Evidence map›Paper›PMID 24376512›Full record

ArticlePloS one2013

Gene-gene combination effect and interactions among ABCA1, APOA1, SR-B1, and CETP polymorphisms for serum high-density lipoprotein-cholesterol in the Japanese population.

Akihiko Nakamura, Hideshi Niimura, Kazuyo Kuwabara, Toshiro Takezaki, Emi Morita, Kenji Wakai, Nobuyuki Hamajima, Yuichiro Nishida, Tanvir Chowdhury Turin, Sadao Suzuki and 7 more

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 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.2field-weighted citation impact, top 21% 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

12 citing papers in PubMed, 20 citations in OpenAlex.

  1. Trial
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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

17 authors at 11 institutions in 2 countries.

Akihiko NakamuraDepartment of International Island and Community Medicine, Kagoshima University Graduate School of Medical and Dental Sciences, Kagoshima, Japan.
Hideshi NiimuraDepartment of International Island and Community Medicine, Kagoshima University Graduate School of Medical and Dental Sciences, Kagoshima, Japan.
Kazuyo KuwabaraEducation Center for Doctors in Remote Islands and Rural Areas, Kagoshima University Graduate School of Medical and Dental Sciences, Kagoshima, Japan.
Toshiro TakezakiDepartment of International Island and Community Medicine, Kagoshima University Graduate School of Medical and Dental Sciences, Kagoshima, Japan.
Emi MoritaDepartment of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya, Japan.
Kenji WakaiDepartment of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya, Japan.
Nobuyuki HamajimaDepartment of Healthcare Administration, Nagoya University Graduate School of Medicine, Nagoya, Japan.
Yuichiro NishidaDepartment of Preventive Medicine, Faculty of Medicine, Saga University, Saga, Japan.
Tanvir Chowdhury TurinDepartment of Health Science, Shiga University of Medical Science Otsu, Japan ; Department of Medicine, University of Calgary, Calgary, Canada.
Sadao SuzukiDepartment of Public Health, Nagoya City University Graduate School of Medical Sciences, Nagoya, Japan.
Keizo OhnakaDepartment of Geriatric Medicine, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.
Hirokazu UemuraDepartment of Preventive Medicine, Institute of Health Biosciences, University of Tokushima Graduate School, Tokushima, Japan.
Etsuko OzakiDepartment of Epidemiology for Community Health and Medicine, Kyoto Prefectural University of Medicine, Kyoto, Japan.
Satoyo HosonoDivision of Epidemiology and Prevention, Aichi Cancer Center Research Institute, Nagoya, Japan.
Haruo MikamiDivision of Cancer Registry, Prevention and Epidemiology, Chiba Cancer Center, Chiba, Japan.
Michiaki KuboLaboratory for Genotyping Development, Center for Genomic Medicine, RIKEN, Yokohama, Japan.
Hideo TanakaDivision of Epidemiology and Prevention, Aichi Cancer Center Research Institute, Nagoya, Japan.
Kagoshima University · JPNagoya University · JPAichi Cancer Center · JPChiba Cancer Center · JPKyoto Prefectural University of Medicine · JPKyushu University · JPNagoya City University · JPRIKEN Center for Integrative Medical Sciences · JPSaga University · JPTokushima University · JPUniversity of Calgary · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND/

objectiveGene-gene interactions in the reverse cholesterol transport system for high-density lipoprotein-cholesterol (HDL-C) are poorly understood. The present study observed gene-gene combination effect and interactions between single nucleotide polymorphisms (SNPs) in ABCA1, APOA1, SR-B1, and CETP in serum HDL-C from a cross-sectional study in the Japanese population.

methodsThe study population comprised 1,535 men and 1,515 women aged 35-69 years who were enrolled in the Japan Multi-Institutional Collaborative Cohort (J-MICC) Study. We selected 13 SNPs in the ABCA1, APOA1, CETP, and SR-B1 genes in the reverse cholesterol transport system. The effects of genetic and environmental factors were assessed using general linear and logistic regression models after adjusting for age, sex, and region. PRINCIPAL

findingsAlcohol consumption and daily activity were positively associated with HDL-C levels, whereas smoking had a negative relationship. The T allele of CETP, rs3764261, was correlated with higher HDL-C levels and had the highest coefficient (2.93 mg/dL/allele) among the 13 SNPs, which was statistically significant after applying the Bonferroni correction (p<0.001). Gene-gene combination analysis revealed that CETP rs3764261 was associated with high HDL-C levels with any combination of SNPs from ABCA1, APOA1, and SR-B1, although no gene-gene interaction was apparent. An increasing trend for serum HDL-C was also observed with an increasing number of alleles (p<0.001).

conclusionsThe present study identified a multiplier effect from a polymorphism in CETP with ABCA1, APOA1, and SR-B1, as well as a dose-dependence according to the number of alleles present.

Indexed as

Epistasis, GeneticAdultAgedApolipoprotein A-IAsian PeopleATP Binding Cassette Transporter 1Cholesterol Ester Transfer ProteinsConfidence IntervalsFemaleGene FrequencyGeographyHumansJapanLinear ModelsLipoproteins, HDLMaleABCA1 protein, humanAPOA1 protein, humanApolipoprotein A-IATP Binding Cassette Transporter 1CETP protein, humanCholesterol Ester Transfer ProteinsLipoproteins, HDLSCARB1 protein, humanScavenger Receptors, Class B

Identifiers

PMID24376512
PMCPMC3869658
OpenAlexW1995435067

What OpenQuestion holds

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LicenceCC BY
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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.