Main use-cases | MOI;prevalence estimates |
Authors | Henri Christian Junior Tsoungui Obama;Kristan Alexander Schneider |
Latest version | NA |
License | MIT License |
Website | https://github.com/Maths-against-Malaria/MultiLociBiallelicModel |
Code repository | https://github.com/Maths-against-Malaria/MultiLociBiallelicModel |
Publication | https://www.frontiersin.org/articles/10.3389/fepid.2022.943625/full |
Tutorial authors | Nicholas Hathaway |
Tutorial date | 2023-12 |
MultiLociBiallelicModel
Summary sheet
Purpose
The code supplied by this paper does a maximum-likelihood (MLE) method to estimate:
- haplotype frequencies and prevalence
- multiplicity of infection (MOI/COI) from SNP data.
The functions here provide functionality to predict possible haplotype prevalence within the population that lead to the current set of data. Also estimates MOI/COI based on these estimates. Has to take only biallelic SNPs and compuationally can be limited by the number of loci supplied (in publication used 10 loci).
Existing resources
- Example file can be found here
Citation
References
Tsoungui Obama, Henri Christian Junior, and Kristan Alexander Schneider. 2022. “A Maximum-Likelihood Method to Estimate Haplotype Frequencies and Prevalence Alongside Multiplicity of Infection from SNP Data.” Frontiers in Epidemiology 2.