Evidence map›Paper›PMID 23675527›Full record

ArticlePloS one2013

The association of common SNPs and haplotypes in CETP gene with HDL cholesterol levels in Latvian population.

Ilze Radovica, Davids Fridmanis, Iveta Vaivade, Liene Nikitina-Zake, Janis Klovins

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
3.0field-weighted citation impact, top 9% 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

14 citing papers in PubMed, 23 citations in OpenAlex.

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  6. Association between Six CETP Polymorphisms and Metabolic Syndrome in Uyghur Adults from Xinjiang, China.International journal of environmental research and public health · 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

5 authors at 1 institution in 1 country.

Ilze RadovicaLatvian Biomedical Research and Study Centre, Riga, Latvia.
Davids Fridmanis
Iveta Vaivade
Liene Nikitina-Zake
Janis Klovins
Latvian Biomedical Research and Study Centre · LV

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The heritability of high-density lipoprotein cholesterol (HDL-C) level is estimated at approximately 50%. Recent genome-wide association studies have identified genes involved in regulation of high-density lipoprotein cholesterol (HDL-C) levels. The precise genetic profile determining heritability of HDL-C however are far from complete and there is substantial room for further characterization of genetic profiles influencing blood lipid levels. Here we report an association study comparing the distribution of 139 SNPs from more than 30 genes between groups that represent extreme ends of HDL-C distribution. We genotyped 704 individuals that were selected from Genome Database of Latvian Population. 10 SNPs from CETP gene showed convincing association with low HDL-C levels (rs1800775, rs3764261, rs173539, rs9939224, rs711752, rs708272, rs7203984, rs7205804, rs11076175 and rs9929488) while 34 SNPs from 10 genes were nominally associated (p<0.05) with HDL-C levels. We have also identified haplotypes from CETP with distinct effects on determination of HDL-C levels. Our conclusion: So far the SNPs in CETP gene are identified as the most common genetic factor influencing HDL-C levels in the representative sample from Latvian population.

Indexed as

HaplotypesPolymorphism, Single NucleotideAdolescentAdultAgedAged, 80 and overAllelesCholesterol Ester Transfer ProteinsCholesterol, HDLCholesterol, LDLDatabases, GeneticFemaleGenome-Wide Association StudyHeredityHumansLatviaCETP protein, humanCholesterol Ester Transfer ProteinsCholesterol, HDLCholesterol, LDL

Identifiers

PMID23675527
PMCPMC3652817
OpenAlexW1993905232

What OpenQuestion holds

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LicenceCC BY
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.