Literature DB >> 30556221

Sex selection in late Iberian infant burials: Integrating evidence from morphological and genetic data.

Cristina Afonso1,2, Dominika Nociarova1, Cristina Santos1, Cristina Martinez-Labarga3, Imma Mestres4, Montserrat Duran4, Assumpció Malgosa1.   

Abstract

OBJECTIVE: The aim of this study was to analyze the infant burials found inside Iberian homes in relation to a possible case of sex selection.
METHODS: The study included the remains of 11 infant individuals buried under the 10 houses excavated in the late Iberian village of Camp de les Lloses (Tona, Barcelona, Spain). Sex was determined using genetic analysis.
RESULTS: Our results showed that almost all the burials were females. However, the age interval of death was wide enough to weaken the premise of infanticide, and the burials probably represent cases of natural death. DISCUSSION: Infanticide in its different forms has long been argued as an explanation for the infant remains found throughout various burial sites. Many authors thought that infanticide, mainly femicide, was the main method of population control in ancient times. However, there is no anthropological evidence (age distribution and sex analyzed genetically) to support the intentional killing of females in this or in other cases. We hypothesized that there was a positive selection for females to be buried inside the houses, probably related to their benefactor roles.
© 2018 Wiley Periodicals, Inc.

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Year:  2018        PMID: 30556221     DOI: 10.1002/ajhb.23204

Source DB:  PubMed          Journal:  Am J Hum Biol        ISSN: 1042-0533            Impact factor:   1.937


  1 in total

1.  A comparison of proteomic, genomic, and osteological methods of archaeological sex estimation.

Authors:  Tammy Buonasera; Jelmer Eerkens; Alida de Flamingh; Laurel Engbring; Julia Yip; Hongjie Li; Randall Haas; Diane DiGiuseppe; Dave Grant; Michelle Salemi; Charlene Nijmeh; Monica Arellano; Alan Leventhal; Brett Phinney; Brian F Byrd; Ripan S Malhi; Glendon Parker
Journal:  Sci Rep       Date:  2020-07-17       Impact factor: 4.379

  1 in total

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