Correlation Effect Size Research Articles

Evaluation of Zoetis GeneMax Advantage genomic predictions in commercial Bos taurus Angus cattle

The GeneMax (GMX) Advantage test, developed by Zoetis, uses approximately 50,000 single nucleotide polymorphisms (SNP) to predict the genomic potential of a commercial Angus heifer. Genetic predictions are provided for Calving Ease Maternal, Weaning Weight, Heifer Pregnancy, Milk, Mature Weight, Dry Matter Intake, Carcass Weight, Marbling, Yield, and three economic selection indices. Test results can inform selection and culling decisions made by commercial beef cattle producers. To measure the accuracy of the trait predictions, data from commercial Angus females and their progeny at the University of Missouri Thompson Research Center were utilized to analyze weaning weight, milk, marbling, fat, ribeye area, and carcass weight. Progeny phenotypic data were matched to the respective dam, then the cow's genomic predictions were compared to the calf's age-adjusted phenotypes using correlation and linear model effect sizes. All tested GeneMax scores of the dam were significantly correlated with and predicted calf performance. Our predicted effect sizes, except for fat thickness, were similar to those reported by Zoetis. In conclusion, the GeneMax Advantage test accurately ranks animals based on their genetic merit and is an effective selection tool in commercial cowherds.

Comparing Bayesian Variable Selection to Lasso Approaches for Applications in Psychology

In the current paper, we review existing tools for solving variable selection problems in psychology. Modern regularization methods such as lasso regression have recently been introduced in the field and are incorporated into popular methodologies, such as network analysis. However, several recognized limitations of lasso regularization may limit its suitability for psychological research. In this paper, we compare the properties of lasso approaches used for variable selection to Bayesian variable selection approaches. In particular we highlight advantages of stochastic search variable selection (SSVS), that make it well suited for variable selection applications in psychology. We demonstrate these advantages and contrast SSVS with lasso type penalization in an application to predict depression symptoms in a large sample and an accompanying simulation study. We investigate the effects of sample size, effect size, and patterns of correlation among predictors on rates of correct and false inclusion and bias in the estimates. SSVS as investigated here is reasonably computationally efficient and powerful to detect moderate effects in small sample sizes (or small effects in moderate sample sizes), while protecting against false inclusion and without over-penalizing true effects. We recommend SSVS as a flexible framework that is well-suited for the field, discuss limitations, and suggest directions for future development.

Development and validation of deep learning-based automatic brain segmentation for East Asians: A comparison with Freesurfer.

To develop and validate deep learning-based automatic brain segmentation for East Asians with comparison to data for healthy controls from Freesurfer based on a ground truth. A total of 30 healthy participants were enrolled and underwent T1-weighted magnetic resonance imaging (MRI) using a 3-tesla MRI system. Our Neuro I software was developed based on a three-dimensional convolutional neural networks (CNNs)-based, deep-learning algorithm, which was trained using data for 776 healthy Koreans with normal cognition. Dice coefficient (D) was calculated for each brain segment and compared with control data by paired t-test. The inter-method reliability was assessed by intraclass correlation coefficient (ICC) and effect size. Pearson correlation analysis was applied to assess the relationship between D values for each method and participant ages. The D values obtained from Freesurfer (ver6.0) were significantly lower than those from Neuro I. The histogram of the Freesurfer results showed remarkable differences in the distribution of D values from Neuro I. Overall, D values obtained by Freesurfer and Neuro I showed positive correlations, but the slopes and intercepts were significantly different. It was showed the largest effect sizes ranged 1.07-3.22, and ICC also showed significantly poor to moderate correlations between the two methods (0.498 ≤ ICC ≤ 0.688). For Neuro I, D values resulted in reduced residuals when fitting data to a line of best fit, and indicated consistent values corresponding to each age, even in young and older adults. Freesurfer and Neuro I were not equivalent when compared to a ground truth, where Neuro I exhibited higher performance. We suggest that Neuro I is a useful alternative for the assessment of the brain volume.

