Evidence map›Paper›PMID 37954982›Full record

ArticleEvolution, medicine, and public health2023

Epigenetic aging differences between Wichí and Criollos from Argentina: Insights from genomic history and ecology.

Vincenzo Iannuzzi, Stefania Sarno, Marco Sazzini, Paolo Abondio, Claudia Sala, Maria Giulia Bacalini, Davide Gentilini, Luciano Calzari, Federica Masciotta, Paolo Garagnani and 9 more

Abstract read
In one paragraph

Article in Evolution, medicine, and public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Ancestry estimation: Methodological evolution and forensic implications.Forensic science, medicine, and pathology · 2026
    Review
  2. Review
  3. 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

19 authors.

Vincenzo IannuzziDepartment of Biological, Geological and Environmental Sciences, Laboratory of Molecular Anthropology & Centre for Genome Biology, University of Bologna, Bologna, Italy.
Stefania SarnoDepartment of Biological, Geological and Environmental Sciences, Laboratory of Molecular Anthropology & Centre for Genome Biology, University of Bologna, Bologna, Italy.
Marco SazziniDepartment of Biological, Geological and Environmental Sciences, Laboratory of Molecular Anthropology & Centre for Genome Biology, University of Bologna, Bologna, Italy.ORCID https://orcid.org/0000-0001-5382-7827
Paolo AbondioDepartment of Cultural Heritage (DBC), University of Bologna, Ravenna Campus, Ravenna, Italy.ORCID https://orcid.org/0000-0002-9626-8495
Claudia SalaDepartment of Medical and Surgical Science (DIMEC), University of Bologna, Bologna, Italy.ORCID https://orcid.org/0000-0002-4889-1047
Maria Giulia BacaliniIRCCS Istituto delle Scienze Neurologiche di Bologna, 40139 Bologna, Italy.
Davide GentiliniDepartment of Brain and Behavioral Sciences, Università di Pavia, Pavia, Italy.
Luciano CalzariBioinformatics and Statistical Genomics Unit, Istituto Auxologico Italiano IRCCS, Cusano Milanino, Milan, Italy.
Federica MasciottaDepartment of Statistical Sciences 'Paolo Fortunati', Alma Mater Studiorum, University of Bologna, Bologna, Italy.
Paolo GaragnaniDepartment of Medical and Surgical Science (DIMEC), University of Bologna, Bologna, Italy.
Gastone CastellaniDepartment of Medical and Surgical Science (DIMEC), University of Bologna, Bologna, Italy.
Edgardo MorettiFacultad de Ciencias Médicas, Universidad Nacional de Córdoba, Instituto de Biología y Medicina Experimental de Cuyo, CCT CONICET, Argentina.
Maria Cristina DassoCentro de Investigaciones en Antropología Filosófica y Cultural (CIAFIC), Buenos Aires, Argentina.
Federica SeviniDepartment of Medical and Surgical Science (DIMEC), University of Bologna, Bologna, Italy.
Zelda Alice FranceschiDepartment of History and Cultures, University of Bologna, Bologna, Italy.
Claudio FranceschiLaboratory of Systems Medicine of Healthy Aging and Department of Applied Mathematics, Lobachevsky University, Nizhny Novgorod, Russia.ORCID https://orcid.org/0000-0001-9841-6386
Davide PettenerDepartment of Biological, Geological and Environmental Sciences, Laboratory of Molecular Anthropology & Centre for Genome Biology, University of Bologna, Bologna, Italy.
Donata LuiselliDepartment of Cultural Heritage (DBC), University of Bologna, Ravenna Campus, Ravenna, Italy.ORCID https://orcid.org/0000-0003-2105-2478
Cristina GiulianiDepartment of Biological, Geological and Environmental Sciences, Laboratory of Molecular Anthropology & Centre for Genome Biology, University of Bologna, Bologna, Italy.ORCID https://orcid.org/0000-0002-5318-6502

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and objectives: Epigenetic estimators based on DNA methylation levels have emerged as promising biomarkers of human aging. These estimators exhibit natural variations across human groups, but data about indigenous populations remain underrepresented in research. This study aims to investigate differences in epigenetic estimators between two distinct human populations, both residing in the Gran Chaco region of Argentina, the Native-American Wichí, and admixed Criollos who are descendants of intermarriages between Native Americans and the first European colonizers, using a population genetic approach. Methodology: We analyzed 24 Wichí (mean age: 39.2 ± 12.9 yo) and 24 Criollos (mean age: 41.1 ± 14.0 yo) for DNA methylation levels using the Infinium MethylationEPIC (Illumina) to calculate 16 epigenetic estimators. Additionally, we examined genome-wide genetic variation using the HumanOmniExpress BeadChip (Illumina) to gain insights into the genetic history of these populations. Results: Our results indicate that Native-American Wichí are epigenetically older compared to Criollos according to five epigenetic estimators. Analyses within the Criollos population reveal that global ancestry does not influence the differences observed, while local (chromosomal) ancestry shows positive associations between specific SNPs located in genomic regions over-represented by Native-American ancestry and measures of epigenetic age acceleration (AgeAccelHannum). Furthermore, we demonstrate that differences in population ecologies also contribute to observed epigenetic differences. Conclusions and implications: Overall, our study suggests that while the genomic history may partially account for the observed epigenetic differences, non-genetic factors, such as lifestyle and ecological factors, play a substantial role in the variability of epigenetic estimators, thereby contributing to variations in human epigenetic aging.

Indexed as

DNA methylationepigenetic clocksgenomic historyhuman agingSouth America

Identifiers

PMID37954982
PMCPMC10632719

What OpenQuestion 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 OpenQuestion graph.