Bridging ImmunoGenomic Data Analysis Workflow Gaps (BIGDAWG): An integrated case-control analysis pipeline
- PMID: 26708359
- PMCID: PMC4828284
- DOI: 10.1016/j.humimm.2015.12.006
Bridging ImmunoGenomic Data Analysis Workflow Gaps (BIGDAWG): An integrated case-control analysis pipeline
Abstract
Bridging ImmunoGenomic Data-Analysis Workflow Gaps (BIGDAWG) is an integrated data-analysis pipeline designed for the standardized analysis of highly-polymorphic genetic data, specifically for the HLA and KIR genetic systems. Most modern genetic analysis programs are designed for the analysis of single nucleotide polymorphisms, but the highly polymorphic nature of HLA and KIR data require specialized methods of data analysis. BIGDAWG performs case-control data analyses of highly polymorphic genotype data characteristic of the HLA and KIR loci. BIGDAWG performs tests for Hardy-Weinberg equilibrium, calculates allele frequencies and bins low-frequency alleles for k×2 and 2×2 chi-squared tests, and calculates odds ratios, confidence intervals and p-values for each allele. When multi-locus genotype data are available, BIGDAWG estimates user-specified haplotypes and performs the same binning and statistical calculations for each haplotype. For the HLA loci, BIGDAWG performs the same analyses at the individual amino-acid level. Finally, BIGDAWG generates figures and tables for each of these comparisons. BIGDAWG obviates the error-prone reformatting needed to traffic data between multiple programs, and streamlines and standardizes the data-analysis process for case-control studies of highly polymorphic data. BIGDAWG has been implemented as the bigdawg R package and as a free web application at bigdawg.immunogenomics.org.
Keywords: Amino-acid analysis; BIGDAWG; Case-control analysis; HLA KIR data analysis; Haplotype analysis; Hardy–Weinberg testing; R package; Web app.
Copyright © 2015 American Society for Histocompatibility and Immunogenetics. Published by Elsevier Inc. All rights reserved.
Figures
Similar articles
-
The HLA-net GENE[RATE] pipeline for effective HLA data analysis and its application to 145 population samples from Europe and neighbouring areas.Tissue Antigens. 2014 May;83(5):307-23. doi: 10.1111/tan.12356. Tissue Antigens. 2014. PMID: 24738646 Review.
-
Analytical methods for disease association studies with immunogenetic data.Methods Mol Biol. 2012;882:245-66. doi: 10.1007/978-1-61779-842-9_14. Methods Mol Biol. 2012. PMID: 22665238 Free PMC article.
-
HLA Haplotype Validator for quality assessments of HLA typing.Hum Immunol. 2016 Mar;77(3):273-282. doi: 10.1016/j.humimm.2015.10.018. Epub 2015 Nov 10. Hum Immunol. 2016. PMID: 26546873 Free PMC article.
-
Genetic study of KIR and HLA ligands in 235 individuals from Northeastern Thailand.Hum Immunol. 2017 May-Jun;78(5-6):395-396. doi: 10.1016/j.humimm.2017.04.002. Epub 2017 Apr 18. Hum Immunol. 2017. PMID: 28431957
-
The immunogenetics of multiple sclerosis: A comprehensive review.J Autoimmun. 2015 Nov;64:13-25. doi: 10.1016/j.jaut.2015.06.010. Epub 2015 Jul 2. J Autoimmun. 2015. PMID: 26142251 Free PMC article. Review.
Cited by 19 articles
-
Protection or susceptibility to devastating childhood epilepsy: Nodding Syndrome associates with immunogenetic fingerprints in the HLA binding groove.PLoS Negl Trop Dis. 2020 Jul 8;14(7):e0008436. doi: 10.1371/journal.pntd.0008436. eCollection 2020 Jul. PLoS Negl Trop Dis. 2020. PMID: 32639997 Free PMC article.
-
Identification of HLA-A*02:06:01 as the primary disease susceptibility HLA allele in cold medicine-related Stevens-Johnson syndrome with severe ocular complications by high-resolution NGS-based HLA typing.Sci Rep. 2019 Nov 7;9(1):16240. doi: 10.1038/s41598-019-52619-2. Sci Rep. 2019. PMID: 31700100 Free PMC article.
-
Clinical features, biochemistry and HLA-DRB1 status in children and adolescents with diabetes in Dhaka, Bangladesh.Diabetes Res Clin Pract. 2019 Dec;158:107894. doi: 10.1016/j.diabres.2019.107894. Epub 2019 Oct 24. Diabetes Res Clin Pract. 2019. PMID: 31669629
-
Identification of HLA-DRB1*04:10 allele as risk allele for Japanese moyamoya disease and its association with autoimmune thyroid disease: A case-control study.PLoS One. 2019 Aug 14;14(8):e0220858. doi: 10.1371/journal.pone.0220858. eCollection 2019. PLoS One. 2019. PMID: 31412073 Free PMC article.
-
Next-generation sequencing reveals new information about HLA allele and haplotype diversity in a large European American population.Hum Immunol. 2019 Oct;80(10):807-822. doi: 10.1016/j.humimm.2019.07.275. Epub 2019 Jul 22. Hum Immunol. 2019. PMID: 31345698 Free PMC article.
Publication types
MeSH terms
Substances
Grant support
LinkOut - more resources
Full Text Sources
Research Materials
