Publications by authors named "O Bakker"
Introduction: The 2019 Global Vascular Guidelines recommend risk assessment for evidence based revascularization based on the acronym PLAN; Patient risk, Limb severity and ANatomical complexity of disease. This meta-analysis compares a multitude of prognostic tests within these categories.
Methods: A systematic review and meta-analysis of tests that estimated 1 year major event (amputation free survival and major adverse limb events) probability.
Article Synopsis
- Genetic variants found in GWAS are mostly non-coding and have subtle effects on genes, while Mendelian disease variants are coding and directly influence diseases.
- The study connects common and rare genetic diseases by analyzing how common variants affect gene co-expression across various tissues, using a tool called Downstreamer on 88 GWAS traits.
- Key findings show that important downstream genes related to common traits, like height, are often linked to Mendelian disease genes, with many being located outside GWAS loci, indicating complex regulatory interactions.
Objective: The prevalence of chronic limb threatening ischaemia (CLTI) is increasing worldwide, resulting in the need for more patients to undergo revascularisation, especially for below the knee pathology. Nevertheless, prospective data on below the knee endovascular interventions are lacking. The aim of the study was to provide large scale, real world data on procedural and short term outcomes of popliteal and infrapopliteal endovascular interventions in patients with CLTI.
View Article and Find Full Text PDFChronic obstructive pulmonary disease (COPD) is among prevalent occupational diseases, causing early retirement and disabilities. This paper looks into occupational-related COPD prevention and intervention in the workplace for Industry 4.0-compliant occupation health and safety management.
View Article and Find Full Text PDFArticle Synopsis
- The study explores the complex genetic background of cancer, focusing on the connection between somatic mutations and germline risk factors from genome-wide association studies (GWAS).
- Researchers analyzed co-expression patterns of genes identified in GWAS for various cancers, finding that many of these genes are significant in their relationship with known cancer driver genes.
- The findings suggest that tissue-specific co-expression networks can explain how different sets of genes—those with germline risk factors and those with somatic mutations—can lead to the same type of cancer, thus bridging the gap between these two genetic influences.