The current forward genetics of genome-wide association studies (GWAS) have successfully identified ~300 distinct loci regulating blood pressure (BP), primarily implicating sequence variation within the non-coding genome. However, for precision medicine of hypertension (HTN), a major challenge for public health, mechanistic identification of the genomic components altering the expression of BP genes is required. To solve this important bottleneck, we use a functional genomics inspired reverse genetics strategy to identify the transcription factors (TF), cis-regulatory elements (CRE), DNA variants and BP genes in four BP relevant tissues. Taking advantage of the analytical expertise and collaborations within the Family Blood Pressure Program Essential Hypertension GWAS consortium (FEHGAS3), and newly developed experimental and computational tools, we propose a novel framework for discovering the functional genetic modules, at identified BP loci and genome-wide, affecting inter-individual BP variation. Our approach enables answers to long-standing questions in BP genomics and physiology, with lessons for understanding many other complex diseases. We propose three major aims: (1) Identifying the transcription factors (TF), enhancers (CRE) and expressed genes in BP-relevant tissues; (2) Connecting enhancer (CRE) variation to gene expression and BP variation; and, (3) Identifying causal mechanisms that modulate BP to provide translational insights.

Public Health Relevance

The major hypothesis explaining the results of blood pressure (BP) genome-wide association studies (GWAS) is that sequence variants at specific cis-regulatory elements (CRE or enhancer) affect the binding of their cognate transcription factors (TF) to alter expression of specific BP genes. In this second renewal of the FEHGAS consortium, we propose new computational and experimental approaches to identify the TFs, CREs, and target genes, active in four blood pressure target tissues, so that the effects of causal BP affecting genetic variation can be tested, within identified BP loci and genome-wide. This tissue-based view provides an alternative, complementary approach for understanding how BP variation leads to primary hypertension and hypertensive target organ damage, a major public health challenge.

Agency
National Institute of Health (NIH)
Institute
National Heart, Lung, and Blood Institute (NHLBI)
Type
Research Project (R01)
Project #
5R01HL086694-09
Application #
9645655
Study Section
Genetics of Health and Disease Study Section (GHD)
Program Officer
Luo, James
Project Start
2007-09-01
Project End
2022-01-31
Budget Start
2019-02-01
Budget End
2020-01-31
Support Year
9
Fiscal Year
2019
Total Cost
Indirect Cost
Name
New York University
Department
Internal Medicine/Medicine
Type
Schools of Medicine
DUNS #
121911077
City
New York
State
NY
Country
United States
Zip Code
10016
Robinson-Cohen, Cassianne; Bartz, Traci M; Lai, Dongbing et al. (2018) Genetic Variants Associated with Circulating Fibroblast Growth Factor 23. J Am Soc Nephrol 29:2583-2592
Wang, Heming; Nandakumar, Priyanka; Tekola-Ayele, Fasil et al. (2018) Combined linkage and association analysis identifies rare and low frequency variants for blood pressure at 1q31. Eur J Hum Genet :
Irvin, Marguerite R; Sitlani, Colleen M; Noordam, Raymond et al. (2018) Genome-wide meta-analysis of SNP-by9-ACEI/ARB and SNP-by-thiazide diuretic and effect on serum potassium in cohorts of European and African ancestry. Pharmacogenomics J :
Floyd, J S; Sitlani, C M; Avery, C L et al. (2018) Large-scale pharmacogenomic study of sulfonylureas and the QT, JT and QRS intervals: CHARGE Pharmacogenomics Working Group. Pharmacogenomics J 18:127-135
Seyerle, A A; Sitlani, C M; Noordam, R et al. (2018) Pharmacogenomics study of thiazide diuretics and QT interval in multi-ethnic populations: the cohorts for heart and aging research in genomic epidemiology. Pharmacogenomics J 18:215-226
Feofanova, Elena V; Yu, Bing; Metcalf, Ginger A et al. (2018) Sequence-Based Analysis of Lipid-Related Metabolites in a Multiethnic Study. Genetics 209:607-616
McKeown, Nicola M; Dashti, Hassan S; Ma, Jiantao et al. (2018) Sugar-sweetened beverage intake associations with fasting glucose and insulin concentrations are not modified by selected genetic variants in a ChREBP-FGF21 pathway: a meta-analysis. Diabetologia 61:317-330
Sarnowski, ChloƩ; Kavousi, Maryam; Isaacs, Steve et al. (2018) Genetic variants associated with earlier age at menopause increase the risk of cardiovascular events in women. Menopause 25:451-457
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
Lee, Dongwon; Kapoor, Ashish; Safi, Alexias et al. (2018) Human cardiac cis-regulatory elements, their cognate transcription factors, and regulatory DNA sequence variants. Genome Res 28:1577-1588

Showing the most recent 10 out of 332 publications