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Voltage-gated calcium channels have been implicated in schizophrenia aetiology; however, little is known about their involvement in antipsychotic treatment response. This study investigated variants within the calcium channel subunit genes for association with antipsychotic treatment response in a first episode schizophrenia cohort. Twelve regulatory variants within seven genes were shown to be significantly associated with treatment outcome. Most notably, the CACNA1B rs2229949 CC genotype was associated with improved negative symptomology, where the C allele was predicted to abolish a miRNA-binding site (has-mir-5002-3p), suggesting a possible mechanism of action through which this variant may have an effect. These results implicate the calcium channel subunits in antipsychotic treatment response and suggest that increased activation of these channels may be explored to enhance or predict antipsychotic treatment outcome.

Antipsychotics remain the most effective, and wide used option for ameliorating the symptoms of schizophrenia. However, inter-individual differences in treatment outcome are vast and suggest a role for genetic and environmental factors in affording favourable outcomes. A notable epigenetic relationship which has gained considerable traction in recent literature is the way in which the severity of childhood trauma can modify associations seen between genetic variation and antipsychotic treatment response. A potential mechanism of action which may facilitate this relationship is synaptic plasticity. This study investigated the role of variants in matrix metallopeptidase 9 (MMP9), a gene involved in synaptic plasticity, with treatment outcome considering the severity of childhood trauma as an interacting variable. The cohort comprised South African first episode schizophrenia patients treated with a single injectable antipsychotic, flupenthixol decanoate, monitored over 12 months. Relationships between novel and previously described variants, and haplotypes, with antipsychotic treatment response were found to be modified when considering childhood trauma as an interacting variable. This study provides the first evidence for the involvement of polymorphisms within MMP9 and the severity of childhood trauma in antipsychotic treatment response, and warrants further investigation into the role gene-environment interactions may play in the betterment of antipsychotic treatment strategies.

The Southern African Human Genome Programme is a national initiative that aspires to unlock the unique genetic character of southern African populations for a better understanding of human genetic diversity. In this pilot study the Southern African Human Genome Programme characterizes the genomes of 24 individuals (8 Coloured and 16 black southeastern Bantu-speakers) using deep whole-genome sequencing. A total of ~16 million unique variants are identified. Despite the shallow time depth since divergence between the two main southeastern Bantu-speaking groups (Nguni and Sotho-Tswana), principal component analysis and structure analysis reveal significant (p, African populations show a high level of genetic diversity and extensive regional admixture. Here, the authors sequence the whole genomes of 24 South African individuals of different ethnolinguistic origin and find substantive genomic divergence between two southeastern Bantu-speaking groups.

Despite advances in pharmacogenetics, the majority of heritability for treatment response cannot be explained by common variation, suggesting that factors such as epigenetics may play a key role. Regulatory genes, such as those involved in DNA methylation and transcriptional repression, are therefore excellent candidates for investigating antipsychotic treatment response. This study explored the differential expression of regulatory genes between patients with schizophrenia (chronic and antipsychotic-naive first-episode patients) and healthy controls in order to identify candidate genes for association with antipsychotic treatment response. Seven candidate differentially expressed genes were identified, and four variants within these genes were found to be significantly associated with treatment response (DNMT3A rs2304429, HDAC5 rs11079983, and HDAC9 rs1178119 and rs11764843). Further analyses revealed that two of these variants (rs2304429 and rs11079983) are predicted to alter the expression of specific genes (DNMT3A, ASB16, and ASB16-AS1) in brain regions previously implicated in schizophrenia and treatment response. These results may aid in the development of biomarkers for antipsychotic treatment response, as well as novel drug targets.

Mental disorders represent a major public health burden worldwide. This is likely to rise in the next decade, with the highest increases predicted to occur in low- and middle-income countries. Current psychotropic medication treatment guidelines focus on uniform approaches to the treatment of heterogeneous disorders and achieve only partial therapeutic success. Developing a global precision medicine approach in psychiatry appears attractive, given the value of this approach in other fields of medicine, such as oncology and infectious diseases. In this horizon scanning analysis, we review the salient opportunities and challenges for precision medicine in psychiatry over the next decade. Variants within numerous genes involved in a range of pathways have been implicated in psychotropic drug response and might ultimately be used to guide choice of pharmacotherapy. Multipronged approaches such as multi-omics (genomics, proteomics, metabolomics) analyses and systems diagnostics together with high-throughput sequencing and genotyping technologies hold promise for identifying precise and targeted treatments in mental disorders. To date, however, the vast majority of pharmacogenomics work has been undertaken in high-income countries on a relatively small proportion of the global population, and many other challenges face the field. Opportunities and challenges for establishing a global roadmap for precision medicine in psychiatry are discussed in this article.

Long-term exposure to efavirenz (EFV) measured in hair samples may predict response to antiretroviral treatment (ART). Polymorphisms in CYP2B6 are known to alter EFV levels. The aim of this study was to assess the relationship between CYP2B6 genotype, EFV levels measured in hair, and virological outcomes on ART in a real-world setting. We measured EFV levels in hair from HIV-positive South African females who had been receiving EFV-based treatment for at least 3 months from the South African Black (SAB) (n = 81) and Cape Mixed Ancestry (CMA) (n = 53) populations. Common genetic variation in CYP2B6 was determined in 15 individuals from each population using bidirectional Sanger sequencing. Prioritized variants (n = 16) were subsequently genotyped in the entire patient cohort (n = 134). The predictive value of EFV levels in hair and selected variants in CYP2B6 on virological treatment outcomes was assessed. Previously described alleles (CYP2B6*2, CYP2B6*5, CYP2B6*6, CYP2B6*17, and CYP2B6*18), as well as two novel alleles (CYP2B6*31 and CYP2B6*32), were detected in this study. Compared to noncarriers, individuals homozygous for CYP2B6*6 had ∼109% increased EFV levels in hair (p = .016) and CYP2B6*18 heterozygotes demonstrated 82% higher EFV hair levels (p = .0006). This study confirmed that alleles affecting CYP2B6 metabolism and subsequent EFV exposure are present at significant frequencies in both the SAB and CMA populations. Furthermore, this study demonstrated that the use of hair samples for testing EFV concentrations may be a useful tool in determining long-term drug exposure in resource-limited countries.

