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Biomedical subjects

Michael C O'Donovan

Publications and source records attributed to Michael C O'Donovan.

At least 19 recordsLinked to original sources

Rethinking schizophrenia: insights from genomics and implications for research.

Recent genomic research, considered in the wider context of knowledge from outside genomics, provides significant conceptual insights into the aetiology and pathogenesis of schizophrenia. The evidence indicates that genetic risk is expressed across the lifespan, from foetal development through to adulthood, and involves multiple neuronal types and brain regions. Schizophrenia appears to be primarily a neuronal disorder, with synaptic dysfunction playing a central role in pathogenesis both during development and in mature adult brain function, alongside earlier non-synaptic neurodevelopmental mechanisms. Importantly, non-familial genetic and environmental factors substantially influence neurodevelopmental impairment, and this is often reflected in cognitive performance falling below familial expectations. Cognitive deficits and structural brain abnormalities are weakly correlated with familial genetic risk and are better understood as markers of neurodevelopmental vulnerability rather than causal mediators. Genomic findings also position schizophrenia within a neurodevelopmental continuum, spanning childhood-onset disorders to adult-onset psychiatric conditions, and suggest heterogeneity within schizophrenia, with some cases exhibiting stronger neurodevelopmental involvement. These findings challenge notions that schizophrenia can be ascribed to, or understood by studying, dysfunction in particular neuronal types, brain regions or circuits, or to defects at a particular stage of neurodevelopment. While schizophrenia appears to be predominantly a neuronal disorder, pathophysiology appears to be manifest widely across time and space, and in different neuronal types across the adult and foetal brain. Moreover, despite schizophrenia's high heritability, there is mounting evidence that non-familial genetic and environmental factors play important roles in the neurodevelopmental processes that impact on schizophrenia risk. Finally, variation in the impact of the neurodevelopmental factors appears to be key to understanding some of the heterogeneity within schizophrenia and the relationship between schizophrenia and other conditions. These observations have profound implications for future research, particularly in clarifying pathogenic mechanisms and refining diagnostic frameworks.

Humans↗

Convergent evidence that oligodendrocyte lineage transcription factor 2 (OLIG2) and interacting genes influence susceptibility to schizophrenia.

Abnormal oligodendrocyte function has been postulated as a primary etiological event in schizophrenia. Oligodendrocyte lineage transcription factor 2 (OLIG2) encodes a transcription factor central to oligodendrocyte development. Analysis of OLIG2 in a case-control sample (n = approximately 1,400) in the U.K. revealed several SNPs to be associated with schizophrenia (minimum P = 0.0001, gene-wide P = 0.0009). To obtain independent support for this association, we sought evidence for genetic interaction between OLIG2 and three genes of relevance to oligodendrocyte function for which we have reported evidence for association with schizophrenia: CNP, NRG1, and ERBB4. We found interaction effects on disease risk between OLIG2 and CNP (minimum P = 0.0001, corrected P = 0.008) for interaction with ERBB4 (minimum P = 0.002, corrected P = 0.04) but no evidence for interaction with NRG1. To investigate the biological plausibility of the interactions, we sought correlations between the expression of the genes. The results were similar to those of the genetic interaction analysis. OLIG2 expression significantly correlated in cerebral cortex with CNP (P < 10(-7)) and ERBB4 (P = 0.002, corrected P = 0.038) but not NRG1. In mouse striatum, Olig2 and Cnp expression also was correlated, and linkage analysis for trans-effects on gene expression suggests that each locus regulates the other's expression. Our data provide strong convergent evidence that variation in OLIG2 confers susceptibility to schizophrenia alone and as part of a network of genes implicated in oligodendrocyte function.

2',3'-Cyclic-Nucleotide Phosphodiesterases↗

Analysis of ProDH, COMT and ZDHHC8 risk variants does not support individual or interactive effects on schizophrenia susceptibility.

Synergistic interaction between genes on chromosome 22q11 recently has been proposed as a possible mechanism which could confer increased risk for schizophrenia. Based on this hypothesis, our study aimed to explore main, cis- and trans-interacting effects of three candidate genes on 22q11, ProDH, COMT and ZDHHC8. We selected four putative risk variants, residing within these genes, ProDH 1945, ProDH 2026, COMT ValMet and ZDHHC8 rs175174, and studied these in a large family-based schizophrenia association sample of European origin (488 Bulgarian parent-offspring trios). The presence of interaction between the variants was tested by conditional logistic regression analysis based on a case-pseudocontrol design. Our study did not find statistical evidence for allelic (investigation of ProDH markers only), genotypic, haplotypic, or interactive effects between ProDH, COMT and ZDHHC8. Our data do not support the hypothesis that an interaction between these genes influences susceptibility to schizophrenia.

