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About the Authors:
Yuri Tani Utsunomiya
Affiliation: Departamento de Medicina Veterinária Preventiva e Reprodução Animal, Faculdade de Ciências Agrárias e Veterinárias, UNESP - Univ Estadual Paulista, Jaboticabal, São Paulo, Brazil
Ana Maria Pérez O’Brien
Affiliation: Division of Livestock Sciences, Department of Sustainable Agricultural Systems, BOKU - University of Natural Resources and Life Sciences, Vienna, Austria
Tad Stewart Sonstegard
Affiliation: Bovine Functional Genomics Laboratory, ARS-USDA - Agricultural Research Service - United States Department of Agriculture, Beltsville, Maryland, United States of America
Curtis Paul Van Tassell
Affiliation: Bovine Functional Genomics Laboratory, ARS-USDA - Agricultural Research Service - United States Department of Agriculture, Beltsville, Maryland, United States of America
Adriana Santana do Carmo
Affiliation: Departamento de Medicina Veterinária Preventiva e Reprodução Animal, Faculdade de Ciências Agrárias e Veterinárias, UNESP - Univ Estadual Paulista, Jaboticabal, São Paulo, Brazil
Gábor Mészáros
Affiliation: Division of Livestock Sciences, Department of Sustainable Agricultural Systems, BOKU - University of Natural Resources and Life Sciences, Vienna, Austria
Johann Sölkner
* E-mail: [email protected] (JS); [email protected] (JFG)
Affiliation: Division of Livestock Sciences, Department of Sustainable Agricultural Systems, BOKU - University of Natural Resources and Life Sciences, Vienna, Austria
José Fernando Garcia
* E-mail: [email protected] (JS); [email protected] (JFG)
Affiliations Departamento de Medicina Veterinária Preventiva e Reprodução Animal, Faculdade de Ciências Agrárias e Veterinárias, UNESP - Univ Estadual Paulista, Jaboticabal, São Paulo, Brazil, Departamento de Apoio, Saúde e Produção Animal, Faculdade de Medicina Veterinária de Araçatuba, UNESP - Univ Estadual Paulista, Araçatuba, São Paulo, Brazil
Introduction
Selection changes the frequency of advantageous variants and their neighbor polymorphic sites, sweeping the genome and leaving patterns that become prevalent in a population despite chromosome recombination [1]. These patterns are broadly referred as signatures (or footprints) of selection, and many methods have been developed for identifying them from genomic data [2]. The application of such approaches to dairy and beef cattle can help detecting chromosome regions that underwent not only natural but also anthropogenic selection, and that may be associated with traits of economic interest.
The available portfolio of methodologies varies in terms of the underlying selection processes assumed, the age of the sweep, and if the test is performed within-population or depends on population comparisons (Table 1). In this scenario, one may expect that correlations among different tests are weak. However,...