WOS: 000374760800008, 27093110

Despite advances in pharmacogenetics, the majority of heritability for treatment response cannot be explained by common variation, suggesting that factors such as epigenetics may play a key role. Regulatory genes, such as those involved in DNA methylation and transcriptional repression, are therefore excellent candidates for investigating antipsychotic treatment response. This study explored the differential expression of regulatory genes between patients with schizophrenia (chronic and antipsychotic-naïve first-episode patients) and healthy controls in order to identify candidate genes for association with antipsychotic treatment response. Seven candidate differentially expressed genes were identified, and four variants within these genes were found to be significantly associated with treatment response (DNMT3A rs2304429, HDAC5 rs11079983, and HDAC9 rs1178119 and rs11764843). Further analyses revealed that two of these variants (rs2304429 and rs11079983) are predicted to alter the expression of specific genes (DNMT3A, ASB16, and ASB16-AS1) in brain regions previously implicated in schizophrenia and treatment response. These results may aid in the development of biomarkers for antipsychotic treatment response, as well as novel drug targets.

Interindividual and interethnic differences in response to antiretroviral drugs (ARVs) are influenced by genetic variation. The few genomic studies conducted among African-Americans and African ethnic groups do not reflect the extensive genetic diversity within African populations. ARVs are widely used in Africa. Therefore, genomic characterization of African populations is required before genotype-guided dosing becomes possible. The aim of this study was to determine and report on the frequency of genetic variants in genes implicated in metabolism and transport of ARVs in South African populations. The study comprised 48 self-reported South African Colored (SAC) and 296 self-reported Black African (BA) individuals. Allele and genotype frequency distributions for 93 variants contributing to metabolism and transport of ARVs were compared between groups, and other global populations. Fifty-three variants had significant differences in allele and genotype frequencies when comparing SAC and BA groups. Thirteen of these have strong clinical annotations, affecting efavirenz and tenofovir pharmacokinetics. This study provides a summary of the genetic variation within genes implicated in metabolism and transport of ARVs in indigenous South African populations. The observed differences between indigenous population groups, and between these groups and global populations, demonstrate that data generated from specific African populations cannot be used to infer genetic diversity within other populations on the continent. These results highlight the need for comprehensive characterization of genetic variation within indigenous African populations, and the clinical utility of these variants in ARV dosing for global precision medicine. Population pharmacogenetics is a nascent field of global health and warrants further research and education.

Considerable evidence suggests that autism spectrum disorders (ASD), schizophrenia (SCZ), bipolar disorder (BD) and obsessive-compulsive disorder (OCD) share a common molecular aetiology, despite their unique clinical diagnostic criteria. The aim of this study was therefore to determine and characterise the common and unique molecular architecture of ASD, SCZ, BD and OCD. Gene lists were obtained from previously published studies for ASD, BD, SCZ and for OCD. Genes identified to be common to all disorders, or unique to one specific disorder, were included for enrichment analyses using the web-server tool Enrichr. Ten genes were identified to be commonly associated with the aetiology of ASD, SCZ, BD and OCD. Enrichment analyses determined that these genes are predominantly involved in the dopaminergic and serotonergic pathways, the voltage-gated calcium ion channel gene network, folate metabolism, regulation of the hippo signaling pathway, and the regulation of gene silencing and expression. In addition to well-characterised and previously described pathways, regulation of the hippo signaling pathway was commonly associated with ASD, SCZ, BD and OCD, implicating neural development and neuronal maintenance as key in neuropsychiatric disorders. In contrast, a large number of previously associated genes were shown to be disorder-specific. And unique disorder-specific pathways and biological processes were presented for ASD, BD, SCZ and OCD aetiology. Considering the current global incidence and prevalence rates of mental health disorders, focus should be placed on cross-disorder commonalities in order to realise actionable and translatable results to combat mental health disorders.

Interest in genomics research in African populations is experiencing exponential growth. This enthusiasm stems in part from the recognition that the genomic diversity of African populations is a window of opportunity for innovations in postgenomics medicine, ecology, and evolutionary biology. The recently launched H3Africa initiative, for example, captures the energy and momentum of this interest. This interdisciplinary socio-technical analysis highlights the challenges that have beset previous genomics research activities in Africa, and looking ahead, suggests constructive ways H3Africa and similar large scale science efforts could usefully chart a new era of genomics and life sciences research in Africa that is locally productive and globally competitive. As independent African scholars and social scientists, we propose that any serious global omics science effort, including H3Africa, aiming to build genomics research capacity and capability in Africa, needs to fund the establishment of biobanks and the genomic analyses platforms within Africa. Equally they need to prioritize community engagement and bioinformatics capability an d the training of African scientists on these platform s. Historically , the financial, technological, and skills imbalance between Africa and developed countries has created exploitative frameworks of collaboration where African researchers have become merely facilitators of Western funded and conceived research agendas involving offshore expatriation of samples. Not surprisingly, very little funding was allocated to infrastructure and human capital development in the past. Moving forward, capacity building should materialize throughout the entire knowledge co-production trajectory: idea generation (e.g., brainstorming workshops for innovative hypotheses development by African scientists), data generation (e.g., genome sequencing), an d high-through put data analysis an d contextualization . Additionally, building skills for political science scholarship that questions the unchecked assumptions of the innovation performers be they funders, scientists, and social scientists, would enable collective innovation that is truly sustainable, ethical, and robust.