Acyltransferases↗

Tbx1 haploinsufficiency is linked to behavioral disorders in mice and humans: implications for 22q11 deletion syndrome.

About 35% of patients with 22q11 deletion syndrome (22q11DS), which includes DiGeorge and velocardiofacial syndromes, develops psychiatric disorders, mainly schizophrenia and bipolar disorder. We previously reported that mice carrying a multigene deletion (Df1) that models 22q11DS have reduced prepulse inhibition (PPI), a behavioral abnormality and schizophrenia endophenotype. Impaired PPI is associated with several psychiatric disorders, including those that occur in 22q11DS, and recently, reduced PPI was reported in children with 22q11DS. Here, we have mapped PPI deficits in a panel of mouse mutants that carry deletions that partially overlap with Df1 and have defined a PPI critical region encompassing four genes. We then used single-gene mutants to identify the causative genes. We show that PPI deficits in Df1/+ mice are caused by haploinsufficiency of two genes, Tbx1 and Gnb1l. Mutation of either gene is sufficient to cause reduced PPI. Tbx1 is a transcription factor, the mutation of which is sufficient to cause most of the physical features of 22q11DS, but the gene had not been previously associated with the behavioral/psychiatric phenotype. A likely role for Tbx1 haploinsufficiency in psychiatric disease is further suggested by the identification of a family in which the phenotypic features of 22q11DS, including psychiatric disorders, segregate with an inactivating mutation of TBX1. One family member has Asperger syndrome, an autistic spectrum disorder that is associated with reduced PPI. Thus, Tbx1 and Gnb1l are strong candidates for psychiatric disease in 22q11DS patients and candidate susceptibility genes for psychiatric disease in the wider population.

Adult↗

Evaluation of a susceptibility gene for schizophrenia: genotype based meta-analysis of RGS4 polymorphisms from thirteen independent samples.

BACKGROUND: Associations between schizophrenia (SCZ) and polymorphisms at the regulator of G-protein signaling 4 (RGS4) gene have been reported (single nucleotide polymorphisms [SNPs] 1, 4, 7, and 18). Yet, similar to other SCZ candidate genes, studies have been inconsistent with respect to the associated alleles. METHODS: In an effort to resolve the role for RGS4 in SCZ susceptibility, we undertook a genotype-based meta-analysis using both published and unpublished family-based and case-control samples (total n = 13,807). RESULTS: The family-based dataset consisted of 10 samples (2160 families). Significant associations with individual SNPs/haplotypes were not observed. In contrast, global analysis revealed significant transmission distortion (p = .0009). Specifically, analyses suggested overtransmission of two common haplotypes that account for the vast majority of all haplotypes. Separate analyses of 3486 cases and 3755 control samples (eight samples) detected a significant association with SNP 4 (p = .01). Individual haplotype analyses were not significant, but evaluation of test statistics from individual samples suggested significant associations. CONCLUSIONS: Our collaborative meta-analysis represents one of the largest SCZ association studies to date. No individual risk factor arose from our analyses, but interpretation of these results is not straightforward. Our analyses suggest risk due to at least two common haplotypes in the presence of heterogeneity. Similar analysis for other putative susceptibility genes is warranted.

Case-Control Studies↗

Effects of differential genotyping error rate on the type I error probability of case-control studies.

OBJECTIVES: It is well known that genotyping error adversely affects the power of genetic case-control association studies but there is little research on its effects on type I error, and none that has addressed possible differences in genotype error rates between cases and controls. METHODS: We used simulations to examine the influence of genotyping error on the type I error probability given by case-control studies. The effect of genotyping error on the magnitude of type I error was explored for a single marker of varying minor allele frequency (MAF), and for haplotypic tests based on two markers with varying MAF and linkage disequilibrium (LD) measure r(2). RESULTS: We show that even with low genotyping error rates (<0.01), systematic differences in the error rate between samples can result in type I error rates substantially above 0.05. The effect was maximal for markers with small MAF, markers in strong LD, and where a common allele is more frequently misclassified as a rare allele than vice versa. The problem was also exacerbated by the use of large samples. CONCLUSIONS: Our results show that small differential genotyping error rates between cases and controls pose significant problems for association analyses. Differential genotyping error rates are particularly likely to arise where genotype data are combined from multiple sites, or where case genotypes are examined against archived reference population cohort genotypes that are being generated in several countries. Although these strategies may be necessary to obtain adequately powered samples, our data show the importance of stringent quality control. Furthermore, associations based on rare haplotypes should be treated with caution.

