Copy number variation: new insights in genome diversity

DNA copy number variation has long been associated with specific chromosomal rearrangements and genomic disorders, but its ubiquity in mammalian genomes was not fully realized until recently. Although our understanding of the extent of this variation is still developing, it seems likely that, at least in humans, copy number variants (CNVs) account for a substantial amount of genetic variation. Since many CNVs include genes that result in differential levels of gene expression, CNVs may account for a significant proportion of normal phenotypic variation. Current efforts are directed toward a more comprehensive cataloging and characterization of CNVs that will provide the basis for determining how genomic diversity impacts biological function, evolution, and common human diseases.     

Association of common copy number variations with diseases北大核心CSCD

Genomic polymorphisms come in various forms including single nucleotide variations, translocations, insertions and copy number variations (CNVs). As a form of structural variation, the CNVs comprise common and rare forms based on their populational frequencies. Studies have demonstrated that certain CNVs are associated with risks for neuro-developmental diseases, viral infections, chronic inflammations, and cancers. With the development of high-resolution genome typing technologies such as microarrays and whole genome sequencing, the human genomic CNVs map has been continuously improved and refined. In-depth study of CNVs not only can provide comprehensive understanding for their structural variations and genetic evolution, but also provide new insights into genetic factors contributing to such diseases. In this paper, the general characteristics, pathogenesis and detection methods for the CNVs, as well as their association with human diseases are reviewed. © 2016, West China University of Medical Sciences. All rights reserved.     

Implications of gene copy-number variation in health and diseases

Inter-individual genomic variations have recently become evident with advances in sequencing techniques and genome-wide array comparative genomic hybridization. Among such variations single nucleotide polymorphisms (SNPs) are widely studied and better defined because of availability of large-scale detection platforms. However, insertion-deletions, inversions, copy-number variations (CNVs) also populate our genomes. The large structural variations (>3?Mb) have been known for past 20 years, however, their link to health and disease remain ill-defined. CNVs are defined as the segment of DNA >1?kb in size, and compared with reference genome vary in its copy number. All these types of genomic variations are bound to have vital role in disease susceptibility and drug response. In this review, the discussion is confined to CNVs and their link to health, diseases and drug response. There are several CNVs reported till date, which have important roles in an individual's susceptibility to several complex and common disorders. This review compiles some of these CNVs and analyzes their involvement in diseases in different populations, analyses available evidence and rationalizes their involvement in the development of disease phenotype. Combined with SNP, additional genomic variations including CNV, will provide better correlations between individual genomic variations and health.     

Profiling of copy number variations (CNVs) in healthy individuals from three ethnic groups using a human genome 32 K BAC-clone-based array

To further explore the extent of structural large-scale variation in the human genome, we assessed copy number variations (CNVs) in a series of 71 healthy subjects from three ethnic groups. CNVs were analyzed using comparative genomic hybridization (CGH) to a BAC array covering the human genome, using DNA extracted from peripheral blood, thus avoiding any culture-induced rearrangements. By applying a newly developed computational algorithm based on Hidden Markov modeling, we identified 1,078 autosomal CNVs, including at least two neighboring/overlapping BACs, which represent 315 distinct regions. The average size of the sequence polymorphisms was approximately 350 kb and involved in total approximately 117 Mb or approximately 3.5% of the genome. Gains were about four times more common than deletions, and segmental duplications (SDs) were overrepresented, especially in larger deletion variants. This strengthens the notion that SDs often define hotspots of chromosomal rearrangements. Over 60% of the identified autosomal rearrangements match previously reported CNVs, recognized with various platforms. However, results from chromosome X do not agree well with the previously annotated CNVs. Furthermore, data from single BACs deviating in copy number suggest that our above estimate of total variation is conservative. This report contributes to the establishment of the common baseline for CNV, which is an important resource in human genetics.     

