Recombination affects allele-specific expression of deleterious variants in human populations.

How the genetic composition of a population changes through stochastic processes, such as genetic drift, in combination with deterministic processes, such as selection, is critical to understanding how phenotypes vary in space and time. Here, we show how evolutionary forces affecting selection, including recombination and effective population size, drive genomic patterns of allele-specific expression (ASE). Integrating tissue-specific genotypic and transcriptomic data from 1500 individuals from two different cohorts, we demonstrate that ASE is less often observed in regions of low recombination, and loci in high or normal recombination regions are more efficient at using ASE to underexpress harmful mutations. By tracking genetic ancestry, we discriminate between ASE variability due to past demographic effects, including subsequent bottlenecks, versus local environment. We observe that ASE is not randomly distributed along the genome and that population parameters influencing the efficacy of natural selection alter ASE levels genome wide.

Polygenic risk scores predict diabetes complications and their response to intensive blood pressure and glucose control.

AIMS/HYPOTHESIS: Type 2 diabetes increases the risk of cardiovascular and renal complications, but early risk prediction could lead to timely intervention and better outcomes. Genetic information can be used to enable early detection of risk. METHODS: We developed a multi-polygenic risk score (multiPRS) that combines ten weighted PRSs (10 wPRS) composed of 598 SNPs associated with main risk factors and outcomes of type 2 diabetes, derived from summary statistics data of genome-wide association studies. The 10 wPRS, first principal component of ethnicity, sex, age at onset and diabetes duration were included into one logistic regression model to predict micro- and macrovascular outcomes in 4098 participants in the ADVANCE study and 17,604 individuals with type 2 diabetes in the UK Biobank study. RESULTS: The model showed a similar predictive performance for cardiovascular and renal complications in different cohorts. It identified the top 30% of ADVANCE participants with a mean of 3.1-fold increased risk of major micro- and macrovascular events (p = 6.3 × 10-21 and p = 9.6 × 10-31, respectively) and a 4.4-fold (p = 6.8 × 10-33) higher risk of cardiovascular death. While in ADVANCE overall, combined intensive blood pressure and glucose control decreased cardiovascular death by 24%, the model identified a high-risk group in whom it decreased the mortality rate by 47%, and a low-risk group in whom it had no discernible effect. High-risk individuals had the greatest absolute risk reduction with a number needed to treat of 12 to prevent one cardiovascular death over 5 years. CONCLUSIONS/INTERPRETATION: This novel multiPRS model stratified individuals with type 2 diabetes according to risk of complications and helped to target earlier those who would receive greater benefit from intensive therapy.

A real-time PCR assay to accurately quantify polar bear DNA in fecal extracts.

DNA extracted from fecal samples contains DNA from the focal species, food, bacteria and pathogens. Most DNA quantification methods measure total DNA and cannot differentiate among sources. Despite the desirability of noninvasive fecal sampling for studying wildlife populations, low amounts of focal species DNA make it difficult to use for next-generation sequencing (NGS), where accurate DNA quantification is critical for normalization. Two factors are required prior to using fecal samples in NGS libraries: (1) an accurate quantification method for the amount of target DNA and (2) a determination of the relative amount of target DNA needed for successful single nucleotide polymorphism genotyping assays. Here, we address these needs by developing primers to amplify a 101 bp region of the nuclear F2 gene and a quantitative PCR (qPCR) assay that allows the accurate quantification of the amount of polar bear (Ursus maritimus) DNA in fecal extracts. We test the assay on pure polar bear DNA extracted from muscle tissue and find a high correlation between fluorometric and qPCR quantifications. The qPCR assay was also successfully used to quantify the amount of DNA derived from polar bears in fecal extractions. Orthologs of the F2 gene have been identified across vertebrates; thus, similar qPCR assays could be developed for other species to enable noninvasive studies.

Mental health services for preschool children in primary care: a survey of maternal attitudes and beliefs.

OBJECTIVE: This study examined maternal attitudes and practices that may prevent preschoolers from receiving needed mental health services. METHODS: Mothers of 110 children ages 3-6 completed a survey of maternal attitudes and practices and the Eyberg Child Behavior Inventory (ECBI). RESULTS: Mothers wanted pediatrician assistance with child behavior concerns. Mothers of children with elevated ECBI scores reported most often discussing disruptive behaviors with their pediatrician, and preferred clinician-provided services, whereas mothers of children with normal range ECBI scores most often discussed developmental issues with the pediatrician and preferred parenting help from handouts and books. Mothers reported receiving clinician-provided services almost never. CONCLUSIONS: Mothers were open to psychosocial services for child behavior problems, particularly via primary care, and ratings of barriers were relatively low despite reporting infrequent service use. Mothers' responses highlight the need for mental health providers in primary care to ensure accessibility of desired services.

Parent and teacher SNAP-IV ratings of attention deficit hyperactivity disorder symptoms: psychometric properties and normative ratings from a school district sample.

To examine Swanson, Nolan, and Pelham-IV (SNAP-IV) psychometric properties, parent (N = 1,613) and teacher (N = 1,205) data were collected from a random elementary school student sample in a longitudinal attention deficit hyperactivity disorder (ADHD) detection study. SNAP-IV reliability was acceptable. Factor structure indicated two ADHD factors and an oppositional defiant disorder (ODD) factor. Parent and teacher scores varied by gender and poverty status (d = .49-.56) but not age; only teacher scores varied by race (d = .25-.55). Screening and diagnostic utility was evaluated with likelihood ratios (LRs) and posttest probabilities. Parent SNAP-IV scores above 1.2 increased probability of concern (LR > 10) and above 1.8, of ADHD diagnosis (LR > 3). Teacher hyperactivity/impulsivity scores above 1.2 and inattention scores above 1.8 increased probabilities of concern only (LR = 4.2 and >5, respectively). Higher teacher scores for African American children and race differences in measurement models require future study.

Child-directed interaction: prediction of change in impaired mother-child functioning.

The first phase of parent-child interaction therapy (PCIT), called child-directed interaction, teaches parents to use positive and differential social attention to improve the parent-child relationship. This study examined predictors of change in mother and child functioning during the child-directed interaction for 100 mother-child dyads. The children were 3-6-years-old and diagnosed with oppositional defiant disorder. After establishing that significant improvements occurred in mother report of child disruptive behavior, parenting stress, and parenting practices, these three variables were combined to form a latent impaired mother-child functioning construct. Structural equation models were examined using maternal demographic and psychosocial variables as predictors of impaired mother-child functioning before and after the child-directed interaction. Mothers' self-reported daily hassles and depressive symptomatology predicted 74% of variance in impaired mother-child functioning before treatment. Mothers' report of social support predicted impaired mother-child functioning after the child-directed interaction, with 57% of the variance accounted for in this longitudinal model. These findings suggest the importance of improving maternal social support during the initial phase of PCIT.

Therapist verbal behavior early in treatment: relation to successful completion of parent-child interaction therapy.

We examined the role of specific therapist verbal behaviors in predicting successful completion of Parent-Child Interaction Therapy (PCIT) in 22 families, including 11 families that successfully completed treatment and 11 that discontinued treatment prematurely. The children were 3 to 6 years old and diagnosed with oppositional defiant disorder (ODD). Chamberlain et al.'s (1986) Therapy Process Code (TPC) was used to measure therapist verbalizations during therapist-parent interactions during the initial clinical interview and the second treatment session. Results indicated that therapists' use of the categories Question, Facilitate, and Support during these sessions accurately predicted treatment dropout versus completion for 73% of families. Findings suggest that the early therapist-parent relationship in PCIT may be critical to successful treatment completion.