title: Genome scan meta-analysis for hypertension.
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.
authors.affiliation: Department of Health Evaluation Sciences, Penn State College of Medicine, Hershey, Pennsylvania 07033, USA. wliu@hes.hmc.psu.edu
authors.forename: Wenlei
authors.initials: W
authors.lastname: Liu
authors.forename: Wei
authors.initials: W
authors.lastname: Zhao
authors.forename: Gary A
authors.initials: GA
authors.lastname: Chase
mesh_terms: D001794:Blood Pressure / Q000235:genetics; D005260:Female; D008040:Genetic Linkage; D020022:Genetic Predisposition to Disease; D015894:Genome, Human / Q000235:genetics*; D006801:Humans; D006973:Hypertension / Q000235:genetics*; D008297:Male; D018343:Receptors, Adrenergic, beta-2 / Q000235:genetics
chemical_list: D018343:Receptors, Adrenergic, beta-2