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Evangelia E. Ntzani

Researcher at University of Ioannina

Publications -  152
Citations -  12059

Evangelia E. Ntzani is an academic researcher from University of Ioannina. The author has contributed to research in topics: Medicine & Internal medicine. The author has an hindex of 41, co-authored 119 publications receiving 9915 citations. Previous affiliations of Evangelia E. Ntzani include University of Thessaly & Brown University.

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Replication validity of genetic association studies.

TL;DR: It is concluded that a systematic meta-analytic approach may assist in estimating population-wide effects of genetic risk factors in human disease.
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Genome-wide meta-analysis identifies 56 bone mineral density loci and reveals 14 loci associated with risk of fracture

Karol Estrada, +190 more
- 01 May 2012 - 
TL;DR: Light is shed on the genetic architecture and pathophysiological mechanisms underlying BMD variation and fracture susceptibility and within the RANK-RANKL-OPG, mesenchymal stem cell differentiation, endochondral ossification and Wnt signaling pathways.
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Association Between Omega-3 Fatty Acid Supplementation and Risk of Major Cardiovascular Disease Events: A Systematic Review and Meta-analysis

TL;DR: In this paper, a meta-regression analysis was performed for the omega-3 dose for the presence of blinding, the prevention settings, and patients with implantable cardioverter-defibrillators.
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Genetic associations in large versus small studies: an empirical assessment.

TL;DR: How often large studies arrive at different conclusions than smaller studies is assessed, and whether this situation arises more frequently when findings of first published studies disagree with those of subsequent research is assessed.
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Type 2 diabetes and cancer: umbrella review of meta-analyses of observational studies

TL;DR: Though type 2 diabetes has been extensively studied in relation to risk of developing cancer and cancer mortality and strong claims of significance exist for most of the studied associations, only a minority of these associations have robust supporting evidence without hints of bias.