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Research

Increasing diversity within the Global Lung Function Initiative

The Global Lung Function Initiative has worked to develop all‐age, multi‐ethnic reference equations for the major clinical lung function tests

Research

Risk factors for hospitalizations associated with depression among women duringthe years around a birth: a retrospective cohort study

Results provide preliminary evidence that barriers to treating depression with anti-depressants in mothers from low income areas during the years around a birth

Research

The role of coping in the association between subclinical psychotic experiences and functioning: A within study replication in two independent adolescent samples

The within study replication consistently found that coping style mediates subclinical psychotic experiences and psychosocial functioning

Research

Association of maternal prenatal smoking GFI1-locus and cardio-metabolic phenotypes in 18,212 adults

Epigenetic changes at the GFI1 were linked to smoking exposure in-utero/in-adulthood and robustly associated with cardio-metabolic risk factors

Research

Investigation of group A Streptococcus immune responses in an endemic setting, with a particular focus on J8

We analysed the stimulation of J8 antibodies in response to infection, and the role of existing J8 antibodies in protection against subsequent infection

Research

Applications of Immunopharmacogenomics: Predicting, Preventing, and Understanding Immune-Mediated Adverse Drug Reactions

In this review, we present the latest evidence for human leukocyte antigen associations with Immune-mediated adverse drug reactions

Research

Atopy-dependent and independent immune responses in the heightened severity of atopics to respiratory viral infections: Rat model studies

The co-exposure responses in the Th2high BN incorporated type I interferon/Th1, alternative macrophage activation/Th2 and Th17 signatures

Research

Predicting language difficulties in middle childhood from early developmental milestones: A comparison of traditional regression and machine learning techniques

The current study provides preliminary evidence that machine learning algorithms provide equivalent predictive accuracy to traditional methods for language difficulties in middle childhood