Evidence map›Paper›PMID 29462916›Full record

ArticleJournal of personalized medicine2018

Gene Environment Interactions and Predictors of Colorectal Cancer in Family-Based, Multi-Ethnic Groups.

S Pamela K Shiao, James Grayson, Chong Ho Yu, Brandi Wasek, Teodoro Bottiglieri

Open access · goldAbstract read
In one paragraph

Article in Journal of personalized medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 2 pooled it
2.1field-weighted citation impact, top 14% 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

15 citing papers in PubMed, 2 syntheses or guidelines pooled it, 17 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
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  8. Genes · 2021
    Review
  9. Precision health: A nursing perspective.International journal of nursing sciences · 2020
    Review
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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

5 authors at 2 institutions in 1 country.

S Pamela K ShiaoCollege of Nursing and Medical College of Georgia, Augusta University, Augusta, GA 30912, USA. pshiao@augusta.edu.
James GraysonCollege of Business, Augusta University, Augusta, GA 30912, USA. jgrayson@augusta.edu.
Chong Ho YuUniversity of Phoenix, Pasadena, CA 91101, USA. chonghoyu@gmail.com.
Brandi WasekCenter of Metabolomics, Institute of Metabolic Disease, Baylor Scott & White Research Institute, Dallas, TX 75226, USA. alexyu@email.phoenix.edu.
Teodoro BottiglieriCenter of Metabolomics, Institute of Metabolic Disease, Baylor Scott & White Research Institute, Dallas, TX 75226, USA. Teodoro.Bottiglieri@BSWHealth.org.
Augusta University · USUniversity of Phoenix · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

For the personalization of polygenic/omics-based health care, the purpose of this study was to examine the gene-environment interactions and predictors of colorectal cancer (CRC) by including five key genes in the one-carbon metabolism pathways. In this proof-of-concept study, we included a total of 54 families and 108 participants, 54 CRC cases and 54 matched family friends representing four major racial ethnic groups in southern California (White, Asian, Hispanics, and Black). We used three phases of data analytics, including exploratory, family-based analyses adjusting for the dependence within the family for sharing genetic heritage, the ensemble method, and generalized regression models for predictive modeling with a machine learning validation procedure to validate the results for enhanced prediction and reproducibility. The results revealed that despite the family members sharing genetic heritage, the CRC group had greater combined gene polymorphism rates than the family controls (

Indexed as

colorectal cancergene–environment interactionmulti-ethnic groupspredictor

Identifiers

PMID29462916
PMCPMC5872084
OpenAlexW2790414211

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.