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Copy number variation (CNV) has become well recognized in recent years. It has been estimated that common CNVs account for approximately 10% of the human genome and that they overlap hundreds of genes and other functional genetic elements. Although substantial progress in genome-wide CNV analysis has been made recently, there is still a need for a method that allows precise genotyping of selected CNVs. Here, we describe a novel strategy for CNV genotyping, taking advantage of the general principles of the multiplex ligation-dependent probe amplification (MLPA) method and short oligonucleotide probes, allowing easy custom design and generation of assays for almost any genomic region of interest. As a proof-of-concept, we developed two assays covering 17 candidate CNV regions that overlap human miRNA genes. Extensive quality control analysis demonstrated high reproducibility and reliability of the genotypes determined using our method. Detailed analysis of identified CNVs revealed that they are highly differentiated among the HapMap populations. The main advantages of the developed strategy include the simplicity of the assay design, its flexibility in terms of the selection of genomic regions, and its low cost (<$1-$10/genotype, depending on scale of experiment). These advantages make the presented strategy attractive for large-scale genetic analyses.
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http://dx.doi.org/10.1002/humu.22288 | DOI Listing |
Mol Cytogenet
August 2025
Prenatal Diagnostic Center, the Affiliated Qingyuan Hospital, Guangzhou Medical University (Qingyuan People's Hospital), Qingyuan, 511518, Guangdong Province, China.
Objective: This study aimed to investigate the role of pathogenic copy number variations (CNVs) in neurodevelopmental impairments among children with corpus callosum abnormalities (CCAs). We focused primarily on SLC6A3 associated mechanisms and aimed to delineate genotype-phenotype correlations in our cases.
Methods: From January 2021 to July 2023, 13 children with MRI-confirmed CCAs underwent chromosomal microarray analysis (CMA) for CNV detection.
Front Immunol
August 2025
Department of Oncology, The Affiliated Huaian No.1 People's Hospital of Nanjing Medical University, Huai'an, China.
Background: The protein belongs to the family and is primarily localized to early endosomes. It regulates the endocytic pathway through its GTPase activity, thereby affecting various aspects such as cell signaling and metabolic regulation. Dysfunction of is closely associated with the progression and deterioration of multiple types of tumors.
View Article and Find Full Text PDFMamm Genome
August 2025
AGB, NDRI, Karnal, India.
Copy Number Variants (CNVs) are the structural variations influencing more nucleotides when compared to other types of variations, having a greater impact on the regulation of gene expression, dosage of a gene, altering the coding sequences, all of which might lead to phenotypic variations. Research in the areas of the characterizing CNVs, their discovery and genesis, and their functional effects is in infancy particularly in Indian cattle breeds. We hypothesized that due to the intensive selection for production traits carried out for a premium milch crossbred cattle Karan-fries, they might be characterized by unique CNVs.
View Article and Find Full Text PDFIEEE Trans Comput Biol Bioinform
January 2025
DNA copy number variations (CNV) carry information on the mis-regulation of DNA replication in cancer cells, making the study of CNVs an indispensable component of cancer genome analysis. Nevertheless, genomic waves present in various platforms of DNA copy number data can impede precise CNV detection. In this paper, we propose to enhance the classic fused Lasso algorithm by accounting for the effects of wave patterns in DNA copy number data.
View Article and Find Full Text PDFRare copy number variants (CNVs) are a key component of the genetic basis of psychiatric conditions, but have not been well characterized for most. We conducted a genome-wide CNV analysis across six diagnostic categories (N = 574,965): autism (ASD), ADHD, bipolar disorder (BD), major depressive disorder (MDD), PTSD, and schizophrenia (SCZ). We identified 35 genome-wide significant associations at 18 loci, including novel associations in SCZ ( - ) and in the combined cross-disorder analysis ( ).
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