Skip to content
The Kids Research Institute Australia logo
Donate

Search

Genomic analyses in Cornelia de Lange Syndrome and related diagnoses: Novel candidate genes, genotype–phenotype correlations and common mechanisms

Cornelia de Lange Syndrome (CdLS) is a rare, dominantly inherited multisystem developmental disorder characterized by highly variable manifestations of growth and developmental delays, upper limb involvement, hypertrichosis, cardiac, gastrointestinal, craniofacial, and other systemic features.

Prevalence and characteristics of paediatric X-linked hypophosphataemia in Australia and New Zealand: Results from the Australian and the New Zealand Paediatric Surveillance Units survey

X-linked hypophosphataemia (XLH) is the most common heritable form of rickets. Prevalence data varies across the literature between 1 in 20,000 and 1 in 200,000 per population.

Making a SmartStart for peanut introduction to support food allergy prevention guidelines for infants

Food allergy affects up to 10% of Australian infants. It was hypothesized that if parents follow the Australasian Society of Clinical Immunology and Allergy guidelines, Australian food allergy rates may stabilize or decline.

A modelling approach to estimate the transmissibility of SARS-CoV 2 during periods of high, low, and zero case incidence

Against a backdrop ofwidespread global transmission, a number of countries have successfully brought large outbreaks of COVID-19 under control and maintained near-elimination status. A key element of epidemic response is the tracking of disease transmissibility in near real-time. During major out-breaks, the effective reproduction number can be estimated froma time-series of case, hospitalisation or death counts. In low or zero incidence settings, knowing the potential for the virus to spread is a response priority.

Reliability of Fitness Assessments in Children With Emotional and Behavioral Difficulties

Examine the reliability of field-based fitness assessments in school-aged children with emotional or behavioral difficulties (EBD). Understanding the impact of fitness on physical activity participation for children with EBD is limited by our ability to reliably measure it.

Arsenic and respiratory disease

Arsenic is the only environmental toxin that has been linked to both malignant and nonmalignant respiratory disease following ingestion, rather than inhalation, making arsenic a unique toxicant to the respiratory system. Chronic exposure to arsenic has been associated with the development of respiratory symptoms, impaired lung function, and chronic lung disease.

Murru Minya-informing the development of practical recommendations to support ethical conduct in Aboriginal and Torres Strait Islander health research: a protocol for a national mixed-methods study

Conducting ethical and high-quality health research is crucial for informing public health policy and service delivery to reduce the high and inequitable burden of disease experienced by Aboriginal and Torres Strait Islander people.

ADR3, a next generation i-body to human RANKL, inhibits osteoclast formation and bone resorption

Osteoporosis is a chronic skeletal condition characterized by low bone mass and deteriorated microarchitecture of bone tissue and puts tens of millions of people at high risk of fractures. New therapeutic agents like i-bodies, a class of next-generation single-domain antibodies, are needed to overcome some limitations of conventional treatments.

Airway and parenchyma transcriptomics in a house dust mite model of experimental asthma

Lung transcriptomics studies in asthma have provided valuable information in the whole lung context, however, deciphering the individual contributions of the airway and parenchyma in disease pathogenesis may expedite the development of novel targeted treatment strategies. In this study, we performed transcriptomics on the airway and parenchyma using a house dust mite (HDM)-induced model of experimental asthma that replicates key features of the human disease.

Expanding Tidy Data Principles to Facilitate Missing Data Exploration, Visualization and Assessment of Imputations

Despite the large body of research on missing value distributions and imputation, there is comparatively little literature with a focus on how to make it easy to handle, explore, and impute missing values in data. This paper addresses this gap. The new methodology builds upon tidy data principles, with the goal of integrating missing value handling as a key part of data analysis workflows.