Evidence map›Paper›PMID 37964883›Full record

ArticleFrontiers in medicine2023

Amerindian ancestry proportion as a risk factor for inflammatory bowel diseases: results from a Latin American Andean cohort.

Tamara Pérez-Jeldres, Fabien Magne, Gabriel Ascui, Danilo Alvares, Matias Orellana, Manuel Alvarez-Lobos, Cristian Hernandez-Rocha, Lorena Azocar, Nataly Aguilar, Alberto Espino and 14 more

Abstract read
In one paragraph

Article in Frontiers in medicine, 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. Observational
  2. Article
  3. Observational
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

24 authors.

Tamara Pérez-JeldresDepartment of Gastroenterology, School of Medicine, Pontificia Universidad Católica de Chile, Santiago, Chile.
Fabien MagneDepartment of Microbiology, Faculty of Medicine, Institute of Biomedical Sciences (ICBM), Universidad de Chile, Santiago, Chile.
Gabriel AscuiLa Jolla Institute for Immunology, San Diego, CA, United States.
Danilo AlvaresMRC Biostatistics Unit, University of Cambridge, Cambridge, United Kingdom.
Matias OrellanaDepartment of Computer Science, Faculty of Physical Sciences and Mathematics, Universidad de Chile, Santiago, Chile.
Manuel Alvarez-LobosDepartment of Gastroenterology, School of Medicine, Pontificia Universidad Católica de Chile, Santiago, Chile.
Cristian Hernandez-RochaDepartment of Gastroenterology, School of Medicine, Pontificia Universidad Católica de Chile, Santiago, Chile.
Lorena AzocarDepartment of Gastroenterology, School of Medicine, Pontificia Universidad Católica de Chile, Santiago, Chile.
Nataly AguilarDepartment of Gastroenterology, School of Medicine, Pontificia Universidad Católica de Chile, Santiago, Chile.
Alberto EspinoDepartment of Gastroenterology, School of Medicine, Pontificia Universidad Católica de Chile, Santiago, Chile.
Ricardo EstelaDepartment of Gastroenterology, Hospital San Borja Arriarán, Santiago, Chile.
Sergio EscobarDepartment of Gastroenterology, Hospital San Borja Arriarán, Santiago, Chile.
Alejandra ZazuetaDepartment of Microbiology, Faculty of Medicine, Institute of Biomedical Sciences (ICBM), Universidad de Chile, Santiago, Chile.
Pablo BaezCenter of Medical Informatics and Telemedicine, University of Chile, Santiago, Chile.
Verónica SilvaDepartment of Gastroenterology, Hospital San Borja Arriarán, Santiago, Chile.
Andres De La VegaDepartment of Gastroenterology, Hospital San Borja Arriarán, Santiago, Chile.
Elizabeth ArriagadaDepartment of Gastroenterology, Hospital San Borja Arriarán, Santiago, Chile.
Carolina Pavez-OvalleDepartment of Gastroenterology, School of Medicine, Pontificia Universidad Católica de Chile, Santiago, Chile.
Alejandro Díaz-AsencioDepartment of Gastroenterology, Hospital San Borja Arriarán, Santiago, Chile.
Dante TravisanyNúcleo de Investigación en Data Science, Facultad de Ingeniería y Negocios, Universidad de las Américas, Santiago, Chile.
Juan Francisco MiquelDepartment of Gastroenterology, School of Medicine, Pontificia Universidad Católica de Chile, Santiago, Chile.
Eduardo J VillablancaDivision of Immunology and Allergy, Department of Medicine, Solna, Karolinska Institutet and University Hospital, Stockholm, Sweden.
Mitchell KronenbergLa Jolla Institute for Immunology, San Diego, CA, United States.
María Leonor BustamanteDepartment of Human Genetic, Faculty of Medicine, Institute of Biomedical Sciences (ICBM), Universidad de Chile, Santiago, Chile.

Funding

Using polygenic scores to enhance both variant discovery, and understanding of functional consequences of genetic variation in IBD.P01DK046763 · NIDDK · CEDARS-SINAI MEDICAL CENTER · PI TARGAN, STEPHAN R. · 1992 to 2020
$31.1M
Medical Research Council MC_UU_00002/5NIDDK NIH HHS P01 DK046763
6 · The paper itself

Abstract

Background and aims: Latin American populations remain underrepresented in genetic studies of inflammatory bowel diseases (IBDs). Most genetic association studies of IBD rely on Caucasian, African, and Asian individuals. These associations have yet to be evaluated in detail in the Andean region of South America. We explored the contribution of IBD-reported genetic risk variants to a Chilean cohort and the ancestry contribution to IBD in this cohort. Methods: A total of 192 Chilean IBD patients were genotyped using Illumina's Global Screening Array. Genotype data were combined with similar information from 3,147 Chilean controls. The proportions of Aymara, African, European, and Mapuche ancestries were estimated using the software ADMIXTURE. We calculated the odds ratios (ORs) and 95% confidence intervals (CIs) for gender, age, and ancestry proportions. We also explored associations with previously reported IBD-risk variants independently and in conjunction with genetic ancestry. Results: The first and third quartiles of the proportion of Mapuche ancestry in IBD patients were 24.7 and 34.2%, respectively, and the corresponding OR was 2.30 (95%CI 1.52-3.48) for the lowest vs. the highest group. Only one variant (rs7210086) of the 180 reported IBD-risk SNPs was associated with IBD risk in the Chilean cohort (adjusted Conclusion: The type and proportion of Native American ancestry in Chileans seem to be associated with IBD risk. Variants associated with IBD risk in this Andean region were related to myeloid cells and the innate immune response.

Indexed as

ancestrygeneticsinflammatory bowel diseaseLatin Americansingle nucleotide polymorphism (SNP)

Identifiers

PMID37964883
PMCPMC10642057

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