Genomic disorders 20 years on—mechanisms for clinical manifestations

Genomic disorders result from copy‐number variants (CNVs) or submicroscopic rearrangements of the genome rather than from single nucleotide variants (SNVs). Diverse technologies, including array comparative genomic hybridization (aCGH) and single nucleotide polymorphism (SNP) microarrays, and more recently, whole genome sequencing and whole‐exome sequencing, have enabled robust genome‐wide unbiased detection of CNVs in affected individuals and in reportedly healthy controls. Sequencing of breakpoint junctions has allowed for elucidation of upstream mechanisms leading to genomic instability and resultant structural variation, whereas studies of the association between CNVs and specific diseases or susceptibility to morbid traits have enhanced our understanding of the downstream effects. In this review, we discuss the hallmarks of genomic disorders as they were defined during the first decade of the field, including genomic instability and the mechanism for rearrangement defined as nonallelic homologous recombination (NAHR); recurrent vs nonrecurrent rearrangements; and gene dosage sensitivity. Moreover, we highlight the exciting advances of the second decade of this field, including a deeper understanding of genomic instability and the mechanisms underlying complex rearrangements, mechanisms for constitutional and somatic chromosomal rearrangements, structural intra‐species polymorphisms and susceptibility to NAHR, the role of CNVs in the context of genome‐wide copy number and single nucleotide variation, and the contribution of noncoding CNVs to human disease.     

Comparative genome hybridization suggests a role for NRXN1 and APBA2 in schizophrenia

Copy number variations (CNVs) account for a substantial proportion of human genomic variation, and have been shown to cause neurodevelopmental disorders. We sought to determine the relevance of CNVs to the aetiology of schizophrenia (SZ). Whole-genome, high-resolution, tiling path BAC array comparative genomic hybridization (array CGH) was employed to test DNA from 93 individuals with DSM-IV SZ. Common DNA copy number changes that are unlikely to be directly pathogenic in SZ were filtered out by comparison to a reference dataset of 372 control individuals analyzed in our laboratory, and a screen against the Database of Genomic Variants. The remaining aberrations were validated with Affymetrix 250K SNP arrays or 244K Agilent oligo-arrays and tested for inheritance from the parents. A total of 13 aberrations satisfied our criteria. Two of them are very likely to be pathogenic. The first one is a deletion at 2p16.3 that was present in an affected sibling and disrupts NRXN1. The second one is a de novo duplication at 15q13.1 spanning APBA2. The proteins of these two genes interact directly and play a role in synaptic development and function. Both genes have been affected by CNVs in patients with autism and mental retardation, but neither has been previously implicated in SZ.     

拷贝数目变异研究进展

人类基因组中的DNA 拷贝数目变异Copy Number Variation（CNVs）一直以来都认为分布频率较低,并与疾病的发生以及不同个体对于疾病的易感性相关。随着Hapmap研究计划的顺利进行,研究者逐渐发现CNVs广泛分布于人基因组中。黑猩猩和实验室近交系的小鼠基因组也存在CNVs的广泛分布。目前已有多项研究证明了CNVs是人类基因组变异的主要原因,本综述将从CNVs的定义及其在健康人群的分布研究以及与疾病的相关性研究,CNVs的形成机制和CNVs的进化等方面对最新的CNVs研究进展做较为全面概述。     

拷贝数变异的分型检测技术

拷贝数变异（copynumbervariants,CNVs）是生物基因组中一种重要的遗传变异形式。研究发现CNVs与许多人类复杂疾病相关,在研究个体表型差异和基因组进化上具有重要意义。现就各CNVs检测技术的原理、发展现状、优缺点及意义作一综述。     

Rare copy number variants in neuropsychiatric disorders: Specific phenotype or not?

From a number of genome-wide association studies it was shown that de novo and/or rare copy number variants (CNVs) are found at an increased frequency in neuropsychiatric diseases. In this study we examined the prevalence of CNVs in six genomic regions (1q21.1, 2p16.3, 3q29, 15q11.2, 15q13.3, and 16p11.2) previously implicated in neuropsychiatric diseases. Hereto, a cohort of four neuropsychiatric disorders (schizophrenia, bipolar disorder, major depressive disorder, and intellectual disability) and control individuals from three different populations was used in combination with Multilpex Amplicon Quantifiaction (MAQ) assays, capable of high resolution (kb range) and custom-tailored CNV detection. Our results confirm the etiological candidacy of the six selected CNV regions for neuropsychiatric diseases. It is possible that CNVs in these regions can result in disturbed brain development and in this way lead to an increased susceptibility for different neuropsychiatric disorders, dependent on additional genetic and environmental factors. Our results also suggest that the neurodevelopmental component is larger in the etiology of schizophrenia and intellectual disability than in mood disorders. Finally, our data suggest that deletions are in general more pathogenic than duplications. Given the high frequency of the examined CNVs (1-2%) in patients of different neuropsychiatric disorders, screening of large cohorts with an affordable and feasible method like the MAQ assays used in this study is likely to result in important progress in unraveling the genetic factors leading to an increased susceptibility for several psychiatric disorders. ? 2012 Wiley Periodicals, Inc.     

