Molecular Epidemiology of Essential Hypertension

NCT ID: NCT00005377

Last Updated: 2021-10-01

Basic Information

• Recruitment Status: COMPLETED
• Total Enrollment: 573 participants
• Study Classification: OBSERVATIONAL
• Study Start Date: 1994-07-31
• Study Completion Date: 2009-05-31

Brief Summary

To localize individual genes, called blood pressure quantitative trait genes [BPQTGs], which influence blood pressure levels in the population-at- large, and to determine if these genes are able to predict the occurrence of essential hypertension or coronary artery disease.

Detailed Description

BACKGROUND:

Essential hypertension reaches epidemic proportions among adults and is a significant risk factor for premature coronary artery disease [CAD] and stroke. The research to localize BPQTGs represents an initial step toward applying DNA information to early identification of at-risk individuals and understanding the complex relationships among blood pressure, essential hypertension, and coronary artery disease.

DESIGN NARRATIVE:

The study has four aims. Aim 1 uses robust sibling pair linkage methods, parental marker data, and office blood pressure levels measured on 1,376 full sibling pairs to localize BPQTGs to regions of the human genome marked by highly polymorphic tandem repeat loci in or very near to 59 genes involved in blood pressure regulation. These genes were selected based on their involvement in the renin/angiotensin system, ion transport, cardiac physiology, biometabolism of neurotransmitters, or carbohydrate and lipid metabolism. At each gene, a highly polymorphic tandem repeat marker locus has already been identified. Aim 2 uses methods of association analysis for related individuals and office blood pressure levels measured on 587 full sibships to localize BPQTGs to regions of the human genome marked by the 59 candidate BPQTGs. Aim 3 determines if variation in these BPQTGs improves the ability to predict differences in blood pressure levels in a sample of 1,166 unrelated normotensive adults or essential hypertension status in a sample of 1,160 unrelated grandparents beyond that provided by established predictors. Aim 4 determines if variation in these BPQTGs improves the ability to predict symptomatic or asymptomatic coronary artery disease status beyond that provided by established predictors including blood pressure and essential hypertension. Aims 3 and 4 also ask whether the predictive relationship of the traditional risk factors to blood pressure, essential hypertension, or coronary artery disease is different among genotypes at these BPQTGs.

The study was renewed in FY 1999 to continue data analysis.

Conditions

Cardiovascular Diseases; Heart Diseases; Coronary Disease; Hypertension

Study Design

• Observational Model Type: FAMILY_BASED
• Study Time Perspective: RETROSPECTIVE

Eligibility Criteria

Inclusion Criteria

No eligibility criteria

• Minimum Eligible Age: 0 Years
• Maximum Eligible Age: 100 Years
• Eligible Sex: ALL
• Accepts Healthy Volunteers: Yes

Sponsors

National Heart, Lung, and Blood Institute (NHLBI)

NIH

Sponsor Role: collaborator

The University of Texas Health Science Center, Houston

OTHER

Sponsor Role: lead

Responsible Party

Eric Boerwinkle

Professor - SPH

Responsibility Role: PRINCIPAL_INVESTIGATOR

Principal Investigators

Eric Boerwinkle, Ph.D

Role: PRINCIPAL_INVESTIGATOR

University of Texas

References

Boerwinkle E. A contemporary research paradigm for the genetic analysis of a common chronic disease. Ann Med. 1996 Oct;28(5):451-7. doi: 10.3109/07853899608999107.

Reference Type: BACKGROUND

PMID: 8949978 (View on PubMed)

Boerwinkle E, Ellsworth DL, Hallman DM, Biddinger A. Genetic analysis of atherosclerosis: a research paradigm for the common chronic diseases. Hum Mol Genet. 1996;5 Spec No:1405-10. doi: 10.1093/hmg/5.supplement_1.1405.

Reference Type: BACKGROUND

PMID: 8875244 (View on PubMed)

Turner ST, Boerwinkle E, Sing CF. Context-dependent associations of the ACE I/D polymorphism with blood pressure. Hypertension. 1999 Oct;34(4 Pt 2):773-8. doi: 10.1161/01.hyp.34.4.773.

Reference Type: BACKGROUND

PMID: 10523359 (View on PubMed)

Xiong MM, Krushkal J, Boerwinkle E. TDT statistics for mapping quantitative trait loci. Ann Hum Genet. 1998 Sep;62(Pt 5):431-52. doi: 10.1046/j.1469-1809.1998.6250431.x.

Reference Type: BACKGROUND

PMID: 10088040 (View on PubMed)

Krushkal J, Ferrell R, Mockrin SC, Turner ST, Sing CF, Boerwinkle E. Genome-wide linkage analyses of systolic blood pressure using highly discordant siblings. Circulation. 1999 Mar 23;99(11):1407-10. doi: 10.1161/01.cir.99.11.1407.

Reference Type: BACKGROUND

PMID: 10086961 (View on PubMed)

Hallman DM, Ellsworth DL, Boerwinkle E. Molecular and genetic approaches to the study of cardiovascular disease. J Cardiovasc Risk. 1997 Oct-Dec;4(5-6):325-31. No abstract available.

Reference Type: BACKGROUND

PMID: 9865662 (View on PubMed)

Krushkal J, Xiong M, Ferrell R, Sing CF, Turner ST, Boerwinkle E. Linkage and association of adrenergic and dopamine receptor genes in the distal portion of the long arm of chromosome 5 with systolic blood pressure variation. Hum Mol Genet. 1998 Sep;7(9):1379-83. doi: 10.1093/hmg/7.9.1379.

Reference Type: BACKGROUND

PMID: 9700190 (View on PubMed)

Page GP, Amos CI, Boerwinkle E. The quantitative LOD score: test statistic and sample size for exclusion and linkage of quantitative traits in human sibships. Am J Hum Genet. 1998 Apr;62(4):962-8. doi: 10.1086/301783.

