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PubMed1998

Measuring spontaneous deleterious mutation process.

Parameters of the deleterious mutation process can be estimated using the data on genotypes, phenotypes, or fitnesses. These data can be on long-term evolution, on short-term changes, or on the properties of equilibrium populations. The two most important parameters at the genomic level, the total deleterious mutation rate U and the mutational pressure on fitness P, remain poorly known. Reliable data on the rates of presumably neutral evolution, together with less certain estimates of the functionally important fraction of the genome, suggest that in mammals U > 1. The magnitudes of inbreeding depression in populations of selfers imply U approximately 1 in flowering plants. The straightforward way to estimate P is to assay the decline of fitness in populations with relaxed selection. The relevant data are contradictory, possibly because the results of the measurement of fitness depend strongly on the environmental conditions.

Animals↗
PubMed1998

Weight-loss induced changes in plasma factor VII coagulant activity and relation to the factor VII Arg/Gln353 polymorphism in moderately obese adults.

Elevated plasma factor VII coagulant activity (factor VIIc) may be an independent risk factor for coronary heart disease. Several cross-sectional studies suggest that a polymorphism of the factor VII gene (Arg-Gln353) interacts with plasma triglyceride level in determining factor VIIc, but prospective data are lacking. Factor VII genotype, factor VIIc, and triglyceride level were measured in moderately obese adults aged 25 to 45 who underwent a six-month clinical trial to evaluate strategies for weight loss. A total of 48 men and 50 women who experienced substantial weight loss (mean: 10 kg) provided samples for genetic analysis. Overall, 78% of participants were homozygous for the Arg353 allele, while the remaining 22% were heterozygous (Arg/Gln353). At the baseline examination, heterozygotes had lower mean factor VIIc than Arg353 homozygotes (92% vs. 112%; p<0.001), and genotype explained 18% of the variance of factor VIIc. Average six-month weight loss was similar in both genotypes; mean reductions in factor VIIc following weight loss were greatest among Arg353 homozygotes with high initial values (> 120%). Cross-sectional and longitudinal associations between plasma factor VIIc and triglyceride level were not dependent on genotype. These data confirm that the Gln353 allele is associated with lower factor VII coagulant activity in moderately obese adults, but they do not support the hypothesis that the Arg-Gln353 polymorphism interacts with plasma triglyceride level in determining factor VIIc.

Adult↗
PubMed2003

Interaction between a peroxisome proliferator-activated receptor gamma gene polymorphism and dietary fat intake in relation to body mass.

The peroxisome proliferator-activated receptor gamma (PPAR gamma) is a critical regulator of adipogenesis. PPAR gamma+/- mice are resistant to high-fat diet-induced obesity and thus PPAR gamma may mediate physiological responses to dietary fat in other mammals. The aim of this study was to determine whether the human PPAR gamma proline to alanine substitution polymorphism (Pro12Ala) modifies the association between dietary fat and adiposity and plasma lipids. Subjects (n=2141) were controls selected for three case-control studies nested within the Nurses' Health Study, a large ongoing prospective cohort study. Associations between intake of total fat, fat subtypes and BMI were different in PPAR gamma 12Ala variant allele-carriers compared with non-carriers. Among homozygous wild-type Pro/Pro individuals, those in the highest quintile of total fat intake, had significantly higher mean body mass index (BMI) compared with those in the lowest quintile (27.3 versus 25.4 kg/m2, respectively; P-trend<0.0001) whereas among 12Ala variant allele-carriers there was no significant trend observed between dietary fat intake and BMI (P-trend=0.99; P-interaction=0.003). In contrast, intake of monounsaturated fat was not associated with BMI among homozygous wild-type women but was inversely associated with BMI among 12Ala variant allele-carriers (mean in lowest quintile=27.6 versus mean in highest quintile=25.5 kg/m2; P-trend=0.006; P-interaction=0.003). The relationship between dietary fat intake and plasma lipid concentrations also differed according to PPAR gamma genotype. These data suggest that PPAR gamma genotype is an important factor in physiological responses to dietary fat in humans.

Alleles↗
PubMed2003

Catechol-O-methyl transferase (COMT) inhibitors in patients with Parkinson's disease: is COMT genotype a useful indicator of clinical efficacy?