학교체육활동 참여로 인지되는 재미 관련 요인에 대한 메타분석

Purpose: The purpose of this study is to conduct a meta-analysis of the relationship between the fun of participants in school physical activity and various factors.BR Method: In this study, academic journals published in Korea that examined the relationship between fun and related variables of participants in school physical activity were analyzed. Data analysis was performed using the CMA, ver 4.0 program. To conduct the meta-analysis, we performed Effect Size calculation, Test of Homogeneity, Subgroup Analysis, and Verification of Publication Bias.BR Results: Firstly, the overall correlation effect size between the fun of school physical activity participants and related variables was found to be of moderate magnitude (ESr=.376). Secondly, as a result of analyzing the effect size of the correlation coefficient between the fun of physical education class and related variables, the class immersion (ESr=.556) showed a high degree of correlation coefficient effect size. Thirdly, the results of analyzing the effect size of the correlation coefficient of the fun of physical education class and all related variables by age group showed that the correlation coefficient was in the order of children (ESr=.546), adults (ESr=.373), and adolescents (ESr=.229). Effect sizes were observed. Class satisfaction for children, school life for adolescents, and exercise commitment for adults showed the highest correlation coefficient effect size. Fourthly, in the correlation between fun and related variables, ‘continuity of sports activity’ was a variable that shows relevance in common in all age groups.BR Conclusion: The fun of school sports activities is a factor that should be actively considered in terms of increasing the sports participation rate and will be a catalyst for lifelong sports practice.

Correlation of sample geometry and grain size in micro-bending of electrodeposited polycrystalline gold

In this study, micro-cantilevers are fabricated from electrodeposited gold by focus ion beam system, and correlations of the sample geometry effect and average grain size on the bending characteristics are evaluated. The average grain size of all as-fabricated micro-cantilevers is measured to identify contributions of each of the sample geometry effect and average grain size to the micro-mechanical strength. The micro-cantilever with a finer average grain size shows a higher yield stress as a result of the grain boundary strengthening mechanism. The sample geometry effect is confirmed when varying the width and thickness of the micro-cantilever, which the yield stress is more dependent on the thickness than that on the width.

NEURONORMA Cognitive Battery Associations with Cerebrospinal Fluid Amyloid-β and Tau Levels in the Continuum of Alzheimer's Disease.

Neuropsychological assessments are essential to define the cognitive profile and contribute to the diagnosis of Alzheimer's disease (AD). The progress in knowledge about the pathophysiological process of the disease has allowed conceptualizing AD through biomarkers as a biological continuum that encompasses different clinical stages. To explore the association between cerebrospinal fluid (CSF) biomarkers of AD and cognition using the NEURONORMA battery, in a sample of cognitively unimpaired (CU), mild cognitive impaired (MCI), and mild dementia of the Alzheimer type (DAT) subjects, and to characterize the cognitive profiles in MCI subjects classified by A/T/N system. 42 CU, 35 MCI, and 35 mild DAT were assessed using the NEURONORMA battery. Core AD biomarkers [amyloid-β42 (Aβ42) peptide, total tau (t-tau), and phosphorylated tau 181 (p-tau181)] proteins were measured in CSF. Correlation coefficients, multivariate regression, and effect sizes were calculated. We explored the age- and education-adjusted cognitive profiles by A/T/N variants within the MCI group. Cognitive outcomes were directly associated with CSF Aβ42 and inversely with CSF tau measures. We found differences in both biomarkers and cognitive outcomes comparing all pairs except for CSF measures between cognitively impaired groups. The highest effect size was in memory tasks and biomarkers ratios. Lower performances were in memory and executive domains in MCI subjects with AD pathology (A+T+N±) compared to those with normal levels of AD biomarkers (A- T- N). This study provides further evidence of the validity of Spanish NEURONORMA cognitive battery to characterize cognitive impairment in the AD pathological continuum.

A Preliminary Assessment of The Relationship Between Cellphone Use and Physical Activity, Sedentary Behavior, Anxiety, and Academic Performance in High School Students.

