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Christopher J. O'Donnell

Researcher at VA Boston Healthcare System

Publications -  914
Citations -  140860

Christopher J. O'Donnell is an academic researcher from VA Boston Healthcare System. The author has contributed to research in topics: Framingham Heart Study & Genome-wide association study. The author has an hindex of 159, co-authored 869 publications receiving 126278 citations. Previous affiliations of Christopher J. O'Donnell include Brown University & Veterans Health Administration.

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Fatal skull trauma in caged layer chickens associated with a moving feed hopper: diagnosis based on autopsy examination, forensic computed tomography and farm visit

TL;DR: This case highlights the value of post-mortem CT imaging in bird death investigation where trauma is a postulated cause and a recommendation was made to reverse the shed “lights on” and feed hopper operation times with instant reduction in mortality.
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Genome-wide transcriptome study using deep RNA sequencing for myocardial infarction and coronary artery calcification.

TL;DR: In this article, paired-end RNA sequencing on whole blood collected from 198 Framingham Heart Study participants (55 with a history of early MI, 72 with high CAC without prior MI, and 71 controls free of elevated CAC levels or history of MI) was applied DESeq2 to identify coding-genes and long intergenic noncoding RNAs (lincRNAs) differentially expressed in early MI and high coronary artery calcification, respectively, compared with the control.
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Coronary Artery Disease Risk of Familial Hypercholesterolemia Genetic Variants Independent of Clinically Observed Longitudinal Cholesterol Exposure

TL;DR: The risk associated with carrying an FH variant cannot be fully captured by the LDL-C data available in the electronic health record, even when considering multiple cholesterol measurements spanning more than a decade.
Posted ContentDOI

Measuring the Impact of Staple Strength-Enhancing Technologies on Australian Wool Producer Profits: A Duality-Based Approach

TL;DR: In this article, a duality-based modeling framework is implemented to assess the economic impact of staple strength-enhancing research on the profits of Australian woolgrowers, and a normalized quadratic profit function is specified and estimated.