Evidence map›Paper›PMID 15601539›Full record

ReviewHuman genomics2004

Pharmacogenetics of lipid diseases.

Jose M Ordovas

Open access · goldAbstract readReview
In one paragraph

Review in Human genomics, 2004. 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
0.6field-weighted citation impact, top 26% 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

7 citing papers in PubMed, 11 citations in OpenAlex.

  1. Trial
  2. Article
  3. The open AIDS journal · 2016
    Article
  4. Article
  5. Review
  6. Article
  7. 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

1 author at 1 institution in 1 country.

Jose M OrdovasNutrition and Genomics Laboratory, Jean Mayer-United States Department of Agriculture, Human Nutrition Research Center on Aging at Tufts University, Boston, MA 02111, USA. jose.ordovas@tufts.edu
United States Department of Agriculture · US

Funding

GENE/DIET EFFECTS ON PLASMA LIPOPROTEIN LEVELSR01HL054776 · NHLBI · TUFTS UNIVERSITY BOSTON · PI ORDOVAS, JOSE M. · 1996 to 2010
$2.6M
NHLBI NIH HHS HL54776
6 · The paper itself

Abstract

The genetic basis for most of the rare lipid monogenic disorders have been elucidated, but the challenge remains in determining the combination of genes that contribute to the genetic variability in lipid levels in the general population; this has been estimated to be in the range of 40-60 per cent of the total variability. Therefore, the effect of common polymorphisms on lipid phenotypes will be greatly modulated by gene-gene and gene-environment interactions. This approach can also be used to characterise the individuality of the response to lipid-lowering therapies, whether using drugs (pharmacogenetics) or dietary interventions (nutrigenetics). In this regard, multiple studies have already described significant interactions between candidate genes for lipid and drug metabolism that modulate therapeutic response-although the outcomes of these studies have been controversial and call for more rigorous experimental design and analytical approaches. Once solid evidence about the predictive value of genetic panels is obtained, risk and therapeutic algorithms can begin to be generated that should provide an accurate measure of genetic predisposition, as well as targeted behavioural modifications or drugs of choice and personalized dosages of these drugs.

Indexed as

PharmacogeneticsAnimalsApolipoproteins EArteriosclerosisCardiovascular DiseasesCholesterolGenetic VariationHumansHyperlipidemiasHypolipidemic AgentsLipidsModels, BiologicalPolymorphism, GeneticApolipoproteins ECholesterolHypolipidemic AgentsLipids

Identifiers

PMID15601539
PMCPMC3525073
OpenAlexW2103489000

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.