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Genotyping of drug targets: a method to predict adverse drug reactions?

In the last decades, advances in molecular biology have led to modern pharmacogenetics, which started as a science that focused on investigating drug metabolising enzymes and genetic determinants of pharmacokinetic variability. As more evidence has become available on the structure of drug targets and the genes coding for them, increasing attention has been directed towards pharmacodynamic explanations of variability in therapeutic response as well as in the risk for adverse drug reactions. Traditionally, genetic drug safety research has focused on variations in single genes whose functions are known to be related to given adverse drug reactions. A few such examples, malignant hyperthermia, the long QT syndrome, venous thromboembolic disease, tardive dyskinesia, and drug addiction, are presented in this article. In the future, results from the Human Genome Project together with tools such as DNA microarray technology, high-output screening systems and advanced bioinformatics, will permit a more thorough elucidation than is currently possible of the genetic components of adverse drug reactions. By screening for a large number of single nucleotide polymorphisms (SNPs), SNP patterns associated with adverse drug reactions can be discovered even though the functions of the SNPs as such are completely unknown. On the basis of these findings, it can be expected that pharmacogenetic research will identify situations where a drug should be avoided in certain individuals in order to reduce the risk for adverse drug reactions. If so, it will be feasible to use molecular diagnostics to select drugs that are safe for the individual patient.

Drug-Related Side Effects and Adverse Reactions↗

N-Acetyltransferase (NAT) 2 acetylator status and age of tumour onset in patients with sporadic and familial, microsatellite stable (MSS) colorectal cancer.

INTRODUCTION: N-Acetyltransferase (NAT) 2 is an important enzyme involved in the metabolism of different xenobiotics, including potential carcinogens. Allelic variants of the NAT2 gene are determined by a pattern of single nucleotide polymorphisms (SNPs) resulting in slow (SA), intermediate (IA) or rapid acetylator (RA) phenotypes and causing the individual differences in the NAT2 metabolic capacity. To clarify the potential modifying role of the NAT2 acetylator status in microsatellite stable (MSS) colorectal cancer (CRC), we studied 140 patients with sporadic CRC (group 1) and 69 patients with CRC who met at least one criterion of the revised Bethesda guidelines (group 2). OBSERVATIONS: We did not observe any significant difference in the NAT2 acetylator status frequency between patients in both groups and 100 healthy controls (P=0.486). Regardless of a younger median age of tumour onset (AO) of 41 years in group 2 patients compared to 64 years in group 1 patients, no significant difference in AO was found between RA and SA status patients in both groups. The median AO in group 1 was 65 years in patients with RA and 63 years with SA status (P=0.065). The median AO in group 2 was 40 years in patients with RA and 42 years with SA status (P=0.814). Multivariate Cox regression analysis revealed that neither the NAT2 acetylator status (P=0.064 and 0.810, respectively) nor the gender (P=0.165 and 0.918, respectively) was a risk factor for the AO in both groups. These data do not support the hypothesis that the NAT2 acetylatorship acts as a modifying factor on the AO in sporadic and familial, microsatellite stable CRC.

Acetylation↗

SNP and haplotype variation in the human genome.

We have surveyed and summarized several aspects of DNA variability among humans. The variation described is the result of mutation followed by a combination of drift, migration and selection bringing the frequencies high enough to be observed. This paper describes what we have learned about how DNA variability differs among genes and populations. We sequenced functional regions of a set of 3950 genes. DNA was sampled from 82 unrelated humans: 20 African-Americans, 20 East Asians, 21 Caucasians, 18 Hispanic-Latinos and 3 Native Americans. Different aspects of variability showed a great deal of concordance. In particular, we studied patterns of single nucleotide polymorphism (SNP) allele and haplotype sharing among the four, large sample populations. We also examined how linkage disequilibrium (LD) between SNPs relates to physical distance in the different populations. It is clear from our findings that while many variants are common to all populations, many others have a more restricted distribution. Research that attempts to find genetic variants that explain phenotypic variants must be careful in their choice of study population.

Alleles↗

Cis-regulatory variations: a study of SNPs around genes showing cis-linkage in segregating mouse populations.

