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Genome-wide copy number variant data for inflammatory bowel disease in a caucasian population
Genome-wide copy-number association studies offer new opportunities to identify the mechanisms underlying complex diseases, including chronic inflammatory, psychiatric disorders and others. We have used genotyping microarrays to analyse the copy-number variants (CNVs) from 243 Caucasian individuals...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6626884/ https://www.ncbi.nlm.nih.gov/pubmed/31338399 http://dx.doi.org/10.1016/j.dib.2019.104203 |
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author | Frenkel, Svetlana Bernstein, Charles N. Jin, Yong Won Sargent, Michael Kuang, Qin Jiang, Wenxin Wei, John Thiruvahindrapuram, Bhooma Scherer, Stephen W. Hu, Pingzhao |
author_facet | Frenkel, Svetlana Bernstein, Charles N. Jin, Yong Won Sargent, Michael Kuang, Qin Jiang, Wenxin Wei, John Thiruvahindrapuram, Bhooma Scherer, Stephen W. Hu, Pingzhao |
author_sort | Frenkel, Svetlana |
collection | PubMed |
description | Genome-wide copy-number association studies offer new opportunities to identify the mechanisms underlying complex diseases, including chronic inflammatory, psychiatric disorders and others. We have used genotyping microarrays to analyse the copy-number variants (CNVs) from 243 Caucasian individuals with Inflammatory Bowel Disease (IBD). The CNV data was obtained by using multiple quality control measures and merging the results of three different CNV detection algorithms: PennCNV, iPattern, and QuantiSNP. The final dataset contains 4,402 CNVs detected by two or three algorithms independently with high confidence. This paper provides a detailed description of the data generation and quality control steps. For further interpretation of the data presented in this article, please see the research article entitled ‘Copy number variation-based gene set analysis reveals cytokine signalling pathways associated with psychiatric comorbidity in patients with inflammatory bowel disease’. |
format | Online Article Text |
id | pubmed-6626884 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-66268842019-07-23 Genome-wide copy number variant data for inflammatory bowel disease in a caucasian population Frenkel, Svetlana Bernstein, Charles N. Jin, Yong Won Sargent, Michael Kuang, Qin Jiang, Wenxin Wei, John Thiruvahindrapuram, Bhooma Scherer, Stephen W. Hu, Pingzhao Data Brief Biochemistry, Genetics and Molecular Biology Genome-wide copy-number association studies offer new opportunities to identify the mechanisms underlying complex diseases, including chronic inflammatory, psychiatric disorders and others. We have used genotyping microarrays to analyse the copy-number variants (CNVs) from 243 Caucasian individuals with Inflammatory Bowel Disease (IBD). The CNV data was obtained by using multiple quality control measures and merging the results of three different CNV detection algorithms: PennCNV, iPattern, and QuantiSNP. The final dataset contains 4,402 CNVs detected by two or three algorithms independently with high confidence. This paper provides a detailed description of the data generation and quality control steps. For further interpretation of the data presented in this article, please see the research article entitled ‘Copy number variation-based gene set analysis reveals cytokine signalling pathways associated with psychiatric comorbidity in patients with inflammatory bowel disease’. Elsevier 2019-07-02 /pmc/articles/PMC6626884/ /pubmed/31338399 http://dx.doi.org/10.1016/j.dib.2019.104203 Text en © 2019 The Author(s) http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Biochemistry, Genetics and Molecular Biology Frenkel, Svetlana Bernstein, Charles N. Jin, Yong Won Sargent, Michael Kuang, Qin Jiang, Wenxin Wei, John Thiruvahindrapuram, Bhooma Scherer, Stephen W. Hu, Pingzhao Genome-wide copy number variant data for inflammatory bowel disease in a caucasian population |
title | Genome-wide copy number variant data for inflammatory bowel disease in a caucasian population |
title_full | Genome-wide copy number variant data for inflammatory bowel disease in a caucasian population |
title_fullStr | Genome-wide copy number variant data for inflammatory bowel disease in a caucasian population |
title_full_unstemmed | Genome-wide copy number variant data for inflammatory bowel disease in a caucasian population |
title_short | Genome-wide copy number variant data for inflammatory bowel disease in a caucasian population |
title_sort | genome-wide copy number variant data for inflammatory bowel disease in a caucasian population |
topic | Biochemistry, Genetics and Molecular Biology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6626884/ https://www.ncbi.nlm.nih.gov/pubmed/31338399 http://dx.doi.org/10.1016/j.dib.2019.104203 |
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