Evidence map›Paper›PMID 33306774›Full record

ArticleGenetics and molecular biology2020

Differential admixture in Latin American populations and its impact on the study of colorectal cancer.

Valentina Colistro, Patricia Mut, Pedro C Hidalgo, Angel Carracedo, Inés Quintela, Augusto Rojas-Martínez, Mónica Sans

Open access · goldAbstract read
In one paragraph

Article in Genetics and molecular biology, 2020. 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
0.9field-weighted citation impact, top 22% of its field
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, 5 citations in OpenAlex.

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

7 authors at 3 institutions in 3 countries.

Valentina ColistroUniversidad de la República, Facultad de Medicina, Departamento de Métodos Cuantitativos, Montevideo, Uruguay.ORCID http://orcid.org/0000-0002-5727-4980
Patricia MutUniversidad de la República, Facultad de Humanidades y Ciencias de la Educación, Departamento de Antropología Biológica, Montevideo, Uruguay.
Pedro C HidalgoUniversidad de la República, Centro Universitario de Tacuarembó, Polo de Desarrollo Universitario Diversidad Genética Humana, Tacuarembó, Uruguay.
Angel CarracedoUniversidad de Santiago de Compostela, Centro Nacional de Genotipado (CEGEN), Spain.
Inés QuintelaUniversidad de Santiago de Compostela, Centro Nacional de Genotipado (CEGEN), Spain.
Augusto Rojas-MartínezEscuela de Medicina y Ciencias de la Salud, Tecnológico de Monterrey, Monterrey, México.ORCID http://orcid.org/0000-0003-3765-6778
Mónica SansUniversidad de la República, Facultad de Humanidades y Ciencias de la Educación, Departamento de Antropología Biológica, Montevideo, Uruguay.ORCID http://orcid.org/0000-0002-1564-8761
Universidad de la República de Uruguay · UYUniversidade de Santiago de Compostela · ESSecretaria de Salud · MX

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genome-wide association studies focused on searching genes responsible for several diseases. Admixture mapping studies proposed a more efficient alternative capable of detecting polymorphisms contributing with a small effect on the disease risk. This method focuses on the higher values of linkage disequilibrium in admixed populations. To test this, we analyzed 10 genomic regions previously defined as related with colorectal cancer among nine populations and studied the variation pattern of haplotypic structures and heterozygosity values on seven categories of SNPs. Both analyses showed differences among chromosomal regions and studied populations. Admixed Latin-American samples generally show intermediate values. Heterozygosity of the SNPs grouped in categories varies more in each gene than in each population. African related populations have more blocks per chromosomal region, coherently with their antiquity. In sum, some similarities were found among Latin American populations, but each chromosomal region showed a particular behavior, despite the fact that the study refers to genes and regions related with one particular complex disease. This study strongly suggests the necessity of developing statistical methods to deal with di- or tri-hybrid populations, as well as to carefully analyze the different historic and demographic scenarios, and the different characteristics of particular chromosomal regions and evolutionary forces.

Identifiers

PMID33306774
PMCPMC7783724
OpenAlexW3099909254

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.