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Matthew B Johnson

Publications and source records attributed to Matthew B Johnson.

2 recordsLinked to original sources

A novel deep intronic EIF2AK3 variant disrupts splicing and causes Wolcott-Rallison syndrome.

AIM: Deep intronic variants can disrupt splicing and cause monogenic disease but are missed by routine genetic testing. This study assessed the contribution of deep intronic variants to Wolcott-Rallison syndrome (WRS), a recessive disorder characterized by early-onset diabetes and progressive multisystem disease caused by loss-of-function EIF2AK3 variants. METHODS: We investigated a cohort of 116 individuals referred to the Exeter Genomics Laboratory for genetic testing who had diabetes diagnosed at ≤2 years and at least one additional feature consistent with WRS: hepatic dysfunction, skeletal abnormalities or developmental delay. No genetic cause had been identified after testing all known early-onset diabetes genes. We screened genome-sequencing data for rare homozygous intronic EIF2AK3 variants. Candidate variants predicted to affect splicing by SpliceAI were assessed using a minigene exon-trapping assay. RESULTS: We identified two rare homozygous intronic EIF2AK3 variants in two siblings. Only one variant, c.1651-180G>T, was predicted to disrupt splicing in silico. The two children, born to consanguineous parents, were diagnosed with early-onset diabetes (diagnosed at 1 year and 21 weeks), hepatic dysfunction, skeletal abnormalities, developmental delay, thyroid dysfunction, hip dysplasia and gait abnormalities. The minigene assay showed that c.1651-180G>T creates a cryptic donor splice site within intron 9, resulting in inclusion of a 79-nucleotide pseudoexon, causing a frameshift and premature stop codon. Using this evidence, the variant was reclassified as likely pathogenic according to ACMG/ACGS guidelines. CONCLUSIONS: We report the first deep intronic EIF2AK3 variant causing WRS, highlighting the need to consider systematic intronic analysis in unresolved cases.

EIF2AK3

Schizophrenia Spectrum Biomarkers Consortium: Establishment of a Biorepository for the Discovery of Quantitative Fluid Biomarkers.

BACKGROUND AND HYPOTHESIS: Schizophrenia spectrum disorders (SSDs) produce severe symptoms, disability, and premature mortality, but only partially effective symptomatic treatments exist. Treatment development is impeded by lack of insight into disease mechanisms or objective biomarkers for clinical trials. Advances in genetics and neurobiology have converged on strong pathogenic hypotheses for SSDs centered on synapse dysfunction and excessive pruning, pathogenic processes that may produce measurable proteomic evidence in cerebrospinal fluid (CSF). Leveraging design precedents from successful fluid biomarkers discovery for Alzheimer's disease, we undertook a pilot study to test the feasibility of repeated CSF and blood samples collection from individuals with SSDs. Here we report on successful implementation of longitudinal bio-behavioral phenotyping in SSDs and establishment of a repository to permit broad sample and data sharing. STUDY DESIGN: The Schizophrenia Spectrum Biomarkers Consortium (SSBC) study principles included longitudinal study design, paired CSF and plasma collection associated with robust phenotypic characterization, at 3 academic sites and the establishment of a biorepository. Participants underwent clinical and cognitive assessments, neuroimaging, blood draws, and CSF collection via lumbar puncture (LP) every 6 months. STUDY RESULTS: SSBC successfully enrolled 48 SSD and 41 Healthy Controls with a 73% longitudinal retention. Clinical, cognitive, and neuroimaging results were consistent across sites and with existing studies. Study procedures were well tolerated, and almost all LPs (99%) resulted in either no or minor headache/backache that resolved without medical interventions. CONCLUSIONS: The pilot SSBC study demonstrates that a multi-site, longitudinal study with repeat CSF collection is feasible, with excellent participant acceptability and retention.

Humans