Wenlei Liu1, Wei Zhao, Gary A Chase. 1. Department of Health Evaluation Sciences, Penn State College of Medicine, Hershey, Pennsylvania 07033, USA. wliu@hes.hmc.psu.edu
Abstract
BACKGROUND: Genome scans for hypertension have yielded inconsistent results. The non-replication of significant or suggestive linkage might be due to lack of power of individual studies. Here, we conducted a genome scan meta-analysis for hypertension in an attempt to increase statistical power and to enhance evidence of linkage. METHODS: A newly developed Genome Search Meta-analysis (GSMA) method was applied to pool the results obtained from six scans reported in five papers. RESULTS: Our analysis did not find any regions with genome-wide significant linkage to hypertension. We did identify several regions with suggestive linkage, including 2p, 5q, 6q, 8p, 9p, 9q, and 11q. CONCLUSIONS: It seems that no region has a uniformly large impact on hypertension and that susceptibility genes for hypertension may be very difficult to detect.
BACKGROUND: Genome scans for hypertension have yielded inconsistent results. The non-replication of significant or suggestive linkage might be due to lack of power of individual studies. Here, we conducted a genome scan meta-analysis for hypertension in an attempt to increase statistical power and to enhance evidence of linkage. METHODS: A newly developed Genome Search Meta-analysis (GSMA) method was applied to pool the results obtained from six scans reported in five papers. RESULTS: Our analysis did not find any regions with genome-wide significant linkage to hypertension. We did identify several regions with suggestive linkage, including 2p, 5q, 6q, 8p, 9p, 9q, and 11q. CONCLUSIONS: It seems that no region has a uniformly large impact on hypertension and that susceptibility genes for hypertension may be very difficult to detect.
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