Evidence map›Paper›PMID 25091042›Full record

ArticleGenes & nutrition2014

Concept mapping One-Carbon Metabolism to model future ontologies for nutrient-gene-phenotype interactions.

A C Joslin, R Green, J B German, M C Lange

Open access · bronzeAbstract read
In one paragraph

Article in Genes & nutrition, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.5field-weighted citation impact, top 29% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. 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

4 authors at 1 institution in 1 country.

A C JoslinDepartment of Food Science and Technology, University of California, Davis, 1 Shields Avenue, Davis, CA, 95616, USA.
R Green
J B German
M C Lange
University of California, Davis · US

Funding

Necrotizing Enterocolitis: Prevention and PredictionR01HD059127 · NICHD · UNIVERSITY OF CALIFORNIA AT DAVIS · PI LEBRILLA, CARLITO B, MILLS, DAVID ANDREW · 2008 to 2012
$3.1M
Mechanism of Activation of Probiotic Bifidobacteria by Prebiotic Milk GlycansR01AT007079 · NCCIH · UNIVERSITY OF CALIFORNIA AT DAVIS · PI GERMAN, BRUCE, LEBRILLA, CARLITO B · 2012 to 2016
$2.2M
Oligosaccharides as antimicrobials and prebioticsR01HD065122 · NICHD · UNIVERSITY OF CALIFORNIA AT DAVIS · PI CHEN, XI · 2010 to 2013
$1.8M
Structures, Functions, & Genetic Diversity of Oligosaccharides in MilkR01HD061923 · NICHD · UNIVERSITY OF CALIFORNIA AT DAVIS · PI LEBRILLA, CARLITO B · 2009 to 2013
$1.6M
Activation of Host-Probiotic Communication by Prebiotic Milk OligosaccharidesR21AT006180 · NCCIH · UNIVERSITY OF CALIFORNIA AT DAVIS · PI MILLS, DAVID ANDREW, RAYBOULD, HELEN E · 2011 to 2012
$421k
NCCIH NIH HHS R01 AT007079NCCIH NIH HHS R21 AT006180NICHD NIH HHS R01 HD059127NICHD NIH HHS R01 HD061923NICHD NIH HHS R01 HD065122
6 · The paper itself

Abstract

Advances in the development of bioinformatic tools continue to improve investigators' ability to interrogate, organize, and derive knowledge from large amounts of heterogeneous information. These tools often require advanced technical skills not possessed by life scientists. User-friendly, low-barrier-to-entry methods of visualizing nutrigenomics information are yet to be developed. We utilized concept mapping software from the Institute for Human and Machine Cognition to create a conceptual model of diet and health-related data that provides a foundation for future nutrigenomics ontologies describing published nutrient-gene/polymorphism-phenotype data. In this model, maps containing phenotype, nutrient, gene product, and genetic polymorphism interactions are visualized as triples of two concepts linked together by a linking phrase. These triples, or "knowledge propositions," contextualize aggregated data and information into easy-to-read knowledge maps. Maps of these triples enable visualization of genes spanning the One-Carbon Metabolism (OCM) pathway, their sequence variants, and multiple literature-mined associations including concepts relevant to nutrition, phenotypes, and health. The concept map development process documents the incongruity of information derived from pathway databases versus literature resources. This conceptual model highlights the importance of incorporating information about genes in upstream pathways that provide substrates, as well as downstream pathways that utilize products of the pathway under investigation, in this case OCM. Other genes and their polymorphisms, such as TCN2 and FUT2, although not directly involved in OCM, potentially alter OCM pathway functionality. These upstream gene products regulate substrates such as B12. Constellations of polymorphisms affecting the functionality of genes along OCM, together with substrate and cofactor availability, may impact resultant phenotypes. These conceptual maps provide a foundational framework for development of nutrient-gene/polymorphism-phenotype ontologies and systems visualization.

Identifiers

PMID25091042
PMCPMC4172641
OpenAlexW2033997199

What OpenQuestion holds

Textmetadata
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.