ArticleHuman immunology2016
Bridging ImmunoGenomic Data Analysis Workflow Gaps (BIGDAWG): An integrated case-control analysis pipeline.
Article in Human immunology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 63 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
63 citing papers in PubMed, 86 citations in OpenAlex.
- HLA alleles and sustained peanut consumption promote IgG4 responses in subjects protected from peanut allergy.The Journal of clinical investigation · 2022Trial
- High Resolution Haplotype Analyses of Classical HLA Genes in Families With Multiple Sclerosis Highlights the Role of HLA-DP Alleles in Disease Susceptibility.Frontiers in immunology · 2021Trial
- A specific amino acid motif ofProceedings of the National Academy of Sciences of the United States of America · 2019Trial
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- Risk Haplotype of BTNL2 Predisposes Male Patients to NSTEMI: A Genetic and Functional Study.Research square · 2026Article
- HLA - C*03:02:02 and DPA1*01:03:01 protect against discoid rash in Thai Systemic Lupus Erythematosus patients.Scientific reports · 2026Article
- Classical HLA class II associations with ALS in Kuwait reveal a DR7-DQ2.2 risk haplotype.Frontiers in immunology · 2026Article
- HLAtools, Searching Shared HLA Amino Acid Residue Prevalence, and the Global Frequency Browsers: New Computational Resources for Working With HLA Data and Visualizing Global Patterns of HLA Variation.International journal of immunogenetics · 2025Article
- Influence of HLA Class I and II Polymorphisms on COVID-19 Severity in a South Brazilian Population.International journal of molecular sciences · 2025Article
- HLA Polymorphisms and COVID-19 Susceptibility and Severity: Insights From an Iranian Patients Cohort.Journal of cellular and molecular medicine · 2025Article
- Human leukocyte antigen variation is associated with cytomegalovirus serostatus in healthy individuals.American journal of human genetics · 2025Article
- Etiologic Determinants and Characteristics of Diabetes in Haitian Youth (EDDHY Study).Pediatric diabetes · 2025Article
- Telomere Length, HLA, and Longevity-Results from a Multicenter Study.International journal of molecular sciences · 2024Article
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- Fifty years of HLA-associated type 1 diabetes risk: history, current knowledge, and future directions.Frontiers in immunology · 2024Review
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- Influence of HLA-A, -B, -DR Polymorphisms on the Severity of COVID-19: A Case-Control Study in the Iranian Population.Archives of Iranian medicine · 2023Article
- Association between alleles, haplotypes, and amino acid variations in HLA class II genes and type 1 diabetes in Kuwaiti children.Frontiers in immunology · 2023Article
3 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 2 institutions in 1 country.
Funding
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.
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.