Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Sudershan, Amrit; Singh, Kuljeet; Kumar, Parvinder Title A name given to the resource GeneRiskCalc: a web-based tool for genetic risk association analysis in casecontrol studies Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2025 Source A related resource from which the described resource is derived BMC Bioinformatics;Volume;26;Issue;1;Article No.;213; Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1186/s12859-025-06207-z" target="_blank" rel="noreferrer noopener">https://doi.org/10.1186/s12859-025-06207-z</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105013688666?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105013688666?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Sudershan A., Institute of Human Genetics, University of Jammu, Jammu &amp; Kashmir, Jammu, India, Department of Human Genetics, Sri Pratap College, Cluster University Srinagar, Jammu &amp; Kashmir, Kashmir, Srinagar, 190001, India; Singh K., Department of Computer Science, School of Sciences, Christ University, NCR, Delhi, 201003, India; Kumar P., Institute of Human Genetics, University of Jammu, Jammu &amp; Kashmir, Jammu, India, Department of Zoology, University of Jammu, Jammu &amp; Kashmir, Jammu, 180006, India Description An account of the resource Background: Genetic association studies play a pivotal role in identifying disease-associated variants, but researchers face challenges in performing essential calculations like HardyWeinberg equilibrium testing, odds ratios, and confidence intervals due to reliance on manual methods or multiple software tools. We aimed to develop GeneRiskCalc, an integrated web-based platform that simplifies genetic association analysis by automating HardyWeinberg equilibrium assessment, odds ratios with confidence interval calculation, and visual data presentation in casecontrol studies. Using an HTML/CSS/JavaScript framework, we developed online software with three core functionalities: (1) automated HWE evaluation, (2) odds ratio with 95% confidence interval computation with statistical validation, and (3) dynamic Forest Plot generation for data visualization. The tool was designed with an intuitive interface to minimize prerequisite statistical expertise. Results: The tool, named the Genetic Risk Association Calculator (GeneRiskCalc), demonstrated high computational accuracy in HWE testing (?2 validation) and association metrics (odds ratio and confidence interval). The results were cross-validated against established statistical methods, confirming their reliability. Furthermore, the integrated Forest Plotter enabled immediate visualization of effect sizes across multiple genetic models, facilitating a comprehensive interpretation of genetic associations. Conclusion: By integrating essential analytical steps into a single platform, the GeneRiskCalc, streamlines genetic epidemiology workflows, addressing key challenges in data analysis. Its user-friendly interface enhances accessibility, promotes reproducibility, and accelerates research in genetic association studies. The tool is freely available at GeneRiskCalc (https://sites.google.com/view/GeneRiskCalc/home?authuser=0). The Author(s) 2025. Subject The topic of the resource Casecontrol studies; Forest plot; Genetic association studies; Genetic epidemiology; HardyWeinberg equilibrium; Odds ratio Publisher An entity responsible for making the resource available BioMed Central Ltd Relation A related resource ISSN: 14712105; CODEN: BBMIC Language A language of the resource English Type The nature or genre of the resource Article Rights Information about rights held in and over the resource All Open Access; Gold Open Access; Green Open Access Format The file format, physical medium, or dimensions of the resource online