BACKGROUND: Changes in gene expression are known to be responsible for phenotypic variation and susceptibility to diseases. Identification and annotation of the genomic sequence variants that cause gene expression changes is therefore likely to lead to a better understanding of the cause of disease at the molecular level. In this study we investigate the pattern of single nucleotide polymorphisms (SNPs) in genes for which the mRNA levels show cis-genetic linkage (gene expression quantitative trait loci mapping in cis, or cis-eQTLs) in segregating mouse populations. Such genes are expected to have polymorphisms near their physical location (cis-variations) that affect their mRNA levels by altering one or more of the cis-regulatory elements. This led us to characterize the SNPs in promoter (5 Kb upstream) and non-coding gene regions (introns and 5 Kb downstream) (cis-SNPs) and the effects they may have on putative transcription factor binding sites. RESULTS: We demonstrate that the cis-eQTL genes (CEGs) have a significantly higher frequency of cis-SNPs compared to non-CEGs (when both sets are taken from the non-IBD regions, i.e. regions not identical by descent). Most CEGs having cis-SNPs do not contain these SNPs in the phylogenetically conserved regions. In those CEGs that contain cis-SNPs in the phylogenetically conserved regions, enrichment of cis-SNPs occurs both within and outside of the conserved sequences. A higher fraction of CEGs are also seen to harbor cis-SNP that affect predicted transcription factor binding sites, a likely consequence of the higher cis-SNPs density in these genes. CONCLUSION: This present study provides the first genome-wide investigation of the putative cis-regulatory variations in a large set of genes whose levels of expression give rise to cis-linkage in segregating mammalian populations. Our results provide insights into the challenges that exist in identifying polymorphisms regulating gene expression using bioinformatic sequence analysis approaches. The data provided herein should benefit future investigations in this area.

Adipose Tissue↗

Relationships between genomic dissipation and de novo SNP evolution.

Patterns of single nucleotide polymorphisms (SNPs) in eukaryotic DNA are traditionally attributed to selective pressure, drift, identity descent, or related factors-without accounting for ways in which bias during de novo SNP formation, itself, might contribute. A functional and phenotypic analysis based on evolutionary resilience of DNA points to decreased numbers of non-synonymous SNPs in human and other genomes, with a predominant component of SNP depletion in the human gene pool caused by robust preferences during de novo SNP formation (rather than selective constraint). Ramifications of these findings are broad, belie a number of concepts regarding human evolution, and point to a novel interpretation of evolving DNA across diverse species.

Polymorphism, Single Nucleotide↗

Human brain derived neurotrophic factor (BDNF) genes, splicing patterns, and assessments of associations with substance abuse and Parkinson's Disease.

Potential roles for variants in the human BDNF gene in human brain disorders are supported by findings that include: (a) influences that this trophic factor can exert on important neurons, brain regions, and neurotransmitter systems, (b) changes in BDNF expression that follow altered neuronal activity and drug treatments, and (c) linkages or associations between genetic markers in or near BDNF and human traits and disorders that include depression, schizophrenia, addictions, and Parkinson's disease. We now report assembly of more than 70 kb of BDNF genomic sequence, delineation of 7 noncoding and 1 coding human BDNF exons, elucidation of BDNF transcripts that are initiated at several alternative promoters, identification of BDNF mRNA splicing patterns, elucidation of novel sequences that could contribute to activity-dependent BDNF mRNA transcription, targeting and/or translation, elucidation of tissue-specific and brain-region-specific use of the alternative human BDNF promoters and splicing patterns, identification of single nucleotide polymorphism (SNP), and simple sequence length polymorphism (SSLP) BDNF genomic variants and identification of patterns of restricted haplotype diversity at the BDNF locus. We also identified type 2 BDNF-locus transcripts that are coded by a novel gene that is overlapped with type 1 BDNF gene and transcribed in reverse orientation with several alternative splicing isoforms. Association studies of BDNF variants reveal no associations with Parkinson's disease. Comparisons between substance abusers and controls reveal modest associations. These findings increase interest in this diverse human gene.

Alternative Splicing↗

Investigations into the molecular effects of single nucleotide polymorphism.

