Evidence map›Paper›PMID 22328972›Full record

ArticleJournal of data mining in genomics & proteomics2011

A Database of Gene-Environment Interactions Pertaining to Blood Lipid Traits, Cardiovascular Disease and Type 2 Diabetes.

Yu-Chi Lee, Chao-Qiang Lai, Jose M Ordovas, Laurence D Parnell

Abstract read
In one paragraph

Article in Journal of data mining in genomics & proteomics, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 4 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

32 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Pooled it
  2. Systematic Review of Polygenic Risk Scores for Type 1 and Type 2 Diabetes.International journal of molecular sciences · 2020
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  15. Association of theInternational journal of clinical and experimental pathology · 2017
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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

4 authors.

Yu-Chi LeeNutrition and Genomics Laboratory, Jean Mayer-United States Department of Agriculture Human Nutrition Research Center on Aging at Tufts University, 711 Washington Street, Boston, MA 02111, USA.
Chao-Qiang Lai
Jose M Ordovas
Laurence D Parnell

Funding

Genetic and Environmental Determinants of TriglyceridesU01HL072524 · NHLBI · UNIVERSITY OF MINNESOTA TWIN CITIES · PI ARNETT, DONNA K · 2002 to 2008
$11.9M
Center for Research/Nutrition &Health among the ElderlyP01AG023394 · NIA · TUFTS UNIVERSITY BOSTON · PI TUCKER, KATHERINE L · 2003 to 2007
$8.1M
GENE/DIET EFFECTS ON PLASMA LIPOPROTEIN LEVELSR01HL054776 · NHLBI · TUFTS UNIVERSITY BOSTON · PI ORDOVAS, JOSE M. · 1996 to 2010
$2.6M
PAT PROTEINS: GENE-DIET INTERACTIONS OBESITY RISK AND HEALTHR01DK075030 · NIDDK · TUFTS UNIVERSITY BOSTON · PI ORDOVAS, JOSE M. · 2007 to 2009
$989k
NHLBI NIH HHS R01 HL054776NHLBI NIH HHS U01 HL072524NIA NIH HHS P01 AG023394NIDDK NIH HHS R01 DK075030
6 · The paper itself

Abstract

As the role of the environment - diet, exercise, alcohol and tobacco use and sleep among others - is accorded a more prominent role in modifying the relationship between genetic variants and clinical measures of disease, consideration of gene-environment (GxE) interactions is a must. To facilitate incorporation of GxE interactions into single-gene and genome-wide association studies, we have compiled from the literature a database of GxE interactions relevant to nutrition, blood lipids, cardiovascular disease and type 2 diabetes. Over 550 such interactions have been incorporated into a single database, along with over 1430 instances where a lack of statistical significance was found. This database will serve as an important resource to researchers in genetics and nutrition in order to gain an understanding of which points in the human genome are sensitive to variations in diet, physical activity and alcohol use, among other lifestyle choices. Furthermore, this GxE database has been designed with future integration into a larger database of nutritional phenotypes in mind.

Identifiers

PMID22328972
PMCPMC3275815

What OpenQuestion holds

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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.