The genetic association between personality and major depression or bipolar disorder. A polygenic score analysis using genome-wide association data

The relationship between major depressive disorder (MDD) and bipolar disorder (BD) remains controversial. Previous research has reported differences and similarities in risk factors for MDD and BD, such as predisposing personality traits. For example, high neuroticism is related to both disorders, whereas openness to experience is specific for BD. This study examined the genetic association between personality and MDD and BD by applying polygenic scores for neuroticism, extraversion, openness to experience, agreeableness and conscientiousness to both disorders. Polygenic scores reflect the weighted sum of multiple single-nucleotide polymorphism alleles associated with the trait for an individual and were based on a meta-analysis of genome-wide association studies for personality traits including 13,835 subjects. Polygenic scores were tested for MDD in the combined Genetic Association Information Network (GAIN-MDD) and MDD2000+ samples (N=8921) and for BD in the combined Systematic Treatment Enhancement Program for Bipolar Disorder and Wellcome Trust Case-Control Consortium samples (N=6329) using logistic regression analyses. At the phenotypic level, personality dimensions were associated with MDD and BD. Polygenic neuroticism scores were significantly positively associated with MDD, whereas polygenic extraversion scores were significantly positively associated with BD. The explained variance of MDD and BD, approximately 0.1%, was highly comparable to the variance explained by the polygenic personality scores in the corresponding personality traits themselves (between 0.1 and 0.4%). This indicates that the proportions of variance explained in mood disorders are at the upper limit of what could have been expected. This study suggests shared genetic risk factors for neuroticism and MDD on the one hand and for extraversion and BD on the other.

Liveweight prediction from hip height, condition score, fetal age and breed in tropical female cattle

Hip height, body condition, subcutaneous fat, eye muscle area, percentage Bos taurus, fetal age and diet digestibility data were collected at 17 372 assessments on 2181 Brahman and tropical composite (average 28% Brahman) female cattle aged between 0.5 and 7.5 years of age at five sites across Queensland. The study validated the subtraction of previously published estimates of gravid uterine weight to correct liveweight to the non-pregnant status. Hip height and liveweight were linearly related (Brahman: P<0.001, R-2 = 58%; tropical composite P<0.001, R-2 = 67%). Liveweight varied by 12-14% per body condition score (5-point scale) as cows differed from moderate condition (P<0.01). Parallel effects were also found due to subcutaneous rump fat depth and eye muscle area, which were highly correlated with each other and body condition score (r = 0.7-0.8). Liveweight differed from average by 1.65-1.66% per mm of rump fat depth and 0.71-0.76% per cm(2) of eye muscle area (P<0.01). Estimated dry matter digestibility of pasture consumed had no consistent effect in predicting liveweight and was therefore excluded from final models. A method developed to estimate full liveweight of post-weaning age female beef cattle from the other measures taken predicted liveweight to within 10 and 23% of that recorded for 65 and 95% of cases, respectively. For a 95% chance of predicted group average liveweight (body condition score used) being within 5, 4, 3, 2 and 1% of actual group average liveweight required 23, 36, 62, 137 and 521 females, respectively, if precision and accuracy of measurements matches that used in the research. Non-pregnant Bos taurus female cattle were calculated to be 10-40% heavier than Brahmans at the same hip height and body condition, indicating a substantial conformational difference. The liveweight prediction method was applied to a validation population of 83 unrelated groups of cattle weighed in extensive commercial situations on 119 days over 18 months (20 917 assessments). Liveweight prediction in the validation population exceeded average recorded liveweight for weigh groups by an average of 19 kg (similar to 6%) demonstrating the difficulty of achieving accurate and precise animal measurements under extensive commercial grazing conditions.

Prediction of individual genetic risk to prostate cancer using a polygenic score

BACKGROUND Polygenic risk scores comprising established susceptibility variants have shown to be informative classifiers for several complex diseases including prostate cancer. For prostate cancer it is unknown if inclusion of genetic markers that have so far not been associated with prostate cancer risk at a genome-wide significant level will improve disease prediction. METHODS We built polygenic risk scores in a large training set comprising over 25,000 individuals. Initially 65 established prostate cancer susceptibility variants were selected. After LD pruning additional variants were prioritized based on their association with prostate cancer. Six-fold cross validation was performed to assess genetic risk scores and optimize the number of additional variants to be included. The final model was evaluated in an independent study population including 1,370 cases and 1,239 controls. RESULTS The polygenic risk score with 65 established susceptibility variants provided an area under the curve (AUC) of 0.67. Adding an additional 68 novel variants significantly increased the AUC to 0.68 (P = 0.0012) and the net reclassification index with 0.21 (P = 8.5E-08). All novel variants were located in genomic regions established as associated with prostate cancer risk. CONCLUSIONS Inclusion of additional genetic variants from established prostate cancer susceptibility regions improves disease prediction. Prostate 75:1467–1474, 2015. © 2015 Wiley Periodicals, Inc.

