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Guillaume Butler-Laporte

Researcher at McGill University

Publications -  72
Citations -  1522

Guillaume Butler-Laporte is an academic researcher from McGill University. The author has contributed to research in topics: Medicine & Biology. The author has an hindex of 10, co-authored 44 publications receiving 408 citations. Previous affiliations of Guillaume Butler-Laporte include Jewish General Hospital & McGill University Health Centre.

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Pan-ancestry exome-wide association analyses of COVID-19 outcomes in 586,157 individuals

Jack A. Kosmicki, +80 more
TL;DR: In this article, the authors used exome sequence data to investigate associations between rare genetic variants and seven COVID-19 outcomes in 586,157 individuals, including 20,952 with severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2), a respiratory illness causing hospitalization or death.
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Rare loss-of-function variants in type I IFN immunity genes are not associated with severe COVID-19

TL;DR: In this article, rare predicted loss-of-function (pLOF) variants across 13 candidate genes in TLR3- and IRF7-dependent type I IFN pathways explain up to 3.5% of severe COVID-19 cases.
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Diagnostic accuracy of serum (1-3)-β-D-glucan for Pneumocystis jirovecii pneumonia: a systematic review and meta-analysis

TL;DR: Among patients with higher likelihood of PJP, the pooled sensitivity of BDG is insufficient to exclude infection and for most cases the pooled specificity is inadequate to diagnose PJP.
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A first update on mapping the human genetic architecture of COVID-19

Gita A. Pathak, +822 more
- 04 Aug 2022 - 
TL;DR: A genome-wide association study meta-analysis of up to 125,584 cases and over 2.5 million control individuals across 60 studies from 25 countries reveals compelling insights regarding disease susceptibility and severity.
Posted ContentDOI

Age-dependent impact of the major common genetic risk factor for COVID-19 on severity and mortality

TL;DR: In this article, the authors characterized the clinical implications of the major genetic risk factor for COVID-19 severity, and its age-dependent effect, using individual-level data in a large international multi-centre consortium.