Galen Wright

Pharmacogenomic research in South Africa : lessons learned and future opportunities in the rainbow nation

South Africa, like many other developing countries, stands to benefit from novel diagnostics and drugs developed by pharmacogenomics guidance due to high prevalence of disease burden in the region. This includes both communicable (e.g., HIV/AIDS and tuberculosis) and non-communicable (e.g., diabetes and cardiovascular) diseases. For example, although only 0.7% of the world’s population lives in South Africa, the country carries 17% of the global HIV/AIDS burden and 5% of the global tuberculosis burden. Nobel Peace Prize Laureate Archbishop Emeritus Desmond Tutu has coined the term Rainbow Nation, referring to a land of wealth in its many diverse peoples and cultures. It is now timely and necessary to reflect on how best to approach new genomics biotechnologies in a manner that carefully considers the public health needs and extant disease burden in the region. The aim of this paper is to document and review the advances in pharmacogenomics in South Africa and importantly, to evaluate the direction that future research should take. Previous research has shown that the populations in South Africa exhibit unique allele frequencies and novel genetic variation in pharmacogenetically relevant genes, often differing from other African and global populations. The high level of genetic diversity, low linkage disequilibrium and the presence of rare variants in these populations question the feasibility of the use of current commercially available genotyping platforms, and may partially account for genotype-phenotype discordance observed in past studies. However, the employment of high throughput technologies for genomic research, within the context of large clinical trials, combined with interdisciplinary studies and appropriate regulatory guidelines, should aid in acceleration of pharmacogenomic discoveries in high priority therapeutic areas in South Africa. Finally, we suggest that projects such as the H3Africa Initiative, the SAHGP and PGENI should play an integral role in the coordination of genomic research in South Africa, but also other African countries, by providing infrastructure and capital to local researchers, as well as providing aid in addressing the computational and statistical bottlenecks encountered at present.

Elucidation of CYP2D6 genetic diversity in a unique African population: implications for the future application of pharmacogenetics in the Xhosa population.

Genetic variation of the CYP2D6 gene has been associated with altered drug metabolism; however, limited studies have investigated CYP2D6 sequence diversity in African populations. We devised a CYP2D6 genotyping strategy to analyse the South African Xhosa population and genotype a Xhosa schizophrenia cohort, as CYP2D6 metabolises many antipsychotics and antidepressants.

Characterization of the genetic profile of CYP2C19 in two South African populations

AIMS This study was aimed at elucidating the common sequence variation present in the CYP2C19 gene within the South African Xhosa population and comparing it with the Cape Mixed Ancestry (CMA) population for possible future pharmacogenetic applications. MATERIALS & METHODS Common sequence variation was identified through the resequencing of 15 Xhosa individuals. The detected variants were prioritized for genotyping in an additional 85 Xhosa and 75 CMA individuals, while 5 -upstream variants were analyzed using dual luciferase reporter assays. RESULTS Resequencing of the Xhosa population revealed 30 variants, including the novel CYP2C19*27 and CYP2C19*28 alleles. CYP2C19*27, characterized by -1041G>A, caused a twofold decrease in luciferase activity, while CYP2C19*28 is characterized by the nonsynonymous V374I variant. In addition, the previously characterized variants, CYP2C19*2, CYP2C19*9 and CYP2C19*17, were present in both populations, while CYP2C19*3 was only observed in the CMA population. CONCLUSION Our data demonstrate that both the Xhosa and CMA populations exhibit unique genetic profiles that could influence the outcome of drug therapy in these populations.

Nuclear Receptor NR1H3 in Familial Multiple Sclerosis

Multiple sclerosis (MS) is an inflammatory disease characterized by myelin loss and neuronal dysfunction. Despite the aggregation observed in some families, pathogenic mutations have remained elusive. In this study, we describe the identification of NR1H3 p.Arg415Gln in seven MS patients from two multi-incident families presenting severe and progressive disease, with an average age at onset of 34 years. Additionally, association analysis of common variants in NR1H3 identified rs2279238 conferring a 1.35-fold increased risk of developing progressive MS. The p.Arg415Gln position is highly conserved in orthologs and paralogs, and disrupts NR1H3 heterodimerization and transcriptional activation of target genes. Protein expression analysis revealed that mutant NR1H3 (LXRA) alters gene expression profiles, suggesting a disruption in transcriptional regulation as one of the mechanisms underlying MS pathogenesis. Our study indicates that pharmacological activation of LXRA or its targets may lead to effective treatments for the highly debilitating and currently untreatable progressive phase of MS.