Alleles↗

Polymorphisms in the phosphate and tensin homolog gene are not associated with late-onset Alzheimer's disease.

The varepsilon4 allele of the APOE locus is the only confirmed risk factor for late-onset Alzheimer's disease (LOAD). The phosphate and tensin homolog (PTEN) gene is both a biological and positional candidate gene for LOAD. Eight polymorphisms spanning this gene were selected from dbSNP and genotyped in pooled DNA samples of both cases and controls. No evidence for association with LOAD was obtained in this study although further investigation revealed low levels of linkage disequlibrium (LD) between the genotyped SNPs. Our results suggest that it is unlikely that genetic variation within the PTEN gene contributes to risk of LOAD.

Aged↗

Pooled DNA genotyping on Affymetrix SNP genotyping arrays.

BACKGROUND: Genotyping technology has advanced such that genome-wide association studies of complex diseases based upon dense marker maps are now technically feasible. However, the cost of such projects remains high. Pooled DNA genotyping offers the possibility of applying the same technologies at a fraction of the cost, and there is some evidence that certain ultra-high throughput platforms also perform with an acceptable accuracy. However, thus far, this conclusion is based upon published data concerning only a small number of SNPs. RESULTS: In the current study we prepared DNA pools from the parents and from the offspring of 30 parent-child trios that have been extensively genotyped by the HapMap project. We analysed the two pools with Affymetrix 10 K Xba 142 2.0 Arrays. The availability of the HapMap data allowed us to validate the performance of 6843 SNPs for which we had both complete individual and pooled genotyping data. Pooled analyses averaged over 5-6 microarrays resulted in highly reproducible results. Moreover, the accuracy of estimating differences in allele frequency between pools using this ultra-high throughput system was comparable with previous reports of pooling based upon lower throughput platforms, with an average error for the predicted allelic frequencies differences between the two pools of 1.37% and with 95% of SNPs showing an error of < 3.2%. CONCLUSION: Genotyping thousands of SNPs with DNA pooling using Affymetrix microarrays produces highly accurate results and can be used for genome-wide association studies.

Alleles↗

Evidence that interaction between neuregulin 1 and its receptor erbB4 increases susceptibility to schizophrenia.

There is now strong evidence that Neuregulin 1 (NRG1) is a susceptibility gene for schizophrenia. NRG1 mediates some of its effects through the tyrosine kinase receptor erbB4, and analysis of gene knock-out animals suggests that the functional interaction of NRG1 and erbB4 mediates behaviors that may model some aspects of the schizophrenia phenotype in mice. Given these findings, we have sought evidence for association between schizophrenia and erbB4. Mutation screening of erbB4 in 14 DSMIV schizophrenics revealed 15 SNPs, none of which were nonsynonymous. Analysis of the allele frequencies of each SNP in pools of 368 DSMIV schizophrenics and 368 controls provided modest evidence for association with two of the SNPs, although individual genotyping in an extended sample of 680 cases did not confirm this. However, we did find evidence for a significant interaction between the NRG1 "Icelandic" schizophrenia risk haplotype and erbB4 (P = 0.019). The NRG1 and erbB4 interacting marker was further genotyped in an independent sample of 290 cases and 634 controls from Dublin. Interaction between NRG1 and erbB4 remained significant in the combined sample of 970 cases and 1,341 controls, OR = 2.98 (CI: 1.16-7.64), P = 0.01, although it only showed a trend in the Dublin sample alone (P = 0.11, two tailed). Our data require independent replication, but tentatively suggest that NRG1 may mediate its effects on schizophrenia susceptibility through functional interaction with erbB4, and that genetic interaction between variants at the two loci increases susceptibility to schizophrenia.

Adult↗

Convergent evidence for 2',3'-cyclic nucleotide 3'-phosphodiesterase as a possible susceptibility gene for schizophrenia.