Introduction: Prior research has examined the relationships between cellphone use and physical activity and sedentary behavior as well as measures of psychological well-being and academic performance. This work largely focuses on adults. However, there is an inverse relationship between cellphone use and age. Because their cellphone use may be different from adults, understanding these relationships in younger individuals is warranted. Methods: High school students (N = 17) completed an online survey consisting of validated items assessing self-reported cellphone use, physical activity, sedentary behavior, anxiety, and grade point average. Correlation analyses were then performed assessing the relationships between cell phone use to all other variables. Results: There were large, significant effect sizes (r ≥ -0.58, p ≤ 0.04) for negative correlations between cellphone use and vigorous and total physical activity. There was also a moderate effect size (r = -0.39; r = 0.46) for a negative relationship between cellphone use and mild physical activity and a positive correlation between cellphone use and anxiety, respectively. Cellphone use was not related to the remaining variables. Conclusions: In this preliminary study of high school students, greater cellphone use was associated with greater anxiety, which supports prior research in adults. However, unlike research reporting a lack of a relationship in adults, greater cellphone use was associated with lower physical activity in high schoolers.

Dynamic balance and explosive strength appears to better explain single leg hop test results among young elite female basketball athletes

To analyze the impact of balance, lower-limb explosive strength and anthropometric variables on the result of the hop test in young elite female basketball athletes. Ninety young elite female basketball athletes (13–17 years), without current or recent lower-limb injury, were assessed in the off-season period of July 2021. Single leg hop test, countermovement jump, Y balance test and anthropometric outcomes were assessed. A correlation study and a regression model were performed to investigate the influence of such outcomes and the value of their participation on the hop test results. It was found a low-to-moderate correlation effect size for both countermovement jump (distance and power flight) and Y balance test values (except interlimb outcomes) with the single leg hop test results. Anthropometric outcomes did not show significant correlation (p > 0.05). Regression model revealed that for right hop test, countermovement jump values exhibited an adjusted determination coefficient of 0.408, (β = 0.249, p = 0.013), For left hop test, again the countermovement jump values (β = 0.229, p = 0.025), and left Y balance test values (β = 0.331, p = 0.011) jointly obtained an adjusted determination coefficient of 0.263 significant predictive value for countermovement jump outcomes in both right (β = 0.249, p = 0.013; β = 0.301; p = 0.031) and left leg (β = 0.229, p = 0.025; β = 0.365, p = 0.040), as well as certain Y balance outcomes values. Explosive strength, and dynamic balance although to a lesser extent, appear to be the most relevant physical-functional factors influencing the single leg hop test results among young elite female basketball athletes. These findings may a serve as a basis to implement targeted interventions, such as plyometric and balance training, for an enhancement on functional rehabilitation and reducing the risk of injury related to the hop test results.

Responsiveness and construct validity of EPIC-26, AQoL-6D and SF-6D following treatment in prostate cancer

