603 research outputs found
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Estimating and managing the changing methodological parameters of self-report surveys of addictive behavior - based on the waves of the National Survey on Addiction Problems in Hungary
The standard nature of the procedures and tools of sampling and data collection cannot guarantee the stability of data reliability and validity because non-sampling errors are highly sensitive to social conditions. The present study provides a post-hoc attempt to estimate and manage the changing methodological parameters of self-report surveys of addictive behaviours (being highly subjected to changes in social conditions) to make data interpretation easier. The analysis is based on the data of two national Hungarian representative surveys assessing addiction problems in 2007 and 2015 (National Survey on Addiction Problems in Hungary [NSAPH]). Both surveys were conducted using a Hungarian nationwide representative sample aged 18-64 years applying similar procedures in data collection and-processing. Regarding data concerning substance use, both surveys included variables to estimate non-sampling errors in line with current international practices. The methodological parameters of NSAPH2015 showed an increase in non-sampling errors regarding substance use behaviour compared to NSAPH2007. The present paper elaborates an estimation procedure based on the assumption that when following a population, the proportion of people who have ever engaged in a specific type of addictive behaviour cannot be reduced in the given population over time. This also applies to cohorts followed by cross-sectional surveys among national representative samples, as far as lifetime prevalence and data on the age of first use/activity is available. To identify valid trends in different behaviours in epidemiological research assessing addictive behaviours or other sensitive data, researchers should provide the required conditions for controlling or correcting data by cohort analysis
Ancestry deconvolution and partial polygenic score can improve susceptibility predictions in recently admixed individuals
Polygenic Scores (PSs) describe the genetic component of an individual’s quantitative phenotype or their susceptibility to diseases with a genetic basis. Currently, PSs rely on population-dependent contributions of many associated alleles, with limited applicability to understudied populations and recently admixed individuals. Here we introduce a combination of local ancestry deconvolution and partial PS computation to account for the population-specific nature of the association signals in individuals with admixed ancestry. We demonstrate partial PS to be a proxy for the total PS and that a portion of the genome is enough to improve susceptibility predictions for the traits we test. By combining partial PSs from different populations, we are able to improve trait predictability in admixed individuals with some European ancestry. These results may extend the applicability of PSs to subjects with a complex history of admixture, where current methods cannot be applied
Genome-wide analysis of nuclear magnetic resonance metabolites revealed parent-of-origin effect on triglycerides in medium very low-density lipoprotein in PTPRD gene
The aim of the study was to explore the parent-of-origin effects (POEs) on a range of human nuclear magnetic resonance metabolites. Materials & methods: We search for POEs in 14,815 unrelated individuals from Estonian and Finnish cohorts using POE method for the genotype data imputed with 1000 G reference panel and 82 nuclear magnetic resonance metabolites. Results: Meta-analysis revealed the evidence of POE for the variant rs1412727 in PTPRD gene for the metabolite: triglycerides in medium very low-density lipoprotein. No POEs were detected for genetic variants that were previously known to have main effect on circulating metabolites. Conclusion: We demonstrated possibility to detect POEs for human metabolites, but the POEs are weak, and therefore it is hard to detect those using currently available sample sizes.Peer reviewe
The Benthic Chamber experiment in Storfjorden (Norway) 2005 - effects of CO2 on microbes, nanobenthos and meiofauna
Årsliste 2007Carbon capture and storage (CCS) either sub-seabed or in the ocean is considered among the options for reducing future emissions of CO2 to the atmosphere. Such storage does, however, introduce the possibility of CO2 leakage and interaction with marine fauna. It is therefore important to obtain knowledge on possible effects of CO2 that is introduced to the sea floor. Results from experiments on environmental effects of enhanced concentrations of CO2 at the sediment/water interface are presented. The key part of the project was the Japanese Benthic Chamber system (BC) developed to perform experiments with CO2 in sedimentary environments in situ. The BC is equipped with chambers which enclose sections of the sea floor. Two similar experiments were carried out at 400 m depth in Storfjorden, Norway in September, 2005. The pCO2 exposures in the water above the sediment in the chambers were programmed to maintain levels of approximately 5,000 µatm (pH=7.0) and 20,000 µatm (pH=6.3) respectively in two experimental chambers. The pCO2 in the third control chamber was 500 µatm (pH=7.8). This report gives a description of the experiment and the results from measured physical and chemical parameters (pH, NO3, NH4, SiO2 and oxygen) in the water overlying the sediment in the experimental chambers and biological responses (meiobenthos, nanobenthos, bacteria, Archaea, bacterial DNA and ATP, methane production, sulphate reduction) in the chamber sediments. The results from the different research groups and methods clearly show effects of elevated CO2 concentrations on biological processes such as reduced bacterial density and increased nanobenthos densities. Methane formation and sulphate reduction was favoured by the condition in the 5,000 µatm chamberRIT
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Co-occurrences of substance use and other potentially addictive behaviors: epidemiological results from the Psychological and Genetic Factors of the Addictive Behaviors (PGA) Study
Background and aims: Changes in the nomenclature of addictions suggest a significant shift in the conceptualization of addictions, where non-substance related behaviors can also be classified as addictions. A large amount of data provides empirical evidence that there are overlaps of different types of addictive behaviors in etiology, phenomenology, and in the underlying psychological and biological mechanisms. Our aim was to investigate the co-occurrences of a wide range of substance use and behavioral addictions.
