The overall goals of the Hypertension Network, proposed by investigators at University of Michigan, Loyola University, Case Western Reserve University, and the Massachusetts General Hospital, are to use human families, case-control samples from a variety of populations and animal (rat) models of hypertension to identify novel genes that regulate blood pressure and predispose individuals to hypertension. The studies proposed from Case Western Reserve University are to develop and implement three crucial core activities: genotyping informatics, and statistical analysis.
The aims are to use state-of-the art technologies and to develop new and novel methods that will lead to efficient detection of genetic factors in high blood pressure. The genotyping core will have the responsibility to process all family and individual blood samples for DNA extraction and to genotype the samples for both anonymous and candidate gene markers using highly polymorphic PCR-based microsatellite loci. High-throughput, semi-automated genotyping based on an automated DNA sequencer will be implemented for conducting the genome screen and the association studies. Additionally, a novel method termed MATS will be used to develop microsatellite markers at specific candidate genes. The informatics core will use state-of-the-art database tools to manage the phenotype and genotype data generated by the network.
The aims are to make available to network investigators current data and project status, and to collaborate with investigators for statistical analysis of data.

Agency
National Institute of Health (NIH)
Institute
National Heart, Lung, and Blood Institute (NHLBI)
Type
Cooperative Clinical Research--Cooperative Agreements (U10)
Project #
5U10HL054466-03
Application #
2519492
Study Section
Special Emphasis Panel (ZHL1-CCT-M (F2))
Project Start
1995-09-05
Project End
2000-08-31
Budget Start
1997-09-01
Budget End
1998-08-31
Support Year
3
Fiscal Year
1997
Total Cost
Indirect Cost
Name
Case Western Reserve University
Department
Genetics
Type
Schools of Medicine
DUNS #
077758407
City
Cleveland
State
OH
Country
United States
Zip Code
44106
Kraja, Aldi T; Rao, Dabeeru C; Weder, Alan B et al. (2005) Two major QTLs and several others relate to factors of metabolic syndrome in the family blood pressure program. Hypertension 46:751-7
Mitchell, Adele A; Cutler, David J; Chakravarti, Aravinda (2003) Undetected genotyping errors cause apparent overtransmission of common alleles in the transmission/disequilibrium test. Am J Hum Genet 72:598-610
Halushka, M K; Mathews, D J; Bailey, J A et al. (1999) GIST: A web tool for collecting gene information. Physiol Genomics 1:75-81
Halushka, M K; Fan, J B; Bentley, K et al. (1999) Patterns of single-nucleotide polymorphisms in candidate genes for blood-pressure homeostasis. Nat Genet 22:239-47