In clinical practice, two potent and selective catechol-O-methyl transferase (COMT) inhibitors are available for the control of motor fluctuation in patients with Parkinson's disease. However, because of the complexity of fluctuating motor symptoms, it is difficult to evaluate the clinical efficacy of COMT inhibitors in each individual. Therefore, an objective factor predicting the clinical efficacy of COMT inhibitors is needed. Individual variation in COMT activity is regulated by a single nucleotide of the COMT gene on the long arm of chromosome 22. Therefore, there could be a correlation between COMT genotype and the clinical efficacy of COMT inhibitors. Three double-blind studies evaluating the efficacy of a single or repeated doses of a COMT inhibitor failed to find significant difference in the improvement in the duration of daily 'on' time and degree of motor abilities between patients with different COMT genotypes. Furthermore, there were no significant differences in the severity and frequency of dopaminergic adverse effects between patients with different COMT genotypes. These data suggest that the COMT genotype is not a major factor in deciding the clinical efficacy of COMT inhibitors.

Animals↗
PubMed2003

Chlamydia trachomatis omp1 genotypic diversity and concordance with sexual network data.

Sexual and social network analysis have been proposed as novel sexually transmitted disease control and research tools. Here, the concordance between chlamydia genotype data and a large sexual network constructed from routinely collected contact tracing data was examined. A sexual network was constructed for Manitoba, Canada, from province-wide contact tracing data. Positive chlamydia specimens from the same time period were collected and genotyped by omp1 DNA sequencing. A high degree of concordance was found between transmission events, on the basis of molecular data, and proposed transmission events, on the basis of sexual network data. Discordant results appeared to occur when a portion of the network contained potential core group members or in areas where contact tracing is difficult to carry out. The agreement between the molecular and epidemiologic data suggests that the use of routine contact tracing data is a valid approach for the construction of sexual networks.

Chlamydia Infections↗
PubMed1978

The XYY genotype.

The epidemiological data pertaining to the XYY genotype suggest that there is a three- to fourfold overrepresentation of XYY individuals in mental and penal settings and a twentyfold overrepresentation of mental-penal (special security) settings. The reasons behind the risk for behavioral disability are not known at this time. Tallness and ondulocystic acne are reported frequently to be associated with the genotype. Since much of the available information about the XYY sex chromosome complement is biased, more data is required before definitive statements can be made about the personality characteristics or intelligence of the vast majority of XYY men not appearing in social settings oriented towards behavioral deviancy.

Abnormalities, Multiple↗
PubMed1991

Marker genotyping errors in old data on X-linkage in bipolar illness.

Investigations of linkage markers of the X-chromosome colorblindness region in bipolar manic-depressive illness (BP) have yielded inconsistent results, with linkage accepted in some and rejected in other studies. Although genetic heterogeneity has been proposed as the reason for differences, other possibilities exist, including systematic procedural errors. Statistical evidence for linkage between the markers, Xg and colorblindness, is present in a series of papers on bipolar illness reported in 1972-1975. The linkage implied by this reanalysis is spurious, since the two markers are at opposite ends of the X chromosome. The presumptive reason for this spurious linkage is that it is a result of systematic genotyping errors. The support provided by these data to the X-linkage hypothesis in BP illness is thus diminished. That is, the linkage to illness may depend on systematic errors in marker genotyping. In general, the possible causes of inconsistency between linkage reports may be divided into statistical and systematic causes. Statistical causes would generally consist of chance differences in sampling, such as might occur under genetic heterogeneity. If this occurs, the reports rejecting linkage may be false negatives, or the reports detecting linkage may be false-positive results. Systematic causes of differences among reports could include systematic errors (or variations) in procedures, including ascertainment, diagnosis, genotyping, or analysis. Consistency of the marker map in a particular study with the known marker map is one test for systematic errors in genotyping.

Alleles↗
PubMed2003

Morphology is not a reliable tool for delineating species within Cryptosporidium.

Within the coccidia, morphological features of the oocyst stage at the light microscope level have been used more than any other single characteristic to designate genus and species. The aim of this study was to conduct morphometric analysis on a range of Cryptosporidium spp. isolates and to compare morphological data between several genotypes of C. parvum and a second species C. canis, as well as a variation within a specific genotype (the human genotype), with genetic data at 2 unlinked loci (18S ribonucleic deoxyribonucleic acid and HSP 70) to evaluate the usefulness of morphometric data in delineating species within Cryptosporidium. Results indicate that morphology could not differentiate between oocysts from C. parvum genotypes and oocysts from C. canis, whereas genetic analysis clearly differentiated between the two. The small size of the Cryptosporidium spp. oocyst, combined with the very limited characters for analysis, suggests that more reliance should be placed on genetic differences, combined with biological variation, when delineating species within Cryptosporidium.

