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Jac Charlesworth

Researcher at Menzies Research Institute

Publications -  85
Citations -  2983

Jac Charlesworth is an academic researcher from Menzies Research Institute. The author has contributed to research in topics: Genome-wide association study & Population. The author has an hindex of 29, co-authored 79 publications receiving 2664 citations. Previous affiliations of Jac Charlesworth include University of Texas Health Science Center at San Antonio & University of Tasmania.

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Discovery of expression QTLs using large-scale transcriptional profiling in human lymphocytes.

TL;DR: To highlight the usefulness of this much-enlarged map of cis-regulated transcripts for the discovery of genes that influence complex traits in humans, as an example, high-density lipoprotein cholesterol concentration is selected as a phenotype of clinical importance and the cis- regulated vanin 1 (VNN1) gene is identified as harboring sequence variants that influence high- density lipop protein cholesterol concentrations.
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High dimensional endophenotype ranking in the search for major depression risk genes

TL;DR: The endophenotype ranking value is described, a new objective index of the genetic utility of endophenotypes for any heritable illness, and should spur new insights into the biological mechanisms that influence mental illnesses like major depression.
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Genetic Analysis Workshop 17 mini-exome simulation.

TL;DR: The data set simulated for Genetic Analysis Workshop 17 was designed to mimic a subset of data that might be produced in a full exome screen for a complex disorder and related risk factors in order to permit workshop participants to investigate issues of study design and statistical genetic analysis.
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Low-Frequency and Rare-Coding Variation Contributes to Multiple Sclerosis Risk

Mitja Mitrovic, +133 more
- 29 Nov 2018 - 
TL;DR: This work identifies four novel genes driving MS risk independently of common-variant signals, highlighting key pathogenic roles for regulatory T cell homeostasis and regulation, IFNγ biology, and NFκB signaling.
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Transcriptomic epidemiology of smoking: the effect of smoking on gene expression in lymphocytes.

TL;DR: This is the largest in vivo transcriptomic epidemiological study of smoking to date and reveals the significant and comprehensive influence of cigarette smoke, as an environmental variable, on the expression of genes.