Reference Type: BACKGROUND

PMID: 9529341 (View on PubMed)

Fornage M, Amos CI, Kardia S, Sing CF, Turner ST, Boerwinkle E. Variation in the region of the angiotensin-converting enzyme gene influences interindividual differences in blood pressure levels in young white males. Circulation. 1998 May 12;97(18):1773-9. doi: 10.1161/01.cir.97.18.1773.

Reference Type: BACKGROUND

PMID: 9603530 (View on PubMed)

Amos CI, Krushkal J, Thiel TJ, Young A, Zhu DK, Boerwinkle E, de Andrade M. Comparison of model-free linkage mapping strategies for the study of a complex trait. Genet Epidemiol. 1997;14(6):743-8. doi: 10.1002/(SICI)1098-2272(1997)14:63.0.CO;2-O.

Reference Type: BACKGROUND

PMID: 9433571 (View on PubMed)

Ellsworth DL, Hallman DM, Boerwinkle E. Impact of the Human Genome Project on epidemiologic research. Epidemiol Rev. 1997;19(1):3-13. doi: 10.1093/oxfordjournals.epirev.a017943. No abstract available.

Reference Type: BACKGROUND

PMID: 9360897 (View on PubMed)

Turner ST, Boerwinkle E. Genetics of hypertension, target-organ complications, and response to therapy. Circulation. 2000 Nov 14;102(20 Suppl 4):IV40-5. doi: 10.1161/01.cir.102.suppl_4.iv-40. No abstract available.

Reference Type: BACKGROUND

PMID: 11080130 (View on PubMed)

Bray MS, Li L, Turner ST, Kardia SL, Boerwinkle E. Association and linkage analysis of the alpha-adducin gene and blood pressure. Am J Hypertens. 2000 Jun;13(6 Pt 1):699-703. doi: 10.1016/s0895-7061(00)00242-9.

Reference Type: BACKGROUND

PMID: 10912756 (View on PubMed)

Klos KL, Kardia SL, Ferrell RE, Turner ST, Boerwinkle E, Sing CF. Genome-wide linkage analysis reveals evidence of multiple regions that influence variation in plasma lipid and apolipoprotein levels associated with risk of coronary heart disease. Arterioscler Thromb Vasc Biol. 2001 Jun;21(6):971-8. doi: 10.1161/01.atv.21.6.971.

Reference Type: BACKGROUND

PMID: 11397706 (View on PubMed)

Stengard JH, Clark AG, Weiss KM, Kardia S, Nickerson DA, Salomaa V, Ehnholm C, Boerwinkle E, Sing CF. Contributions of 18 additional DNA sequence variations in the gene encoding apolipoprotein E to explaining variation in quantitative measures of lipid metabolism. Am J Hum Genet. 2002 Sep;71(3):501-17. doi: 10.1086/342217. Epub 2002 Aug 5.

Reference Type: BACKGROUND

PMID: 12165926 (View on PubMed)

Gorlova OY, Amos CI, Wang NW, Shete S, Turner ST, Boerwinkle E. Genetic linkage and imprinting effects on body mass index in children and young adults. Eur J Hum Genet. 2003 Jun;11(6):425-32. doi: 10.1038/sj.ejhg.5200979.

Reference Type: BACKGROUND

PMID: 12774034 (View on PubMed)

Hallman DM, Srinivasan SR, Chen W, Boerwinkle E, Berenson GS. The beta(2)-adrenergic receptor Arg16-gly polymorphism and interactions involving beta(2)- and beta(3)-adrenergic receptor polymorphisms are associated with variations in longitudinal serum lipid profiles: the Bogalusa Heart Study. Metabolism. 2004 Sep;53(9):1184-91. doi: 10.1016/j.metabol.2004.03.019.

Reference Type: BACKGROUND

PMID: 15334382 (View on PubMed)

Morrison AC, Boerwinkle E, Turner ST, Ferrell RE. Genome-wide linkage study of erythrocyte sodium-lithium countertransport. Am J Hypertens. 2005 May;18(5 Pt 1):653-6. doi: 10.1016/j.amjhyper.2004.11.030.

Reference Type: BACKGROUND

PMID: 15882547 (View on PubMed)

Klos KL, Kardia SL, Hixson JE, Turner ST, Hanis C, Boerwinkle E, Sing CF. Linkage analysis of plasma ApoE in three ethnic groups: multiple genes with context-dependent effects. Ann Hum Genet. 2005 Mar;69(Pt 2):157-67. doi: 10.1046/j.1529-8817.2004.00148.x.

Reference Type: BACKGROUND

PMID: 15720297 (View on PubMed)

Hinojos CA, Boerwinkle E, Fornage M, Doris PA. Combined genealogical, mapping, and expression approaches to identify spontaneously hypertensive rat hypertension candidate genes. Hypertension. 2005 Apr;45(4):698-704. doi: 10.1161/01.HYP.0000156498.78896.37. Epub 2005 Feb 14.

Reference Type: BACKGROUND

PMID: 15710778 (View on PubMed)

Klos KL, Hamon S, Clark AG, Boerwinkle E, Liu K, Sing CF. APOA5 polymorphisms influence plasma triglycerides in young, healthy African Americans and whites of the CARDIA Study. J Lipid Res. 2005 Mar;46(3):564-71. doi: 10.1194/jlr.M400437-JLR200. Epub 2004 Dec 16.

Reference Type: BACKGROUND

PMID: 15604515 (View on PubMed)

Other Identifiers

R37HL051021-15

Identifier Type: NIH

Identifier Source: secondary_id

View Link

4275

Identifier Type: -

Identifier Source: org_study_id