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Query: UMLS:C0036341 (schizophrenia)
 60,220 document(s) hit in 31,850,051 MEDLINE articles (0.00 seconds)

For Mendelian disorders, it is usually simple to classify individuals as either affected or unaffected. By contrast, for "complex" phenotypes, the diagnostic boundary of the disorder is often uncertain. This paper explores the following question: to most efficiently detect linkage in such a complex phenotype by the affected sib pair method, where should the diagnostic threshold be drawn? The model assumes that the disorder is due to a generalized two-allele single major locus (SML) where liability in each genotype is normally distributed. Evidence for linkage between the marker and disease loci is highly dependent on the location of the threshold. The relationship between the placement of the threshold and population linkage information (PLI) is Gaussian-like. At high thresholds, linkage efficiency (LE) (or the amount of linkage information per affected sib pair) is high but PLI is low because the number of affected sib pairs is very small. At low thresholds, the number of affected sib pairs is high, but PLI is low because LE is very low. The model is applied to published SML parameters for schizophrenia, and maximal PLI is achieved at thresholds broader than those for schizophrenia alone.
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PMID:The impact of varying diagnostic thresholds on affected sib pair linkage analysis. 320 53

Unlike simple rare Mendelian disorders, the genetic basis for common disorders is unclear. A general model of the genetics of common complex disorders is proposed which emphasizes the shared nature of common alleles in related common disorders, such as schizophrenia and bipolar disorder, Type II diabetes and obesity, and among autoimmune diseases. This model, the common variants/multiple disease hypothesis, emphasizes that many disease genes may not be disease specific. Common deleterious alleles, found at a relatively high frequency in the population may play a role in related clinical phenotypes in the context of different genetic backgrounds and under different environmental conditions.
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PMID:The common variants/multiple disease hypothesis of common complex genetic disorders. 1496 46

The study of schizophrenia genetics has revealed much about the disease but none of the essential secrets of its etiology, so far, for numerous reasons. First, schizophrenia is a complex trait, influenced by both genes and environment. Second, it appears to be a highly heterogeneous disease, with locus and allelic heterogeneity both between and within families likely. Third, since it is common, it is likely that the genetic liability variants are common, and so are found with relatively high frequency in the general population. Fourth, linkage methods, which deliver rapid coverage of the genome, have great power to identify single genes causing Mendelian disorders but are poorly suited to the genetic architecture of complex traits. Although association methods are undeniably more powerful in such situations, affordable technologies to deliver the much higher density whole genome coverage required are not yet available and candidate gene studies of schizophrenia have not produced robust and replicable results. In spite of these limitations, there are now sufficient data to support several conclusions. Numerous regions of the human genome give consistent, though by no means unanimous, support for linkage. The precise nature of these signals is not yet understood, and power to position the effects is poor, but metanalyses show the co-occurrence is unlikely to be due to chance. Combined approaches utilizing linkage for rapid genome coverage and association for fine-scale follow-up have identified several promising candidate genes. Although the definition of replication in a complex trait is itself complex, a number of these candidates have been supported by numerous studies. These converging lines of evidence suggest that the genetics of schizophrenia, long considered a most intractable problem, are at last beginning to be unraveled.
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PMID:Linkage studies of schizophrenia. 1518 2

A substantial contribution of genetic factors to the risk of psychiatric disorders such as schizophrenia, bipolar disorder, autism, and drug and alcohol dependence has already been established. However, the familial transmission of these disorders cannot be explained by simple Mendelian models of inheritance, and non-genetic factors must also play a substantial role in their etiologies. Furthermore, the prevalence of any major psychiatric disorder is a great deal higher than that of Mendelian disorders. It has been suggested that evolutionary forces would rapidly eliminate large gene effects, which would suggest that mental disorders, which are highly prevalent, are associated with minor gene effects (Risch, 1994). The current paradigm is that genes with small interacting genetic effects, in conjunction with environmental factors, affect the risk for psychiatric disease. New laboratory and statistical methodology and database tools, and the availability of large clinical samples for the study of linkage and association sustain optimism that genes involved with these diseases will be characterized in the near future. This accomplishment should in turn lead not only to a better understanding of the primary molecular pathophysiology and to more specific and effective therapies, but also to a better understanding of non-genetic risk factors that could be targets for preventive strategies.
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PMID:Complexities in psychiatric genetics. 1619 61

Genetics has a entered golden post genomic era that promises to greatly improve our understanding of the etiology of complex familial disorders. Many forms of behavior are familial but Mendelian disorders are rare, and common conditions have complex inheritance. Twin and adoption studies confirm that major psychiatric disorders such as schizophrenia and bipolar affective disorder are highly heritable. There is also emerging evidence of some overlap between these disorders. Several susceptibility loci for schizophrenia have been identified, at least one of which is also a susceptibility gene for bipolar disorder. The first susceptibility genes involved in major psychiatric disorders have been identified and more will soon follow with the exploitation of emerging technologies that allow whole genome association studies.
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PMID:Gene polymorphisms and behavior. 1731 48

