<p>In this thesis techniques are presented that aim to determine individual DNA signatures by controlled synthesis of nucleic acid multimers. Allele-specific extension reactions with an improved specificity were applied for several genomic purposes. Since DNA polymerases extend some mismatched 3’-end primers, an improved specificity is a concern. This has been possible by exploiting the faster extension of matched primers and applying the enzymes apyrase or Proteinase K. The findings were applied to methods for resequencing and viral and single nucleotide polymorphism (SNP) genotyping.</p><p>P53 mutation is the most frequent event in human cancers. Here, a model system for resequencing of 15 bps in p53 based on apyrase-mediated allele-specific extension (AMASE) is described, investigated and evaluated (Paper I). A microarray format with fluorescence detection was used. On each array, four oligonucleotides were printed for each base to resequence. Target PCR products were hybridized and an AMASE-reaction performed in situ to distinguish which of the printed oligonucleotides matched the target. The results showed that without the inclusion of apyrase, the resulting sequence was unreadable. The results open the possibilities for developing large-scale resequencing tools.</p><p>The presence of certain types of human papillomaviruses (HPV) transforms normal cells into cervical cancer cells. Thus, HPV type determination is clinically important. Also, multiple HPV infections are common but difficult to distinguish. Therefore, a genotyping platform based on competitive hybridization and AMASE is described, used on clinical sample material and evaluated by comparison to Sanger DNA sequencing (Papers II and III). A flexible tag-microarray was used for detection and the two levels of discrimination gave a high level of specificity. Easy identification of multiple infections was possible which provides new opportunities to investigate the importance of multiply infected samples.</p><p>To achieve highly multiplexed allele-specific extension reactions, large numbers of primers will be employed and lead to spurious hybridizations. Papers IV to VI focus on an alternative approach to control oligomerization by using protease mediated allele-specific extension (PrASE). In order to maintain stringency at higher temperatures, Proteinase K, was used instead of apyrase, leading to DNA polymerase degradation and preventing unspecific extensions. An automated assay with tag-array detection for SNP genotyping was established. First PrASE was introduced and characterized (Paper IV), then used for genotyping of 10 SNPs in 442 samples (Paper V). A 99.8 % concordance to pyrosequencing was found. PrASE is a flexible tool for association studies and the results indicate an improved assay conversion rate as compared to plain allele-specific extension.</p><p>The highly polymorphic melanocortin-1 receptor gene (MC1R) is involved in melanogenesis. Twenty-one MC1R variants were genotyped with PrASE since variants in the gene have been associated to an increased risk of developing melanoma. A pilot study was performed to establish the assay (Paper VI) and subsequently a larger study was executed to investigate allele frequencies in the Swedish population (Paper VII). The case and control groups consisted of 1001 and 721 samples respectively. A two to sevenfold increased risk of developing melanoma was observed for carriers of variants.</p>

The aim of the present study was to describe the genetic polymorphism of the -LG milk protein locus in the Lithuanian Blackface sheep breed obtained using isoelectric focusing (IEF) method and in the Lithuanian Native Coarse wool sheep – using PCR-RFLP method. The results of study as follows: in Lithuanian Blackface sheep two genetic variants A and B with allele frequency of A=0.52 and B=0.48 were identified. The most frequent genotype in Lithuanian Blackface breed, detected in 66.7 % of studied individuals, was heterozygous genotype AB. Homozygous genotypes AA and BB were observed at frequencies of 19.0 % and 14.3 %, respectively. In Lithuanian Native Coarse wool sheep two genetic variants A and B with allele frequency of A=0.69 and B=0.31 were identified. The BB genotype was not frequent (7.8 %) in Lithuanian Native Coarse wool breed. The genotypes AA and AB were observed at frequency of 46.1 %. Mean observed heterozygosity value (Hobs=0.511) in Lithuanian Blackface sheep was slightly lower than mean expected heterozygosity (Hexp=0.667). In Lithuanian Native Coarse wool sheep mean expected heterozygosity value (Hobs=0.461) was similar to the mean observed heterozygosity (Hexp=0.434). The deviation from Hardy-Weinberg equilibrium was not detected in any of those breeds. Conclusions: the detected high frequency of genotype AB in meat-wool type Lithuanian Blackface and Lithuanian Native Coarse wool sheep might be in agreement with the observations made by Bocharev. Since the... [to full text]

