Researchers have discovered multiple genetic mutations which play a significant part in elevating risks of heart attack or coronary artery disease (CAD).
Researchers have discovered multiple genetic mutations which play a significant part in elevating risks of heart attack or coronary artery disease (CAD). The consortium will analyze the complete genetic profiles of more than 22,000 people of European descent with CAD or a heart attack history, and 60,000 healthy people — 10 times more than in the next largest whole-genome study to date.
Investigators have examined an average 2.2 million single nucleotide polymorphisms (SNPs) in each of the whole-genome studies included in the review. SNPs, or "snips," are genetic variants at specific locations on individual chromosomes. Sometimes these variants manifest themselves as a disease or susceptibility to a disease. Modern technology allows hundreds of thousands of SNPs to be scanned in a person.
"Only a small proportion of the inheritability of CAD has been explained," said Heribert Schunkert, M.D., a professor of medicine at the University of Lübeck in Germany and a spokesman for CARDIoGRAM. "We have to accept that almost all persons of European ancestry carry multiple small genetic defects that mediate some coronary artery disease risk. The main aim of the consortium is to identify new disease mechanisms to improve risk prevention."
The task is challenging because of the complex nature of atherosclerosis, with multiple genetic factors contributing in small ways to the disease, he said.
Genome-wide association studies provide an unprecedented sensitivity to detect genetic variants affecting disease risk, and researchers rely on the studies' sample size. However, in a typical genome-wide association study with about 1,000 patients and controls, the power to detect a SNP with a significant effect is low.
"Collectively, our consortium increases the power of these findings 10-fold," Schunkert said. "By pooling all of the published and unpublished data, we hope to make discoveries that might have been overlooked. Given that up to 2.5 million comparisons are carried out, in parallel, for each whole-genome scan, distinguishing between true and false associations has been difficult."
Advertisement
"We hope that by combining all of the known whole-genome data, we will be able to provide some answers," he said.
Advertisement
Source-Eurekalert