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GenPop – An Online Tool to Analyze Human Population Genetic Data


B Arundhati Mahesh1,*, E Kannan2, G Dicky John Davis1, P Venkatesan1, PK Ragunath1



1Department of Bioinformatics, Sri Ramachandra Institute of Higher Education and Research (DU), Porur, Chennai – 600116; 2VelTech Rangarajan Dr. Saguthala R&D Institute of Science and Technology, Avadi, Chennai – 600062



B Arundhati Mahesh: arundhati@sriramachandra.edu.in; E Kannan: ek081966@gmail.com; G Dicky John Davis: dicky@sriramachandra.edu.in; P Venkatesan: venkaticmr@gmail.com; PK Ragunath: hod.bioinformatics@sriramachandra.edu.in


Article Type

Research Article



Received January 7, 2020; Accepted February 20, 2020; Published February 29, 2020



GenPop is a web based online cross platform tool developed to help Geneticist and Epidemiologist to deal with association studies in analyzing human population genetic data. The tool features include descriptive analysis such as Hardy-Weinberg equilibrium test, chisquare p-value and analysis of single nucleotide polymorphisms (SNPs) with multiple inheritance models such as dominant, recessive, allelic, genotype, odd’s ratio and relative risk at 95% confidence interval and analysis of multiple SNPs including haplotype frequencies and linkage disequilibrium for a pair of biallelic markers. This is a user-driven human population genetic data analysis tool that is easily scalable and acceptable with multiple implementations of different algorithms. GenPop has been developed using PHP, JavaScript and with PHPExcel library to analyse the genetic data for case control studies.



Geneticist, epidemiologist, Hardy-Weinberg equilibrium, PHP



Mahesh et al. Bioinformation 16(2): 149-152 (2020)


Edited by

P Kangueane






Biomedical Informatics



This is an Open Access article which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. This is distributed under the terms of the Creative Commons Attribution License.