The genome can be considered the blueprint for an organism. Composed of DNA, it harbours all organism-specific instructions for the synthesis of all structural components and their associated functions. The role of carriers of actual molecular structure and functions was believed to be exclusively assumed by proteins encoded in particular segments of the genome, the genes. In the process of converting the information stored genes into functional proteins, RNA – a third major molecule class – was discovered early on to act a messenger by copying the genomic information and relaying it to the protein-synthesizing machinery. Furthermore, RNA molecules were identified to assist in the assembly of amino acids into native proteins. For a long time, these - rather passive - roles were thought to be the sole purpose of RNA. However, in recent years, new discoveries have led to a radical revision of this view. First, RNA molecules with catalytic functions - thought to be the exclusive domain of proteins - were discovered. Then, scientists realized that much more of the genomic sequence is transcribed into RNA molecules than there are proteins in cells begging the question what the function of all these molecules are. Furthermore, very short and altogether new types of RNA molecules seemingly playing a critical role in orchestrating cellular processes were discovered. Thus, RNA has become a central research topic in molecular biology, even to the extent that some researcher dub cells as “RNA machines”. This thesis aims to contribute towards our understanding of RNA-related phenomena by applying Bioinformatics means. First, we performed a genome-wide screen to identify sites at which the chemical composition of DNA (the genotype) critically influences phenotypic traits (the phenotype) of the model plant Arabidopsis thaliana. Whole genome hybridisation arrays were used and an informatics strategy developed, to identify polymorphic sites from hybridisation to genomic DNA. Following this approach, not only were genotype-phenotype associations discovered across the entire Arabidopsis genome, but also regions not currently known to encode proteins, thus representing candidate sites for novel RNA functional molecules. By statistically associating them with phenotypic traits, clues as to their particular functions were obtained. Furthermore, these candidate regions were subjected to a novel RNA-function classification prediction method developed as part of this thesis. While determining the chemical structure (the sequence) of candidate RNA molecules is relatively straightforward, the elucidation of its structure-function relationship is much more challenging. Towards this end, we devised and implemented a novel algorithmic approach to predict the structural and, thereby, functional class of RNA molecules. In this algorithm, the concept of treating RNA molecule structures as graphs was introduced. We demonstrate that this abstraction of the actual structure leads to meaningful results that may greatly assist in the characterization of novel RNA molecules. Furthermore, by using graph-theoretic properties as descriptors of structure, we indentified particular structural features of RNA molecules that may determine their function, thus providing new insights into the structure-function relationships of RNA. The method (termed Grapple) has been made available to the scientific community as a web-based service. RNA has taken centre stage in molecular biology research and novel discoveries can be expected to further solidify the central role of RNA in the origin and support of life on earth. As illustrated by this thesis, Bioinformatics methods will continue to play an essential role in these discoveries. / Das Genom eines Organismus enthält alle Informationen für die Synthese aller strukturellen