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The conservation of human functional variants and their effects across livestock species

Biology

The conservation of human functional variants and their effects across livestock species

R. Zhao, A. Talenti, et al.

This exciting research reveals the prevalence and impact of human functional variants in livestock species, uncovering that over 1.6 million human variants have orthologues in domesticated mammals. The authors employed machine learning to highlight the conserved effects of these variants across species, showcasing livestock as valuable models for studying human genetics.... show more
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.
Publisher
Communications Biology
Published On
Sep 21, 2022
Authors
Rongrong Zhao, Andrea Talenti, Lingzhao Fang, Shuli Liu, George Liu, Neil P. Chue Hong, Albert Tenesa, Musa Hassan, James G. D. Prendergast
Tags
functional variants
livestock
human traits
machine learning
genetic variants
domesticated mammals
orthologues
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