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Connection

Arlene Chapman to Polymorphism, Single Nucleotide

This is a "connection" page, showing publications Arlene Chapman has written about Polymorphism, Single Nucleotide.
  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: 0.342
  2. Hypertensive APOL1 risk allele carriers demonstrate greater blood pressure reduction with angiotensin receptor blockade compared to low risk carriers. PLoS One. 2019; 14(9):e0221957.
    View in: PubMed
    Score: 0.097
  3. The future of pharmacogenetics in the treatment of hypertension. Pharmacogenomics. 2019 02; 20(3):129-132.
    View in: PubMed
    Score: 0.094
  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: 0.088
  5. Genome Wide Association Study Identifies the HMGCS2 Locus to be Associated With Chlorthalidone Induced Glucose Increase in Hypertensive Patients. J Am Heart Assoc. 2018 03 09; 7(6).
    View in: PubMed
    Score: 0.088
  6. 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: 0.087
  7. Genome-Wide Prioritization and Transcriptomics Reveal Novel Signatures Associated With Thiazide Diuretics Blood Pressure Response. Circ Cardiovasc Genet. 2017 Jan; 10(1).
    View in: PubMed
    Score: 0.081
  8. Large-scale gene-centric analysis identifies polymorphisms for resistant hypertension. J Am Heart Assoc. 2014 Nov 10; 3(6):e001398.
    View in: PubMed
    Score: 0.070
  9. Genomic association analysis of common variants influencing antihypertensive response to hydrochlorothiazide. Hypertension. 2013 Aug; 62(2):391-7.
    View in: PubMed
    Score: 0.063
  10. Impact of genetic polymorphisms of SLC2A2, SLC2A5, and KHK on metabolic phenotypes in hypertensive individuals. PLoS One. 2013; 8(1):e52062.
    View in: PubMed
    Score: 0.061
  11. Response to genomic association analysis identifies multiple loci influencing antihypertensive response to an angiotensin II receptor blocker. Hypertension. 2013 Jan; 61(1):e6.
    View in: PubMed
    Score: 0.061
  12. 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: 0.060
  13. 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: 0.058
  14. Effects of genetic variation in H3K79 methylation regulatory genes on clinical blood pressure and blood pressure response to hydrochlorothiazide. J Transl Med. 2012 Mar 22; 10:56.
    View in: PubMed
    Score: 0.058
  15. Polymorphisms in genes coding for GRK2 and GRK5 and response differences in antihypertensive-treated patients. Pharmacogenet Genomics. 2011 Jan; 21(1):42-9.
    View in: PubMed
    Score: 0.053
  16. Lack of association between polymorphisms in STK39, a putative thiazide response gene, and blood pressure response to hydrochlorothiazide. Pharmacogenet Genomics. 2010 Aug; 20(8):516-9.
    View in: PubMed
    Score: 0.052
  17. WNK1 kinase polymorphism and blood pressure response to a thiazide diuretic. Hypertension. 2005 Oct; 46(4):758-65.
    View in: PubMed
    Score: 0.037
  18. Examination of Metoprolol Pharmacokinetics and Pharmacodynamics Across CYP2D6 Genotype-Derived Activity Scores. CPT Pharmacometrics Syst Pharmacol. 2020 12; 9(12):678-685.
    View in: PubMed
    Score: 0.026
  19. 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: 0.025
  20. 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: 0.024
  21. 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: 0.024
  22. 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: 0.023
  23. PTPRD gene associated with blood pressure response to atenolol and resistant hypertension. J Hypertens. 2015 Nov; 33(11):2278-85.
    View in: PubMed
    Score: 0.019
  24. Pharmacogenomics of hypertension: a genome-wide, placebo-controlled cross-over study, using four classes of antihypertensive drugs. J Am Heart Assoc. 2015 Jan 26; 4(1):e001521.
    View in: PubMed
    Score: 0.018
  25. PROX1 gene variant is associated with fasting glucose change after antihypertensive treatment. Pharmacotherapy. 2014 Feb; 34(2):123-30.
    View in: PubMed
    Score: 0.016
  26. Atenolol induced HDL-C change in the pharmacogenomic evaluation of antihypertensive responses (PEAR) study. PLoS One. 2013; 8(10):e76984.
    View in: PubMed
    Score: 0.016
  27. Association of variants in NEDD4L with blood pressure response and adverse cardiovascular outcomes in hypertensive patients treated with thiazide diuretics. J Hypertens. 2013 Apr; 31(4):698-704.
    View in: PubMed
    Score: 0.016
  28. Pharmacometabolomics reveals racial differences in response to atenolol treatment. PLoS One. 2013; 8(3):e57639.
    View in: PubMed
    Score: 0.015
  29. 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: 0.015
  30. 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: 0.014
  31. Kininogen gene (KNG) variation has a consistent effect on aldosterone response to antihypertensive drug therapy: the GERA study. Physiol Genomics. 2009 Sep 09; 39(1):56-60.
    View in: PubMed
    Score: 0.012
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Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.