Glucagon receptor (GCGR) defect (Mahvash disease) is an autosomal recessive hereditary pancreatic neuroendocrine tumor (PNET) syndrome that has only been reported in adults with pancreatic α cell ...hyperplasia and PNETs. We describe a 7-year-old girl with persistent hyperaminoacidemia, notable for elevations of glutamine (normal ammonia), alanine (normal lactate), dibasic amino acids (arginine, lysine and ornithine), threonine and serine. She initially was brought to medical attention by an elevated arginine on newborn screening (NBS) and treated for presumed arginase deficiency with a low protein diet, essential amino acids formula and an ammonia scavenger drug. This treatment normalized plasma amino acids. She had intermittent emesis and anorexia, but was intellectually normal. Arginase enzyme assay and ARG1 sequencing and deletion/duplication analysis were normal. Treatments were stopped, but similar pattern of hyperaminoacidemia recurred. She also had hypercholesterolemia type IIa, with only elevated LDL cholesterol, despite an extremely lean body habitus. Exome sequencing was initially non-diagnostic. Through a literature search, we recognized the pattern of hyperaminoacidemia was strikingly similar to that reported in the Gcgr−/− knockout mice. Subsequently the patient was found to have an extremely elevated plasma glucagon and a novel, homozygous c.958_960del (p.Phe320del) variant in GCGR. Functional studies confirmed the pathogenicity of this variant. This case expands the clinical phenotype of GCGR defect in children and emphasizes the clinical utility of plasma amino acids in screening, diagnosis and monitoring glucagon signaling interruption. Early identification of a GCGR defect may provide an opportunity for potential beneficial treatment for an adult onset tumor predisposition disease.
•Describe the first case of glucagon receptor defect uniquely identified by abnormal newborn screening for elevated arginine.•Characterize the pattern of hyperaminoacidemia in GCGR defect.•Expand the clinical spectrum of GCGR defect from adult to childhood with a unique gastrointestinal manifestation.
The goal of this study was to identify the contribution of common genetic variants to Down syndrome-associated atrioventricular septal defect, a severe heart abnormality. Compared with the euploid ...population, infants with Down syndrome, or trisomy 21, have a 2000-fold increased risk of presenting with atrioventricular septal defects. The cause of this increased risk remains elusive. Here we present data from the largest heart study conducted to date on a trisomic background by using a carefully characterized collection of individuals from extreme ends of the phenotypic spectrum. We performed a genome-wide association study using logistic regression analysis on 452 individuals with Down syndrome, consisting of 210 cases with complete atrioventricular septal defects and 242 controls with structurally normal hearts. No individual variant achieved genome-wide significance. We identified four disomic regions (1p36.3, 5p15.31, 8q22.3, and 17q22) and two trisomic regions on chromosome 21 (around PDXK and KCNJ6 genes) that merit further investigation in large replication studies. Our data show that a few common genetic variants of large effect size (odds ratio >2.0) do not account for the elevated risk of Down syndrome-associated atrioventricular septal defects. Instead, multiple variants of low-to-moderate effect sizes may contribute to this elevated risk, highlighting the complex genetic architecture of atrioventricular septal defects even in the highly susceptible Down syndrome population.
We present three children from two unrelated families with Angelman syndrome (AS) whose developmental skills are far more advanced than any other non‐mosaic AS individual ever reported. All have ...normal gait and use syntactic language spontaneously to express their needs. All of them have a c.2T > C (p.Met1Thr) variant in UBE3A, which abrogates the start codon of isoform 1, but not of isoforms 2 and 3. This variant was maternally inherited in one set of siblings, but de novo in the other child from the unrelated family. This report underscores the importance of considering AS in the differential diagnosis even in the presence of syntactic speech.
