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Hospitalizations from Birth to 28 Years in a Population Cohort of Individuals Born with Five Rare Craniofacial Anomalies in Western Australia

To describe trends, age-specific patterns, and factors influencing hospitalizations for 5 rare craniofacial anomalies.

What’s in a name?

In WA, 60,000 kids live with a rare disease, and of those about half do not have a diagnosis. At The Kids, researchers are leading the charge in developing a method to identify genetic variations, so that kids like Charlotte can get answers.

CRISPR-Cas9-generated PTCHD1 2489T>G stem cells recapitulate patient phenotype when undergoing neural induction

An estimated 3.5%-5.9% of the global population live with rare diseases, and approximately 80% of these diseases have a genetic cause. Rare genetic diseases are difficult to diagnose, with some affected individuals experiencing diagnostic delays of 5-30 years. Next-generation sequencing has improved clinical diagnostic rates to 33%-48%. In a majority of cases, novel variants potentially causing the disease are discovered. 

Epidemiology of Hospital Admissions for Craniosynostosis in Australia: A Population-Based Study

To describe trends, age, and sex-specific patterns of population hospital admissions with a diagnosis of craniosynostosis (CS) in Australia. Population data for hospital separations (in-patient) from public and private hospitals (July 1996-June 2018) were obtained from the publicly available Australian Institute of Health and Welfare (AIHW) National Hospital Morbidity Database.

An expanded phenotype centric benchmark of variant prioritisation tools

Identifying the causal variant for diagnosis of genetic diseases is challenging when using next-generation sequencing approaches and variant prioritization tools can assist in this task. These tools provide in silico predictions of variant pathogenicity, however they are agnostic to the disease under study. We previously performed a disease-specific benchmark of 24 such tools to assess how they perform in different disease contexts.

Association between craniofacial anomalies, intellectual disability and autism spectrum disorder: Western Australian population-based study

Accurate knowledge of the relationship between craniofacial anomalies (CFA), intellectual disability (ID) and autism spectrum disorder (ASD) is essential to improve services and outcomes. The aim is to describe the association between CFA, ID and ASD using linked population data.

Translational Intelligence

The aim of the Translational Intelligence team is to understand how individual bases in our genome predispose, alter and interact in normal and disease contexts.