Multi-block Analysis of Genomic Data Using Generalized Canonical Correlation Analysis
Recently, there have been many studies in medicine related to genetic analysis. Many genetic studies have been performed to find genes associated with complex diseases. To find out how genes are related to disease, we need to understand not only the simple relationship of genotypes but also the way...
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BioMed Central
2018-12-01
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| Series: | Genomics & Informatics |
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| Online Access: | http://genominfo.org/upload/pdf/gi-2018-16-4-e33.pdf |
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| author | Inyoung Jun Wooree Choi Mira Park |
| author_facet | Inyoung Jun Wooree Choi Mira Park |
| author_sort | Inyoung Jun |
| collection | DOAJ |
| description | Recently, there have been many studies in medicine related to genetic analysis. Many genetic studies have been performed to find genes associated with complex diseases. To find out how genes are related to disease, we need to understand not only the simple relationship of genotypes but also the way they are related to phenotype. Multi-block data, which is a summation form of variable sets, is used for enhancing the analysis of the relationships of different blocks. By identifying relationships through a multi-block data form, we can understand the association between the blocks in comprehending the correlation between them. Several statistical analysis methods have been developed to understand the relationship between multi-block data. In this paper, we will use generalized canonical correlation methodology to analyze multi-block data from the Korean Association Resource project, which has a combination of single nucleotide polymorphism blocks, phenotype blocks, and disease blocks. |
| format | Article |
| id | doaj-art-b25a9db3b6ff4729a1e67c6d49c8674a |
| institution | Kabale University |
| issn | 2234-0742 |
| language | English |
| publishDate | 2018-12-01 |
| publisher | BioMed Central |
| record_format | Article |
| series | Genomics & Informatics |
| spelling | doaj-art-b25a9db3b6ff4729a1e67c6d49c8674a2025-02-02T18:43:57ZengBioMed CentralGenomics & Informatics2234-07422018-12-0116410.5808/GI.2018.16.4.e33535Multi-block Analysis of Genomic Data Using Generalized Canonical Correlation AnalysisInyoung Jun0Wooree Choi1Mira Park2 Department of Statistics, Korea University, Seoul 02841, Korea Samsung Bioepis, Incheon 21987, Korea Department of Preventive Medicine, Eulji University School of Medicine, Daejeon 34824, KoreaRecently, there have been many studies in medicine related to genetic analysis. Many genetic studies have been performed to find genes associated with complex diseases. To find out how genes are related to disease, we need to understand not only the simple relationship of genotypes but also the way they are related to phenotype. Multi-block data, which is a summation form of variable sets, is used for enhancing the analysis of the relationships of different blocks. By identifying relationships through a multi-block data form, we can understand the association between the blocks in comprehending the correlation between them. Several statistical analysis methods have been developed to understand the relationship between multi-block data. In this paper, we will use generalized canonical correlation methodology to analyze multi-block data from the Korean Association Resource project, which has a combination of single nucleotide polymorphism blocks, phenotype blocks, and disease blocks.http://genominfo.org/upload/pdf/gi-2018-16-4-e33.pdfdata interpretationgeneralized canonical correlation analysisgenome-wide association studysingle nucleotide polymorphisms |
| spellingShingle | Inyoung Jun Wooree Choi Mira Park Multi-block Analysis of Genomic Data Using Generalized Canonical Correlation Analysis Genomics & Informatics data interpretation generalized canonical correlation analysis genome-wide association study single nucleotide polymorphisms |
| title | Multi-block Analysis of Genomic Data Using Generalized Canonical Correlation Analysis |
| title_full | Multi-block Analysis of Genomic Data Using Generalized Canonical Correlation Analysis |
| title_fullStr | Multi-block Analysis of Genomic Data Using Generalized Canonical Correlation Analysis |
| title_full_unstemmed | Multi-block Analysis of Genomic Data Using Generalized Canonical Correlation Analysis |
| title_short | Multi-block Analysis of Genomic Data Using Generalized Canonical Correlation Analysis |
| title_sort | multi block analysis of genomic data using generalized canonical correlation analysis |
| topic | data interpretation generalized canonical correlation analysis genome-wide association study single nucleotide polymorphisms |
| url | http://genominfo.org/upload/pdf/gi-2018-16-4-e33.pdf |
| work_keys_str_mv | AT inyoungjun multiblockanalysisofgenomicdatausinggeneralizedcanonicalcorrelationanalysis AT wooreechoi multiblockanalysisofgenomicdatausinggeneralizedcanonicalcorrelationanalysis AT mirapark multiblockanalysisofgenomicdatausinggeneralizedcanonicalcorrelationanalysis |