Komponenten und deren jeweiligen Funktionen. Lange Zeit wurde angenommen, dass Proteine, die auf definierten Abschnitten auf dem Genom – den Genen – kodiert werden, die alleinigen Träger der molekularen - und vor allem katalytischen - Funktionen sind. Im Prozess der Umsetzung der genetischen Information von Genen in die Funktion von Proteinen wurden RNA Moleküle als weitere zentrale Molekülklasse identifiziert. Sie fungieren dabei als Botenmoleküle (mRNA) und unterstützen als Trägermoleküle (in Form von tRNA) die Zusammenfügung der einzelnen Aminosäurebausteine zu nativen Proteine. Diese eher passiven Funktionen wurden lange als die einzigen Funktionen von RNA Molekülen angenommen. Jedoch führten neue Entdeckungen zu einer radikalen Neubewertung der Rolle von RNA. So wurden RNA-Moleküle mit katalytischen Eigenschaften entdeckt, sogenannte Ribozyme. Weiterhin wurde festgestellt, dass über proteinkodierende Abschnitte hinaus, weit mehr genomische Sequenzbereiche abgelesen und in RNA Moleküle transkribiert werden als angenommen. Darüber hinaus wurden sehr kleine und neuartige RNA Moleküle identifiziert, die entscheidend bei der Koordinierung der Genexpression beteiligt sind. Diese Entdeckungen rückten RNA als Molekülklasse in den Mittelpunkt moderner molekularbiologischen Forschung und führten zu einer Neubewertung ihrer funktionellen Rolle. Die vorliegende Promotionsarbeit versucht mit Hilfe bioinformatorischer Methoden einen Beitrag zum Verständnis RNA-bezogener Phänomene zu leisten. Zunächst wurde eine genomweite Suche nach Abschnitten im Genom der Modellpflanze Arabidopsis thaliana vorgenommen, deren veränderte chemische Struktur (dem Genotyp) die Ausprägung ausgewählter Merkmale (dem Phänotyp) entscheidend beeinflusst. Dabei wurden sogenannte Ganz-Genom Hybridisierungschips eingesetzt und eine bioinformatische Strategie entwickelt, Veränderungen der chemischen Struktur (Polymorphismen) anhand der veränderten Bindung von genomischer DNA aus verschiedenen Arabidopsis Kultivaren an definierte Proben auf dem Chip zu detektieren. In dieser Suche wurden nicht nur systematisch Genotyp-Phänotyp Assoziationen entdeckt, sondern dabei auch Bereiche identifiziert, die bisher nicht als proteinkodierende Abschnitte annotiert sind, aber dennoch die Ausprägung eines konkreten Merkmals zu bestimmen scheinen. Diese Bereiche wurden desweiteren auf mögliche neue RNA Moleküle untersucht, die in diesen Abschnitten kodiert sein könnten. Hierbei wurde ein neuer Algorithmus eingesetzt, der ebenfalls als Teil der vorliegenden Arbeit entwickelt wurde. Während es zum Standardrepertoire der Molekularbiologen gehört, die chemische Struktur (die Sequenz) eines RNA Moleküls zu bestimmen, ist die Aufklärung sowohl der Struktur als auch der konkreten Funktion des Moleküls weitaus schwieriger. Zu diesem Zweck wurde in dieser Arbeit ein neuer algorithmischer Ansatz entwickelt, der mittels Computermethoden eine Zuordnung von RNA Molekülen zu bestimmten Funktionsklassen gestattet. Hierbei wurde das Konzept der Beschreibung von RNA-Sekundärstrukturen als Graphen genutzt. Es konnte gezeigt werden, dass diese Abstraktion von der konkreten Struktur zu nützlichen Aussagen zur Funktion führt. Des weiteren konnte demonstriert werden, dass graphen-theoretisch abgeleitete Merkmale von RNA-Molekülen einen neuen Zugang zum Verständnis der Struktur-Funktionsbeziehungen ermöglichen. Die entwickelte Methode (Grapple) wurde als web-basierte Anwendung der wissenschaftlichen Welt zur Verfügung gestellt. RNA hat sich als ein zentraler Forschungsgegenstand der Molekularbiologie etabliert und neue Entdeckungen können erwartet werden, die die zentrale Rolle von RNA bei der Entstehung und Aufrechterhaltung des Lebens auf der Erde weiter untermauern. Bioinformatische Methoden werden dabei weiterhin eine essentielle Rolle spielen.

