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Genetic overlap study between idiopathic pulmonary fibrosis and COVID-19
European Journal of Human Genetics ; 31(Supplement 1):696-697, 2023.
Article in English | EMBASE | ID: covidwho-20236332
ABSTRACT
Background/

Objectives:

Genetic factors influence COVID-19 susceptibility and outcomes, including the development of pulmonary fibrosis (i.e. lung scarring). Idiopathic pulmonary fibrosis (IPF) is a progressive lung disease and the most common cause of pulmonary fibrosis in the general population. Genome-wide association studies (GWAS) of COVID-19 and IPF revealed genes associated with both diseases, suggesting these share genetic risk factors. Here we performed a genetic overlap study between COVID-19 and IPF. Method(s) Summary statistics from an IPF 5-way meta-GWAS and from the COVID-19 Host Genetics initiative GWAS metaanalysis (v6) were used. We performed genetic correlation analyses and assessed individual genetic signals to identify those variants shared between both traits. We conducted colocalisation analyses to determine whether the same causal variant was driving both traits. Finally, the association of overlapping variants with gene expression was assessed and a phenome-wide association study was performed. Result(s) There was a positive genetic correlation between severe COVID-19 and IPF. We found four genetic loci with likely shared causal variants between both traits, including one novel risk locus at 7q22.1 that colocalised with decreased ZKSCAN1 and TRIM4 expression in blood. The other three loci colocalised with MUC5B, ATP11A and DPP9 expression. The locus associated with increased ATP11A expression was also associated with higher Hb1AC levels, a biomarker used in diabetes. Conclusion(s) Results suggest there are shared biological processes driving IPF and severe COVID-19 phenotypes.
Keywords

Full text: Available Collection: Databases of international organizations Database: EMBASE Type of study: Prognostic study / Reviews Topics: Variants Language: English Journal: European Journal of Human Genetics Year: 2023 Document Type: Article

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Full text: Available Collection: Databases of international organizations Database: EMBASE Type of study: Prognostic study / Reviews Topics: Variants Language: English Journal: European Journal of Human Genetics Year: 2023 Document Type: Article