CONTEXT: Convergent data make 2',3'-cyclic nucleotide 3'-phosphodiesterase (CNP) a candidate gene for schizophrenia. Reduced expression has been reported in the schizophrenic brain. The CNP gene maps to a region to which we have reported linkage to schizophrenia. Mice in which the CNP gene has been knocked out display central nervous system pathological characteristics reminiscent of some features observed in schizophrenia. 2',3'-Cyclic nucleotide 3'-phosphodiesterase is used as a marker of myelin-forming cells and is detectable in cells of oligodendrocyte lineage throughout life. Because CNP is thought to be important for oligodendrocyte function, altered expression has been interpreted as supportive of the hypothesis that altered oligodendrocyte function may be an etiological factor in schizophrenia. However, it is unclear whether the observed changes in the schizophrenic brain are primary or secondary. OBJECTIVES: To determine if CNP expression is influenced by DNA polymorphisms and to verify if these polymorphisms are associated with schizophrenia. DESIGN: Allele-specific messenger RNA expression assay and genetic association studies. SETTING: Unrelated subjects were ascertained from secondary psychiatric inpatient and outpatient services. PARTICIPANTS: We used brain tissue from 60 anonymous individuals with no known psychiatric disorder; a case-control sample of 708 white individuals from the United Kingdom meeting DSM-IV criteria for schizophrenia matched for age, sex, and ethnicity to 711 blood donor controls; and a pedigree with DNA from 6 affected siblings and 1 parent, showing evidence for linkage to CNP. MAIN OUTCOME MEASURES: Association between allele and gene expression. Association between allele and schizophrenia. RESULTS: The exonic single nucleotide polymorphism rs2070106 was associated with CNP expression (P<.001). Compatible with underexpression of CNP messenger RNA in schizophrenia, the lower-expressing A allele was significantly associated with schizophrenia (P = .04) in the case-control sample. All affected individuals in the linked pedigree were homozygous for the lower-expression allele, providing independent support for the association (P = .03). CONCLUSIONS: Our data support the hypothesis that reduced CNP expression in the schizophrenic brain is relevant to disease etiology and therefore provide support for the general hypothesis that altered oligodendrocyte function is an etiological factor in schizophrenia.

2',3'-Cyclic-Nucleotide Phosphodiesterases↗

Variation at the DAOA/G30 locus influences susceptibility to major mood episodes but not psychosis in schizophrenia and bipolar disorder.

CONTEXT: Variation at the DAOA/G30 locus has been described to be associated with both schizophrenia and bipolar disorder, but there is little consistency between studies of the tested polymorphisms or variants showing association. OBJECTIVES: To obtain a stringent replication of association in large samples of both disorders using consistent clinical and laboratory methods, and to test the hypothesis that association at DAOA/G30 identifies an underlying domain of psychopathological abnormalities that cuts across traditional diagnostic categories. DESIGN: A systematic study of polymorphisms at DAOA/G30 using genetic case-control association analysis. SETTING: Subjects were unrelated and ascertained from general psychiatric inpatient and outpatient services. PARTICIPANTS: White persons from the United Kingdom meeting criteria for DSM-IV schizophrenia (n = 709) or bipolar I disorder (n = 706) and 1416 ethnically matched controls. METHODS: Nine polymorphisms that tag common genetic variations at DAOA/G30 were genotyped in all of the individuals, and comparisons were made between affected and unaffected individuals. RESULTS: We identified significant association (P = .01-.047) between 3 single-nucleotide polymorphisms and bipolar disorder but failed to find association with schizophrenia. Analyses across the traditional diagnostic categories revealed significant evidence (P = .002-.02) for association with 4 single-nucleotide polymorphisms in the subset of cases (n = 818) in which episodes of major mood disorder had occurred (gene-wide P = .009). We found a similar pattern of association in bipolar cases and in schizophrenia cases in which individuals had experienced major mood disorder. In contrast, we found no evidence for association in the subset of cases (n = 1153) in which psychotic features occurred (all P>.08). CONCLUSIONS: Despite being originally described as a schizophrenia susceptibility locus, our data suggest that variation at the DAOA/G30 locus does not primarily increase susceptibility for prototypical schizophrenia or psychosis. Instead, our results imply that variation at the DAOA/G30 locus influences susceptibility to episodes of mood disorder across the traditional bipolar and schizophrenia categories.

Bipolar Disorder↗

Ubiquilin 1 polymorphisms are not associated with late-onset Alzheimer's disease.

Several studies have reported evidence for linkage of late-onset Alzheimer's disease (LOAD) to chromosome 9. Recently, an intronic polymorphism affecting alternative splicing of exon 8 of ubiquilin 1 (UBQLN1) was reported to be associated with LOAD. We attempted to replicate this observation by genotyping this polymorphism, rs12344615 (also known as UBQ-8i), in a large sample of 1,544 LOAD cases and 1,642 nondemented controls. We did not find any evidence that this single nucleotide polymorphism, or any of six others tested in UBQLN1, increases risk for LOAD.

Adaptor Proteins, Signal Transducing↗

The genetics of developmental dyslexia.

