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Genome-wide copy number variant data for inflammatory bowel disease in a caucasian population

Authors :
Svetlana Frenkel
Charles N. Bernstein
Yong Won Jin
Michael Sargent
Qin Kuang
Wenxin Jiang
John Wei
Bhooma Thiruvahindrapuram
Stephen W. Scherer
Pingzhao Hu
Source :
Data in Brief, Vol 25, Iss , Pp - (2019)
Publication Year :
2019
Publisher :
Elsevier, 2019.

Abstract

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’.

Details

Language :
English
ISSN :
23523409
Volume :
25
Issue :
-
Database :
Directory of Open Access Journals
Journal :
Data in Brief
Publication Type :
Academic Journal
Accession number :
edsdoj.fffef7ad820d441e8688e49f2f895eea
Document Type :
article
Full Text :
https://doi.org/10.1016/j.dib.2019.104203