The NHLBI Family Blood Pressure Program is made up of four cooperating networks whose overall objective is to localize and characterize genes contributing to variation in blood pressure levels and hypertension status. The four networks were originally separately funded and competitive, but two critical realizations have led to full cooperation and collaboration. First, the oligogenic nature of blood pressure control dictates that large samples are necessary to achieve adequate statistical power for genomic linkage and association analyses. Second, linkage intervals are broad and contain large numbers of genes, so that success in identifying genes and mutations requires the effort of multiple laboratories freely sharing information. This coordination extends far beyond phenotyping and genotyping and is best exemplified by the Program's creation of a pooled data set and agreements about coordinated publications. During the initial funding period, the Program surpassed its original recruitment goals, carried out multiple genome-wide linkage and association analyses and created an interim pooled data set consisting of phenotype and genotype data from more than 10,000 individuals. In this renewal application, the Program proposes five specific aims to be carried out by all four networks.
These aims can be grouped according to two complementary themes: First, these applicants will create and analyze a database of blood pressure- related phenotype and genotype data from all FBPP participants (Aim 1). Within linked regions, they will identify allelic variation within positional candidate genes and evaluate the relationship of these polymorphisms with blood pressure levels and hypertension status (Aims 2 and 3). Second, they will use quantitative measures of target organ damage to identify genes that influence susceptibility to develop hypertensive heart and kidney diseases (Aims 4 and 5). In addition to the Program specific aims, each network proposes specific aims to be carried out by that network alone, based on unique aspects of their population and interests and expertise of the investigators. The Family Blood Pressure Program represents the most determined multidisciplinary approach to the genetics of hypertension ever assembled. The resulting synthesis of ideas and amassed data permits rigorous hypothesis testing not otherwise possible and will hasten understanding of the previously elusive genetic variation responsible for disease risk.

Agency
National Institute of Health (NIH)
Institute
National Heart, Lung, and Blood Institute (NHLBI)
Type
Research Project--Cooperative Agreements (U01)
Project #
5U01HL054457-10
Application #
6777580
Study Section
Special Emphasis Panel (ZHL1-CSR-L (F1))
Program Officer
Paltoo, Dina
Project Start
1995-09-05
Project End
2005-06-30
Budget Start
2004-07-01
Budget End
2005-06-30
Support Year
10
Fiscal Year
2004
Total Cost
$583,998
Indirect Cost
Name
University of Michigan Ann Arbor
Department
Genetics
Type
Schools of Medicine
DUNS #
073133571
City
Ann Arbor
State
MI
Country
United States
Zip Code
48109
Ward-Caviness, Cavin K; Huffman, Jennifer E; Everett, Karl et al. (2018) DNA methylation age is associated with an altered hemostatic profile in a multiethnic meta-analysis. Blood 132:1842-1850
Liu, Jiaxuan; Zhao, Wei; Ware, Erin B et al. (2018) DNA methylation in the APOE genomic region is associated with cognitive function in African Americans. BMC Med Genomics 11:43
Kattah, Andrea G; Suarez, Maria L G; Milic, Natasa et al. (2018) Hormone therapy and urine protein excretion: a multiracial cohort study, systematic review, and meta-analysis. Menopause 25:625-634
Rudra, Pratyaydipta; Broadaway, K Alaine; Ware, Erin B et al. (2018) Testing cross-phenotype effects of rare variants in longitudinal studies of complex traits. Genet Epidemiol 42:320-332
Wright, Michelle L; Ware, Erin B; Smith, Jennifer A et al. (2018) Joint Influence of SNPs and DNA Methylation on Lipids in African Americans From Hypertensive Sibships. Biol Res Nurs 20:161-167
Jhun, Min A; Smith, Jennifer A; Ware, Erin B et al. (2017) Modeling the Causal Role of DNA Methylation in the Association Between Cigarette Smoking and Inflammation in African Americans: A 2-Step Epigenetic Mendelian Randomization Study. Am J Epidemiol 186:1149-1158
Ben-Avraham, Dan; Karasik, David; Verghese, Joe et al. (2017) The complex genetics of gait speed: genome-wide meta-analysis approach. Aging (Albany NY) 9:209-246
Justice, Anne E (see original citation for additional authors) (2017) Genome-wide meta-analysis of 241,258 adults accounting for smoking behaviour identifies novel loci for obesity traits. Nat Commun 8:14977
Nandakumar, Priyanka; Lee, Dongwon; Richard, Melissa A et al. (2017) Rare coding variants associated with blood pressure variation in 15?914 individuals of African ancestry. J Hypertens 35:1381-1389
Canales, Benjamin K; Smith, Jennifer A; Weiner, I David et al. (2017) Polymorphisms in Renal Ammonia Metabolism Genes Correlate With 24-Hour Urine pH. Kidney Int Rep 2:1111-1121

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