Publications by authors named "Morgan O Obura"
Background: Genetic variants within nearly 1000 loci are known to contribute to modulation of blood lipid levels. However, the biological pathways underlying these associations are frequently unknown, limiting understanding of these findings and hindering downstream translational efforts such as drug target discovery.
Results: To expand our understanding of the underlying biological pathways and mechanisms controlling blood lipid levels, we leverage a large multi-ancestry meta-analysis (N = 1,654,960) of blood lipids to prioritize putative causal genes for 2286 lipid associations using six gene prediction approaches.
Article Synopsis
- Researchers studied the genetic connections to blood fats using data from 1.6 million people from different backgrounds to understand why certain fats are higher or lower in the body.
- They looked at special genes and how they interact in the liver and fat cells, finding that the liver plays a big part in controlling fat levels.
- Two specific genes, CREBRF and RRBP1, were highlighted as important in understanding how our bodies manage fats due to strong supporting evidence.
Article Synopsis
- Increased blood lipid levels are linked to cardiovascular disease and are influenced by genetics, diet, and medication use globally.
- Despite advancements in treatment, heart disease remains the top cause of death, highlighting the need for continued research.
- A recent multi-ancestry GWAS encompassing 1.65 million individuals, including 350,000 from non-European backgrounds, emphasizes the importance of diverse genetic studies for better understanding lipid levels and improving clinical applications of genetic findings.
Background: Most risk assessment models for type 2 diabetes (T2DM) have been developed in Caucasians and Asians; little is known about their performance in other ethnic groups.
Objectives: We aimed to identify existing models for the risk of prevalent or undiagnosed T2DM and externally validate them in a multi-ethnic population currently living in the Netherlands.
Methods: A literature search to identify risk assessment models for prevalent or undiagnosed T2DM was performed in PubMed until December 2017.