Statistical Test Increases Power of Genetic Studies of Complex Disease
Old data can be mined to find new genetic associations and gene interactions
Source Newsroom: Genetics Society of America
Newswise — The power of genome-wide association studies (GWAS) to detect genetic influences on human disease can be substantially increased using a statistical testing framework reported in the May issue of the journal GENETICS.
Despite the proliferation of GWAS, the associations found so far have largely failed to account for the known effects of genes on complex disease — the problem of “missing heritability.” Standard approaches also struggle to find combinations of multiple genes that affect disease risk in complex ways (known as genetic interactions).
The new framework enhances the ability to detect genetic associations and interactions by taking advantage of data from other genomic studies of the same population. Such information is increasingly abundant for many human populations.
The authors demonstrated that their method improves performance over standard approaches. They also re-examined real GWAS data to find promising new candidates for genetic interactions that affect bipolar disorder, coronary artery disease, Crohn’s disease, and rheumatoid arthritis.
“We think practically everyone who’s ever done a case-control GWAS could benefit from reanalyzing their data in this way,” said author Saharon Rosset, associate professor of statistics at Tel Aviv University.
“This paper offers a significant advance in mapping genes involved in disease. The approach makes use of available data to substantially improve the ability to identify genetic components of disease,” said Mark Johnston, Editor-in-Chief of the journal GENETICS.
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CITATION: S. Kaufman and S. Rosset. Exploiting Population Samples to Enhance Genome-Wide Association Studies of Disease. Genetics May 2014 197:337-349 doi: 10.1534/genetics.114.162511 Available online at: http://www.genetics.org/content/197/1/337
FUNDING: This study was supported in part by a fellowship from the Edmond J. Safra Center for Bioinformatics at Tel-Aviv University and by Israeli Science Foundation grant 1487/12. It makes use of data generated by the Wellcome Trust Case Control Consortium. A full list of the investigators who contributed to the generation of the data is available from www.wtccc.org.uk. Funding for that project was provided by the Wellcome Trust under award 076113.
ABOUT GENETICS: Since 1916, GENETICS (http://www.genetics.org/) has published high quality, original research on a range of topics bearing on inheritance, including population and evolutionary genetics, complex traits, developmental and behavioral genetics, cellular genetics, gene expression, genome integrity and transmission, and genome and systems biology. A peer-reviewed and peer-edited publication of the Genetics Society of America, GENETICS is one of the world’s most cited journals in genetics and heredity.
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