The Role of Copy Number Variation in Psychiatric Disorders

2018 ◽  
pp. 84-95
Author(s):  
Elliott Rees ◽  
George Kirov

Copy number variants (CNVs) are deletions, duplications, inversions, or translocations of large DNA segments. They can play a significant role in human disease. Thirteen CNVs have received strong statistical support for involvement in schizophrenia. They are all rare in cases (<1%), much rarer among controls, and have high odds ratios (ORs) for causing disease. The same CNVs also increase risk for autism spectrum disorders, developmental delay, and medical/physical comorbidities. The penetrance of these CNVs for any disorder is relatively high, ranging from 10% for 15q11.2 deletions to nearly 100% for deletions at 22q11.2. Strong selection pressure operates against carriers of these CNVs. Most of these are formed by non-allelic homologous recombination (NAHR), which leads to high mutation rates, thus maintaining the rates of these CNVs in the general population, despite the strong selection forces.

2020 ◽  
Author(s):  
Stephen Cristiano ◽  
David McKean ◽  
Jacob Carey ◽  
Paige Bracci ◽  
Paul Brennan ◽  
...  

AbstractGermline copy number variants (CNVs) increase risk for many diseases, yet detection of CNVs and quantifying their contribution to disease risk in large-scale studies is challenging. We developed an approach called CNPBayes to identify latent batch effects, to provide probabilistic estimates of integer copy number across the estimated batches, and to fully integrate the copy number uncertainty in the association model for disease. We demonstrate this approach in a Pancreatic Cancer Case Control study of 7,598 participants where the major sources of technical variation were not captured by study site and varied across the genome. Candidate associations aided by this approach include deletions of 8q24 near regulatory elements of the tumor oncogene MYC and of Tumor Supressor Candidate 3 (TUSC3). This study provides a robust Bayesian inferential framework for estimating copy number and evaluating the role of copy number in heritable diseases.


Author(s):  
Alexander Charney ◽  
Pamela Sklar

Schizophrenia and bipolar disorder are the classic psychotic disorders. Both diseases are strongly familial, but have proven recalcitrant to genetic methodologies for identifying the etiology until recently. There is now convincing genetic evidence that indicates a contribution of many DNA changes to the risk of becoming ill. For schizophrenia, there are large contributions of rare copy number variants and common single nucleotide variants, with an overall highly polygenic genetic architecture. For bipolar disorder, the role of copy number variation appears to be much less pronounced. Specific common single nucleotide polymorphisms are associated, and there is evidence for polygenicity. Several surprises have emerged from the genetic data that indicate there is significantly more molecular overlap in copy number variants between autism and schizophrenia, and in common variants between schizophrenia and bipolar disorder.


2019 ◽  
Vol 5 (1) ◽  
pp. e307 ◽  
Author(s):  
Vafa Alakbarzade ◽  
Thomas Iype ◽  
Barry A. Chioza ◽  
Royana Singh ◽  
Gaurav V. Harlalka ◽  
...  

ObjectiveTo elucidate the genetic cause of a large 5 generation South Indian family with multiple individuals with predominantly an upper limb postural tremor and posturing in keeping with another form of tremor, namely, dystonic tremor.MethodsWhole-genome single nucleotide polymorphism (SNP) microarray analysis was undertaken to look for copy number variants in the affected individuals.ResultsWhole-genome SNP microarray studies identified a tandem duplicated genomic segment of chromosome 15q24 present in all affected family members. Whole-genome sequencing demonstrated that it comprised a ∼550-kb tandem duplication encompassing the entire LINGO1 gene.ConclusionsThe identification of a genomic duplication as the likely molecular cause of this condition, resulting in an additional LINGO1 gene copy in affected cases, adds further support for a causal role of this gene in tremor disorders and implicates increased expression levels of LINGO1 as a potential pathogenic mechanism.


2019 ◽  
Vol 10 (1) ◽  
Author(s):  
L. D’Abate ◽  
S. Walker ◽  
R. K. C. Yuen ◽  
K. Tammimies ◽  
J. A. Buchanan ◽  
...  

AbstractIdentification of genetic biomarkers associated with autism spectrum disorders (ASDs) could improve recurrence prediction for families with a child with ASD. Here, we describe clinical microarray findings for 253 longitudinally phenotyped ASD families from the Baby Siblings Research Consortium (BSRC), encompassing 288 infant siblings. By age 3, 103 siblings (35.8%) were diagnosed with ASD and 54 (18.8%) were developing atypically. Thirteen siblings have copy number variants (CNVs) involving ASD-relevant genes: 6 with ASD, 5 atypically developing, and 2 typically developing. Within these families, an ASD-related CNV in a sibling has a positive predictive value (PPV) for ASD or atypical development of 0.83; the Simons Simplex Collection of ASD families shows similar PPVs. Polygenic risk analyses suggest that common genetic variants may also contribute to ASD. CNV findings would have been pre-symptomatically predictive of ASD or atypical development in 11 (7%) of the 157 BSRC siblings who were eventually diagnosed clinically.


2010 ◽  
Vol 156 (2) ◽  
pp. 115-124 ◽  
Author(s):  
Anna Bremer ◽  
MaiBritt Giacobini ◽  
Mats Eriksson ◽  
Peter Gustavsson ◽  
Viviann Nordin ◽  
...  

2013 ◽  
Vol 22 (1) ◽  
pp. 71-78 ◽  
Author(s):  
Caroline Nava ◽  
Boris Keren ◽  
Cyril Mignot ◽  
Agnès Rastetter ◽  
Sandra Chantot-Bastaraud ◽  
...  

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