Publication: Copy Number Variation Analysis from SNP Genotyping Microarrays in Large Cohorts of Neurological Disorders
dc.contributor.author | Pérez, Eduardo | |
dc.contributor.author | Niestroj, Lisa | |
dc.contributor.author | Martínez, Miguel | |
dc.contributor.author | Villaman, Camilo | |
dc.contributor.author | Irem, Elif | |
dc.contributor.author | Lal, Dennis | |
dc.contributor.author | Mata, Ignacio | |
dc.date.accessioned | 2023-03-31T19:34:00Z | |
dc.date.available | 2023-03-31T19:34:00Z | |
dc.date.issued | 2022 | |
dc.description.abstract | Copy number variants (CNVs) are a major source of genetic variation in the human genome, and they are highly heterogeneous in type, size, and frequency. CNVs represent the largest portion of genomic variation between humans, and a subset of CNVs has been associated with multiple rare and common neurological disorders. Although recent sequencing-based methods deliver increased resolution and greater power in detecting CNVs, SNP genotyping microarrays still provide a scalable opportunity to analyze CNVs in large cohorts of neurological disorders. In the past 15 years, case-control genome-wide association studies and population-based biobanks have widely used SNP genotyping microarrays to understand the heritability of common variants. As a result, massive amounts of SNP microarray data are available and provide a costefficient opportunity to repurpose the data and study large and rare CNVs. Here we describe a workflow to detect and analyze CNVs from SNP genotyping microarrays. We describe established CNV quality control procedures, CNV downstream analyses, case-control burden analysis, and validation protocols with particular focus on nervous system disorders and non-European datasets. | |
dc.description.version | Versión publicada | |
dc.identifier.citation | Copy number variation analysis from SNP genotyping microarrays in large cohorts of neurological disorders. Eduardo Pérez-Palma, Lisa-Marie Niestroj, Miguel Inca-Martínez, Camilo Villaman, Elif Irem Sarihan, Dennis Lal, Ignacio Mata. Book Chapter. Neuromethods. Springer Nature. DOI: 10.1007/978-1-0716-2357-2_10 | |
dc.identifier.doi | https://doi.org/10.1007/978-1-0716-2357-2_10 | |
dc.identifier.uri | https://repositorio.udd.cl/handle/11447/7227 | |
dc.language.iso | en | |
dc.subject | Copy number variation | |
dc.subject | CNVs | |
dc.subject | Genotyping | |
dc.subject | Structural variation | |
dc.subject | Neurological disorders | |
dc.subject | GWAS | |
dc.title | Copy Number Variation Analysis from SNP Genotyping Microarrays in Large Cohorts of Neurological Disorders | |
dc.type | Book chapter | |
dcterms.accessRights | Privado | |
dcterms.source | Genomic Structural Variants in Nervous System Disorders | |
dspace.entity.type | Publication |
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