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Abstract
Despite the clear potential of livestock models of human functional variants to provide important insights into the biological mechanisms driving human diseases and traits, their use to date has been limited. Generating such models via genome editing is costly and time consuming, and it is unclear which variants will have conserved effects across species. In this study we address these issues by studying naturally occurring livestock models of human functional variants. We show that orthologues of over 1.6 million human variants are already segregating in domesticated mammalian species, including several hundred previously directly linked to human traits and diseases. Models of variants linked to particular phenotypes, including metabolomic disorders and height, are preferentially shared across species, meaning studying the genetic basis of these phenotypes is particularly tractable in livestock. Using machine learning we demonstrate it is possible to identify human variants that are more likely to have an existing livestock orthologue, and, importantly, we show that the effects of functional variants are often conserved in livestock, acting on orthologous genes with the same direction of effect. Consequently, this work demonstrates the substantial potential of naturally occurring livestock carriers of orthologues of human functional variants to disentangle their functional impacts.
An investigation of genetic variants that exist across human and livestock species supports the clear potential of livestock models in providing insights into the mechanisms driving human diseases and traits.
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1 University of Edinburgh, Easter Bush Campus, The Roslin Institute, Midlothian, UK (GRID:grid.4305.2) (ISNI:0000 0004 1936 7988)
2 Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou, China (GRID:grid.494629.4) (ISNI:0000 0004 8008 9315)
3 Agricultural Research Service, USDA, Animal Genomics and Improvement Laboratory, Henry A. Wallace Beltsville Agricultural Research Center, Agricultural Research Service, Beltsville, USA (GRID:grid.508984.8)
4 EPCC, Bayes Centre, Edinburgh, UK (GRID:grid.508984.8)