In oocytes with nondisjoined chromosomes 21 due to a meiosis I (MI) error, recombination is significantly reduced along chromosome 21; several lines of evidence indicate that this contributes to the ...nondisjunction event. A pilot study found evidence that these oocytes also have reduced recombination genome-wide when compared with controls. This suggests that factors that act globally may be contributing to the reduced recombination on chromosome 21, and hence, the nondisjunction event. To identify the source of these factors, we examined two levels of recombination count regulation in oocytes: (i) regulation at the maternal level that leads to correlation in genome-wide recombination across her oocytes and (ii) regulation at the oocyte level that leads to correlation in recombination count among the chromosomes of an oocyte. We sought to determine whether either of these properties was altered in oocytes with an MI error. As it relates to maternal regulation, we found that both oocytes with an MI error (N = 94) and their siblings (N = 64) had reduced recombination when compared with controls (N = 2723). At the oocyte level, we found that the correlation in recombination count among the chromosomes of an oocyte is reduced in oocytes with MI errors compared with that of their siblings or controls. These results suggest that regulation at the maternal level predisposes MI error oocytes to reduced levels of recombination, but additional oocyte-specific dysregulation contributes to the nondisjunction event.
Abstract To date, the NM_002472.2( MYH8 ):c.2021G>A (p.Arg674Gln) missense variant in the MYH8 gene is the only known genetic change in individuals with autosomal dominant trismus-pseudocamptodactyly ...syndrome with unknown molecular mechanism. Next-generation sequencing (NGS), including targeted gene panels and whole-exome sequencing, is routinely performed in many clinical diagnostic laboratories as standard-of-care testing aimed at identifying disease-causing genomic variants. Whole-exome sequencing has revealed loss-of-function variants in the MYH8 gene. To properly classify the MYH8 loss-of-function variants, we either retrieved them from public databases or retrospectively collected them from individuals genetically tested by custom NGS panels or by whole-exome sequencing and confirmed using Sanger sequencing. We further evaluated the respective clinical presentations of these individuals with the MYH8 loss-of-function variants. Heterozygous loss-of-function variants in the MYH8 gene were detected in 16 individuals without trismus-pseudocamptodactyly syndrome. Four of these 16 individuals had a pathogenic or likely pathogenic variant detected in another gene that could explain their clinical presentation. Moreover, there are ∼100 MYH8 heterozygous protein-truncating and splice site variants in the ExAC database in different populations. Our results, combined with the population data, indicate that loss-of-function variants in the MYH8 gene do not cause autosomal dominant trismus-pseudocamptodactyly syndrome, and the clinical significance of these variants remains unknown at present. This result highlights the importance of considering the molecular mechanism of disease, variants published in the medical literature, and population genomic data for the correct interpretation of loss-of-function variants in genes associated with autosomal dominant diseases.
Motivation: Most genotyping technologies for single nucleotide polymorphism (SNP) markers use standard clustering methods to ‘call’ the SNP genotypes. These methods are not always optimal in ...distinguishing the genotype clusters of a SNP because they do not take advantage of specific features of the genotype calling problem. In particular, when family data are available, pedigree information is ignored. Furthermore, prior information about the distribution of the measurements for each cluster can be used to choose an appropriate model-based clustering method and can significantly improve the genotype calls. One special genotyping problem that has never been discussed in the literature is that of genotyping of trisomic individuals, such as individuals with Down syndrome. Calling trisomic genotypes is a more complicated problem, and the addition of external information becomes very important. Results: In this article, we discuss the impact of incorporating external information into clustering algorithms to call the genotypes for both disomic and trisomic data. We also propose two new methods to call genotypes using family data. One is a modification of the K-means method and uses the pedigree information by updating all members of a family together. The other is a likelihood-based method that combines the Gaussian or beta-mixture model with pedigree information. We compare the performance of these two methods and some other existing methods using simulation studies. We also compare the performance of these methods on a real dataset generated by the Illumina platform (www.illumina.com). Availability: The R code for the family-based genotype calling methods (SNPCaller) is available to be downloaded from the following website: http://watson.hgen.pitt.edu/register. Contact: liny@upmc.edu Supplementary information: Supplementary data are available at Bioinformatics online.
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