GPR88, coding for a G protein-coupled orphan receptor that is highly represented in the striatum, is a strong functional candidate gene for neuropsychiatric disorders and is located at 1p22-p21, a chromosomal region that we have previously linked to bipolar disorder (BD) in the Sardinian population. In order to ascertain the relevance of GPR88 as a risk factor for psychiatric diseases, we performed a genetic association analysis between GPR88 and BD in a sample of triads (patient and both parents) recruited in the Sardinian and the Palestinian population as well as between GPR88 and schizophrenia (SZ) in triads from the Xhosa population in South Africa. We found a positive association between GPR88 and BD in the Sardinian and Palestinian triads. Moreover, we found a positive association between GPR88 and SZ in triads from the Xhosa population in South Africa. When these results were corrected for multiple testing, the association between GPR88 and BD was maintained in the Palestinian population. Thus, these results suggest that GPR88 deserves consideration as a candidate gene for psychiatric diseases and requires to be further investigated in other populations.

Pharmacogenomics, personalized medicine and global health are hot topics. They represent enormously active areas of research and development (R&D) and are situated at the epicenter of the genomics innovation and investment agenda, both in developed and resource-limited countries [3]. The theme of “personalization” is taking on global significance in healthcare, not only in the case of drug therapy but also for other interventions such as vaccines and nutrition as well as targeted diagnostics and screening programs for early disease detection and preventive medicine. A fine example of the latter includes testing for deleterious mutations in

1Research Group on Complex Collaboration, Faculty of Management, McGill University 2Centre of Genomics and Policy, Department of Human Genetics, Faculty of Medicine, McGill University, Montreal, QC, Canada 3Data-Enabled Life Sciences Alliance International (DELSA Global), Seattle, WA, USA 4Development Policy and Practice, The Open University, Walton Hall, Milton Keynes, UK 5The ESRC Centre for Social and Economic Research on Innovation in Genomics (Innogen Centre), Milton Keynes, UK 6Columbia Law School – LL.M. Program, New York, NY, USA 7Auckland Cancer Society Research Centre, Faculty of Medical and Health Sciences (FM&HS), The University of Auckland, Auckland, New Zealand 8Discipline of Nutrition, FM&HS, The University of Auckland, Auckland, New Zealand 9Nutrigenomics New Zealand, New Zealand 10Laboratory of Pharmacology, Medical School, Democritus University of Thrace, Alexandroupolis, Greece 11Clinical Pharmacology Unit, Academic General Hospital of Alexandroupolis, Alexandroupolis, Greece 12European Society of Pharmacogenomics and Theranostics 13L.C. Campbell Cognitive Neurology Research Unit, Sunnybrook Research Institute, Department of Medicine (Neurology), Sunnybrook Health Sciences Centre, University of Toronto, Toronto, ON, Canada 14Faculty of Private Law, University of Cape Town, Cape Town, South Africa 15Department of Genetics, Stellenbosch University, Stellenbosch, South Africa 16Wadhwani Research Center for Biosciences and Bioengineering, Department of Biosciences and Bioengineering, Indian Institute of Technology Bombay, Powai, Mumbai, India

Aim: Noncoding variation has demonstrated regulatory effects on disease treatment outcomes. This study investigated the potential functionality of previously implicated noncoding variants on schizophrenia treatment response. Materials & methods: Predicted regulatory potential of variation identified from antipsychotic response genome-wide association studies was determined. Prioritized variants were assessed for association(s) with treatment outcomes in a South African first episode schizophrenia cohort (n = 103). Results: Bioinformatic and association results implicated a relationship between regulatory variants, expression of MANBA, COL9A2 and NFKB1, and treatment response. Three SNPs were associated with poor outcomes (rs230493: p = 1.88 × 10-6; rs3774959: p = 1.75 × 10-5; and rs230504: p = 1.48 × 10-4). Conclusion: This study has thoroughly investigated previous GWAS to pinpoint variants that may play a causal role in poor schizophrenia treatment outcomes, and provides potential candidate genes for further study in the field of antipsychotic response.

BACKGROUND Although antipsychotics are integral to the treatment of schizophrenia, drug efficacy varies between patients. Although it has been shown that antipsychotic treatment response outcomes are heritable, our understanding of the genetic factors that are involved remains incomplete. Therefore, this study aims to use an unbiased scan of the genome to identify the genetic variants contributing toward antipsychotic treatment response outcomes. MATERIALS AND METHODS This study utilized whole-exome sequencing of patients on extreme ends of the treatment response spectrum (n=11) in combination with results from previous antipsychotic studies to design a panel of variants that were genotyped in two well-characterized first-episode schizophrenia cohorts (n=103 and 87). Association analyses were carried out to determine whether these variants were significantly associated with antipsychotic treatment response outcomes. RESULTS Association analyses in the discovery cohort identified two nonsynonymous variants that were significantly associated with antipsychotic treatment response outcomes (P

In order to optimize treatment outcome among antiretroviral therapy users, there is a strong imperative to engage in continued monitoring and maintenance of therapeutic drug levels in patients. The aim of this study was to document the perspectives, beliefs, and concerns of South African antiretroviral therapy users providing hair specimens to determine antiretroviral drug levels. Twenty-one women living with HIV were recruited from a community health center in the Western Cape. Interviews were recorded and transcribed, and analyzed using Atlas.ti version 6. Although participants identified several cultural beliefs influencing their decision to provide hair specimens for drug level measurement, nearly all agreed that they would be willing to do so if provided with enough information by the researcher.

