Evidence map›Paper›PMID 41415413›Full record

ArticlebioRxiv : the preprint server for biology2025

Genomic insights into ancestry and infectious disease in 17th-century colonial Brazil.

Ksenia Macias Calix, Caroline Borges, Ana Lucia do Nascimento Oliveira, Suely Cristina Albuquerque de Luna, Claudia Minervina Souza Cunha, Alexsandra Maria de Siqueira, Andre Luiz Campelo Dos Santos, Michael DeGiorgio, John Lindo, Raquel Assis

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

10 authors.

Ksenia Macias CalixDepartment of Electrical Engineering and Computer Science, Florida Atlantic University, Boca Raton, FL 33431.
Caroline BorgesDepartment of History, Federal Rural University of Pernambuco, Recife, PE, Brazil 52171-900.
Ana Lucia do Nascimento OliveiraDepartment of History, Federal Rural University of Pernambuco, Recife, PE, Brazil 52171-900.
Suely Cristina Albuquerque de LunaDepartment of History, Federal Rural University of Pernambuco, Recife, PE, Brazil 52171-900.
Claudia Minervina Souza CunhaCenter for Natural Sciences, Federal University of Piaui, Teresina, PI, Brazil 64049-550.
Alexsandra Maria de SiqueiraDepartment of Archaeology, Federal University of Pernambuco, Recife, PE, Brazil 50670-901.
Andre Luiz Campelo Dos SantosDepartment of Electrical Engineering and Computer Science, Florida Atlantic University, Boca Raton, FL 33431.
Michael DeGiorgioDepartment of Electrical Engineering and Computer Science, Florida Atlantic University, Boca Raton, FL 33431.
John LindoDepartment of Anthropology, Emory University, Atlanta, GA 30322.
Raquel AssisDepartment of Electrical Engineering and Computer Science, Florida Atlantic University, Boca Raton, FL 33431.

Funding

Identifying complex modes of adaptation from population-genomic dataR35GM128590 · NIGMS · PENNSYLVANIA STATE UNIVERSITY, THE · PI Michael DeGiorgio · 2018 to 2026
$2.8M
Learning about the evolution of structural variations from genomic and transcriptomic dataR35GM142438 · NIGMS · FLORIDA ATLANTIC UNIVERSITY · PI ASSIS, RAQUEL · 2021 to 2025
$1.9M
NIGMS NIH HHS R35 GM128590NIGMS NIH HHS R35 GM142438
6 · The paper itself

Abstract

During urban redevelopment in the historic district of a Brazilian metropolis, archaeologists uncovered a previously undocumented 17th-century cemetery, containing the closely spaced remains of over two dozen young adult males of military age. Historical records suggest the site once housed a makeshift hospital, raising questions about the origins and causes of death of those interred, particularly given the absence of skeletal evidence for violent or fatal trauma. The current study integrates bioarchaeological, historical, and genomic data to investigate the ancestry and putative disease-related mortality of nine individuals whose remains were recovered and subsequently sequenced. Population-genetic analyses revealed strong affinities with Northern European populations, particularly from Norway, Iceland, Estonia, and Czechoslovia, consistent with their likely roles as soldiers or laborers employed by the Dutch West India Company. To explore potential causes of death, we conducted a metagenomic screening with a novel pipeline optimized for degraded DNA, which revealed widespread presence of

Indexed as

colonial BrazilDutch West India Companyhistorical pathogen genomicsMycobacterium tuberculosispaleogenomics

Identifiers

PMID41415413
PMCPMC12710828

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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 Socratic graph.