PurposeTo assess construct validity and responsiveness of the Expanded Prostate Cancer Index Composite Instrument (EPIC-26) relative to the Short-Form Six-Dimension (SF-6D) and Assessment of Quality of Life 6-Dimension (AQoL-6D) in patients following treatment for prostate cancer.MethodsRetrospective prostate cancer registry data were used. The SF-6D, AQoL-6D, and EPIC-26 were collected at baseline and one year post treatment. Analyses were based on Spearman's correlation coefficient, Bland–Altman plots and intra-class correlation coefficient, Kruskal Wallis, and Effect Size and the Standardised Response Mean for responsiveness.ResultsThe study sample was comprised of 1915 patients. Complete case analysis of 3,697 observations showed moderate evidence of convergent validity between EPIC-26 vitality/hormonal domain and AQoL-6D (r = 0.45 and 0.54) and SF-6D (r = 0.52 and 0.56) at both timepoints. Vitality/hormonal domain also showed moderate convergent validity with coping domain of AQoL-6D (r = 0.45 and 0.54) and with role (r = 0.41 and 0.49) and social function (r = 0.47 and 0.50) domains of SF-6D at both timepoints, and with independent living (r = 0.40) and mental health (r = 0.43) of AQoL-6D at one year. EPIC-26 sexual domain had moderate convergent validity with relationship domain (r = 0.42 and 0.41) of AQoL-6D at both timepoints. Both AQoL-6D and SF-6D did not discriminate between age groups and tumour stage at both timepoints but AQoL-6D discriminated between outcomes for different treatments at one year. All EPIC-26 domains discriminated between age groups and treatment at both timepoints. The EPIC-26 was more responsive than AQoL-6D and SF-6D between baseline and one year following treatment.ConclusionsAQoL-6D can be used in combination with EPIC-26 in place of SF-12. Although EPIC-26 is not utility based, its popularity amongst clinicians and ability to discriminate between disease-specific characteristics and post-treatment outcomes in clinical trials makes it a candidate for use within cost-effectiveness analyses. The generic measure provides a holistic assessment of quality of life and is suitable for generating quality adjusted life years (QALYs).

Assessing muscle strength of persons with transfemoral amputation with and without a prosthesis: A cross-sectional study.

There is a gap in the research about the influence of wearing or not wearing a prosthesis for muscle strength assessment in transfemoral amputees (TFA) and how it is associated with functional mobility. The aim of this study was to compare the muscle isometric strength of the residual limb with and without the prosthesis in people with TFA and to analyze associations between muscle strength and functional mobility. Cross-sectional study. 20 subjects with TFA were included. A handheld dynamometer was used for the assessment of residual limb muscle strength. Functional mobility was assessed with the Timed Up and Go test. The Wilcoxon rank sum test with the rank biserial correlation effect size were used. There were statistically significant differences when testing isometric strength of the residual limb with and without the prosthesis (flexion [ p = 0.007], extension [ p < 0.001], and abduction [ p = 0.003]). There was association between functional mobility and flexion and abduction strength with the prosthesis ( p = 0.005, p = 0.01). Measurements of muscle strength of the residual limb were different when assessed with and without the prosthesis. Isometric strength of the residual limb in abduction and flexion using the prosthesis were correlated with functional mobility.

Relationships between the Visual Evaluation of Soil Structure (VESS) and soil properties in agriculture: A meta-analysis

The objective of this study was to analyze the relationships between the Visual Evaluation of Soil Structure (VESS) and soil properties that make its adoption widely used in agriculture. For this, 25 papers related to the VESS (2009-2022) were considered where the information of the authors, the soil property: bulk density (BD), total soil porosity (TP), soil penetration resistance (PR), macroporosity, microporosity, soil organic carbon (SOC), and mean weight diameter of stable aggregates (MWD). The sample size (n=120 cases), and the correlation coefficient were extracted. To measure this relationship, the correlation coefficient of all studies was contemplated. A meta-analysis was carried out to obtain a global measure of the correlation between the VESS and soil properties across the studies. In the first instance, a fixed effects model was fitted for the correlation (effect size, known as the response variable in the meta-analysis). Subsequently, a random effects model was fitted for the correlation, followed by a subgroup analysis according to soil properties, due to the presence of high heterogeneity between studies. The overall effect (average correlation coefficient) of the fitted random effects model was 0.31 with a confidence interval (CI) of [0.22;0.41]. The heterogeneity between studies was high ( =94.0%) and statistically significant p&lt;0.001. Although it is moderate, the average correlation in practical terms may be sufficient. There were significant differences in some average correlations of some categories, such as BD, PR, TP, and microporosity. The weights reported for the BD, SOC, and PR were 29.7%, 16.4%, and 14.2%, respectively. This result evidenced that the greatest contribution to the global effect of correlation between VESS and soil properties is provided by BD.