Summary Background Variegate porphyria (VP) is due to a partial deficiency of protoporphyrinogen oxidase (PPOX), the seventh enzyme in the haem biosynthetic pathway. Clinically, VP is characterized by photosensitivity and acute neurovisceral attacks that can manifest separately or together in affected individuals. The disease is inherited in an autosomal dominant fashion with incomplete penetrance and PPOX gene mutations associated with VP are usually unique to patients and their families. In South Africa, however, VP is highly prevalent as the result of a founder mutation, designated p.R59W. Previous genealogical and haplotype studies showed a link between South African and Dutch carriers of p.R59W and it was suggested that this mutation was introduced to South Africa by Dutch settlers at the end of the 17th century. Objectives To perform extended haplotype analysis in six South African and Dutch VP families with the p.R59W mutation. Methods Haplotyping of 13 microsatellite markers flanking the PPOX gene on chromosome 1q22-23 and five informative single nucleotide polymorphisms within and around the gene. Results A core haplotype cosegregated in all families studied. Conclusions Our data deliver further confirmation that the South African and Dutch VP families carrying mutation p.R59W shared a common ancestor.

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.

Africa is the cradle of mankind. African science and knowledge-based innovation are central to a deep understanding of pathophysiology, prevention and treatment of human diseases, discovery and development of novel diagnostics, as well as ecosystem health (Roetz and Warnich, 2013; Rotimi, 2012). The ‘‘OMICS IN AFRICA’’ special issue in July is a precious contribution to 21 century life sciences, medicine, and global health. The issue presents a timely sample of cutting edge research from Africa, and brings about diverse perspectives emerging from lab-to-society that will collectively inform how best to design and sustain a robust innovation ecosystem in Africa.

Summary 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. The entire CYP2D6 gene locus was sequenced in 15 Xhosa control individuals and the data generated were used to design a comprehensive genotyping strategy. Over 25 CYP2D6 alleles were genotyped in Xhosa controls and Xhosa schizophrenia patients using long-range PCR, DNA sequencing and single nucleotide primer extension analysis. Bioinformatic algorithms were used to predict the functional consequences of relevant mutations and samples were assigned CYP2D6 activity scores. A unique allele distribution was revealed and two rare novel alleles, CYP2D6*73 and CYP2D6*74, were identified. No significant differences in allele frequencies were detected between Xhosa controls and schizophrenia patients. This study provides i) comprehensive data on a poorly characterised population, ii) a valuable CYP2D6 genotyping strategy and iii) due to their unique genetic profile, provides the basis for pharmacogenetic intervention for Xhosa individuals.

Comparative studies of the population genetic structures of agricultural pests can elucidate the factors by which their population levels are affected, which is useful for designing pest management programs. This approach was used to provide insight into the six Tortricidae of major economic importance in South Africa. The population genetic structure of the carnation wormE. acerbellaand the false codling mothT. leucotreta, analyzed using amplified fragment length polymorphism (AFLP) analysis, is presented here for the first time. These results were compared with those obtained previously for the codling mothCydia pomonella, the oriental fruit mothGrapholita molesta, the litchi mothCryptophlebia peltasticaand the macadamia nut borerT. batrachopa. Locally adapted populations were detected over local geographic areas for all species. No significant differences were found among population genetic structures as result of population history (whether native or introduced) although host range (whether oligophagous or polyphagous) had a small but significant effect. It is concluded that factors such as dispersal ability and agricultural practices have the most important effects on genetically structuring populations of the economically important Tortricidae in South Africa.

South Africa, like many other Southern African countries, has one of the highest HIV infection rates in the world and many individuals consequently receive antiretroviral therapy (ART). However, knowledge regarding (i) the prevalence of functional single nucleotide polymorphisms (SNPs) in pharmacologically relevant genes, and (ii) variance in pharmacotherapy both within and between different populations and ethnic groups is limited. The aim of this study was to determine whether selected polymorphisms in cytochrome P450 (CYP) genes (CYP2B6 and CYP3A4) and the multidrug-resistance 1 (ABCB1) gene underlie altered antiretroviral (ARV) drug response in two South African populations. DNA samples from 182 HIV-positive individuals of Mixed-Ancestry and Xhosa ethnicity on ART were genotyped for the A-392G SNP in CYP3A4, the G516T and A785G SNPs in CYP2B6, and the T-129C, C1236T, G2677T/A and C3435T SNPs in ABCB1. Univariate two-way analysis of variance (ANOVA) testing revealed no apparent effect of ethnicity on immune recovery (in terms of CD4-cell count) in response to ART. Univariate one-way ANOVA testing revealed a discernible effect of genotype on immune recovery in the cases of the T-129C (P=0.03) and G2677A (P

Since the announcement of the results of the international research project to unravel the human genome in the early 1990s there has been a burgeoning of research into the genetic basis of psychopathology and development. South African behavioural researchers, however, have reasons to be cautious about the benefits of genetic research in the light of the historical link between eugenic interests and practices which were attractive to ideologies such as Nazism and apartheid.In this article we discuss the burgeoning interface internationally between behavioural and genetic research. We describe a number of areas of recent research that are particularly relevant to child and adolescent mental health in South Africa (antisocial behaviour, disorganised attachment and depression) that are beginning to illuminate the interactions between the behavioural and genetic domains.We argue that we need to engage more actively with what the sciences of the brain and behaviour have to offer, and in so doing make a case for the urgent inclusion of genetic research in mental health research in South Africa.

Four tortricid species are of major economic importance on deciduous fruit tree crops in South Africa. They are codling moth, Cydia pomonella, oriental fruit moth, Grapholita molesta, false codling moth, Thaumatotibia leucotreta, and carnation worm, Epichoristodes acerbella. Pest management and phytosanitary practices are often hampered by the inability to distinguish between the immature stages of these four species. To address this need, the final instar larvae and pupae of E. acerbella are described and illustrated. The morphology of these immature stages of E. acerbella is compared with those of the aforementioned tortricid species. Keys are included to distinguish between the four species. In addition, as an alternative method of identification of any life stage, a means of discriminating between the four species, based on analysis of nucleotide sequences of the mitochondrial cytochrome oxidase I gene, is described.

