Incorporating machine learning approaches to assess putative environmental risk factors for multiple sclerosis.

Ellen M Mowry,Anna K Hedström,Milena A Gianfrancesco,Xiaorong Shao,Catherine A Schaefer,Ling Shen,Kalliope H Bellesis,Farren B S Briggs,Tomas Olsson,Lars Alfredsson,Lisa F Barcellos

Multiple Sclerosis and Related Disorders（2018）

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摘要

•The study uses a machine-learning algorithm to evaluate multiple candidate environmental risk factors for MS with a penalty for multiple testing.•There was a trend among males positive for HLA-DRB1*1501 who have MS to have had exposure to pesticides compared to healthy control males.

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