Evidence map›Paper›PMID 41927995›Full record

ArticleCommunications biology2026

Unraveling the genetic landscape and admixture dynamics of urban populations across Peru.

Victor Borda, Omar Caceres, Cesar Sanchez, Carlos Padilla, Diego Veliz-Otani, Marla Mendes, Carolina Silva-Carvalho, Isabela Alvim, Bradley A Maron, Mateus H Gouveia and 3 more

Abstract read
In one paragraph

Article in Communications biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Molecular Epidemiology ofInternational journal of molecular sciences · 2026
    Article
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

13 authors.

Victor BordaThe University of Maryland-Institute for Health Computing, University of Maryland School of Medicine, North Bethesda, MD, USA. vborda@som.umaryland.edu.ORCID http://orcid.org/0000-0003-3209-3961
Omar CaceresLaboratorio de Innovación y Desarrollo, Instituto Nacional de Salud, Lima, Perú. caceresreyomar@gmail.com.ORCID http://orcid.org/0000-0003-1529-2475
Cesar SanchezLaboratorio de Innovación y Desarrollo, Instituto Nacional de Salud, Lima, Perú.
Carlos PadillaLaboratorio de Innovación y Desarrollo, Instituto Nacional de Salud, Lima, Perú.
Diego Veliz-OtaniInstitute for Genome Sciences, University of Maryland School of Medicine, Baltimore, MD, USA.
Marla MendesThe Centre for Applied Genomics and Genetics and Genome Biology Program, The Hospital for Sick Children, Toronto, ON, Canada.
Carolina Silva-CarvalhoDepartment of Genetics, Ecology, and Evolution. Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil.
Isabela AlvimSchool of Food Technology and Natural Sciences, Massey University, Palmerston North, New Zealand.
Bradley A MaronThe University of Maryland-Institute for Health Computing, University of Maryland School of Medicine, North Bethesda, MD, USA.
Mateus H GouveiaCenter for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA.ORCID http://orcid.org/0000-0001-6711-5265
Eduardo Tarazona-SantosDepartment of Genetics, Ecology, and Evolution. Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil.
Heinner GuioLaboratorio de Innovación y Desarrollo, Instituto Nacional de Salud, Lima, Perú. heinnerguio@gmail.com.ORCID http://orcid.org/0000-0003-0078-1188
Timothy D O'ConnorInstitute for Genome Sciences, University of Maryland School of Medicine, Baltimore, MD, USA. timothydoconnor@gmail.com.ORCID http://orcid.org/0000-0002-0276-1896

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Latin American populations exhibit high genetic and phenotypic diversity shaped by complex admixture histories, yet remain underrepresented in genomic research. Here, we analyze genome-wide data from 432 urban individuals across 13 regions of Peru, including 346 newly genotyped from the Peruvian Genome Project. We reveal fine-scale population structure and demographic patterns shaped by both ancient and recent events. Indigenous American ancestries in urban individuals trace back to ancient north-south interactions consistent with archaeological records, while admixture events occurring within the last 8-10 generations involved sources already admixed between distinct ancestral lineages. Identity-by-descent analyses reveal sustained gene flow in southern Peru, while effective population size trends highlight demographic stability in Lima over the past 25 generations. Sex-biased admixture patterns suggest Indigenous ancestry contribution preferentially mediated by females. These findings provide a comprehensive understanding of Peru's genetic heritage, enhancing our understanding of human genetic diversity and historical demographic processes in Latin America.

Indexed as

Genetics, PopulationGenetic VariationIndians, South AmericanUrban PopulationFemaleGene FlowHumansMalePeruPolymorphism, Single Nucleotide

Identifiers

PMID41927995
PMCPMC13046959

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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.