Parental Conflicts and Posttraumatic Stress of Children in High-Conflict Divorce Families

Parental conflicts consistently predict negative outcomes for children. Research suggests that children from high-conflict divorces (HCD) may also experience post-traumatic stress symptoms (PTSS), yet little is known about the association between parental conflicts in HCD families and child PTSS. We investigated this association, hypothesizing that parental conflicts would predict child PTSS. We also tested the moderating role of interparental contact frequency, hypothesizing that frequent contact would intensify the association between parental conflicts and child PTSS. This study was part of an observational study on the outcomes of No Kids in the Middle (NKM), a multi-family group intervention for HCD families. A total of 107 children from 68 families participated in the study with at least one parent. We used pre- (T1) and post-intervention (T2) data. Research questions were addressed cross-sectionally, using regression analyses to predict PTSS at T1, and longitudinally, using a correlated change (T1 to T2) model. The cross-sectional findings suggested that mother- and child-reported conflicts, but not father-reported conflicts, were related to the severity of child PTSS. Longitudinally, we found that change in father-reported conflicts, but not change in child- or mother-reported conflicts, were related to change in child PTSS. The estimated associations for the different informants were not significantly different from one another. The frequency of contact between ex-partners did not moderate the relationship between parental conflicts and child PTSS. We conclude that there is a positive association between parental conflicts and child PTSS in HCD families independent of who reports on the conflicts

Are intense negative emotions a risk for complex divorces? An examination of the role of emotions in divorced parents and co-parenting concerns

In this study, we examined whether regular divorces can be distinguished from complex divorces by measuring the intensity of negative emotions that divorced parents report when thinking about their ex-partner. We recruited two groups of parents: n = 136 in a regular divorce, and n = 191 in a complex divorce. Based on the existing literature, we predicted that parents in complex divorces experience more intense negative emotions than parents in regular divorces; especially emotions that motivate emotional distancing (contempt, disgust, anger, hatred, and rage) and emotions that impair self-regulation (fear, shame, guilt, and sadness). We also predicted that these emotions would hamper co-parenting, particularly in complex divorces. The results provided support for our predictions, except for fear and sadness. We found that parents in a complex divorce reported more co-parenting concerns than parents in a regular divorce. In contrast to our expectations, the relation between negative emotions and coparenting concerns was stronger among parents in a regular divorce than in a complex divorce. These findings underline the importance of emotions in the divorce trajectory and suggest that especially the intensity of emotional distancing emotions may serve as a screening tool to identify parents at risk for a complex divorce

NEOnatal Central-venous Line Observational study on Thrombosis (NEOCLOT): Evaluation of a national guideline on management of neonatal catheter-related thrombosis

Background: In critically ill (preterm) neonates, central venous catheters (CVCs) are increasingly used for administration of medication or parenteral nutrition. A serious complication, however, is the development of catheter-related thrombosis (CVC-thrombosis), which may resolve by itself or cause severe complications. Due to lack of evidence, management of neonatal CVC-thrombosis varies among neonatal intensive care units (NICUs). In the Netherlands an expert-based national management guideline has been developed which is implemented in all 10 NICUs in 2014. Methods: The NEOCLOT study is a multicentre prospective observational cohort study, including 150 preterm and term infants (0-6 months) admitted to one of the 10 NICUs, developing CVC-thrombosis. Patient characteristics, thrombosis characteristics, risk factors, treatment strategies and outcome measures will be collected in a web-based database. Management of CVC-thrombosis will be performed as recommended in the protocol. Violations of the protocol will be noted. Primary outcome measures are a composite efficacy outcome consisting of death due to CVC-thrombosis and recurrent thrombosis, and a safety outcome consisting of the incidence of major bleedings during therapy. Secondary outcomes include individual components of primary efficacy outcome, clinically relevant non-major and minor bleedings and the frequency of risk factors, protocol variations, residual thrombosis and post thrombotic syndrome. Discussion: The NEOCLOT study will evaluate the efficacy and safety of the new, national, neonatal CVC-thrombosis guideline. Furthermore, risk factors as well as long-term consequences of CVC-thrombosis will be analysed

