ArticleBioinformatics (Oxford, England)2015
cgmisc: enhanced genome-wide association analyses and visualization.
Article in Bioinformatics (Oxford, England), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- The genetics of gaits in Icelandic horses goes beyond DMRT3, with RELN and STAU2 identified as two new candidate genes.Genetics, selection, evolution : GSE · 2023Article
- A QTL for conformation of back and croup influences lateral gait quality in Icelandic horses.BMC genomics · 2021Article
- A Missense Variant inGenes · 2020Article
- Whole-genome genotyping and resequencing reveal the association of a deletion in the complex interferon alpha gene cluster with hypothyroidism in dogs.BMC genomics · 2020Article
- Article
- IntAssoPlot: An R Package for Integrated Visualization of Genome-Wide Association Study Results With Gene Structure and Linkage Disequilibrium Matrix.Frontiers in genetics · 2020Article
- Novel protective and risk loci in hip dysplasia in German Shepherds.PLoS genetics · 2019Article
- Genome-wide association study for bone strength in laying hens.Journal of animal science · 2018Article
- Genetic Regulation of Transcriptional Variation in Natural Arabidopsis thaliana Accessions.G3 (Bethesda, Md.) · 2016Article
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Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
unlabelledHigh-throughput genotyping and sequencing technologies facilitate studies of complex genetic traits and provide new research opportunities. The increasing popularity of genome-wide association studies (GWAS) leads to the discovery of new associated loci and a better understanding of the genetic architecture underlying not only diseases, but also other monogenic and complex phenotypes. Several softwares are available for performing GWAS analyses, R environment being one of them.
resultsWe present cgmisc, an R package that enables enhanced data analysis and visualization of results from GWAS. The package contains several utilities and modules that complement and enhance the functionality of the existing software. It also provides several tools for advanced visualization of genomic data and utilizes the power of the R language to aid in preparation of publication-quality figures. Some of the package functions are specific for the domestic dog (Canis familiaris) data. AVAILABILITY AND IMPLEMENTATION: The package is operating system-independent and is available from: https://github.com/cgmisc-team/cgmisc CONTACT: marcin.kierczak@imbim.uu.se. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
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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.