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David Melzer

Researcher at University of Exeter

Publications -  341
Citations -  37800

David Melzer is an academic researcher from University of Exeter. The author has contributed to research in topics: Population & Genome-wide association study. The author has an hindex of 80, co-authored 328 publications receiving 33458 citations. Previous affiliations of David Melzer include Dalhousie University & Royal Devon and Exeter Hospital.

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Epigenetic Signatures of Cigarette Smoking

Roby Joehanes, +86 more
TL;DR: Cigarette smoking has a broad impact on genome-wide methylation that, at many loci, persists many years aftersmoking cessation, indicating a pattern of persistent altered methylation, with attenuation, after smoking cessation.
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Social inequalities and the common mental disorders: a systematic review of the evidence.

TL;DR: More precise indicators of education, employment and material circumstances are better markers of increased rates than occupational social class, which are significantly more frequent in socially disadvantaged populations.
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Association of Urinary Bisphenol A Concentration with Heart Disease: Evidence from NHANES 2003/06

TL;DR: Higher BPA exposure, reflected in higher urinary concentrations of BPA, is consistently associated with reported heart disease in the general adult population of the USA.
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The transcriptional landscape of age in human peripheral blood

Marjolein J. Peters, +158 more
TL;DR: Differences between transcriptomic age and chronological age are associated with biological features linked to ageing, such as blood pressure, cholesterol levels, fasting glucose, and body mass index and the transcriptomic prediction model adds biological relevance and complements existing epigenetic prediction models.
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Novel Loci for Adiponectin Levels and Their Influence on Type 2 Diabetes and Metabolic Traits: A Multi-Ethnic Meta-Analysis of 45,891 Individuals

Zari Dastani, +618 more
- 29 Mar 2012 - 
TL;DR: A meta-analysis of genome-wide association studies in 39,883 individuals of European ancestry to identify genes associated with metabolic disease identifies novel genetic determinants of adiponectin levels, which, taken together, influence risk of T2D and markers of insulin resistance.