<p>Sexual assault is a significant problem facing the South African society. In this context, efficient but also affordable genotyping systems are needed for positive identification of criminals in incidences of sexual violence. The aim of this study was therefore to develop non-commercial Y-STR genotyping systems suitable for sexual assault cases in South Africa. Y-chromosome STR loci constituting the minimal haplotype are still the most widely used loci in investigating sexual assault cases despite the fact that DYS391 and DYS392 have shown low levels of polymorphism in Xhosa populations in Cape Town. The minimal haplotype was, therefore, further investigated in the Cape Muslim population. The Cape Muslim population generally exhibited high GD values among all the South African populations. These values were higher than 0.5 for most loci, and ranged from 0.447 for DYS391 to 0.957 for DYS385. The highest number of alleles in most loci was also recorded in this population. The overall assessment of the minimal haplotype has shown that this system is still a useful in investigating sexual assault case in many South African subpopulations. Therefore the exercise of internal validation of the minimal haplotype system was successfully carried out in the laboratory. iii The properties of additional novel and widely used STRs were also investigated in this study. Loci were successfully sequenced and allele nomenclature was assigned to them according to the ISFG guidelines.</p>

The aim of the present study was to evaluate the power of discrimination and genetic (diversity) parameters in the Y chromosome extended haploytpe markers in populations of Tanzania for forensic and populations studies. Eleven Y chromosome extended haplotype markers were selected for this study, these includes Minimal haplotypes markers i.e. DYS19, DYS390, DYS391, DYS392, DYS393, DYS385a/b, DYS389I/II and two additional markers DYS438 and DYS439. Six populations of Tanzania were investigated under this study. These populations were selected based on the language family categories / Niger Congo (Kuria and Sukuma), Nilo Saharan (Luo and Maasai) and Afro Asiatic (Iraqw and Alagwa).

Nucleic acid technology has assumed an essential role invarious areas ofin vitrodiagnostics ranging from infectious diseasediagnosis to human genetics. An important requirement of suchmolecular methods is that they achieve high sensitivity andspecificity with a fast turnaround time in a cost-effectivemanner. To this end, in this thesis we have focused on thedevelopment of sensitive nucleic acid strategies thatfacilitate automation and high-throughput analysis. The success of nucleic acid diagnostics in the clinicalsetting depends heavily on the method used for purification ofthe nucleic acid target from biological samples. Here we havefocused on developing strategies for hybridisation capture ofsuch templates. Using biosensor technology we observed that thehybridisation efficiency could be improved using contiguousoligonucleotide probes which acted co-operatively. Byimmobilising one of the probes and annealing the second probein solution, we achieved a marked increase in target capturedue to a base stacking effect between nicked oligonucleotidesand/or due to the opening up of secondary structure. Suchco-operatively interacting modular probes were then combinedwith bio-magnetic bead technology to develop a capture systemfor the extraction of hepatitis C RNA from serum. Viral capturewith such co-operatively interacting probes extracted 2-foldmore target as capture with only a single probe achieving asimilar sensitivity to the conventional extraction protocol. Ananalogous strategy was designed to enrich for sequencingproducts prior to gel electrophoresis removing sequencingreagents and template DNA which interfere with the separationand detection of sequencing ladders, especially in the case ofcapillary gel electrophoresis. This protocol facilitates highthroughput clean-up of cycle sequencing reactions resulting inaccurate sequence data at a low cost, which is a pre-requisitefor large-scale genome sequencing products. Currently, a large effort is directed towards differentialsequencing to identify mutations or polymorphisms both in theclinical laboratory and in medical genetics. Inexpensive, highthroughput methods are therefore required to rapidly screen atarget nucleic acid for sequence based changes. In the clinicalsetting, sequence analysis of human immunodeficiency virus(HIV-1) is used to determine the presence of drug resistancemutations. Here we describe a bioluminometric pyrosequencingapproach to rapidly screen for the presence of drug resistancemutations in the protease gene of HIV-1. This sequencingstrategy can analyse the protease gene of HIV-1 from eightpatients in less than an hour and such non-gel based approachesshould be useful in the future in a clinical setting for rapid,robust mutation detection. Microarray technology facilitates large-scalemutation/polymorphism detection and here we developed amicroarray based single nucleotide polymorphism (SNP)genotyping strategy based on apyrase mediated allele specificextension (AMASE). AMASE exploits the fact that mismatchedprimers exhibit slower reaction kinetics than perfectly matchedprimers by including a nucleotide degrading enzyme (apyrase)which results in degradation of the nucleotides before themismatched primer can be extended. We have successfully typed200 genotypes (14% were incorrect without apyrase) by AMASEwhich cluster into three distinct groups representing the threepossible genotypes. In the future, AMASE on DNA microarraysshould facilitate association studies where an accuracy&gt;99%is required. <b>Keywords:</b>nucleic acid capture, modular probes,biosensor, bio-magnetic separation, hepatitis C, sequencing,pyrosequencing, mutation detection, HIV-1, drug resistance,SNP, allele-specific extension, apyrase, genotyping.

