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Genetic variation is abundant across individuals within a population, and it can explain a substantial proportion of the risk of disease and variation in quantitative phenotypes. An interesting thing about genetic variation is that it can be treated like a natural experiment, in which observing the genotype at a relevant locus is akin to observing the outcome of a randomly allocated treatment effect. This is the basis of Mendelian randomisation, a method for inferring causal relationships between phenotypes. Much of my current work focuses on developing statistical and computational methods to improve the scope and reliability of Mendelian randomisation.
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论文共 245 篇作者统计合作学者相似作者
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Nature Communicationsno. 1 (2024): 1-11
Journal of Neurology, Neurosurgery & Psychiatrypp.jnnp-2023, (2024)
Amanda H.W. Chong, Christopher Kintu,Yoonsu Cho,Segun Fatumo,Jason Torres,George Davey Smith,Tom R Gaunt,Gibran Hemani
medrxiv(2024)
medrxiv(2024)
Andrew Elmore, Nimish Adhikari,April E Hartley,Hugo Javier Aparicio, Dan C Posner,Gibran Hemani,Kate Tilling,Tom R Gaunt,Peter Wilson,J P Casas,John Michael Gaziano,George Davey Smith,
medRxiv : the preprint server for health sciences (2024)
Genetic epidemiologyno. 6 (2023): 461-462
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medRxiv (Cold Spring Harbor Laboratory) (2023)
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