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Naoharu Iwai

Researcher at Shiga University

Publications -  162
Citations -  13284

Naoharu Iwai is an academic researcher from Shiga University. The author has contributed to research in topics: Genotype & Population. The author has an hindex of 60, co-authored 162 publications receiving 12650 citations. Previous affiliations of Naoharu Iwai include Vanderbilt University & Shiga University of Medical Science.

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Genetic variants in novel pathways influence blood pressure and cardiovascular disease risk

Georg Ehret, +391 more
- 06 Oct 2011 - 
TL;DR: A genetic risk score based on 29 genome-wide significant variants was associated with hypertension, left ventricular wall thickness, stroke and coronary artery disease, but not kidney disease or kidney function, and these findings suggest potential novel therapeutic pathways for cardiovascular disease prevention.
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Cloning and expression of a complementary DNA encoding a bovine adrenal angiotensin II type-1 receptor

TL;DR: The expression cloning of a complementary DNA encoding a bovine angiotensin II receptor is reported to overcome the difficulties faced in purifying the receptor owing to its instability and low concentration.
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Meta-analysis of genome-wide association studies identifies common variants associated with blood pressure variation in east Asians

TL;DR: A meta-analysis of genome-wide association studies of systolic (SBP) and diastolic (DBP) blood pressure in 19,608 subjects of east Asian ancestry followed up with de novo genotyping and further replication in east Asian samples provides new insights into blood pressure regulation and potential targets for intervention.
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Plasma miR-208 as a Biomarker of Myocardial Injury

TL;DR: The plasma concentration of miR-208 may be a useful indicator of myocardial injury, and the results suggest that profiling of circulating miRNAs may help identify promising biomarkers of various pathologic conditions.
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Genetic associations at 53 loci highlight cell types and biological pathways relevant for kidney function

Cristian Pattaro, +735 more
TL;DR: A meta-analysis of genome-wide association studies for estimated glomerular filtration rate suggests that genetic determinants of eGFR are mediated largely through direct effects within the kidney and highlight important cell types and biological pathways.