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Rong Jiang

Researcher at Duke University

Publications -  19
Citations -  348

Rong Jiang is an academic researcher from Duke University. The author has contributed to research in topics: Coronary artery disease & Medicine. The author has an hindex of 9, co-authored 15 publications receiving 219 citations.

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Genome-wide analysis identifies novel susceptibility loci for myocardial infarction

Jaana Hartiala, +68 more
TL;DR: A large-scale analysis comprising ∼831 000 subjects revealed novel genetic determinants of MI and implicated SLC44A3 in the pathophysiology of vulnerable plaques and thrombus formation as mentioned in this paper.
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Gene by stress genome-wide interaction analysis and path analysis identify EBF1 as a cardiovascular and metabolic risk gene.

TL;DR: Analysis of related phenotypes identified gene-by-stress interaction effects for waist circumference, body mass index (BMI), fasting glucose, type II diabetes status, and common carotid intimal–medial thickness (CCIMT), supporting a proposed model of gene- by- stress interaction that connects cardiovascular disease (CVD) risk factor endophenotypes such as central obesity and increased blood glucose or diabetes to CVD itself.
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Brain-derived neurotrophic factor (BDNF) Val66Met polymorphism interacts with gender to influence cortisol responses to mental stress.

TL;DR: The present findings indicate the gender differences in the effect of Val66Met genotype on the cortisol responses to stress protocol, and extend the evidence for the importance of gender and the role of Val 66Met in the modulation of stress reactivity and subsequent depression prevalence.
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Socioeconomic indices as independent correlates of C-reactive protein in the National Longitudinal Study of Adolescent Health.

TL;DR: Race and sex play a role in how potential mediators are involved with the SES-CRP relationship, such that BMI and smoking were mediators in white men, whereas BMI was the sole mediator in white women.
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Brain-derived neurotrophic factor rs6265 (Val66Met) polymorphism is associated with disease severity and incidence of cardiovascular events in a patient cohort

TL;DR: The Val66Met genotype was associated with greater severity of CAD and incidence of CVD‐related clinical events in a patient sample, and intervention studies in clinical groups with the Val/Val genotype could be undertaken to prevent disease and improve prognosis.