<p>OVARIAN cancer research focuses on answering important questions related to the disease, determining whether new approaches are feasible to contribute towards improving current treatments or discovering new ones. This study focused on the transcriptional regulation of genes that have been implicated in ovarian cancer, based on the occurrences of single nucleotide polymorphisms (SNPs) within transcription factor binding sites (TFBSs). Through the application of several in silico tools, databases and custom programs, this research aimed to contribute toward the identification of potentially bio-medically important genes or SNPs for pre-diagnosis and subsequent treatment planning of ovarian cancer. A total of 379 candidate genes that have been experimentally associated with ovarian cancer were analyzed. This led to the identification of 121 SNPs that were found to coincide with putative TFBSs potentially influencing a total of 57 transcription factors that would normally bind to these TFBSs. These SNPs with potential phenotypic effect were then evaluated among several population groups, defined by the International HapMap consortium resulting in the identification of three SNPs present in five or more of the eleven population groups that have been sampled.</p>

Background: Hereditary transthyretin amyloidosis is an autosomal dominant disease with a reduced penetrance. The most common mutation in Sweden is the V30M mutation in the transthyretin gene. Clustering areas of the disease can be found in Northern Sweden, Portugal, Brazil and Japan, although sporadic cases exist worldwide. Despite being caused by the same mutation, there are large differences in onset, penetrance and symptoms of the disease. Swedish V30M patients typically have a later onset with a lower penetrance compared to those from the clustering Portuguese V30M areas. The reasons for these differences have not been fully understood. The aim of this thesis is to study mechanisms that may influence onset and symptoms and investigate why patients carrying the same mutation have different phenotypes. Methods: Genealogy studies were performed on all known V30M carriers in Sweden using standard genealogy methods. DNA samples from patients, asymptomatic carriers and controls from different countries were collected and the transthyretin gene was sequenced. Liver biopsies from patients were used for allele specific expression analysis and a cell assay was used for miRNA analysis with the mutated allele. Gene expression analysis was performed on biopsies from liver and fat from patients and controls. Results and conclusions: Genealogic analysis of all known Swedish V30M carriers managed to link together 73% of the Swedish ATTR V30M population to six different ancestors from the 17th and 18th century, thus dating the Swedish V30M mutation to be more than 400 years old. A founder effect was also visible in descendants to one of the ancestors, producing a later age at onset. Sequencing of the transthyretin gene revealed a SNP in the 3’ UTR of all Swedish V30M carriers that was not found in any of the Japanese or French V30M carriers. The SNP was present on the Swedish transthyretin haplotype and defined the Swedish V30M population as separate from others. However, the SNP itself had no effect upon phenotype or onset of disease. Gene expression analysis of liver and fat tissue revealed a change in genetic profile of the patients’ livers, in contrast to the unchanged profile of the fat tissue. A changed genetic profile of the liver could explain why domino liver recipients develop the disease much earlier than expected.