Padlock probes are useful in a variety of genetic applications, some of which require that the probes are amplified in order to generate detectable signals. Two general padlock amplification methods, RCA and PCR, are discussed in this thesis. The isothermal rolling circle amplification (RCA) mechanism is described in detail as well as how a target strand affects primer extension. A mechanism to resolve the topological constraint imposed by the target strand, to which a padlock probe has been linked, is also discussed. We also present a more powerful amplification technique, termed serial circle amplification, which provides a highly precise tool for nucleic acid studies. Rolling circle products are digested to unit lengths, and each monomer converted to new circular oligonucleotides that can serve as templates in consecutive rounds of RCA. The final products are single-stranded DNA molecules, readily available for hybridization-based detection, for instance using molecular beacons or array hybridization. Padlock probes have the potential to be combined in large numbers for parallel gene analysis. A significant improvement of the level of multiplexed genotyping is presented using padlock probes and a molecular inversion strategy. Padlock probes containing common primer sequences along with locus-specific tag sequences were combined in multiplexed ligation reactions. After exonucleolytic selection for circular molecules, the probes were cleaved at uracil residues situated between the primer sequences, which facilitated release from the genomic DNA. A single PCR primer pair amplified all molecularly inverted probes, and the products were finally sorted on microarrays for simultaneous readout. Up to 1,500 genotypes could be detected in parallel, with sufficient signal strength for further scale-up. Finally, an application of the same parallel genotyping strategy is described where a set of padlock probes was used to study tumor induced immune responses. The distribution of TCR Vβ transcripts in tumor infiltrating T-cells and in normal control tissues were investigated in a microarray format.

Most human traits and common diseases have a complex genetic makeup involving more than one gene. The work presented in this thesis investigates standing body height and the common disease type 2 diabetes mellitus (T2DM). In study I we analyzed two single nucleotide polymorphisms (SNPs) in the TCF7L2 gene that had been shown to be associated with T2DM. Analysis was performed in the ULSAM population cohort of ~1500 males. We were able to replicate the association to type 2 diabetes and in addition to that we made a novel find, showing association between the risk alleles and increased proinsulin levels. In study II we analyzed four genes identified to be associated with T2DM in a genome-wide association study. We analyzed SNPs in these genes in the ULSAM population cohort and found an association between SNPs in the HHEX gene and insulin responses and insulin levels. The aim of studies III-V was to identify genes affecting normal variation in standing body height. Using a candidate gene approach in study III, 17 genes were screened in the ULSAM population cohort using SNPs. A suggestive association of the ESR1 gene with height was found and confirmed as significant in males from the PIVUS population cohort. In study IV, as a part of the GenomEUtwin project, we performed genetic fine mapping of a linked locus for body height on the X-chromosome. By analyzing 1377 SNPs in 780 Finnish twins, we mapped a region spanning 65kb of this locus with linkage to body height in males. This region contains the GPC3 and PHF6 genes that have known connections to syndromes were standing body height is affected. In study V significant linkage and association to standing body height in males was found for the COL1A11 gene, using population cohorts from Finland and Iceland.