Methods: The present epidemiological analysis was carried out as part of the Psychological and Genetic Factors of the Addictive Behaviors (PGA) Study, where data were collected from 3,003 adolescents and young adults (42.6% males; mean age 21 years). Addictions to psychoactive substances and behaviors were rigorously assessed.
Results: Data is provided on lifetime occurrences of the assessed substance uses, their co-occurrences, the prevalence estimates of specific behavioral addictions , and co-occurrences of different substance use and potentially addictive behaviors. Associations were found between (i) smoking and problematic Internet use, exercising, eating disorders, and gambling (ii) alcohol consumption and problematic Internet use, problematic online gaming, gambling, and eating disorders, and (iii) cannabis use and problematic online gaming and gambling.
Conclusions: The results suggest a large overlap between the occurrence of these addictions and behaviors and underlies the importance of investigating the possible common psychological, genetic and neural pathways. These data further support concepts such as the Reward Deficiency Syndrome and the component model of addictions that propose a common phenomenological and etiological background of different addictive and related behaviors
MARV: a tool for genome-wide multi-phenotype analysis of rare variants
Background: Genome-wide association studies have enabled identification of thousands of loci for hundreds of traits. Yet, for most human traits a substantial part of the estimated heritability is unexplained. This and recent advances in technology to produce high-dimensional data cost-effectively have led to method development beyond standard common variant analysis, including single-phenotype rare variant and multi-phenotype common variant analysis, with the latter increasing power for locus discovery and providing suggestions of pleiotropic effects. However, there are currently no optimal methods and tools for the combined analysis of rare variants and multiple phenotypes. Results: We propose a user-friendly software tool MARV for Multi-phenotype Analysis of Rare Variants. The tool is based on a method that collapses rare variants within a genomic region and models the proportion of minor alleles in the rare variants on a linear combination of multiple phenotypes. MARV provides analyses of all phenotype combinations within one run and calculates the Bayesian Information Criterion to facilitate model selection. The running time increases with the size of the genetic data while the number of phenotypes to analyse has little effect both on running time and required memory. We illustrate the use of MARV with analysis of triglycerides (TG), fasting insulin (FI) and waist-to-hip ratio (WHR) in 4,721 individuals from the Northern Finland Birth Cohort 1966. The analysis suggests novel multi-phenotype effects for these metabolic traits at APOA5 and ZNF259, and at ZNF259 provides stronger support for association (P TG+FI = 1.8 × 10−9) than observed in single phenotype rare variant analyses (P TG = 6.5 × 10−8 and P FI = 0.27). Conclusions: MARV is a computationally efficient, flexible and user-friendly software tool allowing rapid identification of rare variant effects on multiple phenotypes, thus paving the way for novel discoveries and insights into biology of complex traits
The first report of Aelurostrongylus falciformis in Norwegian badgers (Meles meles)
The first report of Aelurostrongylus falciformis (Schlegel 1933) in Fennoscandian badgers is described. Routine parasitological examination of nine Norwegian badgers, at the National Veterinary Institute during 2004 and 2005, identified A. falciformis in the terminal airways of five of the animals. The first stage larvae (L1) closely resembled, in size and morphology, those of Angiostrongylus vasorum (Baillet 1866). The diagnosis for both A. falciformis and A. vasorum is frequently based on the identification of L1 in faeces or sputum. The potential for misclassification of an A. falciformis infection as A. vasorum, where larval identification is the only diagnostic method used, is discussed
Identification of a Novel Gammaretrovirus in Prostate Tumors of Patients Homozygous for R462Q RNASEL Variant
