Mother-adolescent communication and father-adolescent communication: Analyzing a 4-week family intervention using multi-informant data.

Families manage daily conflict through communication and healthy family communication is critical to promoting better family relationships and youth adjustment. Community families without high-risk factors, such as domestic dispute or clinical problems, are no less affected by the ramifications of poor communication and conflict management. However, there is limited translational research on community families analyzing the changes in parent-adolescent communication quality.

Testing a Family Conflict Intervention for Parents and Typically Developing Adolescent Siblings of Individuals with Intellectual and/or Developmental Disabilities.

Parents and typically developing (TD) youth siblings of individuals with intellectual and/or developmental disabilities (IDD) often experience greater caregiving burden, stress, and hardships in family functioning. They are at increased risk of family conflict and youth adjustment problems when TD siblings are adolescents since they need to balance caregiving responsibilities and various changes that naturally occur during adolescence. However, there is a lack of intervention research on parents and TD adolescent siblings that focuses on family conflict and family-wide participation.

Outcome of extra-nodal follicular lymphoma affected by choice of induction chemoimmunotherapy and maintenance rituximab - real-world retrospective study.

The importance of extra-nodal disease has been well recognized in follicular lymphoma, and is incorporated into various prognostic tools. However, the optimal treatment strategy for this subgroup remains unclear. In this multicenter retrospective study, we analyzed 143 patients who received either R-CHOP or Bendamustine-Rituximab (BR), with a median follow-up of 69.

UniVar: A variant interpretation platform enhancing rare disease diagnosis through robust filtering and unified analysis of SNV, INDEL, CNV and SV.

Background: Interpreting the pathogenicity of genetic variants associated with rare diseases is a laborious and time-consuming endeavour. To streamline the diagnostic process and lighten the burden of variant interpretation, it is crucial to automate variant annotation and prioritization. Unfortunately, currently available variant interpretation tools lack a unified and comprehensive workflow that can collectively assess the clinical significance of these types of variants together: small nucleotide variants (SNVs), small insertions/deletions (INDELs), copy number variants (CNVs) and structural variants (SVs).