Linkage analysis of the fragile X gene FMR-1 and schizophrenia: no evidence for linkage but report of a family with schizophrenia and an unstable triplet repeat

We have examined 23 families multiply affected with schizophrenia for linkage to the FMR-1 gene on the X chromosome. Alleles at the FMR-1 CGG triplet repeat were analysed by the polymerase chain reaction, and methylation status at the FMR-1 locus in individuals with evidence of expanded or unstable repeats was analysed by Southern hybridization. Two-point LOD score analyses with a range of X-linked single gene models and a non-parametric affected sib-pair method revealed no evidence for linkage. In one family, however, a fragile X premutation was found, and one individual with schizophrenia and developmental delay was a mosaic for the full and premutation. We conclude that although mutations within the FMR-1 gene do not have a major aetiological role in schizophrenia in our collection of pedigrees, it is possible that FMR-1 mutations can modify the clinical phenotype of schizophrenia

A detailed investigation of two cases exhibiting characteristics of the 6p deletion syndrome.

Deletions of the short arm of chromosome 6 are relatively rare, only 16 cases having been described in the literature so far. Here we present a detailed investigation by fluorescence in situ hybridisation of two further cases with different but overlapping interstitial deletions involving 6p22, 6p23 and 6p24. The main features involved are craniofacial malformations, heart and kidney defects, mental retardation/developmental delay, hypotonia and hydrocephalus. By using 36 yeast artificial chromosome and cosmid clones from a contig covering 6p22.3-6p25 and other probes with defined cytogenetic locations within 6p21-6p22 we have precisely localised the breakpoints involved in each of the cases, estimated the sizes of the deleted regions and defined the region that is hemizygously deleted in both cases.Case ReportsJournal ArticleResearch Support, Non-U.S. Gov'tinfo:eu-repo/semantics/publishe

5-HT(2A) receptor and bipolar affective disorder: Association studies in affected patients

The aim of this study was to investigate the possible involvement of genetic variation in serotonin receptors in the aetiology of bipolar affective disorder. The 5-HT(2A) receptor gene was systematically screened for genetic variants by single strand conformation polymorphism (SSCP) methods in subjects with bipolar affective disorder. Four polymorphisms (two structural changes, Thr25Asn and His452Tyr, and two silent polymorphisms, 102-T/C and 516-C/T) which had previously been found in patients with schizophrenia and control subjects were detected. No novel polymorphisms were found in patients with bipolar affective disorder. These polymorphisms were genotyped in a sample of 129 patients and 252 controls of German origin and 176 patients and 182 controls of British origin. No strong associations were found between any of these polymorphisms and bipolar affective disorder. Genetic variation at the 5-HT(2A) receptor gene does not play a major role in the pathogenesis of the disorder.link_to_subscribed_fulltex

Comparative gene expression analysis of blood and brain provides concurrent validation of SELENBP1 up-regulation in schizophrenia

Microarray techniques hold great promise for identifying risk factors for schizophrenia (SZ) but have not yet generated widely reproducible results due to methodological differences between studies and the high risk of type I inferential errors. Here we established a protocol for conservative analysis and interpretation of gene expression data from the dorsolateral prefrontal cortex of SZ patients using statistical and bioinformatic methods that limit false positives. We also compared brain gene expression profiles with those from peripheral blood cells of a separate sample of SZ patients to identify disease-associated genes that generalize across tissues and populations and further substantiate the use of gene expression profiling of blood for detecting valid SZ biomarkers. Implementing this systematic approach, we: (i) discovered 177 putative SZ risk genes in brain, 28 of which map to linked chromosomal loci; (ii) delineated six biological processes and 12 molecular functions that may be particularly disrupted in the illness; (iii) identified 123 putative SZ biomarkers in blood, 6 of which (BTG1, GSK3A, HLA-DRB1, HNRPA3, SELENBP1, and SFRS1) had corresponding differential expression in brain; (iv) verified the differential expression of the strongest candidate SZ biomarker (SELENBP1) in blood; and (v) demonstrated neuronal and glial expression of SELENBP1 protein in brain. The continued application of this approach in other brain regions and populations should facilitate the discovery of highly reliable and reproducible candidate risk genes and biomarkers for SZ. The identification of valid peripheral biomarkers for SZ may ultimately facilitate early identification, intervention, and prevention efforts as well

CDeep3M—Plug-and-Play cloud-based deep learning for image segmentation

As biomedical imaging datasets expand, deep neural networks are considered vital for image processing, yet community access is still limited by setting up complex computational environments and availability of high-performance computing resources. We address these bottlenecks with CDeep3M, a ready-to-use image segmentation solution employing a cloud-based deep convolutional neural network. We benchmark CDeep3M on large and complex two-dimensional and three-dimensional imaging datasets from light, X-ray, and electron microscopy