Genetic adaptation to pathogens and increased risk of inflammatory disorders in post-Neolithic Europe

新石器时代后欧洲病原体的遗传适应与炎症性疾病风险增加

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作者:Gaspard Kerner ,Anna-Lena Neehus ,Quentin Philippot ,Jonathan Bohlen ,Darawan Rinchai ,Nacim Kerrouche ,Anne Puel ,Shen-Ying Zhang ,Stéphanie Boisson-Dupuis ,Laurent Abel ,Jean-Laurent Casanova ,Etienne Patin ,Guillaume Laval ,Lluis Quintana-Murci

Abstract

Ancient genomics can directly detect human genetic adaptation to environmental cues. However, it remains unclear how pathogens have exerted selective pressures on human genome diversity across different epochs and affected present-day inflammatory disease risk. Here, we use an ancestry-aware approximate Bayesian computation framework to estimate the nature, strength, and time of onset of selection acting on 2,879 ancient and modern European genomes from the last 10,000 years. We found that the bulk of genetic adaptation occurred after the start of the Bronze Age, <4,500 years ago, and was enriched in genes relating to host-pathogen interactions. Furthermore, we detected directional selection acting on specific leukocytic lineages and experimentally demonstrated that the strongest negatively selected candidate variant in immunity genes, lipopolysaccharide-binding protein (LBP) D283G, is hypomorphic. Finally, our analyses suggest that the risk of inflammatory disorders has increased in post-Neolithic Europeans, possibly because of antagonistic pleiotropy following genetic adaptation to pathogens. Keywords: LBP; ancient DNA; antagonistic pleiotropy; approximate Bayesian computation; host defense; immunity; infectious diseases; inflammatory disorders; local adaptation; natural selection.

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