An exploratory exome-wide machine learning analysis identifies candidate host gene signatures associated with Long COVID in a large admixed Brazilian cohort

Abstract excerpt

Introduction Genetic factors have been suggested as modifiers of vulnerability to postCOVID-19 sequelae, referred to as Long COVID (LC). We hypothesize that LC may involve central nervous system (CNS)-related mechanisms, influenced by neuroinflammatory, autoimmune, viral mechanisms, and genetic factors. In this work, we used whole-exome sequencing in conjunction with a machine learning-based prioritization...

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