Reading reflects the complex integration of several cognitive processes and proves more difficult to achieve for a significant proportion of the population. Developmental dyslexia (DD), or specific reading disability, is influenced by genes, a fact that has led several research groups to attempt to identify susceptibility genes through the sequential analysis of genetic linkage and association. Strong evidence has now emerged for the presence of genes influencing DD at several chromosomal loci and for at least one of these, there is evidence implicating specific genes. In this review, we present the evidence for a genetic contribution to DD and its component processes and review the current status of molecular genetic research aimed at identifying susceptibility genes for this common, complex disorder.

Chromosomes, Human↗

Genetic variation of brain-derived neurotrophic factor (BDNF) in bipolar disorder: case-control study of over 3000 individuals from the UK.

BACKGROUND: Brain-derived neurotrophic factor (BDNF) influences neuronal survival, proliferation and plasticity. Three family-based studies have shown association of the common Valine (Val) allele of the Val66Met polymorphism of the BDNF gene with susceptibility to bipolar disorder. AIMS: To replicate this finding. METHOD: We genotyped the Val66Met polymorphism in our UK White bipolar case-control sample (n=3062). RESULTS: We found no overall evidence of allele or genotype association. However, we found association with disease status in the subset of 131 individuals that had experienced rapid cycling at some time (P=0.004). We found a similar association on re-analysis of our previously reported family-based association sample (P < 0.03, one-tailed test). CONCLUSIONS: Variation at the Val66Met polymorphism of BDNF does not play a major role in influencing susceptibility to bipolar disorder as a whole, but is associated with susceptibility to the rapid-cycling subset of the disorder.

Bipolar Disorder↗

In silico discrimination of single nucleotide polymorphisms and pathological mutations in human gene promoter regions by means of local DNA sequence context and regularity.

DNA sequence features were sought that could be used for the in silico ascertainment of the likely functional consequences of single nucleotide changes in human gene promoter regions. To identify relevant features of the local DNA sequence context, we transformed into consensus tables the nucleotide composition of sequences flanking 101 promoter SNPs of type C<-->T or A<-->G, defined empirically as being either 'functional' or 'non-functional' on the basis of a standardised reporter gene assay. The similarity of a given sequence to these consensus tables was then measured by means of the Shapiro-Senapathy score. A decision rule with the potential to discriminate between empirically ascertained functional and non-functional SNPs was proposed that potentiated discrimination between functional and non-functional SNPs with a sensitivity of 80% and a specificity of 20%. Two further datasets (viz. disease-associated SNPs of types A<-->G and C<-->T (N = 75) and pathological promoter mutations (transitions, N = 114)) were retrieved from the Human Gene Mutation Database (HGMD; http://www.hgmd.org/) and analyzed using consensus tables derived from the functional and non-functional promoter SNPs; approximately 70% were correctly recognized as being of probable functional significance. Complexity analysis was also used to quantify the regularity of the local DNA sequence environment. Functional SNPs/mutations of type C<-->T were found to occur in DNA regions characterized by lower average sequence complexity as measured with respect to symmetric elements; complexity values increased gradually from functional SNPs and pathological mutations to functional disease-associated SNPs and non-functional SNPs. This may reflect the internal axial symmetry that frequently characterizes transcription factor binding sites.

Algorithms↗

Genes for schizophrenia and bipolar disorder? Implications for psychiatric nosology.

It has been conventional for psychiatric research, including the search for predisposing genes, to proceed under the assumption that schizophrenia and bipolar disorder are separate disease entities with different underlying etiologies. These represent Emil Kraepelin's traditional dichotomous classification of the so-called "functional" psychoses and form the basis of modern diagnostic practice. However, findings emerging from many fields of psychiatric research do not fit well with this model. In particular, the pattern of findings emerging from genetic studies shows increasing evidence for an overlap in genetic susceptibility across the traditional classification categories-including association findings at DAOA(G72), DTNBP1 (dysbindin), COMT, BDNF, DISC1, and NRG1. The emerging evidence suggests the possibility of relatively specific relationships between genotype and psychopathology. For example, DISC1 and NRG1 may confer susceptibility to a form of illness with mixed features of schizophrenia and mania. The elucidation of genotype-phenotype relationships is at an early stage, but current findings highlight the need to consider alternative approaches to classification and conceptualization for psychiatric research rather than continuing to rely heavily on the traditional Kraepelinian dichotomy. As psychosis susceptibility genes are identified and characterized over the next few years, this will have a major impact on our understanding of disease pathophysiology and will lead to changes in classification and the clinical practice of psychiatry.

Bipolar Disorder↗