Project description:The Illumina Human Omni2.5 array is a high resolution microarray platform for studying copy number variations in the human genome. It is widely being used in both clinical and research settings for identifying causative variants as well as interrogating the genome for benign variants. We employed this platform to investigate the risk factor CNVs in 281 individuals diagnosed with Antisocial Personality Disorder.
Project description:Copy number variants were determined in 3-5 males from 13 inbred laboratory mouse strains and 21 Mus musculus individuals caught in various geographic locations, using Nimblegen 385k arrays. CopyMap was used to predict CNVs.
Project description:The discovery of copy number variation in healthy individuals is far from complete, and due to the resolution of detection systems used, the majority of loci reported so far are relatively large (~65% > 10kb). Applying a two-stage high-resolution array CGH 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 copy number variant regions (CNVRs), of which 721 are thought to be novel. The majority of these are small (median size 4.4kb) and most have common boundaries, with a coefficient of variation less than 0.1 for 83% of end-points 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 overrepresented, and approximately half the genes identified feature in the OMIM database. The biological importance of many of the genes affected, along with the well-conserved nature of the majority of the copy number variants, suggests they could have important implications for phenotype and, thus, be useful for association studies of complex diseases. Keywords: comparative genomic hybridization
Project description:Ongoing studies using genomic microarrays and next-generation sequencing have demonstrated that the genetic contributions to cardiovascular diseases have been significantly ignored in the past. The aim of this study was to identify rare copy number variants in individuals with congenital pulmonary atresia (PA). Based on the hypothesis that rare structural variants encompassing key genes play an important role in heart development in PA patients, we performed high-resolution genome-wide microarrays for copy number variations (CNVs) in 82 PA patient-parent trios and 189 controls with an Illumina SNP array platform. CNVs were identified in 17/82 patients (20.7%), and eight of these CNVs (9.8%) are considered potentially pathogenic. Five de novo CNVs occurred at two known congenital heart disease (CHD) loci (16p13.1 and 22q11.2). Two de novo CNVs that may affect folate and vitamin B12 metabolism were identified for the first time. A de novo 1-Mb deletion at 17p13.2 may represent a rare genomic disorder that involves mild intellectual disability and associated facial features. high-resolution genome-wide microarrays for copy number variations (CNVs) in 82 PA patient-parent trios and 189 controls with an Illumina SNP array platform. Only 21 samples with potentially pathogenic CNVs are included in this records
Project description:Ongoing studies using genomic microarrays and next-generation sequencing have demonstrated that the genetic contributions to cardiovascular diseases have been significantly ignored in the past. The aim of this study was to identify rare copy number variants in individuals with congenital pulmonary atresia (PA). Based on the hypothesis that rare structural variants encompassing key genes play an important role in heart development in PA patients, we performed high-resolution genome-wide microarrays for copy number variations (CNVs) in 82 PA patient-parent trios and 189 controls with an Illumina SNP array platform. CNVs were identified in 17/82 patients (20.7%), and eight of these CNVs (9.8%) are considered potentially pathogenic. Five de novo CNVs occurred at two known congenital heart disease (CHD) loci (16p13.1 and 22q11.2). Two de novo CNVs that may affect folate and vitamin B12 metabolism were identified for the first time. A de novo 1-Mb deletion at 17p13.2 may represent a rare genomic disorder that involves mild intellectual disability and associated facial features.
Project description:Copy number variants were determined in 3-5 males from 13 inbred laboratory mouse strains and 21 Mus musculus individuals caught in various geographic locations, using Nimblegen 385k arrays. CopyMap was used to predict CNVs. 3-5 males from 13 inbred strains and 21 Mus musculus caught in various geographic locations were compared to a single C57BL/6J individual by array comparative genome hybridisation.
Project description:Recent studies have established the role of rare copy number variants (CNVs) in several neurological disorders but the contribution of rare CNVs to cerebral palsy (CP) is not known. Fifty Caucasian families having children with CP were studied using two microarray designs. Potentially pathogenic, rare (<1% population frequency) CNVs were identified, and their frequency determined, by comparing the CNVs found in cases with 8329 adult controls with no known neurological disorders. Ten of the 50 cases (20%) had rare CNVs of potential relevance to CP; there were a total of 14 CNVs, which were observed in <0.1% (<8/8329) of the control population. Eight inherited from an unaffected mother: a 751-kb deletion including FSCB, a 1.5-Mb duplication of 7q21.13, a 534-kb duplication of 15q11.2, a 446-kb duplication including CTNND2, a 219-kb duplication including MCPH1, a 169-kb duplication of 22q13.33, a 64-kb duplication of MC2R, and a 135-bp exonic deletion of SLC06A1. Three inherited from an unaffected father: a 386-kb deletion of 12p12.2-p12.1, a 234-kb duplication of 10q26.13, and a 4-kb exonic deletion of COPS3. The inheritance was unknown for three CNVs: a 157-bp exonic deletion of ACOX1, a 693-kb duplication of 17q25.3, and a 265-kb duplication of DAAM1. This is the first systematic study of CNVs in CP, and although it did not identify de novo mutations, has shown inherited, rare CNVs involving potentially pathogenic genes and pathways requiring further investigation.
Project description:Copy-number variants (CNVs) are large-scale amplifications or deletions of DNA that can drive rapid adaptive evolution and result in large-scale changes in gene expression. Whereas alterations in the copy number of one or more genes within a CNV can confer a selective advantage, other genes within a CNV can decrease fitness when their dosage is changed. Dosage compensation - in which the gene expression output from multiple gene copies is less than expected - is one means by which an organism can mitigate the fitness costs of deleterious gene amplification. Previous research has shown evidence for dosage compensation at both the transcriptional level and at the level of protein expression; however, the extent of compensation differs substantially between genes, strains, and studies. Here, we investigated sources of dosage compensation at multiple levels of gene expression regulation by defining the transcriptome, translatome and proteome of experimentally evolved yeast (Saccharomyces cerevisiae) strains containing adaptive CNVs.
Project description:The Illumina Human Omni2.5 array is a high resolution microarray platform for studying copy number variations in the human genome. It is widely being used in both clinical and research settings for identifying causative variants as well as interrogating the genome for benign variants. We employed this platform to investigate the risk factor CNVs in 95 individuals diagnosed with Fetal alcohol spectrum syndrome (FASD). We also examined 87 age-matched individuals with no symptoms of FASD or any neurodevelopmental disorders. We compared their CNVs to those of 10,851 population controls, in order to identify rare CNVs (<0.1% frequency) that might be relevant to FASD.