Evidence map›Paper›PMID 30767168›Full record

ArticleGenes & genomics2019

Genetic risk score combining six genetic variants associated with the cellular NRF2 expression levels correlates with Type 2 diabetes in the human population.

Jae Hun Shin, Kyung-Mi Lee, Jimin Shin, Kui Dong Kang, Chu Won Nho, Yoon Shin Cho

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Article in Genes & genomics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.3field-weighted citation impact, top 42% 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

8 citing papers in PubMed, 12 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

6 authors at 3 institutions in 1 country.

Jae Hun ShinDepartment of Biomedical Science, Hallym University, Chuncheon, 200-702, Gangwon-do, Republic of Korea.
Kyung-Mi LeeConvergence Research Center for Smart Farm Solution, Korea Institute of Science and Technology, Gangneung, Republic of Korea.
Jimin ShinConvergence Research Center for Smart Farm Solution, Korea Institute of Science and Technology, Gangneung, Republic of Korea.
Kui Dong KangDepartment of Ophthalmology, The Catholic University of Korea Incheon St. Mary's Hospital, Incheon, Republic of Korea.
Chu Won NhoConvergence Research Center for Smart Farm Solution, Korea Institute of Science and Technology, Gangneung, Republic of Korea.
Yoon Shin ChoDepartment of Biomedical Science, Hallym University, Chuncheon, 200-702, Gangwon-do, Republic of Korea. yooncho33@hallym.ac.kr.ORCID 0000-0002-7121-3471
Hallym University · KRKorea Institute of Science and Technology · KRThe Catholic University of Korea Incheon St. Mary's Hospital · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundType 2 diabetes (T2D) is known as an inflammatory disease. NRF2 (Nuclear Factor Erythroid 2 Like2) encodes a transcription factor that binds to antioxidant response elements (AREs) and regulates the expression of genes involved in many antioxidant responses.

objectiveThis study aimed to gain insight into individual anti-inflammatory activity to prevent T2D development in humans.

methodsWe performed a genome-wide association study (GWAS) to identify genetic variants influencing NRF2 expression in LCLs (lymphoblastoid cell lines) generated from 74 different individuals. Association analyses between T2D or its related traits and genetic risk score (GRS) calculated by combining genetic variants detected from GWAS for cellular NRF2 expression were performed using data from 8715 subjects. The T2D prediction model using GRS was evaluated by measuring the area under the curve (AUC) of the receiver operating characteristics (ROC) curve.

resultsOur GWAS identified six genetic variants (SNP) showing suggestive evidence of associations with cellular NRF2 expression (P < 10

conclusionThis study highlights genetic variants associated with cellular NRF2 expression and suggests that the GRS of NRF2 expression-associated variants is likely to be a useful indicator of T2D development in the human population.

Indexed as

AllelesArea Under CurveBiomarkersCase-Control StudiesCell LineDiabetes Mellitus, Type 2FemaleGene FrequencyGenetic Predisposition to DiseaseGenetic TestingGenetic VariationGenome-Wide Association StudyHumansLymphocytesMaleMiddle AgedBiomarkersNFE2L2 protein, humanNF-E2-Related Factor 2Genetic risk score (GRS)Genome-wide association study (GWAS)InflammationNuclear factor erythroid 2 like2 (NRF2)Oxidative stressSingle nucleotide polymorphism (SNP)Type 2 diabetes (T2D)

Identifiers

PMID30767168
OpenAlexW2913692862

What OpenQuestion holds

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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.