Connection

ERIC BOERWINKLE to Diuretics

This is a "connection" page, showing publications ERIC BOERWINKLE has written about Diuretics.
Connection Strength

1.522
  1. Demographic, environmental, and genetic predictors of metabolic side effects of hydrochlorothiazide treatment in hypertensive subjects. Am J Hypertens. 2005 Aug; 18(8):1077-83.
    View in: PubMed
    Score: 0.237
  2. Interacting effects of gender and genotype on blood pressure response to hydrochlorothiazide. Kidney Int. 2002 Nov; 62(5):1718-23.
    View in: PubMed
    Score: 0.196
  3. Genome Wide Analysis Approach Suggests Chromosome 2 Locus to be Associated with Thiazide and Thiazide Like-Diuretics Blood Pressure Response. Sci Rep. 2019 11 21; 9(1):17323.
    View in: PubMed
    Score: 0.159
  4. Whole Transcriptome Sequencing Analyses Reveal Molecular Markers of Blood Pressure Response to Thiazide Diuretics. Sci Rep. 2017 11 22; 7(1):16068.
    View in: PubMed
    Score: 0.139
  5. 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: 0.111
  6. Hydrochlorothiazide-induced hyperuricaemia in the pharmacogenomic evaluation of antihypertensive responses study. J Intern Med. 2014 Nov; 276(5):486-97.
    View in: PubMed
    Score: 0.107
  7. Genomic association analysis of common variants influencing antihypertensive response to hydrochlorothiazide. Hypertension. 2013 Aug; 62(2):391-7.
    View in: PubMed
    Score: 0.102
  8. Genomic association analysis identifies multiple loci influencing antihypertensive response to an angiotensin II receptor blocker. Hypertension. 2012 Jun; 59(6):1204-11.
    View in: PubMed
    Score: 0.095
  9. Pharmacogenetic association of the NPPA T2238C genetic variant with cardiovascular disease outcomes in patients with hypertension. JAMA. 2008 Jan 23; 299(3):296-307.
    View in: PubMed
    Score: 0.070
  10. Multilocus effects of the renin-angiotensin-aldosterone system genes on blood pressure response to a thiazide diuretic. Pharmacogenomics J. 2004; 4(1):17-23.
    View in: PubMed
    Score: 0.053
  11. Effects of endothelial nitric oxide synthase, alpha-adducin, and other candidate gene polymorphisms on blood pressure response to hydrochlorothiazide. Am J Hypertens. 2003 Oct; 16(10):834-9.
    View in: PubMed
    Score: 0.052
  12. C825T polymorphism of the G protein beta(3)-subunit and antihypertensive response to a thiazide diuretic. Hypertension. 2001 Feb; 37(2 Pt 2):739-43.
    View in: PubMed
    Score: 0.043
  13. Genome-Wide and Gene-Based Meta-Analyses Identify Novel Loci Influencing Blood Pressure Response to Hydrochlorothiazide. Hypertension. 2017 01; 69(1):51-59.
    View in: PubMed
    Score: 0.032
  14. The effects of genes implicated in cardiovascular disease on blood pressure response to treatment among treatment-naive hypertensive African Americans in the GenHAT study. J Hum Hypertens. 2016 09; 30(9):549-54.
    View in: PubMed
    Score: 0.031
  15. RYR3 gene polymorphisms and cardiovascular disease outcomes in the context of antihypertensive treatment. Pharmacogenomics J. 2013 Aug; 13(4):330-4.
    View in: PubMed
    Score: 0.024
  16. Pharmacogenetic association of hypertension candidate genes with fasting glucose in the GenHAT Study. J Hypertens. 2010 Oct; 28(10):2076-83.
    View in: PubMed
    Score: 0.021
  17. Antihypertensive pharmacogenetic effect of fibrinogen-beta variant -455G>A on cardiovascular disease, end-stage renal disease, and mortality: the GenHAT study. Pharmacogenet Genomics. 2009 Jun; 19(6):415-21.
    View in: PubMed
    Score: 0.019
  18. 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: 0.019
  19. Reproducibility of blood pressure response to hydrochlorothiazide. J Clin Hypertens (Greenwich). 2002 Nov-Dec; 4(6):408-12.
    View in: PubMed
    Score: 0.012
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.