In this thesis techniques are presented that aim to determine individual DNA signatures by controlled synthesis of nucleic acid multimers. Allele-specific extension reactions with an improved specificity were applied for several genomic purposes. Since DNA polymerases extend some mismatched 3’-end primers, an improved specificity is a concern. This has been possible by exploiting the faster extension of matched primers and applying the enzymes apyrase or Proteinase K. The findings were applied to methods for resequencing and viral and single nucleotide polymorphism (SNP) genotyping. P53 mutation is the most frequent event in human cancers. Here, a model system for resequencing of 15 bps in p53 based on apyrase-mediated allele-specific extension (AMASE) is described, investigated and evaluated (Paper I). A microarray format with fluorescence detection was used. On each array, four oligonucleotides were printed for each base to resequence. Target PCR products were hybridized and an AMASE-reaction performed in situ to distinguish which of the printed oligonucleotides matched the target. The results showed that without the inclusion of apyrase, the resulting sequence was unreadable. The results open the possibilities for developing large-scale resequencing tools. The presence of certain types of human papillomaviruses (HPV) transforms normal cells into cervical cancer cells. Thus, HPV type determination is clinically important. Also, multiple HPV infections are common but difficult to distinguish. Therefore, a genotyping platform based on competitive hybridization and AMASE is described, used on clinical sample material and evaluated by comparison to Sanger DNA sequencing (Papers II and III). A flexible tag-microarray was used for detection and the two levels of discrimination gave a high level of specificity. Easy identification of multiple infections was possible which provides new opportunities to investigate the importance of multiply infected samples. To achieve highly multiplexed allele-specific extension reactions, large numbers of primers will be employed and lead to spurious hybridizations. Papers IV to VI focus on an alternative approach to control oligomerization by using protease mediated allele-specific extension (PrASE). In order to maintain stringency at higher temperatures, Proteinase K, was used instead of apyrase, leading to DNA polymerase degradation and preventing unspecific extensions. An automated assay with tag-array detection for SNP genotyping was established. First PrASE was introduced and characterized (Paper IV), then used for genotyping of 10 SNPs in 442 samples (Paper V). A 99.8 % concordance to pyrosequencing was found. PrASE is a flexible tool for association studies and the results indicate an improved assay conversion rate as compared to plain allele-specific extension. The highly polymorphic melanocortin-1 receptor gene (MC1R) is involved in melanogenesis. Twenty-one MC1R variants were genotyped with PrASE since variants in the gene have been associated to an increased risk of developing melanoma. A pilot study was performed to establish the assay (Paper VI) and subsequently a larger study was executed to investigate allele frequencies in the Swedish population (Paper VII). The case and control groups consisted of 1001 and 721 samples respectively. A two to sevenfold increased risk of developing melanoma was observed for carriers of variants. / QC 20101028

The studies in this thesis describe the application of genotyping and allele specific expression analysis to genetic studies. The role of the gene NPC1 in Triglyceride metabolism was explored in mouse models and in humans on the population level in study I. NPC1 was found to affect hepatic triglyceride metabolism, and to be relevant for controlling serum triglyceride levels in mice and potentially in humans. In study II the utility of the HapMap CEU samples was investigated for tagSNP selection in six European populations. The HapMap CEU was found to be representative for tagSNP selection in all populations while allele frequencies differed significantly in the sample from Kuusamo, Finland. In study III the power of Allele specific expression as a tool for the mapping of cis-regulatory variation was compared to standard eQTL analysis, ASE was found to be the more powerful type of analysis for a similar sample size. Finally ASE mapping was applied to regions reported to harbour long non-coding RNAs and associated SNPs were compared to published trait-associations. This revealed strong cis-regulatory SNPs of long non-coding RNAs with reported trait or disease associations.

Genome wide association studies (GWAS) have identified the H1 microtubule associated protein tau (MAPT) haplotype single nucleotide polymorphisms as leading common risk variants for Parkinson's disease (PD), progressive supranuclear palsy (PSP) and corticobasal degeneration (CBD). Gene expression studies have demonstrated haplotype-specific increases in expression of MAPT exon 3-containing transcripts from the protective H2 allele compared to the H1. The difference in alternative splicing between the haplotypes likely contributes risk or protection in the absence of protein coding variants. Here, we investigate the regulation of MAPT exon 3 alternative splicing by common, risk-associated, non-coding, haplotype-specific single nucleotide polymorphisms (SNPs) through a combination of in silico analysis of the MAPT locus, in vitro gene expression and biochemistry studies. Comparative sequence analysis of whole-locus genomic H1 and H2 MAPT (143 kb) vectors showed they capture over 86% of the MAPT sequence diversity. We generated and expressed haplotype-hybrid H1 and H2 MAPT vectors in a human neuroblastoma cell culture model and demonstrated that a functional SNP rs17651213 near the exon 3 5' splice site regulates exon 3 inclusion in a haplotype-specific manner. Using RNA-electrophoretic mobility shift assays (RNA-EMSA), we showed differential RNA-protein complex formation at the H1 and H2 sequence variants of SNP rs17651213. We further identified candidate trans-acting splicing factors interacting with functional SNP rs17651213 sequences by RNA-protein pull-down experiment and mass spectrometry. Finally, gene knockdown of candidate splice factors identified by mass spectrometry demonstrated a role for hnRNP F and hnRNP Q in the haplotype-specific regulation of exon 3 inclusion. In this study, we have dissected the MAPT locus to identify sequences regulating the allele-specific alternative splicing of exon 3 and provided mechanistic insights into how common non-coding H1/H2 MAPT haplotype-specific SNPs may contribute to the risk/protection of neurodegeneration at a complex genetic locus.

