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1. Integrated metabolomics analysis reveals mechanistic insights into variability in blood pressure response to thiazide diuretics and beta blockers.

2. Circulating microRNA Biomarkers of Thiazide Response in Hypertension.

3. Pairwise comparison of hydrochlorothiazide and chlorthalidone responses among hypertensive patients.

4. Design and rationale of GUARDD-US: A pragmatic, randomized trial of genetic testing for APOL1 and pharmacogenomic predictors of antihypertensive efficacy in patients with hypertension.

5. Genetic Contributors of Efficacy and Adverse Metabolic Effects of Chlorthalidone in African Americans from the Genetics of Hypertension Associated Treatments (GenHAT) Study.

6. Adverse Cardiovascular Outcomes and Antihypertensive Treatment: A Genome-Wide Interaction Meta-Analysis in the International Consortium for Antihypertensive Pharmacogenomics Studies.

7. Race-Specific Comparisons of Antihypertensive and Metabolic Effects of Hydrochlorothiazide and Chlorthalidone.

8. Sorting nexin 1 loss results in increased oxidative stress and hypertension.

9. Combination Antihypertensive Therapy Prescribing and Blood Pressure Control in a Real-World Setting.

11. Genome Wide Analysis Approach Suggests Chromosome 2 Locus to be Associated with Thiazide and Thiazide Like-Diuretics Blood Pressure Response.

12. Hypertensive APOL1 risk allele carriers demonstrate greater blood pressure reduction with angiotensin receptor blockade compared to low risk carriers.

13. Gene Variants at Loci Related to Blood Pressure Account for Variation in Response to Antihypertensive Drugs Between Black and White Individuals.

14. Genome-Wide Meta-Analysis of Blood Pressure Response to β 1 -Blockers: Results From ICAPS (International Consortium of Antihypertensive Pharmacogenomics Studies).

15. Genome-wide association analysis of common genetic variants of resistant hypertension.

16. Antihypertensive therapy prescribing patterns and correlates of blood pressure control among hypertensive patients with chronic kidney disease.

17. Targeted sequencing identifies a missense variant in the BEST3 gene associated with antihypertensive response to hydrochlorothiazide.

18. Implementation of the Chronic Care Model to Reduce Disparities in Hypertension Control: Benefits Take Time.

19. Genetic Variants Influencing Plasma Renin Activity in Hypertensive Patients From the PEAR Study (Pharmacogenomic Evaluation of Antihypertensive Responses).

20. Sphingolipid Metabolic Pathway Impacts Thiazide Diuretics Blood Pressure Response: Insights From Genomics, Metabolomics, and Lipidomics.

21. Blood pressure response to metoprolol and chlorthalidone in European and African Americans with hypertension.

22. Genetic Variants Associated With Uncontrolled Blood Pressure on Thiazide Diuretic/β-Blocker Combination Therapy in the PEAR (Pharmacogenomic Evaluation of Antihypertensive Responses) and INVEST (International Verapamil-SR Trandolapril Study) Trials.

23. Genome-wide study of resistant hypertension identified from electronic health records.

24. Genome-Wide and Gene-Based Meta-Analyses Identify Novel Loci Influencing Blood Pressure Response to Hydrochlorothiazide.

25. Genome-Wide Prioritization and Transcriptomics Reveal Novel Signatures Associated With Thiazide Diuretics Blood Pressure Response.

26. Comparison of Blood Pressure Control Rates Among Recommended Drug Selection Strategies for Initial Therapy of Hypertension.

27. A Genetic Response Score for Hydrochlorothiazide Use: Insights From Genomics and Metabolomics Integration.

28. Pharmacogenomic Genome-Wide Meta-Analysis of Blood Pressure Response to β-Blockers in Hypertensive African Americans.

29. Identification of Suitable Endogenous Normalizers for qRT-PCR Analysis of Plasma microRNA Expression in Essential Hypertension.

30. Hypertension pharmacogenomics: in search of personalized treatment approaches.

31. Vascular Smooth Muscle Cells From Hypertensive Patient-Derived Induced Pluripotent Stem Cells to Advance Hypertension Pharmacogenomics.

32. PTPRD gene associated with blood pressure response to atenolol and resistant hypertension.

33. Association of branched and aromatic amino acids levels with metabolic syndrome and impaired fasting glucose in hypertensive patients.

34. TET2 and CSMD1 genes affect SBP response to hydrochlorothiazide in never-treated essential hypertensives.

35. Pharmacogenomics of hypertension: a genome‐wide, placebo‐controlled cross‐over study, using four classes of antihypertensive drugs.

36. Large-scale gene-centric analysis identifies polymorphisms for resistant hypertension.

37. Predictors for glucose change in hypertensive participants following short-term treatment with atenolol or hydrochlorothiazide.

38. Alteration in fasting glucose after prolonged treatment with a thiazide diuretic.

39. Night blood pressure responses to atenolol and hydrochlorothiazide in black and white patients with essential hypertension.

40. Is diabetes mellitus-linked amino acid signature associated with β-blocker-induced impaired fasting glucose?

41. Baseline predictors of central aortic blood pressure: a PEAR substudy.

42. PROX1 gene variant is associated with fasting glucose change after antihypertensive treatment.

43. Impact of TCF7L2 single nucleotide polymorphisms on hydrochlorothiazide-induced diabetes.

44. Atenolol induced HDL-C change in the pharmacogenomic evaluation of antihypertensive responses (PEAR) study.

45. Changes in biomarkers and 24 hours blood pressure in hypertensive African Americans with the metabolic syndrome: comparison of amlodipine/olmesartan versus hydrochlorothiazide/losartan.

46. Genomic association analysis of common variants influencing antihypertensive response to hydrochlorothiazide.

47. Association of variants in NEDD4L with blood pressure response and adverse cardiovascular outcomes in hypertensive patients treated with thiazide diuretics.

48. Lack of association of the HMGA1 IVS5-13insC variant with type 2 diabetes in an ethnically diverse hypertensive case control cohort.

49. Pharmacometabolomics reveals racial differences in response to atenolol treatment.

50. Impact of genetic polymorphisms of SLC2A2, SLC2A5, and KHK on metabolic phenotypes in hypertensive individuals.

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