Pathogenic organisms are transmitted to the host organism through all possible connected pathways, and cause a myriad of diseases states. Commonly occurring curable infectious diseases still impose the greatest health impacts on a worldwide perspective. The Bill &amp; Melinda Gates Foundation partnered with RAND Corporation to form the Global Health Diagnostics Forum, with the goal of establishing and interpreting mathematical models for what effects a newly introduced point-of-care pathogen diagnostic would have in developing countries. The results were astonishing, with potentially millions of lives to be saved on an annual basis. Golden standard for diagnostics of pathogenic bacteria has long been cultureable medias. Environmental biologists have estimated that less than 1% of all bacteria are cultureable. Genomic-based approaches offer the potential to identify all microbes from all the biological kingdoms. Nucleic acid based pathogen diagnostics has evolved significantly over the past decades. Novel technologies offer increased potential in sensitivity, specificity, decreased costs and parallel sample management. However, most methods are confined to core laboratory facilities. To construct an ultimate nucleic acid based diagnostic for use in areas of need, potential frontline techniques need to be identified and combined. The research focus of this doctoral thesis work has been to develop and apply nucleic acid based methods for pathogen diagnostics. Methods and assays were applied to the two distinct systems i) screening for antibiotic resistance mutations in the bacterial pathogen Neisseria gonorrhoeae, and ii) genotype determination of the cancer causative Human Papillomavirus (HPV). The first part of the study included development of rapid, direct and multiplex Pyrosequencing nucleic acid screenings. With improved methodology in the sample preparation process, we could detect an existence of multiple co-infecting HPV genotypes at greater sensitivities than previously described, when using the same type of methodology. The second part of the study focused on multiplex nucleic acid amplification strategies using Molecular Inversion Probes with end-step Pyrosequencing screening. The PathogenMip assay presents a complete detection schematic for virtually any known pathogenic organism. We also introduce the novel Connector Inversion Probe, a padlock probe capable of complete gap-fill reactions for multiplex nucleic acid amplifications. / Patogena organismer smittas till värd organismen genom alla möjliga kontaktnätverk och skapar en mångfald olika sjukdomstillstånd. Dock är det fortfarande vanligt förekommande behandlingsbara infektiösa sjukdomar som orsakar den största hälsoförlusten, sett från ett globalt perspektiv. Bill och Melinda Gates Stiftelsen samarbetade med RAND kooperation för att forma “The Global Health Diagnostics Forum”. Deras mål var att etablera och analysera matematiska modeller för vilka effekter en ny diagnostisk metod utrustat för fältarbete skulle ha i utvecklingsländer. Resultaten var häpnadsveckande, med potentiellt miljoner av liv som skulle kunna räddas på en årlig basis. Den etablerade standarden för diagnostik av patogena bakterier har länge varit kultiveringsmedia baserad. Miljö specialiserade biologer har estimerat att mindre än 1 % av alla bakterie arter går att kultivera. Dock erbjuder genetiska analyser potentialen att kunna identifiera alla mikrober från alla de biologiska rikena. Nukleinsyrebaserade diagnostiska metoder har märkbart förbättrats över de senaste årtionden. Nya tekniker erbjuder utökad sensitivitet, selektivitet, sänkta kostnader och parallella analyser av patient prover. Dock är de flesta metoderna begränsade till standardiserade laboratoriemiljöer. För att konstruera en väl fungerande diagnostisk fältutrustning för användning i problem områden, behöver världsledande tekniker identifieras och kombineras. Fokuseringsområdet för denna doktorsavhandling har varit att utveckla och utföra nukleinsyrebaserade metoder för patogen diagnostik. Metoder och experimentella utförande applicerades på två distinkta system i) sökning av antibiotika resistens relaterade mutationer i den patogena bakterien Neisseria gonorrhoeae och ii) genotypning av det cancer orsakande Humana Papillomaviruset (HPV). Den första delen av studien inriktade sig mot utveckling av snabba, direkta och multiplexa Pyrosekvenserings baserade nukleinsyreanalyser. Med förbättrad provprepareringsmetodologi kunde vi detektera multipla HPV infektioner med högre sensitivitet än vad tidigare beskrivits med liknande metodologi. Den andra delen av studien fokuserades på multiplexa nukleinsyre amplifikationer med “Molecular Inversion Probe” tekniken med sista steg Pyrosekvenserings analys. “PathogenMip assay” erbjuder ett komplett detektionsprotokoll för alla kända patogena organismer. Vi introducerar även den nya “Connector Inversion Probe”, en “Padlock Probe” kapabel att genomföra kompletta gap fyllningar för multiplex nukleinsyre amplifiering. / QC 20100624