Analysis of Variance↗
PubMed2003

Mapping viability loci using molecular markers.

In genetic mapping experiments, some molecular markers often show distorted segregation ratios. We hypothesize that these markers are linked to some viability loci that cause the observed segregation ratios to deviate from Mendelian expectations. Although statistical methods for mapping viability loci have been developed for line-crossing experiments, methods for viability mapping in outbred populations have not been developed yet. In this study, we develop a method for mapping viability loci in outbred populations using a full-sib family as an example. We develop a maximum likelihood (ML) method that uses the observed marker genotypes as data and the proportions of the genotypes of the viability locus as parameters. The ML solutions are obtained via the expectation-maximization algorithm. Application and efficiencies of the method are demonstrated and tested using a set of simulated data. We conclude that mapping viability loci can be accomplished using similar statistical techniques used in quantitative trait locus mapping for quantitative traits.

Algorithms↗
PubMed2000

Importance of protease inhibitor plasma levels in HIV-infected patients treated with genotypic-guided therapy: pharmacological data from the Viradapt Study.

OBJECTIVE: In a prospective randomized study, the impact of plasma protease inhibitor (PI) trough levels on changes in HIV RNA were assessed in patients treated with genotypic-guided therapy. METHODS: Patients failing combination therapy (HIV-1 RNA > 10,000 copies/ml, and at least 6 months of therapy with nucleoside analogues and 3 months with PI) were randomly assigned into two arms: control group (C) in which the treatment was modified according to the standard of care; genotypic group (G) in which the treatment was modified according to resistance mutation profiles. Serial PI plasma levels were performed in patients throughout the 12 month study. PI levels were determined by high performance liquid chromatography. 'Suboptimal' concentration (SOC) was defined as at least two PI plasma levels below 2 x IC95. Others were defined as 'optimal' concentration (OC). Patients were categorized into four groups: G1 (SOC/control); G2 (OC/control); G3 (SOC/genotype); G4 (OC/genotype). An intent-to-treat analysis was performed with viral load as the primary endpoint. RESULTS: A total of 81 patients [mean age 39.7 +/- 8 years, 59 men, 52.7% Centers for Disease Control and Prevention (CDC) stage C] were included in the pharmacological substudy. The two groups according to randomization arms were comparable in terms of risk factor, age, sex, previous treatments, baseline CD4 cell count, HIV-1 RNA and mean PI plasma concentrations. Linear regression analysis showed a significant relationship between PI concentration and HIV RNA in the plasma. OC and SOC were found in 67.9% (55/81) and 32.1% (26/81) of patients, respectively. Mean changes in HIV RNA from baseline at month 6 were: -0.23 +/- 0.29 log10 copies/ml (G1); -0.97 +/- 0.28 (G2); -0.68 +/- 0.37 (G3); -1.38 +/- 0.20 (G4). Multivariate analysis showed PI plasma concentrations to be an independent predictor of HIV-RNA evolution (P = 0.017). CONCLUSION: Multiple parameters determine the response to antiretroviral therapy and causes other than the development of drug resistance should be considered in the setting of therapeutic failure. Suboptimal concentrations of PI limit the response to antiretroviral therapy. Therapeutic drug monitoring of the PI plasma concentration may therefore prove useful in optimizing antiretroviral therapy.

Adult↗
PubMed2000

Genotype-specific synthesis and secretion of spliced hepatitis B virus genomes in hepatoma cells.

Hepatitis B virus-infected patients frequently have viral particles with DNA derived from differently spliced RNA. Which factors influence the synthesis of these splice variants is unclear. We analysed the type of splice variants produced from different genotypes and determined whether they are secreted as efficiently as wild-type virus. We demonstrate production of a single splice variant from genotypes D, C, and E as dominant species in two hepatoma cell lines. The type of minor splice variants synthesised varied between genotypes but was identical in both hepatoma cell lines. A novel splice variant with a deletion in the core gene was identified for genotype D. Viral DNA from intracellular compared with extracellular viral particles was spliced approximately five times more often than wild-type-sized genomes. A variable amount of the major splice variant was also identified in sera from patients infected with genotypes A, D, and C. These data indicate genotype A-, C-, D-, and E- as well as hepatoma cell line-independent synthesis of a dominant single splice variant and argue for a biological function of the corresponding splice sites. This study clearly demonstrates the intracellular accumulation of viral particles containing spliced genomes and offers a tool for the investigation of underlying mechanisms.

