Evidence map›Paper›PMID 28542165›Full record

ArticlePLoS genetics2017

Subtypes of Native American ancestry and leading causes of death: Mapuche ancestry-specific associations with gallbladder cancer risk in Chile.

Justo Lorenzo Bermejo, Felix Boekstegers, Rosa González Silos, Katherine Marcelain, Pablo Baez Benavides, Carol Barahona Ponce, Bettina Müller, Catterina Ferreccio, Jill Koshiol, Christine Fischer and 11 more

Abstract read
In one paragraph

Article in PLoS genetics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.

0numbers the graph read from it
0cells of the map it votes in
41citing 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

41 citing papers in PubMed.

  1. Article
  2. The Chile BiLS case-control study of gallbladder cancer.Archives of public health = Archives belges de sante publique · 2026
    Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Observational
  11. Distinct Driver Pathway Enrichments and a High Prevalence ofInternational journal of molecular sciences · 2024
    Article
  12. Article
  13. Article
  14. Tackling the lack of diversity in cancer research.Disease models & mechanisms · 2023
    Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. Article
  20. Article
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

21 authors.

Justo Lorenzo BermejoStatistical Genetics Group, Institute of Medical Biometry and Informatics, University of Heidelberg, Heidelberg, Germany.ORCID http://orcid.org/0000-0002-6568-5333
Felix BoekstegersStatistical Genetics Group, Institute of Medical Biometry and Informatics, University of Heidelberg, Heidelberg, Germany.ORCID http://orcid.org/0000-0002-0587-7624
Rosa González SilosStatistical Genetics Group, Institute of Medical Biometry and Informatics, University of Heidelberg, Heidelberg, Germany.
Katherine MarcelainProgram of Human Genetics, Institute of Biomedical Sciences, Medical Faculty, University of Chile, Santiago de Chile, Chile.
Pablo Baez BenavidesProgram of Human Genetics, Institute of Biomedical Sciences, Medical Faculty, University of Chile, Santiago de Chile, Chile.
Carol Barahona PonceStatistical Genetics Group, Institute of Medical Biometry and Informatics, University of Heidelberg, Heidelberg, Germany.
Bettina MüllerInstituto Nacional del Cáncer de Chile, Santiago de Chile, Chile.ORCID http://orcid.org/0000-0002-8589-5725
Catterina FerreccioSchool of Medicine, Pontificia Universidad Católica de Chile, Santiago de Chile, Chile.ORCID http://orcid.org/0000-0001-6331-5534
Jill KoshiolInfections and Immunoepidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, United States of America.ORCID http://orcid.org/0000-0002-3832-6204
Christine FischerInstitute of Human Genetics, University of Heidelberg, Heidelberg, Germany.
Barbara PeilStatistical Genetics Group, Institute of Medical Biometry and Informatics, University of Heidelberg, Heidelberg, Germany.
Janet SinsheimerBiomathematics and Human Genetics Departments, David Geffen School of Medicine at UCLA, Los Angeles, California, United States of America.
Macarena Fuentes GuajardoInstituto de Alta Investigación, Tarapacá University, Arica, Chile.ORCID http://orcid.org/0000-0002-2486-1628
Olga BarajasDepartment of Internal Medicine, University Hospital of University of Chile, Santiago de Chile, Chile.
Rolando Gonzalez-JoseCentro Nacional Patagónico, Puerto Madryn, Argentina.
Gabriel BedoyaLaboratorio de Genética Molecular, Facultad de Ciencias Exactas y Naturales, Universidad de Antioquia, Medellín, Colombia.ORCID http://orcid.org/0000-0001-7281-3981
Maria Cátira BortoliniDepartamento de Genética, Instituto de Biociências Universidade Federal do Rio Grande do Sul, Puerto Alegre, Brazil.
Samuel Canizales-QuinterosUnidad de Genómica de Poblaciones Aplicada a la Salud, Facultad de Química, Universidad Nacional Autónoma de México, Ciudad de México, México.
Carla GalloLaboratorios de Investigación y Desarrollo, Facultad de Ciencias y Filosofía, Universidad Peruana Cayetano Heredia, Lima, Perú.
Andres Ruiz LinaresDepartment of Genetics, Evolution and Environment, and UCL Genetics Institute, University College London, London, United Kingdom.
Francisco RothhammerInstituto de Alta Investigación, Tarapacá University, Arica, Chile.

Funding

STATISTICAL METHODS FOR GENE MAPPINGR01GM053275 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI LANGE, KENNETH L · 1995 to 2019
$9.3M
NIGMS NIH HHS R01 GM053275
6 · The paper itself

Abstract

Latin Americans are highly heterogeneous regarding the type of Native American ancestry. Consideration of specific associations with common diseases may lead to substantial advances in unraveling of disease etiology and disease prevention. Here we investigate possible associations between the type of Native American ancestry and leading causes of death. After an aggregate-data study based on genome-wide genotype data from 1805 admixed Chileans and 639,789 deaths, we validate an identified association with gallbladder cancer relying on individual data from 64 gallbladder cancer patients, with and without a family history, and 170 healthy controls. Native American proportions were markedly underestimated when the two main types of Native American ancestry in Chile, originated from the Mapuche and Aymara indigenous peoples, were combined together. Consideration of the type of Native American ancestry was crucial to identify disease associations. Native American ancestry showed no association with gallbladder cancer mortality (P = 0.26). By contrast, each 1% increase in the Mapuche proportion represented a 3.7% increased mortality risk by gallbladder cancer (95%CI 3.1-4.3%, P = 6×10-27). Individual-data results and extensive sensitivity analyses confirmed the association between Mapuche ancestry and gallbladder cancer. Increasing Mapuche proportions were also associated with an increased mortality due to asthma and, interestingly, with a decreased mortality by diabetes. The mortality due to skin, bladder, larynx, bronchus and lung cancers increased with increasing Aymara proportions. Described methods should be considered in future studies on human population genetics and human health. Complementary individual-based studies are needed to apportion the genetic and non-genetic components of associations identified relying on aggregate-data.

Indexed as

Genome-Wide Association StudyAdolescentAdultChileFemaleGallbladder NeoplasmsGenetics, PopulationGenome, HumanGenotypeHumansIndians, North AmericanLatin AmericaMaleRisk Factors

Identifiers

PMID28542165
PMCPMC5444600

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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.