Ribonuclease L (RNase L) is an important effector of the innate antiviral response. Mutations or variants that impair function of RNase L, particularly R462Q, have been proposed as susceptibility factors for prostate cancer. Given the role of this gene in viral defense, we sought to explore the possibility that a viral infection might contribute to prostate cancer in individuals harboring the R462Q variant. A viral detection DNA microarray composed of oligonucleotides corresponding to the most conserved sequences of all known viruses identified the presence of gammaretroviral sequences in cDNA samples from seven of 11 R462Q-homozygous (QQ) cases, and in one of eight heterozygous (RQ) and homozygous wild-type (RR) cases. An expanded survey of 86 tumors by specific RT-PCR detected the virus in eight of 20 QQ cases (40%), compared with only one sample (1.5%) among 66 RQ and RR cases. The full-length viral genome was cloned and sequenced independently from three positive QQ cases. The virus, named XMRV, is closely related to xenotropic murine leukemia viruses (MuLVs), but its sequence is clearly distinct from all known members of this group. Comparison of gag and pol sequences from different tumor isolates suggested infection with the same virus in all cases, yet sequence variation was consistent with the infections being independently acquired. Analysis of prostate tissues from XMRV-positive cases by in situ hybridization and immunohistochemistry showed that XMRV nucleic acid and protein can be detected in about 1% of stromal cells, predominantly fibroblasts and hematopoietic elements in regions adjacent to the carcinoma. These data provide to our knowledge the first demonstration that xenotropic MuLV-related viruses can produce an authentic human infection, and strongly implicate RNase L activity in the prevention or clearance of infection in vivo. These findings also raise questions about the possible relationship between exogenous infection and cancer development in genetically susceptible individuals
Filaggrin mutations in relation to skin barrier and atopic dermatitis in early infancy
Background Loss-of-function mutations in the skin barrier gene filaggrin (FLG) increase the risk of atopic dermatitis (AD), but their role in skin barrier function, dry skin and eczema in infancy is unclear. Objectives To determine the role of FLG mutations in impaired skin barrier function, dry skin, eczema and AD at 3 months of age and throughout infancy. Methods FLG mutations were analysed in 1836 infants in the Scandinavian population-based PreventADALL study. Transepidermal water loss (TEWL), dry skin, eczema and AD were assessed at 3, 6 and 12 months of age. Results FLG mutations were observed in 166 (9%) infants. At 3 months, carrying FLG mutations was not associated with impaired skin barrier function (TEWL > 11 center dot 3 g m(-2) h(-1)) or dry skin, but was associated with eczema [odds ratio (OR) 2 center dot 89, 95% confidence interval (CI) 1 center dot 95-4 center dot 28; P < 0 center dot 001]. At 6 months, mutation carriers had significantly higher TEWL than nonmutation carriers [mean 9 center dot 68 (95% CI 8 center dot 69-10 center dot 68) vs. 8 center dot 24 (95% CI 7 center dot 97-8 center dot 15), P < 0 center dot 01], and at 3 and 6 months mutation carriers had an increased risk of dry skin on the trunk (OR 1 center dot 87, 95% CI 1 center dot 25-2 center dot 80; P = 0 center dot 002 and OR 2 center dot 44, 95% CI 1 center dot 51-3 center dot 95; P < 0 center dot 001) or extensor limb surfaces (OR 1 center dot 52, 95% CI 1 center dot 04-2 center dot 22; P = 0 center dot 028 and OR 1 center dot 74, 95% CI 1 center dot 17-2 center dot 57; P = 0 center dot 005). FLG mutations were associated with eczema and AD in infancy. Conclusions FLG mutations were not associated with impaired skin barrier function or dry skin in general at 3 months of age, but increased the risk for eczema, and for dry skin on the trunk and extensor limb surfaces at 3 and 6 months.Peer reviewe
Cytoplasmic p53 couples oncogene-driven glucose metabolism to apoptosis and is a therapeutic target in glioblastoma.
Cross-talk among oncogenic signaling and metabolic pathways may create opportunities for new therapeutic strategies in cancer. Here we show that although acute inhibition of EGFR-driven glucose metabolism induces only minimal cell death, it lowers the apoptotic threshold in a subset of patient-derived glioblastoma (GBM) cells. Mechanistic studies revealed that after attenuated glucose consumption, Bcl-xL blocks cytoplasmic p53 from triggering intrinsic apoptosis. Consequently, targeting of EGFR-driven glucose metabolism in combination with pharmacological stabilization of p53 with the brain-penetrant small molecule idasanutlin resulted in synthetic lethality in orthotopic glioblastoma xenograft models. Notably, neither the degree of EGFR-signaling inhibition nor genetic analysis of EGFR was sufficient to predict sensitivity to this therapeutic combination. However, detection of rapid inhibitory effects on [18F]fluorodeoxyglucose uptake, assessed through noninvasive positron emission tomography, was an effective predictive biomarker of response in vivo. Together, these studies identify a crucial link among oncogene signaling, glucose metabolism, and cytoplasmic p53, which may potentially be exploited for combination therapy in GBM and possibly other malignancies
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