Unlike stunning breakthroughs in the identification of genes for Mendelian disorders during the last three decades, gene identification in most complex disorders has been full of twists and turns and little progress. Doing more of the same will not guarantee success. The lessons learned argue for a need to reconsider genetic models that are appropriate for the disorder in question along with an interdisciplinary, systematic approach using genomic methods that have now become possible. We will use schizophrenia as an example to review the genetic progress to date that has been disappointing. We will argue that the causation of this complex disease may involve heterogeneous genomic changes of major effect. We will provide three approaches, retroviral transpositions, methylation, and copy number variations, to test this hypothesis. We will present arguments to suggest that such experiments will be most effective if undertaken on monozygotic twins. It will include our experience with associated experiments on the monozygotic twins discordant for schizophrenia. The results support that (epi)genomic changes of major effect, rather than accumulation of mutations of small effect, underlie the causation of this complex disease. More important, this experimental strategy will be an effective strategy for studies on other complex (behavioural) disorders as well.
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PMID:(Epi)genomics and neurodevelopment in schizophrenia: monozygotic twins discordant for schizophrenia augment the search for disease-related (epi)genomic alterations. 1913 67

The discovery of 'high-risk' de novo copy number variants (CNVs) associated with neuropsychiatric disorders such as schizophrenia offers the opportunity to translate these findings into useful tools for clinical geneticists. However, this will require estimation of penetrance for these variants, which has not yet been properly considered. To facilitate this process, we estimated the penetrance of CNVs associated with schizophrenia, at 15q13.3, 1q21.1, 15q11.2, 17p12, 2p16.3, 16p13.1 and 16p11.2 with a novel Bayesian method applied to pooled data from published case-control studies. For these CNVs, penetrance for schizophrenia was between 2 and 7.4%, which contrasts with the much higher penetrance for schizophrenia of the 22q11.2 deletions found in velo-cardio-facial syndrome. The highest penetrance was for 15q13.3 deletion (6-9% in individual studies) and the lowest was for 15q11.2 (2%). CNVs confer much higher risk for schizophrenia than common variants, but their penetrance is substantially lower than Mendelian disorders or other syndromic conditions. Since these CNVs predispose to multiple disorders, including epilepsy, autism and intellectual impairment, penetrance estimates will also need to take into account diagnostic specificity, and their overall penetrance for any neuropsychiatric disorder is likely to be much higher. Thus, although CNVs are still far from being clinically useful or relevant to genetic counselling for specific disorders, their detection may hold an important clinical value in predicting negative developmental outcomes.
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PMID:Penetrance for copy number variants associated with schizophrenia. 2058 3

Human germline mutations arise anew during meiosis in every generation. Such spontaneously occurring genetic variants are termed de novo mutations. Although the introduction of microarray based approaches led to the discovery of numerous de novo copy number variants underlying a range of human genetic conditions, de novo single nucleotide variants (SNVs) remained refractory to analysis at the whole genome level until the advent of next generation sequencing technologies such as whole genome sequencing and whole exome sequencing. These approaches have recently allowed the estimation of the mutation rate of de novo SNVs and greatly increased our understanding of their contribution to human genetic disease. Indeed, de novo SNVs have been found to underlie various common human neurodevelopmental conditions such as schizophrenia, autism and intellectual disability, as well as sporadic cases of rare Mendelian disorders. In many cases, however, confirmation of the pathogenicity of identified de novo SNVs remains a major challenge.
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PMID:From the periphery to centre stage: de novo single nucleotide variants play a key role in human genetic disease. 2339 85

Nicotinic acetylcholine receptors represent a family of ligand-gated ion channels that are widely expressed in the central and peripheral nervous systems. To date, 16 genes encoding subunits of mammalian nicotinic acetylcholine receptors have been identified. The various subunits form homomeric or heteromeric receptor proteins, allowing for a complex and adaptable system of nicotinic neurotransmission. Mutations of nicotinic receptor genes can cause Mendelian disorders, most importantly congenital myasthenic syndromes, multiple pterygium syndromes, and nocturnal frontal lobe epilepsies. Haploinsufficiency of CHRNA7 predisposes to neuropsychiatric phenotypes in 15q13.3 deletion syndrome. The role of various nicotinic receptor genes is also discussed for complex disorders such as addiction, schizophrenia, Alzheimer disease, and Parkinson disease.
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PMID:Nicotinic acetylcholine receptors in human genetic disease. 2455 25

The influence of paternal age on the risk for sporadic forms of Mendelian disorders is well known, but a burgeoning recent literature demonstrates, in addition, a paternal age effect for complex neuropsychiatric conditions, including schizophrenia, autism, bipolar disorder, and even for learning potential, expressed as intelligence. Mental illness is costly to patients, their family, and the public health system, accounting for the largest portion of disability costs in our economy. The delayed onset of neuropsychiatric conditions and lack of physical manifestations at birth are common frequencies in the population that have obscured the recognition that a portion of the risks for mental conditions is associated with paternal age. Identification of these risk pathways may be leveraged for knowledge about mental function and for future screening tests. However, only a small minority of at-risk offspring are likely to have such a psychiatric or learning disorder attributable to paternal age, including the children of older fathers.
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PMID:Paternal age and mental health of offspring. 2595 69


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