Introduction of the AmpliChip CYP450 Test to a South African cohort: a platform comparative prospective cohort study.

BackgroundAdverse drug reactions and lack of therapeutic efficacy associated with currently prescribed pharmacotherapeutics may be attributed, in part, to inter-individual variability in drug metabolism. Studies on the pharmacogenetics of Cytochrome P450 (CYP) enzymes offer insight into this variability. The objective of this study was to compare the AmpliChip CYP450 Test® (AmpliChip) to alternative genotyping platforms for phenotype prediction of CYP2C19 and CYP2D6 in a representative cohort of the South African population.MethodsAmpliChip was used to screen for thirty-three CYP2D6 and three CYP2C19 alleles in two different cohorts. As a comparison cohort 2 was then genotyped using a CYP2D6 specific long range PCR with sequencing (CYP2D6 XL-PCR + Sequencing) platform and a PCR-RFLP platform for seven CYP2C19 alleles.ResultsEven though there was a low success rate for the AmpliChip, allele frequencies for both CYP2D6 and CYP2C19 were very similar between the two different cohorts. The CYP2D6 XL-PCR + Sequencing platform detected CYP2D6*5 more reliably and could correctly distinguish between CYP2D6*2 and *41 in the Black African individuals. Alleles not covered by the AmpliChip were identified and four novel CYP2D6 alleles were also detected. CYP2C19 PCR-RFLP identified CYP2C19*9,*15, *17 and *27 in the Black African individuals, with *2, *17 and *27 being relatively frequent in the cohort. Eliminating mismatches and identifying additional alleles will contribute to improving phenotype prediction for both enzymes. Phenotype prediction differed between platforms for both genes.ConclusionComprehensive genotyping of CYP2D6 and CYP2C19 with the platforms used in this study, would be more appropriate than AmpliChip for phenotypic prediction in the South African population. Pharmacogenetically important novel alleles may remain undiscovered when using assays that are designed according to Caucasian specific variation, unless alternate strategies are utilised.

Next-generation sequencing of pharmacogenes: a critical analysis focusing on schizophrenia treatment.

Introduction Because of the unmet needs of current pharmacotherapy for schizophrenia, antipsychotic pharmacogenetic research is of utmost importance. However, to date, few clinically applicable antipsychotic pharmacogenomic alleles have been identified. Nonetheless, next-generation sequencing technologies are expected to aid in the identification of clinically significant variants for this complex phenotype. The aim of this study was therefore to critically examine the ability of next-generation sequencing technologies to reliably detect variation present in pharmacogenes. Materials and methods Candidate antipsychotic pharmacogenes and very important pharmacogenes were identified from the literature and the Pharmacogenomics Knowledgebase. Thereafter, the percentage sequence similarity observed between these genes and their corresponding pseudogenes and paralogues, as well as the percentage low-complexity sequence and GC content of each gene, was calculated. These sequence attributes were subsequently compared with the ‘inaccessible’ regions of these genes as described by the 1000 Genomes Project. Results It was found that the percentage ‘inaccessible genome’ correlated well with GC content (P=9.96×10−5), low-complexity sequence (P=0.0002) and the presence of pseudogenes/paralogues (P=8.02×10−7). In addition, it was found that many of the pharmacogenes were not ideally suited to next-generation sequencing because of these genomic complexities. These included the CYP and HLA genes, both of which are of importance to many fields of pharmacogenetics. Conclusion Current short read sequencing technologies are unable to comprehensively capture the variation in all pharmacogenes. Therefore, until high-throughput sequencing technologies advance further, it may be necessary to combine next-generation sequencing with other genotyping strategies.

Characterization of the genetic variation present in CYP3A4 in three South African populations

The CYP3A4 enzyme is the most abundant human cytochrome P450 (CYP) and is regarded as the most important enzyme involved in drug metabolism. Inter-individual and inter-population variability in gene expression and enzyme activity are thought to be influenced, in part, by genetic variation. Although Southern African individuals have been shown to exhibit the highest levels of genetic diversity, they have been under-represented in pharmacogenetic research to date. Therefore, the aim of this study was to identify genetic variation within CYP3A4 in three South African population groups comprising of 29 Khoisan, 65 Xhosa and 65 Mixed Ancestry (MA) individuals. To identify known and novel CYP3A4 variants, 15 individuals were randomly selected from each of the population groups for bi-directional Sanger sequencing of ~600 bp of the 5′-upstream region and all thirteen exons including flanking intronic regions. Genetic variants detected were genotyped in the rest of the cohort. In total, 24 SNPs were detected, including CYP3A4*12, CYP3A4*15, and the reportedly functional CYP3A4*1B promoter polymorphism, as well as two novel non-synonymous variants. These putatively functional variants, p.R162W and p.Q200H, were present in two of the three populations and all three populations, respectively, and in silico analysis predicted that the former would damage the protein product. Furthermore, the three populations were shown to exhibit distinct genetic profiles. These results confirm that South African populations show unique patterns of variation in the genes encoding xenobiotic metabolizing enzymes. This research suggests that population-specific genetic profiles for CYP3A4 and other drug metabolizing genes would be essential to make full use of pharmacogenetics in Southern Africa. Further investigation is needed to determine if the identified genetic variants influence CYP3A4 metabolism phenotype in these populations.

