Acute respiratory distress syndrome (ARDS) is a severe inflammatory process of the lung, often due to sepsis, and poses significant mortality burden in intensive care units. Here we conducted a genome Show more
Acute respiratory distress syndrome (ARDS) is a severe inflammatory process of the lung, often due to sepsis, and poses significant mortality burden in intensive care units. Here we conducted a genome-wide association study (GWAS) of ARDS to identify genetic risk loci that can help guide the development of new therapeutic options. We performed a case-control GWAS in 716 cases with ARDS, mainly associated with severe infections, and 4399 at-risk controls from three independent studies. Results were meta-analysed across the three studies, with significance set at p < 5 × 10 We identified a variant near HMGCR that showed genome-wide significant association with ARDS and had been previously linked to cholesterol metabolism. This locus was associated with ANKDD1B expression in artery. The rare exonic variant analysis showed associations between HMGCR and ARDS at nominal level (p < 0.05). While no nominal significance was achieved in the two additional validation cohorts, this variant exhibited a consistent direction of effects across all 5 studies. A common variant near HMGCR was associated with ARDS risk, suggesting a link between cholesterol metabolism and ARDS risk. Validation in independent studies is needed. Wellcome Trust, National Institute for Health Research Leicester Biomedical Research Centre, National Heart, Lung, and Blood Institute, ATS Research Program, Gobierno de Canarias, Fundación Canaria Instituto de Investigación Sanitaria de Canarias, Instituto Tecnológico y de Energías Renovables, Cabildo Insular de Tenerife, Instituto de Salud Carlos III, Agencia Estatal de Investigación, German Ministry of Education and Research, Thuringian Ministry of Education, Science and Culture, the Thuringian Foundation for Technology, Innovation, and Research, German Sepsis Society. Show less
Hundreds of genetic associations for asthma have been identified, yet translating these findings into mechanistic insights remains challenging. We leveraged plasma proteomics from the UK Biobank Pharm Show more
Hundreds of genetic associations for asthma have been identified, yet translating these findings into mechanistic insights remains challenging. We leveraged plasma proteomics from the UK Biobank Pharma Proteomics Project (UKB-PPP) to identify biomarkers and effectors of asthma risk or heterogeneity using genetic causal inference approaches. We identified 609 proteins associated with asthma status (269 proteins after controlling for body mass index [BMI] and smoking). Analysis of genetically predicted protein levels identified 70 proteins with putative causal roles in asthma risk, including known drug targets and proteins without prior genetic evidence in asthma (e.g., GCHFR, TDRKH, and CLEC7A). The genetic architecture of causally associated proteins provided evidence for a Toll-like receptor (TLR)1-interleukin (IL)-27 asthma axis. Lastly, we identified evidence of causal relationships between proteins and heterogeneous aspects of asthma biology, including between TSPAN8 and neutrophil counts. These findings illustrate that integrating biobank-scale genetics and plasma proteomics can provide a framework to identify therapeutic targets and mechanisms underlying disease risk and heterogeneity. Show less