OBJECTIVES: DNA sequences are very rich in short repeats and their pattern can be altered by point mutations. We wanted to investigate the effect of single nucleotide polymorphism (SNP) on the pattern of short DNA repeats and its biological consequences. METHODS: Analysis of the pattern of short DNA repeats of the Thy-1 sequence with and without SNP. Searching for DNA-binding factors in any region of significance. RESULTS: Comparing the pattern of short repeats in the Thy-1 gene sequences of Turkish patients with ataxia telangiectasia (AT) with the "wild type" sequence from the DNA database, we identified a missing 8-bp repeat element due to an SNP in position 1271 (intron II) in AT-DNA sequences. Only the mutated sequence had the potential for the formation of a stem loop in DNA or pre-mRNA. In super-shift experiments we found that DNA oligomers covering the area of this SNP formed a complex with proteins amongst which we identified the proliferating cell nuclear antigen (PCNA) protein. CONCLUSION: SNPs have the potential to alter DNA or pre-mRNA conformation. Although no SNP-depeding formation of the DNA-protein complex was evident, future investigations could reveal differential molecular mechanisms of cellular regulation.

Ataxia Telangiectasia↗

Molecular modelling of disease-causing single-nucleotide polymorphisms in collagen.

The purpose of the work was to investigate at the molecular structural and energy levels the consequence of amino acid substitutions in collagen that cause systemic diseases. The data have been systematized on defects in human collagen III, and the patterns of single-nucleotide polymorphisms collected. Then molecular mechanics calculations were performed for native and mutant collagen molecule fragments. The observed energy components and structural alterations that accompany particular amino acid substitutions were used to propose an interpretation of negative consequences in terms of stability and hydration of the macromolecule.

Amino Acid Substitution↗

Patterns of co-occurrence of three single nucleotide polymorphisms of the 5,10-methylenetetrahydrofolate reductase gene in kidney transplant recipients.

BACKGROUND: Recently, a new mutation of the 5,10-methylenetetrahydrofolate reductase (MTHFR) encoding gene was first described (1793G > A). Only few reports have studied the prevalence of this polymorphism, especially in combination with other MTHFR mutations (677C > T, 1298A > C). METHODS: We cross-sectionally identified the novel MTHFR 1793G > A polymorphism in 730 kidney transplant recipients. MTHFR 677C > T and 1298A > C were also assessed and the frequency of each was described individually as well as in cross-tabulation with the other MTHFR genotypes. The expected number of patients for each MTHFR genotype combination was calculated and contrasted with the observed numbers. Fisher's exact test was used for statistical inference. RESULTS: The allelic frequency of MTHFR 1793G > A was 0.052. Seventy-two patients (9.9%) were heterozygous and two patients (0.3%) were homozygous. From the cross-tabulations, we identified 53 patients (expected: 33.6) with the MTHFR 1298AC/1793GA genotype and 17 patients (expected: 6.7) with the MTHFR 1298CC/1793GA genotype. Furthermore, we found two patients with double homozygosity for MTHFR 1793G > A and MTHFR 1298A > C (MTHFR 1793AA/1298CC genotype). The frequencies of these genotype combinations were substantially larger than could be expected (P < 0.001). CONCLUSIONS: These findings suggest a selection or survival advantage for individuals with combined MTHFR 1793G > A and MTHFR 1298A > C genotypes, possibly owing to a mutually stabilizing effect on MTHFR enzyme activity.

5,10-Methylenetetrahydrofolate Reductase (FADH2)↗

Nucleotide polymorphisms associated with Internal Transcribed Spacer (ITS) regions of ocular isolates of Aspergillus flavus.

PURPOSE: To analyse the genetic similarity among ocular isolates of Aspergillus flavus by Polymerase chain reaction based Restriction Fragment Length Polymorphism (PCR-RFLP) and DNA sequencing. MATERIALS AND METHODS: Seven ocular isolates of A. flavus from 5 patients (3 from paient 1, and four isolates from patients no. 2, 3, 4, and 5 respectively) consisting of 2 Aqueous Humor (AH), 2 Vitreous fluid (VF), 1 eviscerated material, 1 corneal button were included in the study. The three specimens from 1 were one each of AH, VF and corneal button. The fungal isolates were amplified using primers targeting ITS region and the amplicons were subjected to PCR-RFLP using Hae-III enzyme and DNA sequencing to analyse the genetic similarity. RESULTS: A. flavus isolates yielded a specific product of 595 bp after amplification. All the seven A. flavus isolates showed similar pattern of digestion with Hae-III . However, DNA sequencing of ITS amplicons revealed 97.7% genetic similarity and 2.3% dissimilarity with nucleotide polymorphisms -- single, double and multiple pertaining to inversion, substitution, insertion and deletion in comparison with that of standard strain of A. flavus ATCC 16883 [Accession Number ]. A. flavus isolated from AH, VF and corneal button from the same patient showed similar nucleotide polymorphisms as against other isolates which exhibited distinct polymorphisms. This pattern of nucleotide polymorphisms in A. flavus isolates is novel and first time reported in literature to the best of our knowledge. CONCLUSION: DNA sequencing proves to be a useful molecular tool in screening for nucleotide polymorphisms among fungal isolates.