As little is known about the risk factors for abnormal involuntary movements in African patients with schizophrenia, 170 Xhosa participants with schizophrenia were rated with the abnormal involuntary movement scale. Abnormal involuntary movements occurred in 19.4% of this group. Modeling of the data set showed that combining age at interview, age-squared, cannabis use or abuse, and anhedonia successfully identified 82.35% of cases of involuntary movements overall. Abnormal involuntary movements increased with increasing age (in a nonlinear manner), the presence of a cannabis use or abuse history seems to be protective against involuntary movements, and anhedonia is associated with the group that displayed fewer involuntary movements.

Elucidation of gene regulatory complexity holds much promise towards aiding therapeutic interventions in medical research. It has become progressively more evident that the characterization of highly conserved regulatory modules within promoters may assist in the elucidation of distinct cis-motif and trans-element regulatory interactions, shared in response to stimulus-evoked pathological changes. With special emphasis on the promoter, accurate analyses of cis-motif architecture combined with integrative in silico modelling might serve as a more refined approach for prediction and study of regulatory targets and major regulators governing transcriptional control. In this review, we have highlighted key examples and recent advances implementing in silico promoter models that could serve as essential contributions for future research in molecular medicine.

Amplified fragment length polymorphism (AFLP) fingerprints were used to characterize the population genetic structure and gene flow of the oriental fruit moth, Grapholita molesta (Busck) (Lepidoptera: Tortricidae), for the first time in the major stone-fruit growing regions in South Africa. Populations were collected from six different regions and compared with each other. Furthermore, intraregion gene flow was determined by sampling more extensively from farms and orchards within two of these six regions. Five selective AFLP primer pairs generated 250 fragments. Phylogeny analysis clustered populations from the six regions into two main groups, although those situated close together geographically were not necessarily closely related genetically. Over local scales, populations collected from closely situated orchards (

Three tortricid species are of major economic importance to the South African tropical and subtropical fruit industry. They are the false codling moth, Thaumatotibia leucotreta, the macadamia nut borer, T. batrachopa, and the litchi moth, Cryptophlebia peltastica. Identification of these species is essential for phytosanitary purposes and to aid the management of population levels in the field. For this purpose, species identification was investigated using morphological and molecular genetic techniques. For each species, final instar larvae and pupae are described and illustrated. Diagnostic characters are given for each species and keys included to facilitate identification. In addition, as an alternative to morphological identification, a diagnostic 367-bp region of the mitochondrial cytochrome oxidase I (COI) gene was sequenced from individuals of the three species. The inclusion of both morphological and molecular keys provides a reliable means of identifying the tortricids of economic importance on tropical and subtropical fruit in South Africa.

Metabolic syndrome (MetS) is a cluster of factors that increases the risk of cardiovascular disease (CVD), one of the leading causes of mortality in patients with schizophrenia. Incidence rates of MetS are significantly higher in patients with schizophrenia compared to the general population. Several factors contribute to this high comorbidity. This systematic review focuses on genetic factors and interrogates data from association studies of genes implicated in the development of MetS in patients with schizophrenia. We aimed to identify variants that potentially contribute to the high comorbidity between these disorders. PubMed, Web of Science and Scopus databases were accessed and a systematic review of published studies was conducted. Several genes showed strong evidence for an association with MetS in patients with schizophrenia, including the fat mass and obesity associated gene (FTO), leptin and leptin receptor genes (LEP, LEPR), methylenetetrahydrofolate reductase (MTHFR) gene and the serotonin receptor 2C gene (HTR2C). Genetic association studies in complex disorders are convoluted by the multifactorial nature of these disorders, further complicating investigations of comorbidity. Recommendations for future studies include assessment of larger samples, inclusion of healthy controls, longitudinal rather than cross-sectional study designs, detailed capturing of data on confounding variables for both disorders and verification of significant findings in other populations. In future, big genomic datasets may allow for the calculation of polygenic risk scores in risk prediction of MetS in patients with schizophrenia. This could ultimately facilitate early, precise, and patient-specific pharmacological and non-pharmacological interventions to minimise CVD associated morbidity and mortality.

Aim: To align predicted and measured CYP2C19 phenotype in a South African cohort. Materials & methods: Genotyping of CYP2C19*2, *3, *9, *15, *17, *27 and *28 was performed using PCR-RFLP, and an activity score (AS) system was used to predict phenotype. True phenotype was measured using plasma concentrations of omeprazole and its metabolite 5′-hydroxyomperazole. Results: Partial genotype-phenotype discrepancies were reported, and an adapted AS system was developed, which showed a marked improvement in phenotype prediction. Results highlight the need for a more comprehensive CYP2C19 genotyping approach to improve prediction of omeprazole metabolism. Conclusion: Evidence for the utility of a CYP2C19 AS system is provided, for which the accuracy can be further improved by means of comprehensive genotyping and substrate-specific modification.