Advances in high-throughput genomic technologies have facilitated the collection of DNA information for thousands of individuals, providing unprecedented opportunities to explore the genetic architecture of complex disease. One important finding has been that the majority of variants in the human genome are low in frequency or rare. It has been hypothesised that recent explosive growth of the human population afforded unexpectedly large amounts of rare variants with potentially deleterious effects, suggesting that rare variants may play a role in disease predisposition. But, importantly, rare variants embody a source of information through which we may learn more about our recent evolutionary history. In this thesis, I developed several statistical and computational methods to address problems associated with the analysis of rare variants and, foremost, to leverage the genealogical information they encode. First, one constraint in genome-wide association studies is that lower-frequency variants are not well captured by genotyping methods, but instead are predicted through imputation from a reference dataset. I developed the meta-imputation method to improve imputation accuracy by integrating genotype data from multiple, independent reference panels, which outperformed imputations from separate references in almost all comparisons (mean correlation with masked genotypes r²&GT;0.9). I further demonstrated in simulated case-control studies that meta-imputation increased the statistical power to identify low-frequency variants of intermediate or high penetrance by 2.2-3.6%. Second, rare variants are likely to have originated recently through mutation and thereby sit on relatively long haplotype regions identical by descent (IBD). I developed a method that exploits rare variants as identifiers for shared haplotype segments around which the breakpoints of recombination are detected using non-probabilistic approaches. In coalescent simulations, I show that such breakpoints can be inferred with high accuracy (r²&GT;0.99) around rare variants at frequencies &LT;0.05%, using either haplotype or genotype data. Third, I show that technical error poses a major problem for the analysis of whole-genome sequencing or genotyping data, particularly for alleles below 0.05% frequency (false positive rate, FPR=0.1). I therefore propose a novel approach to infer IBD segments using a Hidden Markov Model (HMM) which operates on genotype data alone. I incorporated an empirical error model constructed from error rates I estimated in publicly available sequencing and genotyping datasets. The HMM was robust in presence of error in simulated data (r²&GT;0.98) while nonprobabilistic methods failed (r²&LT;0.02). Lastly, the age of an allele (the time since its creation through mutation) may provide clues about demographic processes that resulted in its observed frequency. I present a novel method to estimate (rare) allele age based on the inferred shared haplotype structure of the sample. The method operates in a Bayesian framework to infer pairwise coalescent times from which the age is estimated using a composite posterior approach. I show in simulated data that coalescent time can be inferred with high accuracy (rank correlation &GT;0.91) which resulted in a likewise high accuracy for estimated age (&GT;0.94). When applied to data from the 1000 Genomes Project, I show that estimated age distributions were overall conform with frequency-dependent expectations under neutrality, but where patterns of low frequency and old age may hint at signatures of selection at certain sites. Thus, this method may prove useful in the analysis of large cohorts when linked to biomedical phenotype data.

Magister Scientiae - MSc / OVARIAN cancer research focuses on answering important questions related to the disease, determining whether new approaches are feasible to contribute towards improving current treatments or discovering new ones. This study focused on the transcriptional regulation of genes that have been implicated in ovarian cancer, based on the occurrences of single nucleotide polymorphisms (SNPs) within transcription factor binding sites (TFBSs). Through the application of several in silico tools, databases and custom programs, this research aimed to contribute toward the identification of potentially bio-medically important genes or SNPs for pre-diagnosis and subsequent treatment planning of ovarian cancer. A total of 379 candidate genes that have been experimentally associated with ovarian cancer were analyzed. This led to the identification of 121 SNPs that were found to coincide with putative TFBSs potentially influencing a total of 57 transcription factors that would normally bind to these TFBSs. These SNPs with potential phenotypic effect were then evaluated among several population groups, defined by the International HapMap consortium resulting in the identification of three SNPs present in five or more of the eleven population groups that have been sampled. / South Africa