Association between molecular variation in the phosphoglucose isomerase (Pgi) locus and migration propensity in the Glanville fritillary butterfly

Habitat fragmentation produces patches of suitable habitat surrounded by unfavourable matrix habitat. A species may persist in such a fragmented landscape in an equilibrium between the extinctions and recolonizations of local populations, thus forming a metapopulation. Migration between local populations is necessary for the long-term persistence of a metapopulation. The Glanville fritillary butterfly (Melitaea cinxia) forms a metapopulation in the Åland islands in Finland. There is migration between the populations, the extent of which is affected by several environmental factors and variation in the phenotype of individual butterflies. Different allelic forms of the glycolytic enzyme phosphoglucose isomerase (Pgi) has been identified as a possible genetic factor influencing flight performance and migration rate in this species. The frequency of a certain Pgi allele, Pgi-f, follows the same pattern in relation to population age and connectivity as migration propensity. Furthermore, variation in flight metabolic performance, which is likely to affect migration propensity, has been linked to genetic variation in Pgi or a closely linked locus. The aim of this study was to investigate the association between Pgi genotype and the migration propensity in the Glanville fritillary both at the individual and population levels using a statistical modelling approach. A mark-release-recapture (MRR) study was conducted in a habitat patch network of M. cinxia in Åland to collect data on the movements of individual butterflies. Larval samples from the study area were also collected for population level examinations. Each butterfly and larva was genotyped at the Pgi locus. The MRR data was parameterised with two mathematical models of migration: the Virtual Migration Model (VM) and the spatially explicit diffusion model. VM model predicted and observed numbers of emigrants from populations with high and low frequencies of Pgi-f were compared. Posterior predictive data sets were simulated based on the parameters of the diffusion model. Lack-of-fit of observed values to the model predicted values of several descriptors of movements were detected, and the effect of Pgi genotype on the deviations was assessed by randomizations including the genotype information. This study revealed a possible difference in the effect of Pgi genotype on migration propensity between the two sexes in the Glanville fritillary. The females with and males without the Pgi-f allele moved more between habitat patches, which is probably related to differences in the function of flight in the two sexes. Females may use their high flight capacity to migrate between habitat patches to find suitable oviposition sites, whereas males may use it to acquire mates by keeping a territory and fighting off other intruding males, possibly causing them to emigrate. The results were consistent across different movement descriptors and at the individual and population levels. The effect of Pgi is likely to be dependent on the structure of the landscape and the prevailing environmental conditions.

Propensity of formation of zipper architecture vs. Lincoln log arrangement in solvated molecular complexes of melamine with hydroxybenzoic acids

Molecular complexes of melamine with hydroxy and dihydroxybenzoic acids have been analyzed to assess the collective role of the hydroxyl (OH) and carboxyl (COOH) functionalities in the recognition process. In most cases, solvents of crystallization do play a major role in self-assembly and structure stabilization. Hydrated compounds generate linear chains of melamine molecules with acid molecules pendant resulting in a zipper architecture. However, anhydrous and solvated compounds generate tetrameric units consisting of melamine dimers together with acid molecules. These tetramers in turn interweave to form a Lincoln log arrangement in the crystal. The salt/co-crystal formation in these complexes cannot be predicted apriori on the basis of Delta pK(a) values as there exists a salt-to-co-crystal continuum.

Unconstrained Homooligomeric gamma-Peptides Show High Propensity for C-14 Helix Formation

Monosubstituted gamma(4)-residues (gamma(4)Leu, gamma(4)Ile, and gamma(4)Val) form helices even in short homooligomeric sequences. C-14 helix formation is established by X-ray diffraction in homooligomeric (gamma)(n) tetra-, hexa- and decapeptide sequences demonstrating the high propensity of gamma residues, with proteinogenic side chains, to adopt locally folded conformations.

Assessing GCM Convergence for India Using the Variable Convergence Score

General circulation models (GCMs) use transient climate simulations to predict climate conditions in the future. Coarse-grid resolutions and process uncertainties necessitate the use of downscaling models to simulate precipitation. However, in the downscaling models, with multiple GCMs now available, selecting an atmospheric variable from a particular model which is representative of the ensemble mean becomes an important consideration. The variable convergence score (VCS) provides a simple yet meaningful approach to address this issue, providing a mechanism to evaluate variables against each other with respect to the stability they exhibit in future climate simulations. In this study, VCS methodology is applied to 10 atmospheric variables of particular interest in downscaling precipitation over India and also on a regional basis. The nested bias-correction methodology is used to remove the systematic biases in the GCMs simulations, and a single VCS curve is developed for the entire country. The generated VCS curve is expected to assist in quantifying the variable performance across different GCMs, thus reducing the uncertainty in climate impact-assessment studies. The results indicate higher consistency across GCMs for pressure and temperature, and lower consistency for precipitation and related variables. Regional assessments, while broadly consistent with the overall results, indicate low convergence in atmospheric attributes for the Northeastern parts of India.