Heritability estimates for 361 blood metabolites across 40 genome-wide association studies

Metabolomics examines the small molecules involved in cellular metabolism. Approximately 50% of total phenotypic differences in metabolite levels is due to genetic variance, but heritability estimates differ across metabolite classes. We perform a review of all genome-wide association and (exome-) sequencing studies published between November 2008 and October 2018, and identify >800 class-specific metabolite loci associated with metabolite levels. In a twin-family cohort (N = 5117), these metabolite loci are leveraged to simultaneously estimate total heritability (h2 total), and the proportion of heritability captured by known metabolite loci (h2 Metabolite-hits) for 309 lipids and

Genome-wide analyses identify a role for SLC17A4 and AADAT in thyroid hormone regulation.

Thyroid dysfunction is an important public health problem, which affects 10% of the general population and increases the risk of cardiovascular morbidity and mortality. Many aspects of thyroid hormone regulation have only partly been elucidated, including its transport, metabolism, and genetic determinants. Here we report a large meta-analysis of genome-wide association studies for thyroid function and dysfunction, testing 8 million genetic variants in up to 72,167 individuals. One-hundred-and-nine independent genetic variants are associated with these traits. A genetic risk score, calculated to assess their combined effects on clinical end points, shows significant associations with increased risk of both overt (Graves' disease) and subclinical thyroid disease, as well as clinical complications. By functional follow-up on selected signals, we identify a novel thyroid hormone transporter (SLC17A4) and a metabolizing enzyme (AADAT). Together, these results provide new knowledge about thyroid hormone physiology and disease, opening new possibilities for therapeutic targets

Multi-trait analysis characterizes the genetics of thyroid function and identifies causal associations with clinical implications

To date only a fraction of the genetic footprint of thyroid function has been clarified. We report a genome-wide association study meta-analysis of thyroid function in up to 271,040 individuals of European ancestry, including reference range thyrotropin (TSH), free thyroxine (FT4), free and total triiodothyronine (T3), proxies for metabolism (T3/FT4 ratio) as well as dichotomized high and low TSH levels. We revealed 259 independent significant associations for TSH (61% novel), 85 for FT4 (67% novel), and 62 novel signals for the T3 related traits. The loci explained 14.1%, 6.0%, 9.5% and 1.1% of the total variation in TSH, FT4, total T3 and free T3 concentrations, respectively. Genetic correlations indicate that TSH associated loci reflect the thyroid function determined by free T3, whereas the FT4 associations represent the thyroid hormone metabolism. Polygenic risk score and Mendelian randomization analyses showed the effects of genetically determined variation in thyroid function on various clinical outcomes, including cardiovascular risk factors and diseases, autoimmune diseases, and cancer. In conclusion, our results improve the understanding of thyroid hormone physiology and highlight the pleiotropic effects of thyroid function on various diseases

A Meta-Analysis of Thyroid-Related Traits Reveals Novel Loci and Gender-Specific Differences in the Regulation of Thyroid Function

Peer reviewe

New genetic loci link adipose and insulin biology to body fat distribution.

Body fat distribution is a heritable trait and a well-established predictor of adverse metabolic outcomes, independent of overall adiposity. To increase our understanding of the genetic basis of body fat distribution and its molecular links to cardiometabolic traits, here we conduct genome-wide association meta-analyses of traits related to waist and hip circumferences in up to 224,459 individuals. We identify 49 loci (33 new) associated with waist-to-hip ratio adjusted for body mass index (BMI), and an additional 19 loci newly associated with related waist and hip circumference measures (P < 5 × 10(-8)). In total, 20 of the 49 waist-to-hip ratio adjusted for BMI loci show significant sexual dimorphism, 19 of which display a stronger effect in women. The identified loci were enriched for genes expressed in adipose tissue and for putative regulatory elements in adipocytes. Pathway analyses implicated adipogenesis, angiogenesis, transcriptional regulation and insulin resistance as processes affecting fat distribution, providing insight into potential pathophysiological mechanisms