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Background: Urinary nitrogen leakage is an environmental concern in dairy cattle. Selection for reduced urinary nitrogen leakage may be done using indicator traits such as milk urea nitrogen (MUN). The result of a previous study indicated that the genetic correlation between MUN in Australia (AUS) and MUN in New Zealand (NZL) was only low to moderate (between 0.14 and 0.58). In this context, an alternative is to select sequence variants based on genome-wide association studies (GWAS) with a view to improve genomic prediction accuracies. A GWAS can also be used to detect quantitative trait loci (QTL) associated with MUN. Therefore, our objectives were to perform within-country GWAS and a meta-GWAS for MUN using records from up to 33,873 dairy cows and imputed whole-genome sequence data, to compare QTL detected in the GWAS for MUN in AUS and NZL, and to use sequence variants selected from the meta-GWAS to improve the prediction accuracy for MUN based on a joint AUS-NZL reference set., Results: Using the meta-GWAS, we detected 14 QTL for MUN, located on chromosomes 1, 6, 11, 14, 19, 22, 26 and the X chromosome. The three most significant QTL encompassed the casein genes on chromosome 6, PAEP on chromosome 11 and DGAT1 on chromosome 14. We selected 50,000 sequence variants that had the same direction of effect for MUN in AUS and MUN in NZL and that were most significant in the meta-analysis for the GWAS. The selected sequence variants yielded a genetic correlation between MUN in AUS and MUN in NZL of 0.95 and substantially increased prediction accuracy in both countries., Conclusions: Our results demonstrate how the sharing of data between two countries can increase the power of a GWAS and increase the accuracy of genomic prediction using a multi-country reference population and sequence variants selected based on a meta-GWAS., (© 2022. The Author(s).)

Objective: To develop psychometrically an evidence-based, patient-centred measure of patient-practitioner communication. We explored the underlying constructs of a self-report questionnaire measuring adult patients' enduring perceptions of their emotional experiences when communicating with primary healthcare practitioners., Methods: A cross-sectional on-line survey included 16 items from a piloted questionnaire, as well as existing measures of generalised anxiety, psychological distress, and body vigilance. Exploratory factor analysis and hierarchical multiple regression were used to explore underlying constructs in an Australian sample (N = 220)., Results: A 6-item communication distress factor and a 3-item environmental arousal factor were supported, indicating good face validity and internal consistency. Bivariate correlations support convergent and discriminant validity for both factors. Hierarchical analysis exploring predictors of communication distress included sex, age, and chronic condition status; and scores on body vigilance, anxiety, distress, and environmental arousal in healthcare. Environmental arousal was the most important significant predictor of communication distress., Conclusion: The patient communication questionnaire can be developed into a brief scale to measure patient distress associated with engaging with, and communicating in, healthcare settings., Practice Implications: A brief self-report measure to identify patients' communication distress and environmental arousal could assist in clinical practice and provide useful data in healthcare communication research., Competing Interests: Declaration of Competing Interest None., (Copyright © 2020 Elsevier B.V. All rights reserved.)