Propensity to Form Amyloid Fibrils Is Encoded as Excitations in the Free Energy Landscape of Monomeric Proteins

Protein aggregation, linked to many of diseases, is initiated when monomers access rogue conformations that are poised to form amyloid fibrils. We show, using simulations of src SH3 domain, that mechanical force enhances the population of the aggregation-prone (N*) states, which are rarely populated under force free native conditions but are encoded in the spectrum of native fluctuations. The folding phase diagrams of SH3 as a function of denaturant concentration (C]), mechanical force (f), and temperature exhibit an apparent two-state behavior, without revealing the presence of the elusive N* states. Interestingly, the phase boundaries separating the folded and unfolded states at all C] and f fall on a master curve, which can be quantitatively described using an analogy to superconductors in a magnetic field. The free energy profiles as a function of the molecular extension (R), which are accessible in pulling experiments, (R), reveal the presence of a native-like N* with a disordered solvent-exposed amino-terminal beta-strand. The structure of the N* state is identical with that found in Fyn SH3 by NMR dispersion experiments. We show that the timescale for fibril formation can be estimated from the population of the N* state, determined by the free energy gap separating the native structure and the N* state, a finding that can be used to assess fibril forming tendencies of proteins. The structures of the N* state are used to show that oligomer formation and likely route to fibrils occur by a domain-swap mechanism in SH3 domain. (C) 2014 Elsevier Ltd. All rights reserved.

Relationship between prion propensity and the rates of individual molecular steps of fibril assembly.

Peptides and proteins possess an inherent propensity to self-assemble into generic fibrillar nanostructures known as amyloid fibrils, some of which are involved in medical conditions such as Alzheimer disease. In certain cases, such structures can self-propagate in living systems as prions and transmit characteristic traits to the host organism. The mechanisms that allow certain amyloid species but not others to function as prions are not fully understood. Much progress in understanding the prion phenomenon has been achieved through the study of prions in yeast as this system has proved to be experimentally highly tractable; but quantitative understanding of the biophysics and kinetics of the assembly process has remained challenging. Here, we explore the assembly of two closely related homologues of the Ure2p protein from Saccharomyces cerevisiae and Saccharomyces paradoxus, and by using a combination of kinetic theory with solution and biosensor assays, we are able to compare the rates of the individual microscopic steps of prion fibril assembly. We find that for these proteins the fragmentation rate is encoded in the structure of the seed fibrils, whereas the elongation rate is principally determined by the nature of the soluble precursor protein. Our results further reveal that fibrils that elongate faster but fracture less frequently can lose their ability to propagate as prions. These findings illuminate the connections between the in vitro aggregation of proteins and the in vivo proliferation of prions, and provide a framework for the quantitative understanding of the parameters governing the behavior of amyloid fibrils in normal and aberrant biological pathways.

Sequential Monte Carlo computation of the score and observed information matrix in state-space models with application to parameter estimation

Sequential Monte Carlo (SMC) methods are popular computational tools for Bayesian inference in non-linear non-Gaussian state-space models. For this class of models, we propose SMC algorithms to compute the score vector and observed information matrix recursively in time. We propose two different SMC implementations, one with computational complexity $\mathcal{O}(N)$ and the other with complexity $\mathcal{O}(N^{2})$ where $N$ is the number of importance sampling draws. Although cheaper, the performance of the $\mathcal{O}(N)$ method degrades quickly in time as it inherently relies on the SMC approximation of a sequence of probability distributions whose dimension is increasing linearly with time. In particular, even under strong \textit{mixing} assumptions, the variance of the estimates computed with the $\mathcal{O}(N)$ method increases at least quadratically in time. The $\mathcal{O}(N^{2})$ is a non-standard SMC implementation that does not suffer from this rapid degrade. We then show how both methods can be used to perform batch and recursive parameter estimation.

