Latest Genetic epidemiology Stories
The power of genome-wide association studies (GWAS) to detect genetic influences on human disease can be substantially increased using a statistical testing framework.
A study by Valentina Moskvina, Ph.D., of the Cardiff University School of Medicine, Wales, United Kingdom, and colleagues, examined the genetic overlap between Parkinson disease (PD) and Alzheimer disease (AD).
As scientists probe and parse the genetic bases of what makes a human a human (or one human different from another), and vigorously push for greater use of whole genome sequencing, they find themselves increasingly threatened by the unthinkable: Too much data to make full sense of.
Recently, large studies have identified some of the genetic basis for important common diseases such as heart disease and diabetes, but most of the genetic contribution to them remains undiscovered.
University of Minnesota School of Public Health researchers have reported two high-signal genetic markers correlated with coronary artery disease (CAD) that should help define genetic fingerprints that can signal an increased risk of developing the disease.
Singapore and China scientists, headed by Dr Liu Jianjun, Senior Group Leader and Associate Director of Human Genetics at the Genome Institute of Singapore (GIS) and Dr Gu Jieruo, a rheumatologist at the 3rd Affiliated Hospital of the Sun Yat-Sen University, have identified new genes that are associated with the spine disease ankylosing spondylitis (AS).
Recently the number of genes known to be associated with Alzheimer's disease has increased from four to eight, including the MS4A gene cluster on chromosome 11.
Scientists have identified a genetic variant which increases susceptibility to tuberculosis (TB) in African populations using a technique known as a genome-wide association (GWA) study.
Global climate change and other fast-developing scientific fields can take a cue from a prolonged process that eventually led to a workable compromise regarding the release of new data by human genome researchers.
While genome-wide association (GWA) studies have identified several genetic risk factors for common cancers, their predictive power is limited by their small effect sizes.
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