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Connection

Arlene Chapman to Atenolol

This is a "connection" page, showing publications Arlene Chapman has written about Atenolol.
Connection Strength

2.949
  1. Genetic Variants Associated With Uncontrolled Blood Pressure on Thiazide Diuretic/ß-Blocker Combination Therapy in the PEAR (Pharmacogenomic Evaluation of Antihypertensive Responses) and INVEST (International Verapamil-SR Trandolapril Study) Trials. J Am Heart Assoc. 2017 Nov 02; 6(11).
    View in: PubMed
    Score: 0.624
  2. Night blood pressure responses to atenolol and hydrochlorothiazide in black and white patients with essential hypertension. Am J Hypertens. 2014 Apr; 27(4):546-54.
    View in: PubMed
    Score: 0.464
  3. Effect of plasma MicroRNA on antihypertensive response to beta blockers in the Pharmacogenomic Evaluation of Antihypertensive Responses (PEAR) studies. Eur J Pharm Sci. 2019 Apr 01; 131:93-98.
    View in: PubMed
    Score: 0.170
  4. Genetic Variants Influencing Plasma Renin Activity in Hypertensive Patients From the PEAR Study (Pharmacogenomic Evaluation of Antihypertensive Responses). Circ Genom Precis Med. 2018 04; 11(4):e001854.
    View in: PubMed
    Score: 0.161
  5. Genome-Wide Association Approach Identified Novel Genetic Predictors of Heart Rate Response to ß-Blockers. J Am Heart Assoc. 2018 02 24; 7(5).
    View in: PubMed
    Score: 0.160
  6. Comparison of Blood Pressure Control Rates Among Recommended Drug Selection Strategies for Initial Therapy of Hypertension. Am J Hypertens. 2016 10; 29(10):1186-94.
    View in: PubMed
    Score: 0.142
  7. PTPRD gene associated with blood pressure response to atenolol and resistant hypertension. J Hypertens. 2015 Nov; 33(11):2278-85.
    View in: PubMed
    Score: 0.136
  8. Predictors for glucose change in hypertensive participants following short-term treatment with atenolol or hydrochlorothiazide. Pharmacotherapy. 2014 Nov; 34(11):1132-40.
    View in: PubMed
    Score: 0.125
  9. Is diabetes mellitus-linked amino acid signature associated with ß-blocker-induced impaired fasting glucose? Circ Cardiovasc Genet. 2014 Apr; 7(2):199-205.
    View in: PubMed
    Score: 0.121
  10. Atenolol induced HDL-C change in the pharmacogenomic evaluation of antihypertensive responses (PEAR) study. PLoS One. 2013; 8(10):e76984.
    View in: PubMed
    Score: 0.118
  11. G protein receptor kinase 4 polymorphisms: ß-blocker pharmacogenetics and treatment-related outcomes in hypertension. Hypertension. 2012 Oct; 60(4):957-64.
    View in: PubMed
    Score: 0.109
  12. Blood pressure responses and metabolic effects of hydrochlorothiazide and atenolol. Am J Hypertens. 2012 Mar; 25(3):359-65.
    View in: PubMed
    Score: 0.103
  13. Comparison of office, ambulatory, and home blood pressure antihypertensive response to atenolol and hydrochlorthiazide. J Clin Hypertens (Greenwich). 2010 Jan; 12(1):14-21.
    View in: PubMed
    Score: 0.091
  14. Impact of abdominal obesity on incidence of adverse metabolic effects associated with antihypertensive medications. Hypertension. 2010 Jan; 55(1):61-8.
    View in: PubMed
    Score: 0.090
  15. Genome-Wide Meta-Analysis of Blood Pressure Response to ß1-Blockers: Results From ICAPS (International Consortium of Antihypertensive Pharmacogenomics Studies). J Am Heart Assoc. 2019 08 20; 8(16):e013115.
    View in: PubMed
    Score: 0.044
  16. Genomic Association Analysis Reveals Variants Associated With Blood Pressure Response to Beta-Blockers in European Americans. Clin Transl Sci. 2019 09; 12(5):497-504.
    View in: PubMed
    Score: 0.044
  17. ß2 -Adrenergic Receptor Gene Affects the Heart Rate Response of ß-Blockers: Evidence From 3 Clinical Studies. J Clin Pharmacol. 2019 11; 59(11):1462-1470.
    View in: PubMed
    Score: 0.043
  18. Targeted sequencing identifies a missense variant in the BEST3 gene associated with antihypertensive response to hydrochlorothiazide. Pharmacogenet Genomics. 2018 11; 28(11):251-255.
    View in: PubMed
    Score: 0.042
  19. PROX1 gene variant is associated with fasting glucose change after antihypertensive treatment. Pharmacotherapy. 2014 Feb; 34(2):123-30.
    View in: PubMed
    Score: 0.029
  20. Genomic association analysis of common variants influencing antihypertensive response to hydrochlorothiazide. Hypertension. 2013 Aug; 62(2):391-7.
    View in: PubMed
    Score: 0.029
  21. Pharmacometabolomics reveals racial differences in response to atenolol treatment. PLoS One. 2013; 8(3):e57639.
    View in: PubMed
    Score: 0.028
  22. Hypertension susceptibility loci and blood pressure response to antihypertensives: results from the pharmacogenomic evaluation of antihypertensive responses study. Circ Cardiovasc Genet. 2012 Dec; 5(6):686-91.
    View in: PubMed
    Score: 0.028
  23. Power to identify a genetic predictor of antihypertensive drug response using different methods to measure blood pressure response. J Transl Med. 2012 Mar 13; 10:47.
    View in: PubMed
    Score: 0.026
  24. Pharmacogenomics of antihypertensive drugs: rationale and design of the Pharmacogenomic Evaluation of Antihypertensive Responses (PEAR) study. Am Heart J. 2009 Mar; 157(3):442-9.
    View in: PubMed
    Score: 0.021
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.