Alternative Splicing↗
PubMed2005

Tuberculosis transmission in nontraditional settings: a decision-tree approach.

BACKGROUND: Tuberculosis (TB) transmission in nontraditional settings and relationships (non-TSR) often eludes detection by conventional contact investigation and is increasingly common. The U.S.-based National Tuberculosis Genotyping and Surveillance Network collected epidemiologic data and genotyping results of Mycobacterium tuberculosis isolates from 1996 to 2000. METHODS: In 2003-2004, we determined the number and characteristics of TB patients in non-TSR that were involved in recent transmission, generated a decision tree to profile those patients, and performed a case-control study to identify predictors of being in non-TSR. RESULTS: Of 10,844 culture-positive reported TB cases that were genotyped, 4724 (43.6%) M. tuberculosis isolates were clustered with at least one other isolate. Among these, 520 (11%) had epidemiologic linkages discovered during conventional contact investigation or cluster investigation and confirmed by genotyping results. The decision tree identified race/ethnicity (non-Hispanic white or black) as having the greatest predictive ability to determine patients in non-TSR, followed by being aged 15 to 24 years and having positive or unknown HIV infection status. From the 520, 85 (16.4%) had non-TSR, and 435 (83.6%) had traditional settings and relationships (TSR). In multivariate analyses, patients in non-TSR were significantly more likely than those in TSR to be non-Hispanic white (adjusted odds ratio [aOR]=6.1; 95% confidence interval [CI]=1.7-21.1]) or to have an M. tuberculosis isolate resistant to rifampin (aOR=5.2; 95% CI=1.5-17.7). CONCLUSIONS: Decision-tree analyses can be used to enhance both the efficiency and effectiveness of TB prevention and control activities in identifying patients in non-TSR.

Adolescent↗
PubMed2000

Gordonia amicalis sp. nov., a novel dibenzothiophene-desulphurizing actinomycete.

The taxonomic position of a dibenzothiophene-desulphurizing soil actinomycete was established using a polyphasic taxonomic approach. The organism, strain IEGMT, was shown to have chemical and morphological properties typical of members of the genus Gordonia. The tested strain formed a distinct phyletic line within the evolutionary radiation occupied by the genus Gordonia, with Gordonia alkanivorans DSM 44369T, Gordonia desulfuricans NCIMB 40816T and Gordonia rubropertincta DSM 43197T as the most closely related organisms. Strain IEGMT has a range of phenotypic properties that distinguish it from representatives of all of the validly described species of Gordonia. It was also sharply distinguished from the type strains of Gordonia desulfuricans and Gordonia rubropertincta on the basis of DNA-DNA relatedness data. The combined genotypic and phenotypic data show that strain IEGMT merits recognition as a new species of Gordonia. The name proposed for the new species is Gordonia amicalis; the type strain is IEGMT (= DSM 44461T = KCTC 9899T).

Actinomycetales↗
PubMedDate not supplied

Genetic divergence of Asiatic Bdellocephala (Turbellaria, Tricladida, Paludicola) as revealed by partial 18S rRNA gene sequence comparisons.

Polymerase chain reaction (PCR) and direct sequencing of small ribosomal RNA genes were used for analysis of genetic differences among Asiatic species of freshwater triclad genus Bdellocephala. Representatives of four species and four subspecies of this genus were used to establish homology between nucleotides in the 5'-end portion of small ribosomal RNA gene sequences. Within 552 nucleotide sites of aligned sequences compared, six variable base positions were discovered, dividing Bdellocephala into five different genotypes. Sequence data allow to distinguish two groups of these genotypes. One of them unites species from Kamchatka and Japan, another one unites Baikalian taxa. Agreement between available morphological, cytological and sequence data is discussed.

Animals↗
PubMed2006

LRTae: improving statistical power for genetic association with case/control data when phenotype and/or genotype misclassification errors are present.