Whole-genome resequencing in pharmacogenomics: moving away from past disparities to globally representative applications

Africa suffers from a high burden of disease; nonetheless, it has been one of the most under-represented continents with regard to genomic research. It can be argued that this disproportionate research is related to the fact that the genome architecture of African individuals is poorly suited to SNP-based genome-wide association studies, given existing genotyping platforms. However, this argument is no longer plausible with the arrival of next-generation sequencing technologies, which allow for the analysis of entire genomes. Using pharmacogenes to critically examine the merit of next-generation sequencing technologies in pharmacogenomics, we found a substantial amount of novel/uncharacterized variation, which was predicted to alter protein function. This variation was predominantly observed in African individuals, emphasizing the benefit of next-generation sequencing technologies specifically for these individuals. We also observed an improvement in the reliability of sequencing technologies in a relatively short time. Therefore, as sequencing technologies develop and decrease in cost, the ability to reliably detect variation will improve and these technologies will begin to replace other less comprehensive genotyping assays.

End of the Beginning and Public Health Pharmacogenomics: Knowledge in 'Mode 2' and P5 Medicine

Vural Ozdemir1,*, Erik Fisher2, Edward S. Dove1, Hilary Burton3, Galen E. B. Wright4, Mario Masellis5,*, and Louise Warnich4,* 1Centre of Genomics and Policy, Department of Human Genetics, Faculty of Medicine, McGill University, Montreal, QC, Canada 2School of Politics and Global Studies, Consortium for Science, Policy & Outcomes, Center for Nanotechnology in Society, College of Liberal Arts and Sciences, Arizona State University, Tempe, AZ, USA 3Foundation for Genomics and Population Health, 2 Worts Causeway, Cambridge, UK 4Department of Genetics, Stellenbosch University, Stellenbosch, South Africa 5L.C. Campbell Cognitive Neurology Research Unit, Sunnybrook Research Institute, Department of Medicine (Neurology), Sunnybrook Health Sciences Centre, University of Toronto, Toronto, ON, Canada

Association of MB-COMT polymorphisms with schizophrenia-susceptibility and symptom severity in an African cohort

The catechol-O-methyltransferase (COMT) gene is an attractive schizophrenia candidate gene, encoding a catabolic dopamine enzyme. The enzyme exists as two distinct isoforms, with the membrane bound enzyme (i.e. MB-COMT) being predominantly expressed in the brain. Since African populations remain underrepresented in genetic/genomic research, we performed an association study to determine whether MB-COMT genetic variants are associated with schizophrenia-susceptibility and symptom severity in the South African Xhosa population. Fourteen candidate polymorphisms were selected by means of a literature search and in silico analyses and were subsequently genotyped in a cohort of 238 Xhosa schizophrenia patients and 240 healthy Xhosa controls. Genetic association was tested with schizophrenia-susceptibility as well as symptom severity within the patient group. Polymorphisms of interest were also analysed using functional assays. Two SNPs, rs2020917 (OR=0.54, 95% CI 0.37-0.79; P=0.0011) and rs737865 (OR=0.52, 95% CI 0.36-0.74; P=0.0002), in the P2 promoter region were significantly associated with schizophrenia as well as an increase (increase=11.2%, 95% CI 3.7%-19.2%; P=0.0031) in reporter gene expression. The minor alleles of these SNPs were underrepresented in the schizophrenia cohort, indicating a possible protective effect. The P2 region also formed part of a haplotype found to be associated with the severity of the negative symptoms of the disorder. The data generated by this study indicate that genetic variation of MB-COMT could be associated with schizophrenia and negative symptom severity in the Xhosa population and may therefore be one of the genomic loci contributing towards the disorder in the South African community. Future large-scale studies in other African schizophrenia populations are required to further elucidate the significance of these findings.