Evidence map›Paper›PMID 29215035›Full record

ArticleScientific reports2017

Influence of genetic ancestry and socioeconomic status on type 2 diabetes in the diverse Colombian populations of Chocó and Antioquia.

Aroon T Chande, Jessica Rowell, Lavanya Rishishwar, Andrew B Conley, Emily T Norris, Augusto Valderrama-Aguirre, Miguel A Medina-Rivas, I King Jordan

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
1.8field-weighted citation impact, top 13% 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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 19 citations in OpenAlex.

  1. Genetic ancestry is associated with asthma, and this could be modified by environmental factors. A systematic review.Clinical and experimental allergy : journal of the British Society for Allergy and Clinical Immunology · 2023
    Pooled it
  2. Article
  3. Gene variants, oxidative stress and inflammation in Colombian populationsBiomedica : revista del Instituto Nacional de Salud · 2025
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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

8 authors at 3 institutions in 2 countries.

Aroon T ChandeSchool of Biological Sciences, Georgia Institute of Technology, Atlanta, Georgia, USA.
Jessica RowellSchool of Biological Sciences, Georgia Institute of Technology, Atlanta, Georgia, USA.
Lavanya RishishwarSchool of Biological Sciences, Georgia Institute of Technology, Atlanta, Georgia, USA.
Andrew B ConleyIHRC-Georgia Tech Applied Bioinformatics Laboratory, Atlanta, Georgia, USA.
Emily T NorrisSchool of Biological Sciences, Georgia Institute of Technology, Atlanta, Georgia, USA.
Augusto Valderrama-AguirrePanAmerican Bioinformatics Institute, Cali, Valle del Cauca, Colombia.ORCID 0000-0002-5255-1440
Miguel A Medina-RivasPanAmerican Bioinformatics Institute, Cali, Valle del Cauca, Colombia.
I King JordanSchool of Biological Sciences, Georgia Institute of Technology, Atlanta, Georgia, USA. king.jordan@biology.gatech.edu.
Georgia Institute of Technology · USPanAmerican Bioinformatics Institute · COTechnological University of Choco · CO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Differences in genetic ancestry and socioeconomic status (SES) among Latin American populations have been linked to health disparities for a number of complex diseases, such as diabetes. We used a population genomic approach to investigate the role that genetic ancestry and socioeconomic status (SES) play in the epidemiology of type 2 diabetes (T2D) for two Colombian populations: Chocó (Afro-Latino) and Antioquia (Mestizo). Chocó has significantly higher predicted genetic risk for T2D compared to Antioquia, and the elevated predicted risk for T2D in Chocó is correlated with higher African ancestry. Despite its elevated predicted genetic risk, the population of Chocó has a three-times lower observed T2D prevalence than Antioquia, indicating that environmental factors better explain differences in T2D outcomes for Colombia. Chocó has substantially lower SES than Antioquia, suggesting that low SES in Chocó serves as a protective factor against T2D. The combination of lower prevalence of T2D and lower SES in Chocó may seem surprising given the protective nature of elevated SES in many populations in developed countries. However, low SES has also been documented to be a protective factor in rural populations in less developed countries, and this appears to be the case when comparing Chocó to Antioquia.

Indexed as

Genetic Predisposition to DiseaseColombiaDiabetes Mellitus, Type 2HumansPedigreePrevalenceSocioeconomic Factors

Identifiers

PMID29215035
PMCPMC5719455
OpenAlexW2775773837

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.