Linking chromosome abnormality and copy number variation

Nine out of 10 people has a chromosome copy number variation (CNV) of >1,000 bp of DNA. In some cases they are inconsequential, in other cases the variations cause disease or disability, and in most cases the relevance has not been elucidated. Several studies describe CNVs as "normal" biological variants while other studies suggest that CNVs may be associated with developmental disability. A concerted effort is needed to classify genes according to their dosage sensitivity, or to their lack of sensitivity. Over time, this effort will lead to the establishment of principles that permit the prediction of the consequence of any one genomic copy number change.     

Copy number variation in chemokine superfamily: the complex scene of CCL3L�CCCL4L genes in health and disease

Genome copy number changes (copy number variations: CNVs) include inherited, de novo and somatically acquired deviations from a diploid state within a particular chromosomal segment. CNVs are frequent in higher eukaryotes and associated with a substantial portion of inherited and acquired risk for various human diseases. CNVs are distributed widely in the genomes of apparently healthy individuals and thus constitute significant amounts of population‐based genomic variation. Human CNV loci are enriched for immune genes and one of the most striking examples of CNV in humans involves a genomic region containing the chemokine genes CCL3L and CCL4L. The CCL3L–CCL4L copy number variable region (CNVR) shows extensive architectural complexity, with smaller CNVs within the larger ones and with interindividual variation in breakpoints. Furthermore, the individual genes embedded in this CNVR account for an additional level of genetic and mRNA complexity: CCL4L1 and CCL4L2 have identical exonic sequences but produce a different pattern of mRNAs. CCL3L2 was considered previously as a CCL3L1 pseudogene, but is actually transcribed. Since 2005, CCL3L‐CCL4L CNV has been associated extensively with various human immunodeficiency virus‐related outcomes, but some recent studies called these associations into question. This controversy may be due in part to the differences in alternative methods for quantifying gene copy number and differentiating the individual genes. This review summarizes and discusses the current knowledge about CCL3L–CCL4L CNV and points out that elucidating their complete phenotypic impact requires dissecting the combinatorial genomic complexity posed by various proportions of distinct CCL3L and CCL4L genes among individuals.     

The impact of array genomic hybridization on mental retardation research: a review of current technologies and their clinical utility

Our understanding of the causes of mental retardation is benefiting greatly from whole-genome scans to detect submicroscopic pathogenic copy number variants (CNVs) that are undetectable by conventional cytogenetic analysis. The current method of choice for performing whole-genome scans for CNVs is array genomic hybridization (AGH). Several platforms are available for AGH, each with its own strengths and limitations. This review discusses considerations that are relevant to the clinical use of whole-genome AGH platforms for the diagnosis of pathogenic CNVs in children with mental retardation. Whole-genome AGH studies are a maturing technology, but their high diagnostic utility assures their increasing use in clinical genetics.     

Significant gene content variation characterizes the genomes of inbred mouse strains

The contribution to genetic diversity of genomic segmental copy number variations (CNVs) is less well understood than that of single-nucleotide polymorphisms (SNPs). While less frequent than SNPs, CNVs have greater potential to affect phenotype. In this study, we have performed the most comprehensive survey to date of CNVs in mice, analyzing the genomes of 42 Mouse Phenome Consortium priority strains. This microarray comparative genomic hybridization (CGH)-based analysis has identified 2094 putative CNVs, with an average of 10 Mb of DNA in 51 CNVs when individual mouse strains were compared to the reference strain C57BL/6J. This amount of variation results in gene content that can differ by hundreds of genes between strains. These genes include members of large families such as the major histocompatibility and pheromone receptor genes, but there are also many singleton genes including genes with expected phenotypic consequences from their deletion or amplification. Using a whole-genome association analysis, we demonstrate that complex multigenic phenotypes, such as food intake, can be associated with specific copy number changes.     