Aqueous Humor↗

Integrating patterns of polymorphism at SNPs and STRs.

Single nucleotide polymorphisms (SNPs) and short tandem repeats (STRs) differ in mutation rate and mechanism. As a result of these differences, simultaneous consideration of polymorphism patterns at SNPs and STRs can provide insights that are difficult to obtain from analysis of either marker type in isolation. Here, we use coalescent simulations to model the opposing effects of contrasting mutational dynamics and of shared genealogical history on the correlation between polymorphism at linked SNPs and STRs. Results show that polymorphism patterns are correlated only weakly despite the shared underlying genealogy, underscoring the importance of divergent mutational processes. Examples illustrate how knowledge of these relationships could aid population genetic inference, indicating the need for thorough theoretical studies.

Animals↗

Analysis of core housekeeping and virulence genes reveals cryptic lineages of Clostridium perfringens that are associated with distinct disease presentations.

Clostridium perfringens is an important human and animal pathogen that causes a number of diseases that vary in their etiology and severity. Differences between strains regarding toxin gene composition and toxin production partly explain why some strains cause radically different diseases than others. However, they do not provide a complete explanation. The purpose of this study was to determine if there is a phylogenetic component that explains the variance in C. perfringens strain virulence by assessing patterns of genetic polymorphism in genes (colA gyrA, plc, pfoS, and rplL) that form part of the core genome in 248 type A strains. We found that purifying selection plays a central role in shaping the patterns of nucleotide substitution and polymorphism in both housekeeping and virulence genes. In contrast, recombination was found to be a significant factor only for the virulence genes plc and colA and the housekeeping gene gyrA. Finally, we found that the strains grouped into five distinct evolutionary lineages that show evidence of host adaptation and the early stages of speciation. The discovery of these previously unknown lineages and their association with distinct disease presentations carries important implications for human and veterinary clostridial disease epidemiology and provides important insights into the pathways through which virulence has evolved in C. perfringens.

Animals↗

Single-nucleotide polymorphisms in the interleukin-10 gene: differences in frequencies, linkage disequilibrium patterns, and haplotypes in three United States ethnic groups.

Interleukin-10 (IL-10) is a cytokine that seems to function as a downregulator of the innate (nonadaptive) immune system. Approximately three-quarters of interindividual variability in human IL-10 levels has been attributed to genetic variation, and there is evidence suggesting a potential role for IL-10 in a range of human diseases. To provide a basis for haplotype analysis and future disease association studies, we characterized genetic variation in IL10 by sequencing all exons, and 2.5 kb of the 5'- and the 3'-flanking region in a panel of DNA samples from 24 African Americans, 23 European Americans, and 24 Hispanic Americans. The region sequenced was found to contain 28 single-nucleotide polymorphisms (SNPs), 16 with frequency >2% and 14 with frequency >5%. All SNPs with frequency >5% were present in subjects from all three populations. No SNP caused amino acid changes. Differences in pairwise linkage-disequilibrium (LD) patterns and in SNP and haplotype frequency distributions among the three populations may be of potential importance for disease association studies.

Bayes Theorem↗

Molecular evolution of the Est-6 gene in Drosophila melanogaster: contrasting patterns of DNA variability in adjacent functional regions.

