Jan 13, 2008 - An international study of 20,000 people found seven new genes that influence blood cholesterol levels, a major factor in heart disease, and confirmed 11 other genes previously thought to influence cholesterol. The international study, led by researchers from the University of Michigan School of Public Health, set out to identify or confirm genetic variants that influence lipid levels, and secondly, to see if those variants were linked to the decreased or increased risk of heart disease. The findings were published online on Jan. 13 in the journal Nature Genetics
How Good is 'Good' Cholesterol?
The results may lead the medical community to rethink the role of HDL (good cholesterol) and LDL (bad cholesterol) in heart disease, said Goncalo Abecasis, associate professor in the U-M School of Public Health. Abecasis co-directed the study with Karen Mohlke, assistant professor of genetics at the University of North Carolina at Chapel Hill School of Medicine.
"It was surprising that while 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 reexamine the roles of good and bad cholesterol in susceptibility to heart disease," Abecasis said.
Coronary Artery Disease and Cholesterol
Coronary artery disease, a condition where plaque accumulates on the walls of coronary arteries, is the most common type of heart disease and a leading cause of death in industrialized countries. The type and amount of cholesterol and other lipids in the bloodstream contribute to the risk of coronary artery disease, which can cause heart attack, stroke, angina and other heart conditions. Both genetic and environmental factors influence a person's cholesterol and blood lipid levels.
"One Step Closer to Better Treatments"
"Finding new gene regions associated with cholesterol levels may bring us one step closer to developing better treatments," said Cristen Willer, co-first author and a research fellow in the Department of Biostatistics. "Nearly all of the gene regions that we found to be involved in higher LDL levels were also involved in coronary artery disease risk. This is a remarkable result and suggests that new drug therapies that target the genes in these regions will also help prevent coronary artery disease and allow people to live longer and healthier lives."...
Of the seven new variants, two influenced HDL, one influenced LDL, and three influenced triglycerides, which are found in fat and in the bloodstream and like LDL, are associated with increased risk of heart disease. One variant influenced triglycerides and LDL.
Scientists initially examined 2 million genetic variants in 8,800 individuals and ended up focusing on a total of 25 genetic variants on 18 genes. Altogether the variations reported are responsible for less than a quarter of the genetic contributions to lipid levels.
The completion of the map of human genetic variation, or HapMap, has fueled a surge in this type of genome-wide association study, with most of the growth coming in the past 10 months. Researchers around the globe have now associated more than 60 common DNA variants with the risk of more than 20 common diseases or related traits.
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The research received major support from the National Human Genome Research Institute, National Institute on Aging, National Institute of Diabetes and Digestive and Kidney Diseases, and the National Heart, Lung and Blood Institute, all of which are part of the National Institutes of Health; the American Diabetes Association; the Department of Veterans Affairs; the British Heart Foundation; the United Kingdom's Medical Research Council; and the French Ministry of Higher Education and Research.
For more on Professor Goncalo Abecasis, visit: http://www.sph.umich.edu/csg/abecasis/
* “Newly identified loci that influence lipid concentrations and risk of coronary artery disease,” Abecasis GR and Mohlke KL, et al. Nature Genetics, Jan 13, 2003. To read an abstract, click here.