The DOI matches its Crossref record; 14 of the 14 references it cites were found in a registry or an index.
Antihypertensive Treatments Obscure Familial Contributions to Blood Pressure Variation
Abstract
The linkage and association between inherent blood pressure and underlying genotype is potentially confounded by antihypertensive treatment. We estimated blood pressure variance components (genetic, shared environmental, individual-specific) in 767 adult volunteer families by using a variety of approaches to adjusting blood pressure of the 244 subjects (8.2%) receiving antihypertensive medications. The additive genetic component of variance for systolic pressure was 73.9 mm Hg 2 (SE, 8.8) when measured pressures (adjusted for age by gender within each generation) were used but fell to 61.4 mm Hg 2 (SE, 8.0) when treated subjects were excluded. When the relevant 95th percentile values were substituted for treated systolic pressures, the additive genetic component was 81.9 mm Hg 2 (SE, 9.5), but individual adjustments in systolic pressure ranged from −53.5 mm Hg to +64.5 mm Hg (mean, +17.2 mm Hg). Instead, when 10 mm Hg was added to treated systolic pressure, the additive genetic component rose to 86.6 mm Hg 2 (SE, 10.1). Similar changes were seen in the shared environment component of variance for systolic pressure and for the combined genetic and shared environmental (ie, familial) components of diastolic pressure. There was little change in the individual-specific variance component across any of the methods. Therefore, treated subjects contribute important information to the familial components of blood pressure variance. This information is lost if treated subjects are excluded and obscured by treatment effects if unadjusted measured pressures are used. Adding back an appropriate increment of pressure restores familial components, more closely reflects the pretreatment values, and should increase the power of genomic linkage and linkage disequilibrium analyses.
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Neaton, J. D. (1993) · JAMA · doi:10.1001/jama.270.6.713 · Cited by 946
Programs for pedigree analysis: Mendel, Fisher, and dGene
Lange, K., Weeks, D., Boehnke, M., MacCluer, J. W., & MacCluer, J. W. (1988) · Genetic Epidemiology · doi:10.1002/gepi.1370050611 · Cited by 616
Levy, D., DeStefano, A. L., Larson, M. G., O’Donnell, C. J., Lifton, R. P., Gavras, H., Cupples, L. A., & Myers, R. H. (2000) · Hypertension · doi:10.1161/01.hyp.36.4.477 · Cited by 595
Terwilliger, J. D., & Göring, H. H. H. (2009) · Human Biology · doi:10.1353/hub.2009.a381878 · Cited by 256
Genome-Wide Linkage Analysis of Systolic and Diastolic Blood Pressure: The Québec Family Study
Rice, T., Rankinen, T., Province, M. A., Chagnon, Y. C., Pérusse, L., Borecki, I. B., Bouchard, C., & Rao, D. C. (2000) · Circulation · doi:10.1161/01.cir.102.16.1956 · Cited by 231
Harrap, S. B. (2000) · American Journal of Epidemiology · doi:10.1093/aje/152.8.704 · Cited by 159
Self-citationTask Force V: White-coat hypertension
Pickering, T. G., Coats, A. J. S., Mallion, J. M., Mancia, G., & Verdecchia, P. (1999) · Blood Pressure Monitoring · doi:10.1097/00126097-199912000-00006 · Cited by 157
Allayee, H., de Bruin, T. W., Dominguez, K. M., Li, C., Ipp, E., Cantor, R. M., Krass, K. L., Keulen, E. T. P., Aouizerat, B. E., Lusis, A. J., et al. (2001) · Hypertension · doi:10.1161/hy1001.092617 · Cited by 122
Pickering, T. G., Coats, A. J. S., Mallion, J. M., Mancia, G., & Verdecchia, P. (1999) · Blood Pressure Monitoring · doi:10.1097/00126097-199900460-00006 · Cited by 104
Genes and Family Environment Explain Correlations Between Blood Pressure and Body Mass Index
Cui, J. S., Hopper, J. L., & Harrap, S. B. (2002) · Hypertension · doi:10.1161/01.hyp.0000022693.11752.e9 · Cited by 101
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Genome-wide association study of blood pressure and hypertension
Levy, D., Ehret, G. B., Rice, K., Verwoert, G. C., Launer, L. J., Dehghan, A., Glazer, N. L., Morrison, A. C., Johnson, A. D., Aspelund, T., et al. (2009) · Nature Genetics · doi:10.1038/ng.384 · Cited by 1,364
Kato, N., Takeuchi, F., Tabara, Y., Kelly, T. N., Go, M. J., Sim, X., Tay, W. T., Chen, C.-H., Zhang, Y., Yamamoto, K., et al. (2011) · Nature Genetics · doi:10.1038/ng.834 · Cited by 566
Licht, C. M. M., de Geus, E. J. C., Seldenrijk, A., van Hout, H. P. J., Zitman, F. G., van Dyck, R., & Penninx, B. W. J. H. (2009) · Hypertension · doi:10.1161/hypertensionaha.108.126698 · Cited by 319
Yang, Q., Köttgen, A., Dehghan, A., Smith, A. V., Glazer, N. L., Chen, M.-H., Chasman, D. I., Aspelund, T., Eiriksdottir, G., Harris, T. B., et al. (2010) · Circulation: Cardiovascular Genetics · doi:10.1161/circgenetics.109.934455 · Cited by 320
Ethnic differences in associations between blood pressure and stroke in south Asian and European men
Eastwood, S. V., Tillin, T., Chaturvedi, N., & Hughes, A. D. (2015) · Hypertension · doi:10.1161/hypertensionaha.115.05672 · Cited by 82
Metadata
- Authors
- Cui, J. S., Hopper, J. L., & Harrap, S. B.
- Venue
- Hypertension
- Published
- 2003-02
- Volume
- 41
- Issue
- 2
- Pages
- 207-210
- ISSN
- 0194-911X (ISSN-L)
- 1524-4563
- OpenAlex
- W2067919004
- Cited by
- 269
- References
- 14
- FWCI
- 7.33
- Type
- journal article
- Language
- en
- Open access
- closed
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