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Query: UMLS:C0004352 (autism)
 32,579 document(s) hit in 31,850,051 MEDLINE articles (0.00 seconds)

Current models on the etiology of psychiatric disorders support the idea of a biologic cause as well as interactions of biologic systems with the environment. The elucidation of the genetic etiology is of paramount importance to understand the cause of psychiatric disorders. Human chromosome 18 was identified as one of the first chromosomes to be aberrant in psychiatric patients and has subsequently served as a model to identify the molecular cause. In this article I review a multitude of methodologies that can be used in determining the genetic basis of schizophrenia, affective disorder and autism associated with human chromosome 18. These strategies include the use of chromosome aberrations, linkage and association studies, mouse-human comparative genomics, mutation analysis on candidate genes, trinucleotide repeat expansion studies, search for genes demonstrating parental effects and bioinformatics. Current data from the use of these methods are cited from the literature. Linkage and association studies have suggested at least 2 candidate loci on the short and long arms of chromosome 18 for each of these psychiatric disorders. Some loci are supported by the mapping of chromosome aberrations from psychiatric patients. Mutation analyses of psychiatric patients with 4 candidate genes (NEDD4L, IMPA2, PACAP and GNAL) mapping within these loci have been unsuccessful, although an association was found with the IMPA2 gene in patients with schizophrenia. With these methods and findings, our understanding of the cause of psychiatric disorders associated with human chromosome 18 has improved and will advance, especially with emerging data from the human and rodent genome projects.
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PMID:Genetic analysis of psychiatric disorders associated with human chromosome 18. 1469 Mar 3

Copy number variations (CNVs) are implicated across many neurodevelopmental disorders (NDDs) and contribute to their shared genetic etiology. Multiple studies have attempted to identify shared etiology among NDDs, but this is the first genome-wide CNV analysis across autism spectrum disorder (ASD), attention deficit hyperactivity disorder (ADHD), schizophrenia (SCZ), and obsessive-compulsive disorder (OCD) at once. Using microarray (Affymetrix CytoScan HD), we genotyped 2,691 subjects diagnosed with an NDD (204 SCZ, 1,838 ASD, 427 ADHD and 222 OCD) and 1,769 family members, mainly parents. We identified rare CNVs, defined as those found in <0.1% of 10,851 population control samples. We found clinically relevant CNVs (broadly defined) in 284 (10.5%) of total subjects, including 22 (10.8%) among subjects with SCZ, 209 (11.4%) with ASD, 40 (9.4%) with ADHD, and 13 (5.6%) with OCD. Among all NDD subjects, we identified 17 (0.63%) with aneuploidies and 115 (4.3%) with known genomic disorder variants. We searched further for genes impacted by different CNVs in multiple disorders. Examples of NDD-associated genes linked across more than one disorder (listed in order of occurrence frequency) are NRXN1, SEH1L, LDLRAD4, GNAL, GNG13, MKRN1, DCTN2, KNDC1, PCMTD2, KIF5A, SYNM, and long non-coding RNAs: AK127244 and PTCHD1-AS. We demonstrated that CNVs impacting the same genes could potentially contribute to the etiology of multiple NDDs. The CNVs identified will serve as a useful resource for both research and diagnostic laboratories for prioritization of variants.
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PMID:A large data resource of genomic copy number variation across neurodevelopmental disorders. 3160 16