Antihypertensive treatments obscure familial contributions to blood pressure variation - PubMed (original) (raw)
Antihypertensive treatments obscure familial contributions to blood pressure variation
Jisheng S Cui et al. Hypertension. 2003 Feb.
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.
Comment in
- Loosening the cuff: important new advances in modeling antihypertensive treatment effects in genetic studies of hypertension.
Palmer LJ. Palmer LJ. Hypertension. 2003 Feb;41(2):197-8. doi: 10.1161/01.hyp.0000051503.09587.e4. Hypertension. 2003. PMID: 12574080 No abstract available.
Similar articles
- Familial and genomic analyses of postural changes in systolic and diastolic blood pressure.
Harrap SB, Cui JS, Wong ZY, Hopper JL. Harrap SB, et al. Hypertension. 2004 Mar;43(3):586-91. doi: 10.1161/01.HYP.0000118044.84189.44. Epub 2004 Feb 9. Hypertension. 2004. PMID: 14769804 - Genes and family environment explain correlations between blood pressure and body mass index.
Cui J, Hopper JL, Harrap SB. Cui J, et al. Hypertension. 2002 Jul;40(1):7-12. doi: 10.1161/01.hyp.0000022693.11752.e9. Hypertension. 2002. PMID: 12105130 - Pulse pressure changes with six classes of antihypertensive agents in a randomized, controlled trial.
Cushman WC, Materson BJ, Williams DW, Reda DJ. Cushman WC, et al. Hypertension. 2001 Oct;38(4):953-7. doi: 10.1161/hy1001.096212. Hypertension. 2001. PMID: 11641316 Clinical Trial. - Individual and joint association of alpha1A-adrenergic receptor Arg347Cys polymorphism and plasma irbesartan concentration with blood pressure therapeutic response in Chinese hypertensive subjects.
Jiang S, Mao G, Zhang S, Hong X, Tang G, Li Z, Liu X, Zhang Y, Wang B, Xu X, Wang X. Jiang S, et al. Clin Pharmacol Ther. 2005 Sep;78(3):239-48. doi: 10.1016/j.clpt.2005.06.003. Clin Pharmacol Ther. 2005. PMID: 16153395 Clinical Trial. - Systolic and diastolic blood pressure lowering as determinants of cardiovascular outcome.
Wang JG, Staessen JA, Franklin SS, Fagard R, Gueyffier F. Wang JG, et al. Hypertension. 2005 May;45(5):907-13. doi: 10.1161/01.HYP.0000165020.14745.79. Epub 2005 Apr 18. Hypertension. 2005. PMID: 15837826 Review.
Cited by
- Serum vitamin D, blood pressure and hypertension risk in the HUNT study using observational and Mendelian randomization approaches.
Jiang L, Sun YQ, Denos M, Brumpton BM, Chen Y, Malmo V, Sanderson E, Mai XM. Jiang L, et al. Sci Rep. 2024 Jun 21;14(1):14312. doi: 10.1038/s41598-024-64649-6. Sci Rep. 2024. PMID: 38906907 Free PMC article. - A novel index for measuring the impact of devices on hypertension.
Kingsmore DB, Edgar B, Rostron M, Delles C, Brady AJB. Kingsmore DB, et al. Sci Rep. 2023 Aug 22;13(1):13651. doi: 10.1038/s41598-023-39943-4. Sci Rep. 2023. PMID: 37607949 Free PMC article. - A genome-wide by PM10 exposure interaction study for blood pressure in Korean adults.
Kim HJ, Son HY, Park P, Yun JM, Kwon H, Cho B, Kim JI, Park JH. Kim HJ, et al. Sci Rep. 2023 Aug 11;13(1):13060. doi: 10.1038/s41598-023-40155-z. Sci Rep. 2023. PMID: 37567956 Free PMC article. - Cauchy combination methods for the detection of gene-environment interactions for rare variants related to quantitative phenotypes.
Jin X, Shi G. Jin X, et al. Heredity (Edinb). 2023 Oct;131(4):241-252. doi: 10.1038/s41437-023-00640-7. Epub 2023 Jul 22. Heredity (Edinb). 2023. PMID: 37481617 Free PMC article. - Childhood adversity and cardiometabolic biomarkers in mid-adulthood in the 1958 British birth cohort.
Miller NE, Lacey RE. Miller NE, et al. SSM Popul Health. 2022 Oct 4;19:101260. doi: 10.1016/j.ssmph.2022.101260. eCollection 2022 Sep. SSM Popul Health. 2022. PMID: 36238817 Free PMC article.
Publication types
MeSH terms
Substances
LinkOut - more resources
Full Text Sources
Medical