Diagnostics spanning a wide range of new biotechnologies, including proteomics, metabolomics, and nanotechnology, are emerging as companion tests to innovative medicines. In this Opinion, we present the rationale for promulgating an “Essential Diagnostics List.” Additionally, we explain the ways in which adopting a vision for “Health in All Policies” could link essential diagnostics with robust and timely societal outcomes such as sustainable development, human rights, gender parity, and alleviation of poverty. We do so in three ways. First, we propose the need for a new, “see through” taxonomy for knowledge-based innovation as we transition from the material industries (e.g., textiles, plastic, cement, glass) dominant in the 20th century to the anticipated knowledge industry of the 21st century. If knowledge is the currency of the present century, then it is sensible to adopt an approach that thoroughly examines scientific knowledge, starting with the production aims, methods, quality, distribution, access, and the ends it purports to serve. Second, we explain that this knowledge trajectory focus on innovation is crucial and applicable across all sectors, including public, private, or public–private partnerships, as it underscores the fact that scientific knowledge is a co-product of technology, human values, and social systems. By making the value systems embedded in scientific design and knowledge co-production transparent, we all stand to benefit from sustainable and transparent science. Third, we appeal to the global health community to consider the necessary qualities of good governance for 21st century organizations that will embark on developing essential diagnostics. These have importance not only for science and knowledge-based innovation, but also for the ways in which we can build open, healthy, and peaceful civil societies today and for future generations. Diagnostics spanning a wide range of new biotechnologies, including proteomics, metabolomics, and nanotechnology, are emerging as companion tests to innovative medicines. In this Opinion, we present the rationale for promulgating an “Essential Diagnostics List.” Additionally, we explain the ways in which adopting a vision for “Health in All Policies” could link essential diagnostics with robust and timely societal outcomes such as sustainable development, human rights, gender parity, and alleviation of poverty. We do so in three ways. First, we propose the need for a new, “see through” taxonomy for knowledge-based innovation as we transition from the material industries (e.g., textiles, plastic, cement, glass) dominant in the 20th century to the anticipated knowledge industry of the 21st century. If knowledge is the currency of the present century, then it is sensible to adopt an approach that thoroughly examines scientific knowledge, starting with the production aims, methods, quality, distribution, access, and the ends it purports to serve. Second, we explain that this knowledge trajectory focus on innovation is crucial and applicable across all sectors, including public, private, or public–private partnerships, as it underscores the fact that scientific knowledge is a co-product of technology, human values, and social systems. By making the value systems embedded in scientific design and knowledge co-production transparent, we all stand to benefit from sustainable and transparent science. Third, we appeal to the global health community to consider the necessary qualities of good governance for 21st century organizations that will embark on developing essential diagnostics. These have importance not only for science and knowledge-based innovation, but also for the ways in which we can build open, healthy, and peaceful civil societies today and for future generations.

A significant association was previously demonstrated between multiple sclerosis (MS) and the functional 5′-(GT)n polymorphism in the promoter region of the SLC11A1 gene, which has been implicated in both autoimmune and infectious disease susceptibility. In the present study the role of viral infection was investigated in South African MS patients in relation to specific SLC11A1 genotypes. Serum and peripheral blood mononuclear cells (PBMC) of 49 MS patients, 33 close relatives and 39 unrelated controls previously genotyped for SLC11A1 were screened for the presence of MS-associated retrovirus (MSRV) and two herpes virus (HHV-6 and EBV) sequences. Expression of the pol gene of MSRV was detected in the serum RNA of 34/49 (69%) MS patients whilst absent in the serum of 39 unrelated healthy control individuals (p < 0.001) but was also present in 23/33 (70%) of the unaffected close relatives of the patients. HHV-6 and EBV sequences were detected in both MS patients and control individuals. The viral sequences were not confined to a specific SLC11A1 genotype. Infection with these viruses is excluded as the primary cause for MS in the South African population since no significant differences were detected between MS patients and their unaffected close family members.

Caucasian South African patients with multiple sclerosis (MS) were screened for the most common hereditary haemochromatosis (HH) mutations, H63D and C282Y, in order to determine the impact of iron overload on clinical outcome of MS. DNA screening for mutations H63D and C282Y in 118 apparently unrelated MS patients did not reveal significant differences in allele frequencies in comparison with a control group from the same population. Of 17 MS patients heterozygous for C282Y, 3 had below normal and none had above normal transferrin saturation levels. One of the index MS patients, and subsequently also her sister who also has MS, tested positive for two copies of mutation C282Y. Determination of iron status revealed high serum ferritin and transferrin saturation levels in both patients. However, the index patient, being unaware of her C282Y status, had received treatment for iron deficiency in the past and her MS symptoms were less severe than those of her sister who has been wheelchair bound for the past 12 years and who did not take iron supplements. Lack of clinical manifestation of HH without any signs of organ damage in the C282Y homozygous MS patients is in accordance with a role of iron dysregulation in the aetiology of MS.

1 The macadamia nut borer Thaumatotibia (Cryptophlebia) batrachopa and the litchi moth Cryptophlebia peltastica are Afrotropical species causing extensive damage to cultivated macadamias and litchis in the northernmost provinces in South Africa. Cryptophlebia peltastica also occurs as natural populations throughout the country. 2 To analyse the population genetic structure of the two species, amplified fragment length polymorphism analysis was conducted. Patterns of genetic diversity in C. peltastica populations in the Mpumalanga province, where the species is controlled, were compared with those in the Western Cape, where populations occur under natural conditions. 3 Gene diversity was high within T. batrachopa populations (H = 0.2219) with significant genetic differentiation among populations (Gst = 0.358). Cluster analysis showed that geographical populations were closely related and extensive divergence was found over local scales. 4 Similar to that of T. batrachopa, genetic diversity and population differentiation was high within both C. peltastica Mpumalanga and Western Cape populations (H = 0.1906 and 0.1687 and Gst = 0.4124 and 0.3799, respectively). 5 It is suggested that the population genetic structure of both species is influenced by their limited ability to disperse. In addition, chemical control of C. peltastica in the Mpumalanga province has not succeeded in reducing the population size, but the C. peltastica population subdivision in the Western Cape may be influenced by the limited distribution of host plants in this region.

