Evidence map›Paper›PMID 30967898›Full record

ArticleFrontiers in genetics2019

Population Pharmacogenomics for Precision Public Health in Colombia.

Shashwat Deepali Nagar, A Melissa Moreno, Emily T Norris, Lavanya Rishishwar, Andrew B Conley, Kelly L O'Neal, Sara Vélez-Gómez, Camila Montes-Rodríguez, Wendy V Jaraba-Álvarez, Isaura Torres and 4 more

Abstract read
In one paragraph

Article in Frontiers in genetics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 1 pooled it
–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

27 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Gene variants, oxidative stress and inflammation in Colombian populationsBiomedica : revista del Instituto Nacional de Salud · 2025
    Article
  4. Review
  5. Article
  6. 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
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Toward Integration of Pharmacogenomic Tests into Daily Clinical Practice: A General Survey for Polish Healthcare Workers.Medical science monitor : international medical journal of experimental and clinical research · 2023
    Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Genetic Ancestry Inference for Pharmacogenomics.Methods in molecular biology (Clifton, N.J.) · 2022
    Article
  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

14 authors.

Shashwat Deepali NagarSchool of Biological Sciences, Georgia Institute of Technology, Atlanta, GA, United States.
A Melissa MorenoGenomaCES, Universidad CES, Medellín, Colombia.
Emily T NorrisSchool of Biological Sciences, Georgia Institute of Technology, Atlanta, GA, United States.
Lavanya RishishwarIHRC-Georgia Tech Applied Bioinformatics Laboratory, Atlanta, GA, United States.
Andrew B ConleyIHRC-Georgia Tech Applied Bioinformatics Laboratory, Atlanta, GA, United States.
Kelly L O'NealSchool of Biological Sciences, Georgia Institute of Technology, Atlanta, GA, United States.
Sara Vélez-GómezGenomaCES, Universidad CES, Medellín, Colombia.
Camila Montes-RodríguezGenomaCES, Universidad CES, Medellín, Colombia.
Wendy V Jaraba-ÁlvarezGenomaCES, Universidad CES, Medellín, Colombia.
Isaura TorresGenomaCES, Universidad CES, Medellín, Colombia.
Miguel A Medina-RivasPanAmerican Bioinformatics Institute, Cali, Colombia.
Augusto Valderrama-AguirreSchool of Biological Sciences, Georgia Institute of Technology, Atlanta, GA, United States.
I King JordanSchool of Biological Sciences, Georgia Institute of Technology, Atlanta, GA, United States.
Juan Esteban GalloPanAmerican Bioinformatics Institute, Cali, Colombia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

While genomic approaches to precision medicine hold great promise, they remain prohibitively expensive for developing countries. The precision public health paradigm, whereby healthcare decisions are made at the level of populations as opposed to individuals, provides one way for the genomics revolution to directly impact health outcomes in the developing world. Genomic approaches to precision public health require a deep understanding of local population genomics, which is still missing for many developing countries. We are investigating the population genomics of genetic variants that mediate drug response in an effort to inform healthcare decisions in Colombia. Our work focuses on two neighboring populations with distinct ancestry profiles: Antioquia and Chocó. Antioquia has primarily European genetic ancestry followed by Native American and African components, whereas Chocó shows mainly African ancestry with lower levels of Native American and European admixture. We performed a survey of the global distribution of pharmacogenomic variants followed by a more focused study of pharmacogenomic allele frequency differences between the two Colombian populations. Worldwide, we found pharmacogenomic variants to have both unusually high minor allele frequencies and high levels of population differentiation. A number of these pharmacogenomic variants also show anomalous effect allele frequencies within and between the two Colombian populations, and these differences were found to be associated with their distinct genetic ancestry profiles. For example, the C allele of the single nucleotide polymorphism (SNP) rs4149056 [Solute Carrier Organic Anion Transporter Family Member 1B1 (SLCO1B1)

Indexed as

admixtureAntioquiaChocóColombiagenetic ancestrypharmacogeneticspharmacogenomicsprecision medicine

Identifiers

PMID30967898
PMCPMC6439339

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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.