3 interval showed that these rearrangements are associated with autism spectrum disorders and mirror phenotypes of obesity/underweight and macrocephaly/microcephaly. Such phenotypes were previously associated with rearrangements of the non-overlapping proximal 16p11.2 600 kb BP4-BP5 interval. These two CNV-prone regions at 16p11.2 are reciprocally engaged in complex chromatin looping, as successfully confirmed by 4C-seq, fluorescence in situ hybridization and Hi-C, as well as coordinated expression and regulation of encompassed genes. We observed that genes differentially expressed in 16p11.2 BP4-BP5 CNV carriers are concomitantly modified in their chromatin interactions, suggesting that disruption of chromatin interplays could participate in the observed phenotypes. We also identified cis- and trans-acting chromatin contacts to other genomic regions previously associated with analogous phenotypes. For example, we uncovered that individuals with reciprocal rearrangements of the trans-contacted 2p15 locus similarly display mirror phenotypes on head circumference and weight. Our results indicate that chromosomal contacts’ maps could uncover functionally and clinically related genes.Molecular Psychiatry advance online publication, 31 May 2016; doi:10.1038/mp.2016.84

Identification of two novel loss-of-function SIM1 mutations in two overweight children with developmental delay

Article first published online: 19 SEP 2014OBJECTIVE: Several deletions of chromosome 6q, including SIM1, were reported in obese patients with developmental delay. Furthermore, rare loss-of-function SIM1 mutations were shown to contribute to severe obesity, yet the role of these mutations in developmental delay remained unclear. Here, SIM1 in children with neurodevelopmental abnormalities was screened and the functional effect of the identified mutations was investigated. METHODS: SIM1 was sequenced in 283 children presenting with developmental delay and at least overweight. The effect of the identified mutations on SIM1 transcriptional activity in stable human cell lines was assessed using luciferase gene reporter assays. RESULTS: Two novel mutations (c.886A>G/p.R296G and c.925A>G/p.S309G) in two boys with variable degrees of cognitive deficits and weight issues were identified. The child mutated for p.R296G presented with a generally more severe phenotype than the p.S309G carrier (obesity, compulsive eating, neonatal hypotonia versus overweight only), while both mutations had strong loss-of-function effects on SIM1 transcriptional activity. CONCLUSIONS: Severe loss-of-function SIM1 mutations can be associated with a spectrum of developmental delay phenotypes and obesity. Our data suggest that SIM1 sequencing should be performed more systematically in patients with developmental delay, even in the absence of severe obesity. These results deserve further SIM1 screening studies.Louise Montagne, Anne Raimondo, Bruno Delobel, Bénédicte Duban-Bedu, Fanny Stutzmann Noblet, Aurélie Dechaume, David C. Bersten, David Meyre, Murray L. Whitelaw, Philippe Froguel, and Amélie Bonnefon

Molecular findings and clinical data in a cohort of 150 patients with anophthalmia/microphthalmia

International audienceAnophthalmia and microphthalmia (AM) are the most severe malformations of the eye, corresponding respectively to reduced size or absent ocular globe. Wide genetic heterogeneity has been reported and different genes have been demonstrated to be causative of syndromic and non-syndromic forms of AM. We screened seven AM genes [GDF6 (growth differentiation factor 6), FOXE3 (forkhead box E3), OTX2 (orthodenticle protein homolog 2), PAX6 (paired box 6), RAX (retina and anterior neural fold homeobox), SOX2 (SRY sex determining region Y-box 2), and VSX2 (visual system homeobox 2 gene)] in a cohort of 150 patients with isolated or syndromic AM. The causative genetic defect was identified in 21% of the patients (32/150). Point mutations were identified by direct sequencing of these genes in 25 patients (13 in SOX2, 4 in RAX, 3 in OTX2, 2 in FOXE3, 1 in VSX2, 1 in PAX6, and 1 in GDF6). In addition eight gene deletions (five SOX2, two OTX2 and one RAX) were identified using a semi-quantitative multiplex polymerase chain reaction (PCR) [quantitative multiplex PCR amplification of short fluorescent fragments (QMPSF)]. The causative genetic defect was identified in 21% of the patients. This result contributes to our knowledge of the molecular basis of AM, and will facilitate accurate genetic counselling

Systematic analysis and prediction of genes associated with monogenic disorders on human chromosome X

Disease gene discovery on chromosome (chr) X is challenging owing to itsunique modes of inheritance. We undertook a systematic analysis of humanchrX genes. We observe a higher proportion of disorder-associated genes andan enrichment of genes involved in cognition, language, and seizures on chrXcompared to autosomes. We analyze gene constraints, exon and promoterconservation, expression, and paralogues, and report 127 genes sharing one ormore attributes with known chrX disorder genes. Using machine learningclassifiers trained to distinguish disease-associated from dispensable genes,we classify 247 genes, including 115 of the 127, as having high probability ofbeing disease-associated. We provide evidence of an excess of variants inpredicted genes in existing databases. Finally, we report damaging variants inCDK16 and TRPC5 in patients with intellectual disability or autism spectrumdisorders. This study predicts large-scale gene-disease associations that could be used for prioritization of X-linked pathogenic variants

Wiedemann-Steiner syndrome as a major cause of syndromic intellectual disability: A study of 33 French cases

International audienceWiedemann-Steiner syndrome (WSS) is a rare syndromic condition in which intellectual disability (ID) is associated with hypertrichosis cubiti, short stature, and characteristic facies. Following the identification of the causative gene (KMT2A) in 2012, only 31 cases of WSS have been described precisely in the literature. We report on 33 French individuals with a KMT2A mutation confirmed by targeted gene sequencing, high-throughput sequencing or exome sequencing. Patients' molecular and clinical features were recorded and compared with the literature data. On the molecular level, we found 29 novel mutations. We observed autosomal dominant transmission of WSS in 3 families and mosaicism in one family. Clinically, we observed a broad phenotypic spectrum with regard to ID (mild to severe), the facies (typical or not of WSS) and associated malformations (bone, cerebral, renal, cardiac and ophthalmological anomalies). Hypertrichosis cubiti that was supposed to be pathognomonic in the literature was found only in 61% of our cases. This is the largest series of WSS cases yet described to date. A majority of patients exhibited suggestive features, but others were less characteristic, only identified by molecular diagnosis. The prevalence of WSS was higher than expected in patients with ID, suggesting than KMT2A is a major gene in ID

Systematic analysis and prediction of genes associated with monogenic disorders on human chromosome X

Disease gene discovery on chromosome (chr) X is challenging owing to its unique modes of inheritance. We undertook a systematic analysis of human chrX genes. We observe a higher proportion of disorder-associated genes and an enrichment of genes involved in cognition, language, and seizures on chrX compared to autosomes. We analyze gene constraints, exon and promoter conservation, expression, and paralogues, and report 127 genes sharing one or more attributes with known chrX disorder genes. Using machine learning classifiers trained to distinguish disease-associated from dispensable genes, we classify 247 genes, including 115 of the 127, as having high probability of being disease-associated. We provide evidence of an excess of variants in predicted genes in existing databases. Finally, we report damaging variants in CDK16 and TRPC5 in patients with intellectual disability or autism spectrum disorders. This study predicts large-scale gene-disease associations that could be used for prioritization of X-linked pathogenic variants.Discovering disease genes on the X chromosome can be particularly challenging. Here, the authors use features of known disease genes and machine learning to predict genes that remain to be associated with disorders on this chromosome