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Updated: Jan 1, 2026

Large-Scale Multi-Omics Genome-Wide Association Studies Mo-GWAS: Guidelines for Sample Preparation and Normalization
Published on: July 27, 2021
Progress in genetic association studies of plasma lipids
Folkert W Asselbergs1, Ruth C Lovering, Fotios Drenos
1Division of Heart and Lungs, Department of Cardiology, University Medical Center Utrecht, Utrecht, The Netherlands.
Large-scale genetic studies have identified numerous genes influencing lipid levels, revealing shared pathways and similar genetic architecture across ethnicities. Further research aims to explore these genetic loci for potential lipid-lowering therapies and cardiovascular disease risk reduction.
Area of Science:
- Genetics
- Biochemistry
- Cardiovascular Science
Background:
- Lipid levels are critical determinants of cardiovascular health.
- Understanding the genetic basis of lipid homeostasis is essential for developing targeted therapies.
Purpose of the Study:
- To review recent large-scale genetic studies on lipid levels.
- To provide an overview of identified genetic loci and involved pathways.
- To analyze the transferability of genetic findings across different ethnicities.
Main Methods:
- Comprehensive literature review of large-scale genetic studies.
- Bioinformatic analysis of identified genetic variants.
- Replication analysis of single nucleotide polymorphisms (SNPs) in diverse ethnic groups.
Main Results:
- Identification of 52 genes for HDL cholesterol, 42 for LDL cholesterol, 59 for total cholesterol, and 39 for triglycerides.
- Demonstration of genetic overlap between different lipid traits and shared biological pathways.
- High replication rates of European-identified SNPs in other ethnicities, indicating conserved genetic architecture.
Conclusions:
- Genetic studies have significantly advanced our understanding of plasma lipid regulation.
- Identified genetic loci offer potential targets for novel lipid-lowering strategies and cardiovascular disease prevention.
- Ongoing large-scale studies aim to uncover additional common and rare variants to explain more genetic variance.
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