Performance of methods for analyzing continuous data from stratified cluster randomized trials – A simulation study

BackgroundThe adoption of cluster randomized trials (CRTs) with the stratified design is currently gaining widespread interest. In the stratified design, clusters are first grouped into two or more strata and then randomized into treatment groups within each stratum. In this study, we evaluated the performance of several commonly used methods for analyzing continuous data from stratified CRTs. MethodsThis is a simulation study where we compared four methods: mixed-effects, generalized estimating equation (GEE), cluster-level (CL) linear regression and meta-regression methods to analyze the continuous data from stratified CRTs using a simulation study with varying numbers of clusters, cluster sizes, intra-cluster correlation coefficients (ICCs) and effect sizes. This study was based on a stratified CRT with one stratification variable with two strata. The performance of the methods was evaluated in terms of the type I error rate, empirical power, root mean square error (RMSE), and width and coverage of the 95% confidence interval (CI). ResultsGEE and meta-regression methods had high type I error rates, higher than 10%, for the small number of clusters. All methods had similar accuracy, measured through RMSE, except meta-regression. Similarly, all methods but meta-regression had similar widths of 95% CIs for the small number of clusters. For the same sample size, the empirical power for all methods decreased as the value of the ICC increased. ConclusionIn this study, we evaluated the performance of several methods for analyzing continuous data from stratified CRTs. Meta-regression was the least efficient method compared to other methods.

The relationship between grammatical knowledge and reading comprehension: A meta-analysis.

The study aimed to examine the cohesive tie effect on reading comprehension through the grammatical knowledge cognition process. The present meta-analysis examined the correlation between grammatical knowledge and reading comprehension based on empirical results published between 1998 and 2021. This study selected 86 studies with a total of 14,852 readers whose grades were grouped from primary school to university. The results showed that the overall correlation effect size between grammatical knowledge and reading comprehension was large, and the significant interaction effect of the grade group was confirmed through moderator analysis. The results suggested that the grammatical knowledge's function of the cohesive tie has a transfer effect across different text comprehension scripts.

Adaptation to High-Risk Childbearing: Extension of a Preliminary Situation-Specific Theory with Focus on Psychological State and Functional Status

Introduction: Little is known about expectant and new parents’ psychological experiences of high-risk childbearing. Objective: The paper is a report analyses of data from a Roy Adaptation Model-guided pilot study of women’s and their male partners’ adaptation to high-risk childbearing and thereby extends a preliminary situation-specific theory of adaptation to high-risk childbearing. Materials and methods: A previous paper was a comprehensive report of the results of the pilot study except for psychological state, measured by the Multiple Affect Adjective Checklist-Revised. The additional data analyses reported in this paper are for effect sizes of correlations between the Multiple Affect Adjective Checklist-Revised subscales and maternal and paternal functional status inventories. Results: Correlations of small (r = 0.1), medium (r = 0.3), and large (r = 0.5) effect sizes were found for the measures of psychological state and functional status for both women and their male partners except for psychological state positive affect and maternal functional status during the postpartum, and psychological state anxiety and paternal functional status during the postpartum. Conclusions: Overall, no substantial differences were found in psychological state and functional status for women and their male partners during pregnancy and the postpartum. The findings of this secondary data analysis constitute an extension of the preliminary situation-specific theory reported in a previously published paper.

The Relationship between Mood Symptom Severity and Perfectionism Subtypes in Mood Disorders: A Systematic Review and Meta-Analysis.

Previous research suggests that there is a link between perfectionism and symptoms of depression. This study aimed to see if different types of perfectionism are linked differently to symptoms of depression in mood disorders and if there is a relationship between perfectionism and symptoms of mania in bipolar disorder. A systematic search was conducted in the databases PsycINFO, EMBASE, Web of Science, and PubMed to find papers which examined the relationship in clinical depression and bipolar disorder. A meta-analysis pooled the correlation effect sizes for mood symptoms severity and the severity of the perfectionism subtype. Twelve papers were included in the review, with five of these being included in the meta-analysis. The meta-analysis found statistically significant positive correlations between greater severity of depression symptoms and more severe perfectionism for the following subtypes: concern over mistakes, doubts about actions, other-oriented perfectionism, parental criticism, self-oriented perfectionism, and socially prescribed perfectionism. There was no significant relationship between depression symptoms and perfectionism subtypes of organisation and personal standards. There were not enough studies reporting data for manic symptoms for the meta-analysis or for any firm conclusions to be drawn. The relationship between depression and perfectionism differs depending on the particular type of perfectionism examined. Most studies were cross-sectional and correlational, so causation cannot be inferred, and future longitudinal studies are needed.

