Evidence map›Paper›PMID 18850186›Full record

ArticleGenes & nutrition2008

The challenges for molecular nutrition research 1: linking genotype to healthy nutrition.

Christine M Williams, Jose M Ordovas, Dennis Lairon, John Hesketh, Georg Lietz, Mike Gibney, Ben van Ommen

Abstract read
In one paragraph

Article in Genes & nutrition, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Trial
  2. Review
  3. Article
  4. Nutrigenetics-personalized nutrition in obesity and cardiovascular diseases.International journal of obesity supplements · 2020
    Review
  5. Article
  6. Article
  7. Review
  8. Article
  9. Potential value of nutrigenomics in Crohn's disease.Nature reviews. Gastroenterology & hepatology · 2012
    Review
  10. Article
  11. Article
  12. Nutrigenetics, nutrigenomics, and selenium.Frontiers in genetics · 2011
    Article
  13. Adaptive genetic variation and heart disease risk.Current opinion in lipidology · 2010
    Review
  14. Review
  15. Article
  16. Article
  17. Review
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

7 authors.

Christine M WilliamsHugh Sinclair Unit of Human Nutrition, University of Reading, Reading, RG6 6AP, USA, c.m.williams@reading.ac.uk.
Jose M Ordovas
Dennis Lairon
John Hesketh
Georg Lietz
Mike Gibney
Ben van Ommen

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nutrition science finds itself at a major crossroad. On the one hand we can continue the current path, which has resulted in some substantial advances, but also many conflicting messages which impair the trust of the general population, especially those who are motivated to improve their health through diet. The other road is uncharted and is being built over the many exciting new developments in life sciences. This new era of nutrition recognizes the complex relation between the health of the individual, its genome, and the life-long dietary exposure, and has lead to the realisation that nutrition is essentially a gene-environment interaction science. This review on the relation between genotype, diet and health is the first of a series dealing with the major challenges in molecular nutrition, analyzing the foundations of nutrition research. With the unravelling of the human genome and the linking of its variability to a multitude of phenotypes from "healthy" to an enormously complex range of predispositions, the dietary modulation of these propensities has become an area of active research. Classical genetic approaches applied so far in medical genetics have steered away from incorporating dietary effects in their models and paradoxically, most genetic studies analyzing diet-associated phenotypes and diseases simply ignore diet. Yet, a modest but increasing number of studies are accounting for diet as a modulator of genetic associations. These range from observational cohorts to intervention studies with prospectively selected genotypes. New statistical and bioinformatics approaches are becoming available to aid in design and evaluation of these studies. This review discusses the various approaches used and provides concrete recommendations for future research.

Identifiers

PMID18850186
PMCPMC2467452

What OpenQuestion holds

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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.