Evidence map›Paper›PMID 23105935›Full record

ArticleGenomics & informatics2012

Interaction Effects of Lipoprotein Lipase Polymorphisms with Lifestyle on Lipid Levels in a Korean Population: A Cross-sectional Study.

Jung-A Pyun, Sunshin Kim, Kyungchae Park, Inkyung Baik, Nam H Cho, Insong Koh, Jong-Young Lee, Yoon Shin Cho, Young Jin Kim, Min Jin Go and 3 more

Open access · diamondAbstract read
In one paragraph

Article in Genomics & informatics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.0field-weighted citation impact, top 23% 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

5 citing papers in PubMed, 10 citations in OpenAlex.

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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

13 authors at 6 institutions in 1 country.

Jung-A PyunDepartment of Biomedical Science, College of Life Science, CHA University, Seongnam 463-836, Korea.
Sunshin Kim
Kyungchae Park
Inkyung Baik
Nam H Cho
Insong Koh
Jong-Young Lee
Yoon Shin Cho
Young Jin Kim
Min Jin Go
Eugene Shim
Kyubum Kwack
Chol Shin
CHA University · KRAjou University · KRHanyang University · KRKookmin University · KRKorea University · KRYonsei University Health System · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lipoprotein lipase (LPL) plays an essential role in the regulation of high-density lipoprotein cholesterol (HDLC) and triglyceride levels, which have been closely associated with cardiovascular diseases. Genetic studies in European have shown that LPL single-nucleotide polymorphisms (SNPs) are strongly associated with lipid levels. However, studies about the influence of interactions between LPL SNPs and lifestyle factors have not been sufficiently performed. Here, we examine if LPL polymorphisms, as well as their interaction with lifestyle factors, influence lipid concentrations in a Korean population. A two-stage association study was performed using genotype data for SNPs on the LPL gene, including the 3' flanking region from 7,536 (stage 1) and 3,703 (stage 2) individuals. The association study showed that 15 SNPs and 4 haplotypes were strongly associated with HDLC (lowest p = 2.86 × 10(-22)) and triglyceride levels (lowest p = 3.0 × 10(-15)). Interactions between LPL polymorphisms and lifestyle factors (lowest p = 9.6 × 10(-4)) were also observed on lipid concentrations. These findings suggest that there are interaction effects of LPL polymorphisms with lifestyle variables, including energy intake, fat intake, smoking, and alcohol consumption, as well as effects of LPL polymorphisms themselves, on lipid concentrations in a Korean population.

Indexed as

interactionlipidslipoprotein lipaselipoproteinssingle nucleotide polymorphism

Identifiers

PMID23105935
PMCPMC3480683
OpenAlexW2054812679

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.