Made available in DSpace on 2014-12-17T14:16:30Z (GMT). No. of bitstreams: 1 TaissaMMO_DISSERT.pdf: 1807409 bytes, checksum: 3f71ff29b01e86200d456b984c7e8b08 (MD5) Previous issue date: 2012-02-24 / Coordena??o de Aperfei?oamento de Pessoal de N?vel Superior / Human population have a significant number of polymorphic loci, whose use and applications range from construction of linkage maps, to study the evolution of populations, through the determination of paternity, forensic medicine and migration. Currently, STRs (Short Tanden Repeats) markers are considered the major markers for human identification, mainly due to its abundance and high variability because of the fact that they are easily amplifiable by PCR (Polymerase Chain Reaction), work with low amounts of DNA and be capable of automation processes involving fluorescence detection. The creation of regional databases containing allele frequencies of population provide subsidies to increase the reliability of the results of determining the genetic link. This paper aims to obtain a database of allele frequencies of 15 polymorphic molecular loci (D8S1179, D21S11, D7S820, CSF1PO, D19S433, vWA, TPOX, D18S51, D3S1358, TH01, D13S317, D16S539, D2S1338, D5S818 e FGA) in a population classifies as born in the State of Rio Grande do Norte, Brazil, totaling 1100 unrelated individuals. To evaluate the frequency, DNA samples were submitted to PCR amplification, followed by capilarry electrophoresis genetic sequencer. The frequencies identified in this study were compared with brazilian population in general and other states in Brazil. Except for the loci D21S11, D19S433 and D2D1338, the genotypes found were in Hardy-Weinberg equilibrium and no significant differences among the frequencies were found in the populations studied. The most informative loci was D2S1338 and D18S51, and the less informative is the locus TPOX / As popula??es humanas apresentam um consider?vel n?mero de loci polim?rficos, cujo uso e aplica??es v?o desde a constru??o de mapas de liga??o at? estudos de evolu??o das popula??es, passando pela determina??o de paternidade, medicina forense e migra??o. Atualmente, os STRs (Short Tandem Repeats) s?o considerados os marcadores de identifica??o humana por excel?ncia, t?tulo em grande parte devido a sua abund?ncia e elevada variabilidade, devido ao fato de serem facilmente amplific?veis pela Rea??o em Cadeia da Polimerase, PCR (Polymerase Chain Reaction), funcionarem com baixas quantidades de DNA e serem pass?veis de automa??o com processos envolvendo detec??o por fluoresc?ncia. A forma??o de bancos de dados regionais, contendo as frequ?ncias al?licas da popula??o de uma microrregi?o, fornece subs?dios para aumentar a confiabilidade dos resultados de determina??o de v?nculo gen?tico. Neste trabalho, visa-se a obten??o de um banco de dados das frequ?ncias al?licas de 15 loci polim?rficos moleculares (D8S1179, D21S11, D7S820, CSF1PO, D19S433, vWA, TPOX, D18S51, D3S1358, TH01, D13S317, D16S539, D2S1338, D5S818 e FGA), em uma popula??o classificada como nascida no Estado do Rio Grande do Norte, Brasil, totalizando 1100 indiv?duos n?o aparentados. Para avalia??o das frequ?ncias, amostras de DNA foram submetidas ? amplifica??o por PCR, e os gen?tipos foram obtidos atrav?s de eletroforese capilar em sequenciador gen?tico. As frequ?ncias apuradas no presente estudo foram comparadas com as da popula??o brasileira em geral e com as de outros estados do Brasil. Com exce??o dos loci D21S11, D19S433 e D2S1338, os gen?tipos encontrados da popula??o do RN mostram-se em Equil?brio de Hardy-Weinberg, e sem grandes diferen?as significativas entre as frequ?ncias encontradas nas popula??es estudadas. Os loci mais informativos foram D2S1338 e D18S51, enquanto que o locus menos informativo foi o TPOX