
Guillaume Butler-Laporte
@gbl_unit
A twitter account following math, medicine, infectious diseases, genetics, and some wrestling.
ID: 1114181941270581248
05-04-2019 15:04:10
415 Tweet
306 Takipçi
787 Takip Edilen

Happy to share our work showing that circulating proteins can predict COVID-19 severity 🥳 Our study in Scientific Reports identifies biomarkers to improve patient care! #COVID19 #biomarkers Thanks to Sirui Zhou, Edgar Gonzalez-Kozlova, and brent richards! nature.com/articles/s4159… 🧵:





Epidemiology is hard. Causal inference is hard. Easy to reach wrong conclusions even with the best of intents. Thanks to Gus Hamilton for leading this. Hopefully the headaches we had trying to piece this together will spare some for others.

Just a warning for researchers using DNAnexus, Inc. UK Biobank RAP: check your billing carefully. They will double, triple, even quadruple bill you. And then not answer your messages, even when you send full reports proving they overcharged you.


Another beautiful piece from Guillaume Butler-Laporte Who else routinely discards MHC in genomic analyses as I do? Maybe it is time to face the dragon! medrxiv.org/content/10.110…

La RAMQ paye pour une chirurgie bariatrique pour perdre du poids, mais ne paye pas pour un médicament en injection hebdomadaire pour perdre ce même poids. Brillant. Si vous voulez perdre du poids, commencez par en prendre. La ramq paiera /s Christian Dubé François Legault



Honoré de recevoir la bourse doctorale du FRQ - secteur Nature et technologies. I am grateful to my supervisor, Guillaume Butler-Laporte , committee members, Satoshi Yoshiji , Dr. Christoph Borchers , Dr. Robert Sladek, and Quantitative Life Sciences for your support. It will support me to uncover the causality of plasma proteins in MASLD.


Congratulations to our colleagues in Infectious Diseases with 4 FRQ awards. Todd C. Lee Guillaume Butler-Laporte and Drs. Lawandi & Costiniuk (not on Twitter-X)

We do Mendelian randomization, expecting that randomization at conception enables causal inference. But even if nature really does (partial) randomization, have we broken it? Our perspective on biases in MR due to the data or methods used Endocrine Society Journals doi.org/10.1210/clinem…


