Evidence map›Paper›PMID 32681049›Full record

ArticleScientific reports2020

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

Tammy Buonasera, Jelmer Eerkens, Alida de Flamingh, Laurel Engbring, Julia Yip, Hongjie Li, Randall Haas, Diane DiGiuseppe, Dave Grant, Michelle Salemi and 7 more

Abstract readComparative Study
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

24 citing papers in PubMed.

  1. Article
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  13. No Bones About It: Sex Is Binary.Archives of sexual behavior · 2024
    Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Paleoproteomics.Chemical reviews · 2022
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

17 authors.

Tammy BuonaseraDepartment of Environmental Toxicology, University of California, Rm 5241B Meyer Hall, 1 Shields Ave, Davis, CA, 95616, USA. tybuonasera@ucdavis.edu.
Jelmer EerkensDepartment of Anthropology, University of California, Davis, USA.
Alida de FlaminghProgram in Ecology, Evolution and Conservation Biology, University of Illinois, Urbana-Champaign, USA.
Laurel EngbringFar Western Anthropological Research Group, Inc, Davis, CA, USA.
Julia YipDepartment of Environmental Toxicology, University of California, Rm 5241B Meyer Hall, 1 Shields Ave, Davis, CA, 95616, USA.
Hongjie LiDepartment of Anthropology, University of Illinois, Urbana-Champaign, USA.
Randall HaasDepartment of Anthropology, University of California, Davis, USA.
Diane DiGiuseppeD&D Osteological Services, LLC, San Jose, CA, USA.
Dave GrantD&D Osteological Services, LLC, San Jose, CA, USA.
Michelle SalemiProteomic Core Facility, Genome Center, University of California, Davis, CA, USA.
Charlene NijmehMuwekma Ohlone Tribe of the San Francisco Bay Area, Milpitas, CA, USA.
Monica ArellanoMuwekma Ohlone Tribe of the San Francisco Bay Area, Milpitas, CA, USA.
Alan LeventhalMuwekma Ohlone Tribe of the San Francisco Bay Area, Milpitas, CA, USA.
Brett PhinneyProteomic Core Facility, Genome Center, University of California, Davis, CA, USA.
Brian F ByrdFar Western Anthropological Research Group, Inc, Davis, CA, USA.
Ripan S MalhiProgram in Ecology, Evolution and Conservation Biology, University of Illinois, Urbana-Champaign, USA.
Glendon ParkerDepartment of Environmental Toxicology, University of California, Rm 5241B Meyer Hall, 1 Shields Ave, Davis, CA, 95616, USA. gjparker@ucdavis.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sex estimation of skeletons is fundamental to many archaeological studies. Currently, three approaches are available to estimate sex-osteology, genomics, or proteomics, but little is known about the relative reliability of these methods in applied settings. We present matching osteological, shotgun-genomic, and proteomic data to estimate the sex of 55 individuals, each with an independent radiocarbon date between 2,440 and 100 cal BP, from two ancestral Ohlone sites in Central California. Sex estimation was possible in 100% of this burial sample using proteomics, in 91% using genomics, and in 51% using osteology. Agreement between the methods was high, however conflicts did occur. Genomic sex estimates were 100% consistent with proteomic and osteological estimates when DNA reads were above 100,000 total sequences. However, more than half the samples had DNA read numbers below this threshold, producing high rates of conflict with osteological and proteomic data where nine out of twenty conditional DNA sex estimates conflicted with proteomics. While the DNA signal decreased by an order of magnitude in the older burial samples, there was no decrease in proteomic signal. We conclude that proteomics provides an important complement to osteological and shotgun-genomic sex estimation.

Indexed as

ArchaeologyProteomicsAmelogeninBase SequenceCaliforniaDNAFemaleGeographyHumansMaleOsteologyPeptidesSex Determination by SkeletonAmelogeninDNAPeptides

Identifiers

PMID32681049
PMCPMC7368048

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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.