In this comparative study, six causality detection methods were compared, namely, the Granger vector autoregressive test, the extended Granger test, the kernel version of the Granger test, the conditional mutual information (transfer entropy), the evaluation of cross mappings between state spaces, and an assessment of predictability improvement due to the use of mixed predictions. Seven test data sets were analyzed: linear coupling of autoregressive models, a unidirectional connection of two Hénon systems, a unidirectional connection of chaotic systems of Rössler and Lorenz type and of two different Rössler systems, an example of bidirectionally connected two-species systems, a fishery model as an example of two correlated observables without a causal relationship, and an example of mediated causality. We tested not only 20000 points long clean time series but also noisy and short variants of the data. The standard and the extended Granger tests worked only for the autoregressive models. The remaining methods were more successful with the more complex test examples, although they differed considerably in their capability to reveal the presence and the direction of coupling and to distinguish causality from mere correlation.

• Publikační typ
• časopisecké články MeSH

Maximization of genetic gain in forest tree breeding programs is contingent on the accuracy of the predicted breeding values and precision of the estimated genetic parameters. We investigated the effect of the combined use of contemporary pedigree information and genomic relatedness estimates on the accuracy of predicted breeding values and precision of estimated genetic parameters, as well as rankings of selection candidates, using single-step genomic evaluation (HBLUP). In this study, two traits with diverse heritabilities [tree height (HT) and wood density (WD)] were assessed at various levels of family genotyping efforts (0, 25, 50, 75, and 100%) from a population of white spruce (Picea glauca) consisting of 1694 trees from 214 open-pollinated families, representing 43 provenances in Québec, Canada. The results revealed that HBLUP bivariate analysis is effective in reducing the known bias in heritability estimates of open-pollinated populations, as it exposes hidden relatedness, potential pedigree errors, and inbreeding. The addition of genomic information in the analysis considerably improved the accuracy in breeding value estimates by accounting for both Mendelian sampling and historical coancestry that were not captured by the contemporary pedigree alone. Increasing family genotyping efforts were associated with continuous improvement in model fit, precision of genetic parameters, and breeding value accuracy. Yet, improvements were observed even at minimal genotyping effort, indicating that even modest genotyping effort is effective in improving genetic evaluation. The combined utilization of both pedigree and genomic information may be a cost-effective approach to increase the accuracy of breeding values in forest tree breeding programs where shallow pedigrees and large testing populations are the norm.

• Klíčová slova
• GenPred, HBLUP, Shared Data Resources, bivariate mixed model, genomic selection, single-step BLUP, tree improvement,
• MeSH
• chov MeSH
• genetické markery MeSH
• genotypizační techniky metody   MeSH
• opylení genetika   MeSH
• rodokmen MeSH
• smrk genetika   MeSH
• Publikační typ
• časopisecké články MeSH
• práce podpořená grantem MeSH
• Research Support, U.S. Gov't, Non-P.H.S. MeSH
• Názvy látek
• genetické markery MeSH

BACKGROUND: Gender discrimination may be a novel mechanism through which gender inequality negatively affects the health of women and girls. We investigated whether children's mental health varied with maternal exposure to perceived gender discrimination. METHODS: Complete longitudinal data was available on 2,567 mother-child dyads who were enrolled between March 1, 1991 and June 30, 1992 in the European Longitudinal Cohort Study of Pregnancy and Childhood-Czech cohort and were surveyed at multiple time points between pregnancy and child age up to 15 years. The Strengths and Difficulties Questionnaire (SDQ) was administered at child age 7, 11, and 15 years to assess child emotional/behavioural difficulties. Perceived gender discrimination was self-reported in mid-pregnancy and child age 7 and 11 years. Multilevel mixed-effects linear regression of SDQ scores were estimated. Mediation was tested using structural equation models. FINDINGS: Perceived gender discrimination, reported by 11.2% of mothers in mid-pregnancy, was related to increased emotional/behavioural difficulties among children in bivariate analysis (slope = 0.24 [95% confidence interval (CI): 0.15, 0.32], p<0.0001) and in the fully adjusted model (slope = 0.18 [95% CI: 0.09, 0.27], p<0.0001). Increased difficulties were evident among children of mothers with more depressive symptoms (slope = 0.04 [95% CI: 0.03, 0.05], p<0.0001), boys (slope = 0.26 [95% CI: 0.19, 0.34], p<0.0001), first children (slope = 0.16 [95% CI: 0.09, 0.23], p<0.0001), and families under financial hardship (slope = 0.09 [95% CI: 0.04, 0.14], p<0.0001). Effects were attenuated for married mothers (slope-0.12 [95% CI: -0.22, -0.01], p<0.05]. Maternal depressive symptoms and financial hardship mediated about 37% and 13%, respectively, of the total effect of perceived gender discrimination on SDQ scores. INTERPRETATION: Perceived gender discrimination among child-bearing women in family contexts was associated with more mental health problems among their children and adolescents, extending prior research showing associations with maternal mental health problems. Maternal depressive symptoms and, to a lesser extent, financial hardship both partially mediated the positive relationship between perceived gender discrimination and child emotional/behavioural problems. This should be taken into consideration when measuring the societal burden of gender inequality and gender-based discrimination. Moreover, gender-based discrimination affects more than one gender and more than one generation, extending to boys in the household even moreso than girls, highlighting that gender discrimination is everyone's issue. Further research is required on the intergenerational mechanisms whereby gender discrimination may lead to maternal and child mental health consequences. FUNDING: Bill and Melinda Gates Foundation; Ministry of Education, Youth and Sports, Czech Republic and European Structural and Investment Funds.

• Klíčová slova
• Adolescent health, Adverse childhood experiences, Behavioural problems, Child health, Gender discrimination, Mental health,
• Publikační typ
• časopisecké články MeSH