We have investigated nucleotide polymorphism at the esterase 6 gene (Est-6) gene, including the complete coding region (1686 bp), as well as the 5'-flanking (1183 bp) and 3'-flanking (193 bp) regions of the gene, in 30 strains of Drosophila melanogaster and in one strain of Drosophila simulans. The level of silent variation is similar in the coding and in the 3'-flanking region, but smaller in the 5'-flanking region. Strong linkage disequilibrium occurs within each region; and also, although less pronounced, between the 5'-flanking region and the rest of the gene, including the 3'-flanking region. We suggest that the pattern of nucleotide polymorphism of Est-6 may be shaped by: (1) directional and balancing selection acting on the promoter and the coding region; and (2) interactions between the two regions that involve variable degrees of hitchhiking. The patterns of linkage disequilibrium, as well as the statistics Z(nS) (Genetics 146 (1997)1197) and B and Q (Genet. Res. 74 (1999) 65), may be interpreted as there being multiple targets of selection within the gene. The previously reported Est-6 allozyme latitudinal clines may be accounted for by the interaction between selective processes in the promoter and coding regions.

Animals↗

Predicting quantitative trait levels by modeling SNP interaction.

Predicting phenotype from genotype is difficult when the phenotype is affected by a gene with numerous weakly penetrant alleles that differ only in the pattern of their single nucleotide polymorphisms (SNPs). While it is probable that SNP interactions affect phenotype, to our knowledge no one has determined the most effective way of evaluating whether SNPs interact and of modeling the interaction. Therefore, to explore this issue, we investigate here three methods of modeling SNP interaction using data from Genetic Analysis Workshop 12. Since major gene 5 (MG5) has sequence information and explains 37% of the variation in quantitative trait 5 (Q5), we focus on using SNPs within MG5 to predict Q5 among individuals who married into the pedigree. As a preliminary screening step, we reduced the number of SNPs from 269 to 34 based on their association with Q5. In our first models we assumed that SNPs affected Q5 in a simple additive manner. These models explained 34% and 15% of the variation in Q5 in women and men, respectively. Our second model was a linear model, which used individual SNPs and simple interaction terms as predictors. These models explained 36% and 16% of the variation in Q5 levels for women and men, respectively. Our last model was a "hit"-based model which was motivated by the hypothesis that disequilibrium between SNPs may reflect the fact that SNPs affect phenotype by acting in concert with other SNPs within their "disequilibrium set." Thus, the number of hits within the disequilibrium sets were used as predictors. These models explained 35% and 19% of the variation in Q5 for women and men, respectively. Our results suggest that phenotype can be predicted from complex patterns of weakly penetrant SNPs using relatively simple models. We concluded that SNP interaction either was not included in the simulation model, or had only a weak impact on Q5 levels.

Female↗

Pattern-recognition techniques with haplotype analysis in pharmacogenomics.

Single nucleotide polymorphisms (SNPs) can be used in clinical association studies to determine the contribution of genes to drug efficacy. However, it would be extremely inefficient to test all the 10 million common SNPs for an association study. Here we review haplotype analysis and pattern-recognition techniques to systematically select candidate SNPs for candidate-gene association studies in pharmacogenomics. First, we survey linkage disequilibrium methods to identify tag SNPs and explore the use of haplotypes as genetic markers that are correlated and associated with drug efficacy. Secondly, we investigate pattern-recognition algorithms and statistical analyses to assess drug efficacy based on SNPs and other factors. Finally, we study pattern-recognition approaches to evaluate the epistasis among genes and SNPs. These techniques may provide tools for clinical association studies and help find genes/SNPs involved in responses to therapeutic drugs or adverse drug reactions.

Animals↗

Definition and variation of human endogenous retrovirus H.

We defined the abundant human endogenous retrovirus group HERV-H based on pol similarity. Among 3661 pol-containing elements, 1124 integrations were similar to HERV-H RGH2 pol using translated pol sequences. A clustering procedure lessened these to 234 representatives, amenable to detailed study. Among the 1124, 926 clustered into HERV-H and 106 into adjacent HERV-H-like, the remainder being more distant to HERV-H. The HERV-H group was divided into RTVLH2-like (705 elements) and RGH2-like (77 elements) subgroups. Among 926 HERV-H, LTR differences were 1-33%, 10% had env, 78% had gag, 66% had a histidine primer binding site (PBS), and 3% (both subgroups) had a phenylalanine PBS. Allelic differences in env were studied using a convenient temperature gradient gel electrophoresis (TGGE) method and a genomic single nucleotide polymorphism (SNP) search. A pattern of abundant defective elements and less abundant less defective ones led us to formulate a "midwife" master model where more complete elements help the others in trans to transpose.

Amino Acid Sequence↗