Developments within the field of genetic analysis have during the last decade become enormous. Advances in DNA sequencing technology have increased throughput from a thousand bases to over a billion bases in a day and decreased the cost thousandfold per base. Nevertheless, to sequence complex genomes like the human is still very expensive and efforts to attain even higher throughputs for less money are undertaken by researchers and companies. Genotyping systems for single nucleotide polymorphism (SNP) analysis with whole genome coverage have also been developed, with low cost per SNP. There is, however, a need for genotyping assays that are more cost efficient per sample with considerably higher accuracy. This thesis is focusing on a technology, based on competitive allele-specific extension and microarray detection, for genetic analysis. To increase specificity in allele-specific extension (ASE), a nucleotide degrading enzyme, apyrase, was introduced to compete with the polymerase, only allowing the fast, perfect matched primer extension to occur. The aim was to develop a method for analysis of around twenty loci in hundreds of samples in a high-throughput microarray format. A genotyping method for human papillomavirus has been developed, based on a combination of multiplex competitive hybridization (MUCH) and apyrase-mediated allele-specific extension (AMASE). Human papillomavirus (HPV), which is the causative agent in cervical cancer, exists in over a hundred different types. These types need to be determined in clinical samples. The developed assay can detect the twenty-three most common high risk types, as well as semi-quantifying multiple infections, which was demonstrated by analysis of ninety-two HPV-positive clinical samples. More stringent conditions can be obtained by increased reaction temperature. To further improve the genotyping assay, a thermostable enzyme, protease, was introduced into the allele-specific extension reaction, denoted PrASE. Increased sensitivity was achieved with an automated magnetic system that facilitates washing. The PrASE genotyping of thirteen SNPs yielded higher conversion rates, as well as more robust genotype scoring, compared to ASE. Furthermore, a comparison with pyrosequencing, where 99.8 % of the 4,420 analyzed genotypes were in concordance, indicates high accuracy and robustness of the PrASE technology. Single cells have also been analyzed by the PrASE assay to investigate loss of alleles during skin differentiation. Single cell analysis is very demanding due to the limited amounts of DNA. The multiplex PCR and the PrASE assay were optimized for single cell analysis. Twenty-four SNPs were genotyped and an increased loss of genetic material was seen in cells from the more differentiated suprabasal layers compared to the basal layer. / QC 20100714

The human genome reference sequence has given us a two‐dimensional blueprint of our inherited code of life, but we need to employ modern‐day technology to expand our knowledge into a third dimension. Inter‐individual and intra‐individual variation has been shown to be larger than anticipated, and the mode of genetic regulation more complex. Therefore, the methods that were once used to explain our fundamental constitution are now used to decipher our differences. Over the past four years, throughput from DNA‐sequencing platforms has increased a thousand‐fold, bearing evidence of a rapid development in the field of methods used to study DNA and the genomes it constitutes. The work presented in this thesis has been carried out as an integrated part of this technological evolution, contributing to it, and applying the resulting solutions to answer difficult biological questions. Papers I and II describe a novel approach for microarray readout based on immobilization of magnetic particles, applicable to diagnostics. As benchmarked on canine