Genes, Volume 14, Issue 1
2023 January - 237 articles
Cover Story: The genome-wide association study (GWAS) has been in use for 15 years. It has made immense progress in multiple fields from medicine to crop breeding. Although the methodology under the hood of GWAS has been improving, there is a substantial lack of easy-to-use tools for GWAS utilization. One such improved GWAS is the synthetic phenotype to causative mutation strategy (SP2CM) that enables causative mutation (CM) identification through accuracy calculation. AccuCalc is a Python package for convenient SP2CM strategy utilization for every species. AccuCalc has three inputs: genotype (vcf or hmp), binary phenotype (synthetic or observed) and GWAS result (p-values). Conclusion, AccuCalc creates synthetic phenotypes, calculates accuracy and draws Manhattan plots accentuated by accuracy. AccuCalc is especially beneficial for CM identification of rare phenotypes where GWAS would be underpowered. View this paper - Issues are regarded as officially published after their release is announced to the table of contents alert mailing list .
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