The association of physician empathy with cancer patient outcomes: A meta-analysis.

In oncology, research remains unclear as to whether physician empathy is associated with patient outcomes. Our goal was to answer this question and explore potential moderators of the association. In this meta-analysis on adult cancer care, we excluded randomised controlled trials, and studies of survivors without active disease or involving analogue patients. Eight databases were searched, in addition to reference lists of relevant articles and grey literature. Two reviewers independently screened citations, extracted data, assessed risk of bias and graded quality of evidence by using the AXIS tool. Effect size correlations (ESr) were chosen and pooled by using a random effect model. Subgroup analyses were performed, and statistically significant variables were introduced in a meta-regression. Several methods were used to explore heterogeneity and publication biases. We included 55 articles, yielding 55 ESr (n = 12,976 patients). Physician empathy was associated with favourable patient outcomes: ESr= 0.23, 95% confidence interval (CI) (0.18to0.27), z = 9.58, p<0.001. However, heterogeneity was high, as reflected by a large prediction interval, 95% (-0.07to0.49) and I2 = 94.5%. The meta-regression explained 53% of variance. Prospective designs and physician empathy assessed by researchers, compared with patient-reported empathy, decreased ESr. Bad-news consultations, compared with all other types of clinical encounters, tended to increase ESr. Patient-reported physician empathy is significantly associated with cancer patient outcomes. However, the high heterogeneity warrants further longitudinal studies to disentangle the conditions under which physician empathy can help patients. Recommendations are proposed for future research.

Estimating the overall fraction of phenotypic variance attributed to high-dimensional predictors measured with error.

In prospective genomic studies (e.g., DNA methylation, metagenomics, and transcriptomics), it is crucial to estimate the overall fraction of phenotypic variance (OFPV) attributed to the high-dimensional genomic variables, a concept similar to heritability analyses in genome-wide association studies (GWAS). Unlike genetic variants in GWAS, these genomic variables are typically measured with error due to technical limitation and temporal instability. While the existing methods developed for GWAS can be used, ignoring measurement error may severely underestimate OFPV and mislead the design of future studies. Assuming that measurement error variances are distributed similarly between causal and noncausal variables, we show that the asymptotic attenuation factor equals to the average intraclass correlation coefficients of all genomic variables, which can be estimated based on a pilot study with repeated measurements. We illustrate the method by estimating the contribution of microbiome taxa to body mass index and multiple allergy traits in the American Gut Project. Finally, we show that measurement error does not cause meaningful bias when estimating the correlation of effect sizes for two traits.

The Effects of Teacher Relationships on Student Academic Achievement: A Second Order Meta-Analysis

This study aims to determine the correlational effect sizes between teacher relationships and student academic achievement. Teacher relationships were categorized as intrapersonal and interpersonal relationship types. Intrapersonal and interpersonal relationships are directed at different individuals. Intrapersonal relations refer to the inner life and thoughts of a teacher which are effective on the way of teaching and human relations. Interpersonal relations refer to social links between a teacher and the other people of the school community. The method of the study is second order meta-analysis. In this method, effect sizes of the first order meta-analyses are combined to get an average effect size score. Totally, 17 eligible first order meta-analyses are included in the study. The findings indicate that the correlational effect size between a positive teacher intrapersonal relationship and student academic achievement is positively small, positive teacher student relationship and student academic achievement is positively medium, a positive teacher school community relationship and student academic achievement is positively at a very large level. Also, correlational effect size representing a negative teacher intrapersonal relationship and student academic achievement is negatively medium, a negative teacher student relationship and student academic achievement is negatively small. As for moderator analyses, the variance of the effect sizes is statistically significant according to the positive relationship types and the publication types. In light of the findings some suggestions were made to improve teacher and school community relations that may help teachers and students to be more successful.

