Disentangling archaic introgression and genomic signatures of selection at human immunity genes

Urnikyte, Alina; Masiulyte, Abigaile; Pranckeniene, Laura; Kučinskas, Vaidutis

doi:10.1016/j.meegid.2023.105528

Infection, Genetics and Evolution

2023

DOI: 10.1016/j.meegid.2023.105528

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Disentangling archaic introgression and genomic signatures of selection at human immunity genes

Alina Urnikyte,

Abigaile Masiulyte,

Laura Pranckeniene

et al.

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Cited by 2 publications

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Genomic data from species of the cat family Felidae promise to stimulate veterinary and human medical advances, and clarify the coherence of genome organization. We describe how interspecies hybrids have been instrumental in the genetic analysis of cats, from the first genetic maps to propelling cat genomes toward the T2T standard set by the human genome project. Genotype-to-phenotype mapping in cat models has revealed dozens of health-related genetic variants, the molecular basis for mammalian pigmentation and patterning, and species-specific adaptations. Improved genomic surveillance of natural and captive populations across the cat family tree will increase our understanding of the genetic architecture of traits, population dynamics, and guide a future of genome-enabled biodiversity conservation.

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Disentangling archaic introgression and genomic signatures of selection at human immunity genes

Cited by 2 publications

References 85 publications

Revisiting adaptive introgression at the HLA genes in Lithuanian genomes with machine learning

Revisiting adaptive introgression at the HLA genes in Lithuanian genomes with machine learning

Toward telomere-to-telomere cat genomes for precision medicine and conservation biology

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