The caspase recruitment domain-containing protein 15 gene (CARD15) was recently identified as an important susceptibility gene for Crohn's disease (CD). The purpose of this study was to assess the likelihood that the three most common CARD15 mutations, R702W, G908R and 1007fs, contribute to inflammatory bowel disease (IBD) susceptibility in the South African colored population. The study cohort included 76 IBD patients, 41 with CD and 35 with ulcerative colitis (UC), and 100 population-matched controls. Mutations R702W, G908R and 1007fs were present at relatively low frequencies (

Several environmental factors have been implicated in the etiology of esophageal cancer (EC). The purpose of this study was to assess the likelihood that variation in the SLC11A1 gene contributes to EC susceptibility, possibly due to its role in inflammation and iron metabolism. The regions of the gene containing potential functional polymorphisms, including the promoter region and exon 2, were investigated. The study cohort included 105 EC South African Colored patients with squamous cell carcinoma (SCC) and 110 population-matched controls, with South African Colored referring to individuals of mixed ancestry. A significantly decreased frequency of the -237C--T promoter polymorphism was observed in the patient group with EC compared with the population-matched control group (P0.002, chi(2) with Yates's correction=7.87). A statistically significant disease association was also observed with allele 3 of the 5'-(GT)n promoter polymorphism (P0.0006, chi(2) with Yates's correction=10.16), but only in the absence of the T-allele at nucleotide position -237 following allelic stratification. Four novel variants were identified in intron 1 (IVS1-28C--T) and exon 2 (112G--A, 148delGACCAGCCC, 157insGACCAGCCCAG). The novel intronic polymorphism, IVS1-28C--T, was also significantly associated with EC (P0.05, chi(2) with Yates's correction=2.52). We demonstrate association of genetic variation in both the promoter region and intron 1 of the SLC11A1 gene with EC susceptibility.

A recently developed strip-assay for hemochromatosis provides a rapid method for simultaneous detection of multiple mutations, which among others includes the HFE gene mutations V53M, V59M, H63D, H63H, S65C, Q127H, E168Q, and C282Y, previously detected in the general South African population using gel-based mutation-screening methods. The objective of the study was to determine the frequency of the relatively rare mutations in samples selected for altered iron parameters or a family history of hereditary hemochromatosis (HH) as part of the validation process of the assay for routine diagnostic purposes. The study population consisted of 451 individuals previously screened for mutations C282Y and H63D by restriction enzyme analysis in order to confirm or possibly exclude a diagnosis of HH. These individuals were subjected to mutation screening using the commercially available hemochromatosis strip-assay. Previous positive results for mutations C282Y and H63D in 233 individuals confirmed the accuracy of the reverse-hybridization assay. Mutation S65C was detected in 13 Caucasians, including three compound heterozygotes. These constituted 2% (13/600) of the chromosomes without mutations C282Y or H63D. The African-specific HFE mutation V53M was detected in one out of 11 (9%) African subjects screened. Mutation E168Q was detected in a single Caucasian individual together with mutation H63D. Our data demonstrate the value of the strip-based technology in providing a rapid and reliable comprehensive test for simultaneous analysis of multiple mutations.

The conventional drug development paradigm can test new drug candidates only in a limited number of patients and healthy volunteers, typically in the order of a few thousand at most. While the common adverse drug reactions (ADRs) are discerned prior to clinical use, less common or rare ADRs and population-wide efficacy of new drugs are often delineated in greater granularity after regulatory approval in clinical practice. In some cases, serious ADRs may be discovered as long as 36 years after a drug receives regulatory approval (Ladewski et al., 2003). Surveillance of drug safety and efficacy after regulatory approval, pharmacovigilance, is therefore a centerpiece concept in clinical pharmacology and population health. Since the 1970s, governments around the world have established institutions for regulatory science and pharmacovigilance, although they remain cursory in many parts of the developing world. Early signal detection and mechanistic evaluation of ADRs and drug efficacy, not to mention extrapolation of pharmacovigilance data from populationto-population (i.e., population bridging), are areas of active research in rational therapeutics and postgenomics medicine. Health technology assessment (HTA), for example, has led to development of smart decision tools and foresight methods that inform postmarketing surveillance, and are relevant for other health products such as vaccines and nutritional supplements as well. Put in other words, pharmacovigilance aims to understand the epidemiology and mechanisms of vast heterogeneity in drug-related outcomes, be they ADRs or therapeutic outcomes, at an individual and population scale. Pharmacogenomics, another field of 21 century integrative biology, aims to explain the genomics basis individual differences in drug safety and efficacy. The new term pharmacogenovigilance, coined first by Sxardas x in 2010, is defined as ‘‘pharmacovigilance activities informed and guided by accompanying pharmacogenomics analyses.’’ (Sxardas x, 2010). Because both pharmacovigilance and pharmacogenomics share the objective of explaining person-to-person and between-population heterogeneity in drug pharmacokinetics and pharmacodynamics, pharmacogenovigilance buttresses the current efforts for rational and mechanistically informed monitoring of drugs. The integration of pharmacovigilance and pharmacogenomics activities under the rubric of the new field of pharmacogenovigilance offers much conceptual and practical advances, and are described in detail elsewhere (Sxardas x, 2010). For our purposes in this editorial, we wish to emphasize, however, that pharmacogenovigilance by virtue of its incorporation of pharmacogenomics biomarkers, is more mechanistic in its approach to surveillance than traditional pharmacovigilance. Such mechanistic orientation enables

Large-scale whole genome and exome resequencing studies have revealed that humans have a high level of deleterious rare variation, which has important implications for the design of future pharmacogenetics studies.Current pharmacogenetic guidelines focus on the implementation of common variation into dosing guidelines. However, it is becoming apparent that rare variation may also play an important role in differential drug response. Current sequencing technologies offer the opportunity to examine rare variation, but there are many challenges associated with such analyses. Nonetheless, if a comprehensive picture of the role that genetic variants play in treatment outcomes is to be obtained, it will be necessary to include the entire spectrum of variation, including rare variants, into pharmacogenetic research.In order to implement pharmacogenetics in the clinic, patients should be genotyped for clinically actionable pharmacogenetic variants and patients responding unfavourably to treatment after pharmacogenetics-based dosing should be identified and resequenced to identify additional functionally relevant variants, including rare variants. All derived information should be added to a central database to allow for the updating of existing dosing guidelines. By routinely implementing such strategies, pharmacogenetics-based treatment guidelines will continue to improve.