Copy number variation in autoimmunity — importance hidden in complexity?

Copy number variation, namely regions of the genome that can be either deleted or duplicated in a variable way, has emerged as an important source of genetic variance in the human genome. Genes with immunological functions are particularly prone to copy number variation, in part because this is a mechanism to expand the recognition repertoire; however, immunological genes not directly involved in immune recognition are also copy number variable but, despite the link between immunological function and copy number variation, very few copy number variants (CNVs) have been found to be associated with autoimmune diseases, even in recent large genome-wide CNV-association studies. Nonetheless, CNVs in FCGR3B, DEFB4, CCL3L1, C4A/B and NCF1 have been suggested to be associated with autoimmune diseases, although there is conflicting evidence in all cases. The reasons for the lack of definitive data on CNV-autoimmunity associations, as well as the technical challenges for the field are the focus of this review.     

Genome,epigenome and transcriptome analyses of a pair of monozygotic twins discordant for systemic lupus erythematosus

Information to distinguish genetic and environmental factors in the pathogenesis of multifactorial diseases can be obtained by investigation of disease development in monozygotic twins. Recent reports have shown that there are genomic and epigenomic differences between monozygotic twins. Genomic/epigenomic and gene expression analyses were performed in monozygotic twins discordant for systemic lupus erythematosus (SLE) to find the genes playing important roles in SLE pathogenesis. Single nucleotide polymorphism (SNP) and copy number variation (CNV) typing, CpG methylation and gene expression were analyzed. The discordances in SNPs and CNVs were not confirmed. Both CpG methylation and gene expression levels were different for 10 genes. There were no genomic differences between monozygotic twins discordant for SLE, but epigenomic and gene expression differences were detected. These findings provide information for better understanding of SLE pathogenesis.     

Genome-wide copy number analysis using copy number inferring tool (CNIT) and DNA pooling

Copy number variation (CNV) has become an important genomic structure element in the human population, and some CNVs are related to specific traits and diseases. Moreover, analysis of human genomes has been potentiated by the use of high-resolution microarrays that assess single nucleotide polymorphisms (SNPs). Although many programs have been designed to analyze data from Affymetrix SNP microarrays, they all have high false-positive rates (FPRs) in copy number (CN) analyses. Copy number analysis tool (CNAT) 4.0 is a recently developed program that offers improved CN estimation, but small amplifications and deletions are lost when using the smoothing procedure. Here, we propose a copy number inferring tool (CNIT) algorithm for the 100K SNP microarray to investigate CNVs at 29.6-kb resolution. CNIT estimated SNP allelic and total CN with reliable P values based on intensity data. In addition, the hidden Markov model (HMM) method was applied to predict regions having altered CN by considering contiguous SNPs. Based on a CN analysis of 23 unrelated Taiwanese and 30 HapMap Centre d'Etude du Polymorphisme Humain (CEPH) trios, CNIT showed higher accuracy and power than other programs. The FPRs and false-negative rates (FNRs) of CNIT were 0.1% and 0.16%, respectively. CNIT also showed better sensitivity for detecting small amplifications and deletions. Furthermore, DNA pooling of 10 and 30 normal unrelated individuals were applied to the 100K SNP microarray, respectively, and 12 common CN-variable regions were identified, suggesting that DNA pooling can be applied to discover common CNVs.     

Copy number variation analysis in the great apes reveals species-specific patterns of structural variation

Copy number variants (CNVs) are increasingly acknowledged as an important source of evolutionary novelties in the human lineage. However, our understanding of their significance is still hindered by the lack of primate CNV data. We performed intraspecific comparative genomic hybridizations to identify loci harboring copy number variants in each of the four great apes: bonobos, chimpanzees, gorillas, and orangutans. For the first time, we could analyze differences in CNV location and frequency in these four species, and compare them with human CNVs and primate segmental duplication (SD) maps. In addition, for bonobo and gorilla, patterns of CNV and nucleotide diversity were studied in the same individuals. We show that CNVs have been subject to different selective pressures in different lineages. Evidence for purifying selection is stronger in gorilla CNVs overlapping genes, while positive selection appears to have driven the fixation of structural variants in the orangutan lineage. In contrast, chimpanzees and bonobos present high levels of common structural polymorphism, which is indicative of relaxed purifying selection together with the higher mutation rates induced by the known burst of segmental duplication in the ancestor of the African apes. Indeed, the impact of the duplication burst is noticeable by the fact that bonobo and chimpanzee share more CNVs with gorilla than expected. Finally, we identified a number of interesting genomic regions that present high-frequency CNVs in all great apes, while containing only very rare or even pathogenic structural variants in humans.     

