Collider bias undermines our understanding of COVID-19 disease risk and severity

Autor: Gareth J. Griffith, Tim T. Morris, Matthew J. Tudball, Annie Herbert, Giulia Mancano, Lindsey Pike, Gemma C. Sharp, Jonathan Sterne, Tom M. Palmer, George Davey Smith, Kate Tilling, Luisa Zuccolo, Neil M. Davies, Gibran Hemani

Publikováno v: Nature Communications, Vol 11, Iss 1, Pp 1-12 (2020)

Many published studies of the current SARS-CoV-2 pandemic have analysed data from non-representative samples from populations. Here, using UK BioBank samples, Gibran Hemani and colleagues discuss the potential for such studies to suffer from collider

Externí odkaz: https://doaj.org/article/09f9c535f46548a4a4affd7e1fc10cce

A phenome-wide bidirectional Mendelian randomization analysis of atrial fibrillation

Autor: Qin Wang, Tom G Richardson, Eleanor Sanderson, Matthew J Tudball, Mika Ala-Korpela, George Davey Smith, Michael V Holmes

Publikováno v: Wang, Q, Richardson, T G, Sanderson, E C M, Ala-Korpela, M J, Davey Smith, G & Holmes, M V 2022, ' A phenome-wide bidirectional Mendelian randomization analysis of atrial fibrillation ', International Journal of Epidemiology, vol. 51, no. 4, dyac041, pp. 1153-1166 . https://doi.org/10.1093/ije/dyac041

Background The prevalence of atrial fibrillation (AF) is increasing with an aging worldwide population, yet a comprehensive understanding of its causes and consequences remains limited. We aim to assess the causes and consequences of AF via a bidirec

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::75135b530b1b087494d9c9b46dadd4f3
https://doi.org/10.1093/ije/dyac041

Collider bias undermines our understanding of COVID-19 disease risk and severity

Autor: Gibran Hemani, Neil M Davies, Kate Tilling, Annie Herbert, George Davey Smith, Gareth J Griffith, Luisa Zuccolo, Jonathan A C Sterne, Giulia Mancano, Lindsey Pike, Tom Palmer, Matthew J. Tudball, Tim T Morris, Gemma C Sharp

Publikováno v: Nature Communications, Vol 11, Iss 1, Pp 1-12 (2020)
Nature Communications
Griffith, G J, Morris, T T, Tudball, M J, Herbert, A, Mancano, G, Pike, L, Sharp, G C, Sterne, J, Palmer, T M, Davey Smith, G, Tilling, K, Zuccolo, L, Davies, N M & Hemani, G 2020, ' Collider bias undermines our understanding of COVID-19 disease risk and severity ', Nature Communications, vol. 11, 5749 (2020) . https://doi.org/10.1038/s41467-020-19478-2

Numerous observational studies have attempted to identify risk factors for infection with SARS-CoV-2 and COVID-19 disease outcomes. Studies have used datasets sampled from patients admitted to hospital, people tested for active infection, or people w

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::65071664fa6a77fcd840a5486e1b7439
http://link.springer.com/article/10.1038/s41467-020-19478-2

Mendelian randomisation with coarsened exposures

Autor: Jack Bowden, Kate Tilling, Rachael A. Hughes, Matthew J. Tudball, Qingyuan Zhao, Marcus R. Munafò, Amanda Ly, George Davey Smith

Publikováno v: Tudball, M J, Bowden, J, Hughes, R, Ly, A, Munafo, M R, Tilling, K M, Zhao, Q & Davey Smith, G 2021, ' Mendelian randomisation with coarsened exposures ', Genetic Epidemiology, vol. 45, no. 3, pp. 338-350 . https://doi.org/10.1002/gepi.22376
Genetic Epidemiology

A key assumption in Mendelian randomisation is that the relationship between the genetic instruments and the outcome is fully mediated by the exposure, known as the exclusion restriction assumption. However, in epidemiological studies, the exposure i

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5b61df1904b922d7648b3b38ffc122d7
https://research-information.bris.ac.uk/en/publications/71d9ca47-0044-4eb2-8f0b-6dbc98196786

A simple framework for Mendelian randomisation of latent continuous exposures with discrete measurements

Autor: Kate Tilling, Jack Bowden, Matthew J. Tudball, Rachael A. Hughes, Amanda Ly, Marcus R. Munafò, George Davey Smith, Qingyuan Zhao

A key assumption in Mendelian randomisation is that the relationship between the genetic instruments and the outcome is fully mediated by the exposure measurement, known as the exclusion restriction assumption. However, in epidemiological studies, th

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f87c34b1ef2d6bc4029110c1f7a4a83f