Carga de trabalho de enfermeiros: uma análise do Nursing Activities Score (NAS)

Este estudo tem como objeto a carga de trabalho de enfermeiros que trabalham em unidades de cuidados semi-intensivos. Seu objetivo geral foi identificar e analisar a percepção dos enfermeiros de uma unidade semi-intensiva acerca do instrumento Nursing Activities Score - NAS, tendo como foco o conceito de carga de trabalho. Os objetivos específicos foram: identificar domínios do NAS considerados pelos enfermeiros como capazes de avaliar a carga de trabalho; identificar os itens que os enfermeiros consideram relevantes e manteriam no instrumento, os itens que excluiriam e os que acrescentariam; identificar itens que os enfermeiros consideram subdimensionados, para os quais aumentariam a pontuação, os superdimensionados, para os quais diminuiriam a pontuação; e, ao final, discutir implicações dessa avaliação para a organização do trabalho e seus impactos na saúde do trabalhador de enfermagem. Estudo de abordagem quantitativa do tipo descritivo exploratória, com breve aporte qualitativo, utilizando a triangulação metodológica. O local de estudo foi uma unidade de média complexidade com 35 leitos em um hospital privado do Rio de Janeiro. Participaram do estudo 28 enfermeiros e os dados foram coletados por meio de um questionário com perguntas fechadas e abertas no período de abril a maio de 2008. O tratamento dos dados foi realizado com apoio do software Excel, utilizando estatística descritiva. O material qualitativo foi organizado em categorias, usando elementos da Análise de Conteúdo Temática. Entre os domínios, verificou-se que os enfermeiros consideram o que mais avalia a carga real de trabalho o Suporte Ventilatório, com 89%, e o domínio que não avalia a carga de trabalho foi o Suporte Neurológico, com 25%. Os três domínios mais citados para serem acrescidos de atividades foram o Suporte Renal, com 25%, seguido Intervenção Especificas, com 21%, e Suporte Metabólico, respectivamente. Quanto à exclusão de atividades, só dois domínios foram mencionados: Suporte Ventilatório, com 25%, e Atividade Básica, com 21%. Os enfermeiros acham que 69% da pontuação era adequada aos itens e 31% acreditam não estar adequada. No grupo, 27% aumentariam a pontuação em alguns itens e 4% diminuiriam a pontuação. Sobre a mensuração da carga de trabalho, acreditam que essa colabora no processo de trabalho, 79%, e 57% acham que mensurar a carga de trabalho através do NAS pode auxiliar na preservação de sua saúde. Concluímos que esse instrumento mensura a carga de trabalho na opinião dos enfermeiros, mas precisa ser adaptado à realidade da unidade onde está sendo aplicada. Além disso, os enfermeiros alteraram mais os itens relacionados à carga física sem identificar a carga psíquica de trabalho como relevante, evidenciando que o trabalho de enfermagem precisa ser mais bem conhecido pelos enfermeiros no que se refere às dimensões de impacto na sua saúde.

Tradução, adaptação cultural e validação do Nonarthritic Hip Score para o Brasil

A avaliação da qualidade de vida tem sido cada vez mais utilizada pelos profissionais da área de saúde para mensurar o impacto de doenças na vida dos pacientes, bem como para avaliar os resultados dos tratamentos realizados. O crescente interesse por protocolos de pesquisa clínica em doenças não degenerativas do quadril tem encontrado muitos obstáculos na avaliação objetiva de seus resultados, principalmente nos estudos de observação de novas intervenções terapêuticas, como a artroscopia. O Nonarthritic Hip Score (NAHS) é um instrumento de avaliação clínica, desenvolvido originalmente em inglês, cujo objetivo é avaliar a função da articulação do quadril em pacientes jovens e fisicamente ativos. O objetivo desse estudo foi traduzir esse instrumento para a língua portuguesa, adaptá-lo para a cultura brasileira e validá-lo para que possa ser utilizado na avaliação de qualidade de vida de pacientes brasileiros com dor no quadril, sem doença degenerativa. A metodologia utilizada é a sugerida por Guillemin et al. (1993) e revisado por Beaton et al. (2000), que propuseram um conjunto de instruções padronizadas para adaptação cultural de instrumentos de qualidade de vida, incluindo cinco etapas: tradução, tradução de volta, revisão pelo comitê, pré-teste e teste, com reavaliação dos pesos dos escores, se relevante. A versão de consenso foi aplicada em 30 indivíduos. As questões sobre atividades esportivas e tarefas domésticas foram modificadas, para melhor adaptação à cultura brasileira. A versão brasileira do Nonarthritic Hip Score (NAHS-Brasil) foi respondida por 64 pacientes com dor no quadril, a fim de avaliar as propriedades de medida do instrumento: reprodutibilidade, consistência interna e validade. A reprodutibilidade foi 0,9, mostrando uma forte correlação; a consistência interna mostrou correlação entre 0,8 e 0,9, considerada boa e excelente; a validade foi considerada respectivamente boa e excelente; a correlação entre NAHS-Brasil e WOMAC foi 0,9; e a correlação entre o NAHS-Brasil e Questionário Algofuncional de Lequesne foi 0,79. O Nonarthritic Hip Score foi traduzido para a língua portuguesa e adaptado à cultura brasileira, de acordo com o conjunto de instruções padronizadas para adaptação cultural de instrumentos de qualidade de vida. Sua reprodutibilidade, consistência interna e validade foram também demonstradas.