mitochondrial DNA, and human genomic DNA from individuals with cystic fibrosis, it allows for visual interpretation of genotyping results without the use of machines or expensive equipment. Paper III outlines an automated and cost‐efficient method for enrichment and titration of clonally amplified DNA‐libraries on beads. The method uses fluorescent labeling and a flow‐cytometer to separate DNA‐beads from empty ones. At the same time the fraction of either bead type is recorded, and a titration curve can be generated. In paper IV we combined the highly discriminating multiplex genotyping of trinucleotide threading with the digital readout made possible by massively parallel sequencing. From this we were able to characterize the allelic distribution of 88 obesity related SNPs in a population of 462 individuals enrolled at a childhood obesity center. Paper V employs the throughput of present day DNA sequencingas it investigates deep into sun‐exposed skin to find clues on the effects of sunlight during the course of a summer holiday. The tumor suppressor p53 gene was targeted, only to find that despite its well‐documented involvement in the disease progression of cancers, an estimated 35,000 novel sun‐induced persistent p53 mutations are added and phenotypically tolerated in the skin of every individual every year. The last paper, VI, describes a novel approach for finding breast cancer biomarkers. In this translational study we used differential protein expression profiles and sequence capture to select and enrich for 52 candidate genes in DNA extracted from ten tumors. Two of the genes turned out to harbor protein‐altering mutations in multiple individuals.

<p>The aim of this study was to investigate the genetic diversity of the SLC22A1 gene and to deduce its possible pharmacogenetic implications within the Cape Coloured population of South&nbsp / Africa / a uniquely admixed population of immigrant Europeans, Asians and the indigenous populations. Recent studies have reported an abundance of polymorphic variants within this solute&nbsp / carrier transporter gene encoding for the organic cation transporter 1, as well as evidence linking these variants to an effect on metformin uptake. This study included establishing baseline&nbsp / frequency distribution of previously reported alleles for 20 SNP variants within the SLC22A1 gene, as well as the development of SNaPshot&reg / and Multiplex AS-PCR genotyping assays, and&nbsp / also exploring the possibility of using High-resolution melt (HRM) analysis as a costeffective alternative for SNP genotyping. Ethics clearance was obtained from the Ethics Committee of the&nbsp / University of the Western Cape. Biological samples in the form of buccal (oral) swabs were collected from 132 unrelated voluntary donors from the Cape Coloured population residing in the&nbsp / Cape Metropolitan area. Two SNaPshot&reg / Multiplex Systems were specifically designed for the study,successfully optimized and used for genotyping. Hundred genetic profiles were then generated for a total of 20 SNP variants on SLC22A1 gene, using this primer extension-based genotyping method that enables multiplexing up 10 SNPs. Population genetics data obtained for&nbsp / the investigated SNPs were analysed using various statistical analysis software. Important population genetic parameters were calculated, and possible pharmacogenetics implications were then discussed. Among others, allelic and genotypic frequencies, as well as linkage disequilibrium were determined and compared with world populations. Minor deviation from Hardy- Weinberg equilibrium was observed in the Cape Coloured population. No significantLinkage Disequilibrium between the investigated SNPs was observed in this population. A Multiplex allele specific &ndash / PCR (MAS-PCR) genotyping&nbsp / system was successfully designed and optimized for the genotyping of 10 SNPs from the SLC22A1. This system, also developed specifically for this study, was made of 2 multiplexes each covering 5 SNPs. It is an inexpensive genotyping assay that allows for efficient discrimination of SNP polymorphisms in one reaction tube with standard PCR conditions. A pilot study was&nbsp / conducted to explore the possibility of using High-resolution melt (HRM) analysis as a cost-effective alternative for SNP genotyping. In addition to genotyping, HRM analysis can be used to scan&nbsp / large numbers of samples for novel genetic variations.&nbsp / </p>