Reliability of the running vertical jump test in female team sport athletes

Injury rates to the lower limb have increased over the past 40 years, coinciding with increases in female sport participation rates. Sport specific tests such as the running vertical jump (RVJ) are utilised for injury risk profiling, however the test-retest reliability is unknown. ObjectivesThe aim of this study was to investigate the test-retest reliability of the thorax, pelvis and lower limb joint angular kinematics and kinetics for the RVJ test in female team sport athletes. DesignThree-dimensional motion capture with force plate integration was utilised as participants performed five trials on each limb on three separate days. SettingTesting occurred in a biomechanics laboratory. ParticipantsThirty-four females (Australian Rules Football = 15, Netball = 12, Soccer = 7) participated in this study. Main Outcome MeasuresIntraclass correlation coefficients (ICC), effect sizes and typical errors (TE) of segment and joint angular kinematics and kinetics were calculated. ResultsPoor to excellent reliability (ICC = −0.12 – 0.92), small to large effect sizes (0.00–0.90) and TE (0.02–289.24) were observed across segment and joint angular kinematics and kinetics. ConclusionsThe RVJ test is recommended when analysing ground reaction forces and joint angular kinematics in female team sport athletes.

Polygenic risk scores and brain structures both contribute to externalizing behavior in childhood - A study in the Adolescent Brain and Cognitive Development (ABCD) cohort

IntroductionExternalizing behaviors are defined as behaviors violating social norms and can be harmful to self and others. Predicting the escalation of externalizing behaviors in children would allow for early interventions to prevent the occurrence of antisocial and criminal acts. Externalizing behaviors are heritable traits, and have been associated with structures of the brain. Brain structure, in turn, is also influenced by genetics. Here, we investigated the association of genetic and brain structural variation with externalizing behaviors in late childhood, and we assessed potential mediating effects. MethodsData was collected for 11,878 children aged 9–10 years old from the Adolescent Brain Cognitive Development (ABCD) cohort. We extracted data on externalizing behaviors measured by the parent-reported Child Behavior Checklist (CBCL), brain volumes and white matter integrity measured by magnetic resonance imaging (MRI), and polygenic risk scores (PRS) for (i) antisocial behaviors, (ii) attention-deficit/hyperactivity disorder comorbid with disruptive behavior disorder (ADHD ​+ ​DBD), (iii) irritability, and (iv) traits related to self-regulation & addiction. We examined the associations between brain structures, PRS, and externalizing behavior, and to what extent brain structures mediate the association between PRS and externalizing behavior. Phenotypic associations between brain structures and externalizing behaviors were validated in an independent cohort of 150 adolescents aged 12–21 years enriched for individuals with antisocial behavior. ResultsIncreasing levels of externalizing behaviors were associated with reduced total brain and focal gray matter volumes, but not with white matter integrity. These results could not be validated in the independent cohort, except for a good correlation of several effect sizes between the cohorts. Higher PRS for externalizing behaviors were associated with lower cortical gray matter volume, larger subcortical gray matter volume, larger white matter volume, and reduced global white matter fractional anisotropy. Genetic and brain structural variation, combined with sociodemographic factors, explained up to 7% of variation in externalizing behaviors in late childhood; brain structures and PRS each explained up to ∼0.5% of variation. A multivariate model with all sociodemographic factors, brain structures and PRS combined explained up to 11.9% (+5%). Total cortical gray matter volume mediated the association between PRS for ADHD ​+ ​DBD and externalizing behavior in late childhood. However, a large proportion of individual variation in externalizing behavior remained unidentified (∼90%). Brain function and interaction effects with the environment are surmised as potential sources of additional variation.