BACKGROUND: In the field of statistical genetics, phenotype and genotype misclassification errors can substantially reduce power to detect association with genetic case/control studies. Misclassification also can bias population frequency parameters such as genotype, haplotype, or multi-locus genotype frequencies. These problems are of particular concern in case/control designs because, short of repeated sampling, there is no way to detect misclassification errors. We developed a double-sampling procedure for case/control genetic association using a likelihood ratio test framework. Different approaches have been proposed to deal with misclassification errors. We have chosen the likelihood framework because of the ease with which misclassification probabilities may be incorporated into in the statistical framework and hypothesis testing. The statistic is called the Likelihood Ratio Test allowing for errors (LRTae) and is freely available via software download. RESULTS: We applied our procedure to 10,000 replicates of simulated case/control data in which we introduced phenotype misclassification errors. The phenotype considered is Ankylosing Spondylitis (AS). The LRTae method power was always greater than LRTstd power for the significance levels considered (5%, 1%, 0.1%, 0.01%). Power gains for the LRTae method over the LRTstd method increased as the significance level became more stringent. Multi-locus genotype frequency estimates using LRTae method were more accurate than estimates using LRTstd method. CONCLUSION: The LRTae method can be applied to single-locus genotypes, multi-locus genotypes, or multi-locus haplotypes in a case/control framework and can be more powerful to detect association in case/control studies when both genotype and/or phenotype errors are present. Furthermore, the LRTae method provides asymptotically unbiased estimates of case and control genotype frequencies, as well as estimates of phenotype and/or genotype misclassification rates.

Case-Control Studies↗
PubMed1996

Classifying individuals among infra-specific taxa using microsatellite data and neural networks.

The method of neural networks was tested for its ability to assign individuals on the basis of their multilocus genotypes, using a data collection of 430 honeybees and 8 microsatellite loci. This data set includes various taxonomical levels (populations within the same subspecies, various subspecies belonging to the same evolutionary lineage, and the 3 lineages of the species). Qualitative genotypic data have been submitted to 2 types of transformation (simple coding and coding plus factorial correspondence analysis), and they have been partitioned in 2 sets, a training set of 300 individuals and a testing set of 103 individuals. Two procedures ("leave one out" and "hold out") were applied to evaluate the quality of prediction. Compared to discriminant analysis, neural networks performed better in terms of correctly classified individuals at any taxonomical level. For instance, with the simple coding and the hold out procedure, the proportions of correctly assigned individuals from the testing set were 66.2%, 82.3% and 100% at the populations, subspecies and lineage level, respectively. The potential use of neural networks in populations genetics is discussed.

Animals↗
PubMed2005

Genetic linkage and association analysis for loneliness in Dutch twin and sibling pairs points to a region on chromosome 12q23-24.

We obtained evidence from a large study in Dutch twins (N=8,387) and siblings (N=2,295) that variation in loneliness has a genetic component. The heritability estimate for loneliness, which was assessed as an ordinal trait, was 40% and did not differ between males and females. There were 682 sibling pairs with genotypic (around 400 microsatellite markers) data. We combined phenotypic and genotypic data to carry out a genome scan to localize QTLs for loneliness. One region on chromosome 12q23.3-24.3, showed near suggestive linkage. Genetic association tests within this region revealed significant association (p-value 0.009) with one of the alleles of marker D12S79 and with one of the alleles of neighbouring marker D12S395 (p-value 0.043). We review evidence for linkage in this region for psychiatric disorders and discuss our findings within this context.

Chromosome Mapping↗
PubMed1990

Genetic counseling in rare syndromes: a resampling method for determining an approximate confidence interval for gene location with linkage data from a single pedigree.

Multipoint linkage analysis is a powerful method for mapping a rare disease gene on the human gene map despite limited genotype and pedigree data. However, there is no standard procedure for determining a confidence interval for gene location by using multipoint linkage analysis. A genetic counselor needs to know the confidence interval for gene location in order to determine the uncertainty of risk estimates provided to a consultant on the basis of DNA studies. We describe a resampling, or "bootstrap," method for deriving an approximate confidence interval for gene location on the basis of data from a single pedigree. This method was used to define an approximate confidence interval for the location of a gene causing nonsyndromal X-linked mental retardation in a single pedigree. The approach seemed robust in that similar confidence intervals were derived by using different resampling protocols. Quantitative bounds for the confidence interval were dependent on the genetic map chosen. Once an approximate confidence interval for gene location was determined for this pedigree, it was possible to use multipoint risk analysis to estimate risk intervals for women of unknown carrier status. Despite the limited genotype data, the combination of the resampling method and multipoint risk analysis had a dramatic impact on the genetic advice available to consultants.

Chromosome Mapping↗