The noncoding RNA AK127244 in 2p16.3 locus: A new susceptibility region for neuropsychiatric disorders

The presence of redundant copy number variants (CNVs) in groups of patients with neurological diseases suggests that these variants could have pathogenic effect. We have collected array comparative genomic hybridization (CGH) data of about 2,500 patients affected by neurocognitive disorders and we observed that CNVs in 2p16.3 locus were as frequent as those in 15q11.2, being both the most frequent unbalances in our cohort of patients. Focusing to 2p16.3 region, unbalances involving NRXN1 coding region have been already associated with neuropsychiatric disorders, although with incomplete penetrance, but little is known about CNVs located proximal to the gene, in the long noncoding RNA AK127244. We found that, in our cohort of patients with neuropsychiatric disorders, the frequency of CNVs involving AK127244 was comparable to that of NRXN1 gene. Patients carrying 2p16.3 unbalances shared some common clinical characteristics regardless NRXN1 and AK127244 CNVs localization, suggesting that the AK127244 long noncoding RNA could be involved in neurocognitive disease with the same effect of NRXN1 unbalances. AK127244 as well as NRXN1 unbalances seem to have a particular influence on language development, behavior or mood, according with the topographic correlation between NRXN1 expression and prefrontal cortex functions.     

A genome-wide CNV association study on panic disorder in a Japanese population

Family and twin studies have indicated that genetic factors have an important role in panic disorder (PD), whereas its pathogenesis has remained elusive. We conducted a genome-wide copy number variation (CNV) association study to elucidate the involvement of structural variants in the etiology of PD. The participants were 2055 genetically unrelated Japanese people (535 PD cases and 1520 controls). CNVs were detected using Genome-Wide Human SNP array 6.0, determined by Birdsuite and confirmed by PennCNV. They were classified as rare CNVs (found in <1% of the total sample) or common CNVs (found in ≥5%). PLINK was used to perform global burden analysis for rare CNVs and association analysis for common CNVs. The sample yielded 2039 rare CNVs and 79 common CNVs. Significant increases in the rare CNV burden in PD cases were not found. Common duplications in 16p11.2 showed Bonferroni-corrected P-values <0.05. Individuals with PD did not exhibit an increased genome-wide rare CNV burden. Common duplications were associated with PD and found in the pericentromeric region of 16p11.2, which had been reported to be rich in low copy repeats and to harbor developmental disorders, neuropsychiatric disorders and dysmorphic features.     

Array CGH analysis of copy number variation identifies 1284 new genes variant in healthy white males: implications for association studies of complex diseases

The discovery of copy number variation in healthy individuals is far from complete, and owing to the resolution of detection systems used, the majority of loci reported so far are relatively large ( approximately 65%>10 kb). Applying a two-stage high-resolution array comparative genomic hybridization approach to analyse 50 healthy Caucasian males from northern France, we discovered 2208 copy number variants (CNVs) detected by more than one consecutive probe. These clustered into 1469 CNV regions (CNVRs), of which 721 are thought to be novel. The majority of these are small (median size 4.4 kb) and most have common boundaries, with a coefficient of variation less than 0.1 for 83% of endpoints in those observed in multiple samples. Only 6% of the CNVRs analysed showed evidence of both copy number losses and gains at the same site. A further 6089 variants were detected by single probes: 48% of these were observed in more than one individual. In total, 2570 genes were seen to intersect variants: 1284 in novel loci. Genes involved in differentiation and development were significantly over-represented and approximately half of the genes identified feature in the Online Mendelian Inheritance in Man database. The biological importance of many genes affected, along with the well-conserved nature of the majority of the CNVs, suggests that they could have important implications for phenotype and, thus, be useful for association studies of complex diseases.