Evidence map›Paper›PMID 30575013›Full record

ArticleAmerican journal of physical anthropology2019

Evaluating macroscopic sex estimation methods using genetically sexed archaeological material: The medieval skeletal collection from St John's Divinity School, Cambridge.

Sarah Inskip, Christiana L Scheib, Anthony Wilder Wohns, Xiangyu Ge, Toomas Kivisild, John Robb

Abstract readHistorical Article
In one paragraph

Article in American journal of physical anthropology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

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15citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

Who cites it

15 citing papers in PubMed.

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  13. Gout and 'Podagra' in medieval Cambridge, England.International journal of paleopathology · 2021
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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Sarah InskipMcDonald Institute for Archaeological Research, University of Cambridge, Cambridge, United Kingdom.ORCID 0000-0001-7424-2094
Christiana L ScheibMcDonald Institute for Archaeological Research, University of Cambridge, Cambridge, United Kingdom.
Anthony Wilder WohnsBig Data Institute, University of Oxford, Oxford, United Kingdom.
Xiangyu GeFaculty of Biology, Medicine and Health, School of Biological Sciences, Division of Musculoskeletal and Dermatological Sciences, University of Manchester, Manchester, United Kingdom.
Toomas KivisildMcDonald Institute for Archaeological Research, University of Cambridge, Cambridge, United Kingdom.
John RobbMcDonald Institute for Archaeological Research, University of Cambridge, Cambridge, United Kingdom.

Funding

Wellcome Trust 2000368/Z/15/ZWellcome Trust 200368/Z/15/Z
6 · The paper itself

Abstract

objectivesIn tests on known individuals macroscopic sex estimation has between 70% and 98% accuracy. However, materials used to create and test these methods are overwhelming modern. As sexual dimorphism is dependent on multiple factors, it is unclear whether macroscopic methods have similar success on earlier materials, which differ in lifestyle and nutrition. This research aims to assess the accuracy of commonly used traits by comparing macroscopic sex estimates to genetic sex in medieval English material. MATERIALS AND

methodsSixty-six individuals from the 13th to 16th century Hospital of St John the Evangelist, Cambridge, were assessed. Genetic sex was determined using a shotgun approach. Eighteen skeletal traits were examined, and macroscopic sex estimates were derived from the os coxae, skull, and os coxae and skull combined. Each trait was tested for accuracy to explore sex estimates errors.

resultsThe combined estimate (97.7%) outperformed the os coxae only estimate (95.7%), which outperformed the skull only estimate (90.4%). Accuracy rates for individual traits varied: Phenice traits were most accurate, whereas supraorbital margins, frontal bossing, and gonial flaring were least accurate. The preauricular sulcus and arc compose showed a bias in accuracy between sexes. DISCUSSION: Macroscopic sex estimates are accurate when applied to medieval material from Cambridge. However, low trait accuracy rates may relate to differences in dimorphism between the method derivative sample and the St John's collection. Given the sex bias, the preauricular sulcus, frontal bossing, and arc compose should be reconsidered as appropriate traits for sex estimation for this group.

Indexed as

AdolescentAdultAnthropology, PhysicalArchaeologyFemaleGenetic TestingHistory, 15th CenturyHistory, 16th CenturyHistory, MedievalHumansMaleMiddle AgedPelvic BonesSex Determination by SkeletonSkullYoung Adultgenetic sexmedievalpreauricular sulcussex estimate accuracy

Identifiers

PMID30575013
PMCPMC6492084

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.