Exploring business intelligence and its depth of maturity in Thai SMEs

par Waranpong Boonsiritomachai, G. Michael McGrath, Stephen Burgess
Publié 2016

Selecting likely causal risk factors from high-throughput experiments using multivariable Mendelian randomization

par Verena Zuber, Johanna Maria Colijn, Caroline Klaver, Stephen Burgess
Publié 2020

A robust and efficient method for Mendelian randomization with hundreds of genetic variants

par Stephen Burgess, Christopher N Foley, Elias Allara, James R Staley, Joanna M. M. Howson
Publié 2020

Discordant associations of educational attainment with ASD and ADHD implicate a polygenic form of pleiotropy

par Ellen Verhoef, Jakob Grove, Chin Yang Shapland, Ditte Demontis, Stephen Burgess, Dheeraj Rai, Anders D. Børglum, Beate St Pourcain
Publié 2021

Leveraging Genetic Data to Elucidate the Relationship Between COVID‐19 and Ischemic Stroke

par Verena Zuber, Alan Cameron, Evangelos P. Myserlis, Leonardo Bottolo, Israel Fernandez‐Cadenas, Stephen Burgess, Christopher D. Anderson, Jesse Dawson, Dipender Gill
Publié 2021

Assessing the causal association of glycine with risk of cardio-metabolic diseases

par Laura B. L. Wittemans, Luca A. Lotta, Clare Oliver-Williams, Isobel D. Stewart, Praveen Surendran, Savita Karthikeyan, Felix R. Day, Albert Koulman, Fumiaki Imamura, Lingyao Zeng, Jeanette Erdmann, Heribert Schunkert, Kay-Tee Khaw, Julian L. Griffin, Nita G. Forouhi, Robert A. Scott, Angela M. Wood, Stephen Burgess, Joanna M. M. Howson, John Danesh, Nicholas J. Wareham, Adam S. Butterworth, Claudia Langenberg
Publié 2019