Evidence map›Paper›PMID 32681795›Full record

ArticleGenome biology and evolution2020

The Phenotypic Consequences of Genetic Divergence between Admixed Latin American Populations: Antioquia and Chocó, Colombia.

Aroon T Chande, Lavanya Rishishwar, Dongjo Ban, Shashwat D Nagar, Andrew B Conley, Jessica Rowell, Augusto E Valderrama-Aguirre, Miguel A Medina-Rivas, I King Jordan

Abstract readComparative Study
In one paragraph

Article in Genome biology and evolution, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Gene variants, oxidative stress and inflammation in Colombian populationsBiomedica : revista del Instituto Nacional de Salud · 2025
    Article
  2. Review
  3. Article
  4. Unveiling ancestral threads: Exploring CCR5 ∆32 mutation frequencies in Colombian populations for HIV/AIDS therapeutics.Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases · 2024
    Article
  5. Review
  6. Article
  7. 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

9 authors.

Aroon T ChandeSchool of Biological Sciences, Georgia Institute of Technology, Atlanta, Georgia.
Lavanya RishishwarIHRC-Georgia Tech Applied Bioinformatics Laboratory, Atlanta, Georgia.
Dongjo BanSchool of Biological Sciences, Georgia Institute of Technology, Atlanta, Georgia.
Shashwat D NagarSchool of Biological Sciences, Georgia Institute of Technology, Atlanta, Georgia.
Andrew B ConleyIHRC-Georgia Tech Applied Bioinformatics Laboratory, Atlanta, Georgia.
Jessica RowellSchool of Biological Sciences, Georgia Institute of Technology, Atlanta, Georgia.
Augusto E Valderrama-AguirrePanAmerican Bioinformatics Institute, Valle del Cauca, Cali, Colombia.
Miguel A Medina-RivasPanAmerican Bioinformatics Institute, Valle del Cauca, Cali, Colombia.
I King JordanSchool of Biological Sciences, Georgia Institute of Technology, Atlanta, Georgia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genome-wide association studies have uncovered thousands of genetic variants that are associated with a wide variety of human traits. Knowledge of how trait-associated variants are distributed within and between populations can provide insight into the genetic basis of group-specific phenotypic differences, particularly for health-related traits. We analyzed the genetic divergence levels for 1) individual trait-associated variants and 2) collections of variants that function together to encode polygenic traits, between two neighboring populations in Colombia that have distinct demographic profiles: Antioquia (Mestizo) and Chocó (Afro-Colombian). Genetic ancestry analysis showed 62% European, 32% Native American, and 6% African ancestry for Antioquia compared with 76% African, 10% European, and 14% Native American ancestry for Chocó, consistent with demography and previous results. Ancestry differences can confound cross-population comparison of polygenic risk scores (PRS); however, we did not find any systematic bias in PRS distributions for the two populations studied here, and population-specific differences in PRS were, for the most part, small and symmetrically distributed around zero. Both genetic differentiation at individual trait-associated single nucleotide polymorphisms and population-specific PRS differences between Antioquia and Chocó largely reflected anthropometric phenotypic differences that can be readily observed between the populations along with reported disease prevalence differences. Cases where population-specific differences in genetic risk did not align with observed trait (disease) prevalence point to the importance of environmental contributions to phenotypic variance, for both infectious and complex, common disease. The results reported here are distributed via a web-based platform for searching trait-associated variants and PRS divergence levels at http://map.chocogen.com (last accessed August 12, 2020).

Indexed as

Genetic Predisposition to DiseaseGenome, HumanMultifactorial InheritancePhenotypeColombiaHumansRacial Groupsdiseasegenetic ancestryhealthpolygenicpopulation genomicstraits

Identifiers

PMID32681795
PMCPMC7513793

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