Environmental and genetic factors influence a person's blood fat, or lipid levels, important risk factors for coronary artery disease (CAD). While there is some understanding of the environmental contribution, the role of genetics has been less defined.
Now, in an international collaboration supported primarily by the National Institutes of Health (NIH), scientists have discovered more than 25 genetic variants in 18 genes connected to cholesterol and lipid levels. Seven of the 18 genes previously had not been connected to these levels, while the 11 others confirm previous discoveries.
In the investigation, published online January 13 and in the February print issue of "Nature Genetics", the associated genes were found through studies of more than 20,000 individuals and more than 2 million genetic variants, spanning the entire genome. These variants potentially open the door to strategies for the treatment and prevention of CAD.
"Heart disease is a leading cause of illness, disability and death in industrialized countries, particularly for older people," says National Institute on Aging (NIA) Director Richard J. Hodes, M.D. "We know that certain lifestyle factors like smoking, diet and physical activity greatly affect a person's lipid profiles. This study is an important, basic step in finding the genes that influence lipid levels and heart disease so that we can better understand the genetic contribution to cardiovascular risk."
The purpose of the study was to identify comprehensively genetic variants that influence lipid levels and to examine the relationships between these genetic variants and risk of CAD. High levels of low-density lipoprotein (LDL) ("bad" cholesterol) appear to increase the risk of CAD by narrowing or blocking arteries that carry blood to the heart. High levels of high-density lipoprotein (HDL) ("good" cholesterol) appear to lower the risk. High levels of triglycerides, which make up a large part of the body's fat and are also found in the bloodstream, are also associated with increased risk of CAD.
To identify genetic variants that play a role in lipid levels, researchers turned to a relatively new approach, known as a genome-wide association study (GWAS). The GWAS strategy enables researchers to survey the entire human genetic blueprint, or genome, not just the genetic variants in a few genes.
The human genome contains approximately 3 billion base pairs, or letters, of DNA. Small, single-letter variations naturally occur about once in every 1,000 letters of the DNA code. Most of these genetic variants have not yet been associated with particular traits or disease risks.
However, in some instances, people with a certain trait, such as higher levels of LDL cholesterol, tend to have one version of the variant, while those with lower levels are more likely to have the other version. In such instances, researchers may infer that there is an association between the values of the trait and the variants in the gene.
"These results are yet another example of how genome-wide association studies are opening exciting new avenues for biomedical research," says NHGRI Director Francis S. Collins, M.D., Ph.D., who is a coauthor of the study and an investigator in NHGRI's Genome Technology Branch.
"While some of the genetic variants we identified are known to play a well-established role in lipid metabolism, others have no obvious connection. Further studies to identify the precise genes and biological pathways involved could shed new light on lipid metabolism."
To determine if the genetic variants associated with lipid levels also influence risk of heart disease, the researchers compared their results with results from the Wellcome Trust Case Control Consortium's recent genome-wide association study of CAD involving 15,000 British individuals. They found that all gene variants associated with increased LDL levels also were more prevalent among people with CAD. People with the gene variant for high triglyceride levels also had an increased risk for CAD, although the relationship was not as strong. No relationship was found between HDL and CAD.
"It was surprising that while it was clear that genetic variants that increase your 'bad' cholesterol are also associated with increased risk of heart disease, we did not find that variants influencing your 'good' cholesterol were associated with decreased risk of coronary artery disease. Perhaps that result will lead us to re-examine the roles of good and bad cholesterol in susceptibility to heart disease," remarks Abecasis.
Identifying a correlation among genes influencing lipid levels and risk for coronary heart disease is a first step in a long path to potentially important clinical implications. "What we're looking for, ultimately, are novel therapeutics and/or life-style modifications that can be recommended to individuals to help manage blood lipid levels and reduce risk of heart disease," says David Schlessinger, Ph.D., chief of the NIA's Laboratory of Genetics and NIA Project Officer for SardiNIA.
This study also demonstrates the power of international collaboration in genetic analyses. None of the studies that cooperated to make this work possible were large enough to find all of these important associations alone. By working together, previously unsuspected genetic influences on lipid levels and heart disease were revealed.