| Summary: | Human African trypanosomiasis (HAT) is a public health problem in sub-Saharan Africa, with approximately 10,000 cases being reported per year. The Macrophage Migration Inhibitory Factor (MIF) which is encoded by a functionally polymorphic gene is important in both innate andadaptive immune responses, and has been implicated in affecting the outcome and processes of several inflammatory conditions. A recent study in mice to that effect showed that MIF deficient and anti-MIF antibody treated mice showed lowered inflammatory responses, liver damage and anaemia than the wild type mice when experimentally challenged with Trypanosomes. These findings could mean that the transcript levels and/or polymorphisms in this gene can possibly affect individual risk to trypanosomiasis. This is especially of interest because there have been reports of spontaneous recovery i.e self-cure/resistance in some HAT cases in West Africa. Prior to this discovery the general paradigm was that trypanosomiasis is fatal if left untreated. The aim of this study was to gain insights into how human genetic variation in forms of nonsynonymous SNPs affects the MIF structure and function and possibly HAT susceptibility. NsSNPs in the mif gene were obtained from dbSNP. Through homology modeling, SNP prediction tools, protein interface analysis, alanine scanning, changes in free energy of folding, protein interactions calculator (PIC), and molecular dynamics simulations, SNP effects on the protein structure and function were studied. The study cohort comprised of human genome sequence data from 50 North Western Uganda Lugbara endemic individuals of whom 20 were cases (previous HAT patients) and 30 were controls (HAT free individuals). None of the 26 nsSNPs retrieved from dbSNP (July 2015) were present in the mif gene region in the study cohort. Out of the eight variants called in the mif coding region there was only one missense variant rs36065127 whose clinical significance is unknown. It was not possible to test for association of this variant with HAT due to its low global MAF that was less than 0.05. Alanine scanning provided a fast and computationally cheap means of quickly assessing nsSNPs of importance. NsSNPs that were interface residues were more likely to be hotspots (important in protein stability). Assessment of possible compensatory mutations using PIC analysis showed that some nsSNP sites were interacting with others, but this requires further experimentation. Analysis of changes in free energy using FOLDX was not enough to predict which nsSNPs would adversely affect protein structure, function and kinetics. The MD simulations were unfortunately too short to glean any meaningful inferences. This was the first genetic study carried out on the people of Lugbara ethnicity from North Western Uganda.
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