A subset of probands from 11 South African families with clinical and/or biochemical features of variegate porphyria (VP), but without the known protoporphyrinogen oxidase (PPOX) gene defects identified previously in the South African population, were subjected to mutation analysis. Disease-related mutation(s) could not be identified after screening virtually the entire PPOX gene by heteroduplex single-strand conformation polymorphism analysis (HEX-SSCP), although three new sequence variants were detected in exon 1 of the gene in three normal controls. The presence of these single base changes at nucleotide positions 22 (C/G), 27 (C/A) and 127 (C/A), in addition to the known exon 1 polymorphisms I-26 and I-150, indicates that this untranslated region of the PPOX gene is particularly mutation-prone. Furthermore, microsatellite markers flanking the PPOX and alpha-1 antitrypsin (PI) gene, on chromosomes 1 and 14, respectively, were used to assess the probability of involvement of these loci in disease presentation. Common alleles transmitted from affected parent to affected child were determined where possible in the mutation-negative index cases. Allelic frequencies of thesedisease-associatedalleles were compared to findings in the normal population, but no predominant disease-associated allele could be identified. Co-segregation of a specific haplotype with the disease phenotype could also not be demonstrated in a large Afrikaner family. It is concluded that further studies are warranted to determine the genetic factor(s) underlying the autosomal dominant pattern of inheritance in molecularly uncharacterized cases showing clinical symptoms of an acute porphyria.

Biological processes are fundamentally driven by complex interactions between biomolecules. Integrated high-throughput omics studies enable multifaceted views of cells, organisms, or their communities. With the advent of new post-genomics technologies, omics studies are becoming increasingly prevalent; yet the full impact of these studies can only be realized through data harmonization, sharing, meta-analysis, and integrated research. These essential steps require consistent generation, capture, and distribution of metadata. To ensure transparency, facilitate data harmonization, and maximize reproducibility and usability of life sciences studies, we propose a simple common omics metadata checklist. The proposed checklist is built on the rich ontologies and standards already in use by the life sciences community. The checklist will serve as a common denominator to guide experimental design, capture important parameters, and be used as a standard format for stand-alone data publications. The omics metadata checklist and data publications will create efficient linkages between omics data and knowledge-based life sciences innovation and, importantly, allow for appropriate attribution to data generators and infrastructure science builders in the post-genomics era. We ask that the life sciences community test the proposed omics metadata checklist and data publications and provide feedback for their use and improvement.

Aim: Many antipsychotic pharmacogenetics studies have been performed examining candidate genes or known variation; however, our understanding of the genetic factors involved in antipsychotic pharmacogenetic traits remains limited. Materials & methods: A well-characterized cohort of first-episode schizophrenia (FES) patients was used to identify a subset of nonresponders and responders to antipsychotic treatment for exome sequencing (n = 11). The variation observed in the responders and nonresponders was subsequently compared and a prioritization strategy was employed to identify variants for genotyping in the entire FES cohort (n = 103) as well as an additional Xhosa schizophrenia cohort (n = 222). Results: Examination of coding variation revealed a potential role for rare loss-of-function variants in treatment response outcomes. One variant, rs11368509, was found to be weakly associated with better treatment outcomes in the FES cohort (p = 0.057) and the Xhosa schizophrenia cohort (p = 0.016). In addition, the majority of the loss-of-function variation that was considered likely to be involved in antipsychotic treatment response was either novel or rare in Asian and European populations. Conclusion: This pilot study has highlighted the importance of exome sequencing for antipsychotic pharmacogenomics studies, particularly in African individuals. Furthermore, the results emphasize once again the complexity of antipsychotic pharmacogenomics and the need for future research. Original submitted 8 July 2013; Revision submitted 24 October 2013

This article announces the recipient of the 2014 inaugural Werner Kalow Responsible Innovation Prize in Global Omics and Personalized Medicine by the Pacific Rim Association for Clinical Pharmacogenetics (PRACP): Bernard Lerer, professor of psychiatry and director of the Biological Psychiatry Laboratory, Hadassah-Hebrew University Medical Center, Jerusalem, Israel. The Werner Kalow Responsible Innovation Prize is given to an exceptional interdisciplinary scholar who has made highly innovative and enduring contributions to global omics science and personalized medicine, with both vertical and horizontal (transdisciplinary) impacts. The prize is established in memory of a beloved colleague, mentor, and friend, the late Professor Werner Kalow, who cultivated the idea and practice of pharmacogenetics in modern therapeutics commencing in the 1950s. PRACP, the prize's sponsor, is one of the longest standing learned societies in the Asia-Pacific region, and was founded by Kalow and colleagues more than two decades ago in the then-emerging field of pharmacogenetics. In announcing this inaugural prize and its winner, we seek to highlight the works of prize winner, Professor Lerer. Additionally, we contextualize the significance of the prize by recalling the life and works of Professor Kalow and providing a brief socio-technical history of the rise of pharmacogenetics and personalized medicine as a veritable form of 21(st) century scientific practice. The article also fills a void in previous social science analyses of pharmacogenetics, by bringing to the fore the works of Kalow from 1995 to 2008, when he presciently noted the rise of yet another field of postgenomics inquiry--pharmacoepigenetics--that railed against genetic determinism and underscored the temporal and spatial plasticity of genetic components of drug response, with invention of the repeated drug administration (RDA) method that estimates the dynamic heritabilities of drug response. The prize goes a long way to cultivate transgenerational capacity and broader cognizance of the concept and practice of responsible innovation as an important criterion of 21(st) century omics science and personalized medicine. A new call is presently in place for the 2016 PRACP Werner Kalow prize. Nominations can be made in support of an exceptional individual interdisciplinary scholar, or alternatively, an entire research team, from any region in the world with a record of highly innovative contributions to global omics science and/or personalized medicine, in the spirit of responsible innovation. The application process is straightforward, requiring a signed, 1500-word nomination letter (by the applicant or sponsor) submitted not later than May 31, 2015.