A global hunt for genes that influence heart disease risk has uncovered 157 changes in human DNA that alter the levels of cholesterol and other blood fats – a discovery that could lead to new medications.
Each of the changes points to genes that can modify levels of cholesterol and other blood fats and are potential drug targets. Many of the changes point to genes not previously linked to blood fats, also called lipids. A surprising number of the variations were also associated with coronary artery disease, type 2 diabetes, obesity, and high blood pressure.
The research also reveals that triglycerides – another type of blood lipid – play a larger role in heart disease risk than previously thought.
The results, published in two new papers appearing simultaneously in the journal Nature Genetics, come from the Global Lipids Genetics Consortium -- a worldwide team of scientists who pooled genetic and clinical information from more than 188,000 people from many countries and heritages.
The analysis of the combined data was led by a team from the University of Michigan Medical School and School of Public Health. They used sophisticated computing and statistical techniques to search for genetic variations that modify blood lipid levels.
The results increase by more than a third the total number of genetic variants linked to blood lipids. All but one of the variants associated with blood lipids are near stretches of DNA that encode proteins.
"These results give us 62 new clues about lipid biology, and more places to look than we had before," says Cristen Willer, Ph.D., the lead author of one paper and an assistant professor of Internal Medicine, Human Genetics and Computational Medicine & Bioinformatics at the U-M Medical School. "Once we take the time to truly understand these clues, we'll have a better understanding of lipid biology and cardiovascular disease -- and potentially new targets for treatment."
But, cautions senior author and U-M School of Public Health Professor Gonçalo Abecasis, Ph.D., it will take much further work to study the implicated genes and to find and test potential drugs that could target them. The consortium's "open science" approach will include publishing further detail online for other researchers to use freely toward this goal.
A further analysis of the massive dataset, published as a letter with lead authors Sekar Kathiresan and Ron Do from Harvard University and the Broad Institute, suggests that triglyceride levels have more impact on cardiovascular disease risk than previously thought.
This analysis found that genetic variations that increase triglyceride or LDL-cholesterol levels are also associated with higher incidence of heart disease. But the analysis also casts further doubt on the role of high density lipoprotein, known commonly as HDL or "good cholesterol", in heart disease risk. In recent years, many drugs that modify HDL cholesterol have failed to show a benefit in preventing heart disease.
"We couldn't have done this on our own. Great scientists are usually very competitive, but it is great when we come together and accelerate progress." says Abecasis, who is the Felix E. Moore Collegiate Professor of Biostatistics, and director of the U-M Computational and Translational Genomics Initiative.
The right tool for the right SNPs
The GLGC is focused on finding, cataloging and analyzing genetic variations that modify blood lipids and heart disease risk. The researchers had access to a new tool – a custom DNA analysis chip they helped design that allows inexpensive analysis of DNA in studies of cardiovascular and metabolic traits.
Combined with genome-wide association study (GWAS) techniques, and the sheer number and diversity of the participants engaged by the researchers, the chip helped make the research possible on a much larger scale than ever before.
U-M graduate students Ellen M. Schmidt and Sebanti Sengupta – studying Bioinformatics and Biostatistics, respectively – played key roles in analysis of data, blending their skills to handle a massive amount of data and feed it through powerful computers.
Willer says the new knowledge published in the papers should fuel drug development and experiments in animal models of cardiovascular risk. But in her specialty, probing huge amounts of genetic data, the next steps include looking for "networks" of genes that interact with one another, to try to glean clues about the function of the lesser-understood genes.
Looking for rare genetic variants that are linked with the most severe forms of lipid disorder and heart disease is another challenge, she says. The overlap between these rare, serious variations, and the more common but less severe variations, could help understanding of basic lipid biology.
In addition to the U-M authors mentioned above, the research team included U-M biostatistics professor Michael Boehnke, Ph.D., and dozens of scientists and students from around the world. A full list of authors and affiliations is on each of the papers.
Dr. Willer holds a Pathway to Independence Award (K99/R00) from the National Heart, Lung, and Blood Institute. Ellen Schmidt holds a National Science Foundation Open Data fellowship. Other funding came from the funders of each of the genetic cohort studies that contributed data to the GLGC.
Reference: Nature Genetics, doi:10.1038/ng.2797 and doi:10.1038/ng.2795
Kara Gavin | EurekAlert!
Further reports about: > Bioinformatics > Biostatistics > Computational Neuroscience > DNA > GLGC > Genetics > HDL > Medical Wellness > Nature Genetics > Nature Immunology > blood lipid > cardiovascular disease > genetic variant > genetic variation > heart disease > heart disease risk > vascular disease
Bacteria as pacemaker for the intestine
22.11.2017 | Christian-Albrechts-Universität zu Kiel
Researchers identify how bacterium survives in oxygen-poor environments
22.11.2017 | Columbia University
The WHO reports an estimated 429,000 malaria deaths each year. The disease mostly affects tropical and subtropical regions and in particular the African continent. The Fraunhofer Institute for Silicate Research ISC teamed up with the Fraunhofer Institute for Molecular Biology and Applied Ecology IME and the Institute of Tropical Medicine at the University of Tübingen for a new test method to detect malaria parasites in blood. The idea of the research project “NanoFRET” is to develop a highly sensitive and reliable rapid diagnostic test so that patient treatment can begin as early as possible.
Malaria is caused by parasites transmitted by mosquito bite. The most dangerous form of malaria is malaria tropica. Left untreated, it is fatal in most cases....
The formation of stars in distant galaxies is still largely unexplored. For the first time, astron-omers at the University of Geneva have now been able to closely observe a star system six billion light-years away. In doing so, they are confirming earlier simulations made by the University of Zurich. One special effect is made possible by the multiple reflections of images that run through the cosmos like a snake.
Today, astronomers have a pretty accurate idea of how stars were formed in the recent cosmic past. But do these laws also apply to older galaxies? For around a...
Just because someone is smart and well-motivated doesn't mean he or she can learn the visual skills needed to excel at tasks like matching fingerprints, interpreting medical X-rays, keeping track of aircraft on radar displays or forensic face matching.
That is the implication of a new study which shows for the first time that there is a broad range of differences in people's visual ability and that these...
Computer Tomography (CT) is a standard procedure in hospitals, but so far, the technology has not been suitable for imaging extremely small objects. In PNAS, a team from the Technical University of Munich (TUM) describes a Nano-CT device that creates three-dimensional x-ray images at resolutions up to 100 nanometers. The first test application: Together with colleagues from the University of Kassel and Helmholtz-Zentrum Geesthacht the researchers analyzed the locomotory system of a velvet worm.
During a CT analysis, the object under investigation is x-rayed and a detector measures the respective amount of radiation absorbed from various angles....
The quantum world is fragile; error correction codes are needed to protect the information stored in a quantum object from the deteriorating effects of noise. Quantum physicists in Innsbruck have developed a protocol to pass quantum information between differently encoded building blocks of a future quantum computer, such as processors and memories. Scientists may use this protocol in the future to build a data bus for quantum computers. The researchers have published their work in the journal Nature Communications.
Future quantum computers will be able to solve problems where conventional computers fail today. We are still far away from any large-scale implementation,...
15.11.2017 | Event News
15.11.2017 | Event News
30.10.2017 | Event News
22.11.2017 | Business and Finance
22.11.2017 | Physics and Astronomy
22.11.2017 | Physics and Astronomy