Evidence map›Paper›PMID 32722627›Full record

ArticleNutrients2020

Interactions of Habitual Coffee Consumption by Genetic Polymorphisms with the Risk of Prediabetes and Type 2 Diabetes Combined.

Taiyue Jin, Jiyoung Youn, An Na Kim, Moonil Kang, Kyunga Kim, Joohon Sung, Jung Eun Lee

Open access · goldAbstract read
In one paragraph

Article in Nutrients, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
2.0field-weighted citation impact, top 14% 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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 27 citations in OpenAlex.

  1. Pooled it
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  7. Genome-wide association studies of coffee intake in UK/US participants of European ancestry uncover cohort-specific genetic associations.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2024
    Article
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  11. Observational
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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

7 authors at 2 institutions in 1 country.

Taiyue JinDepartment of Food and Nutrition, College of Human Ecology, Seoul National University, Seoul 08826, Korea.
Jiyoung YounDepartment of Food and Nutrition, College of Human Ecology, Seoul National University, Seoul 08826, Korea.ORCID 0000-0002-7876-3847
An Na KimDepartment of Food and Nutrition, College of Human Ecology, Seoul National University, Seoul 08826, Korea.
Moonil KangInstitute of Health and Environment, Graduate School of Public Health, Seoul National University, Seoul 08826, Korea.ORCID 0000-0001-5932-6804
Kyunga KimStatistics and Data Center, Research Institute for Future Medicine, Samsung Medical Center, Seoul 03181, Korea.
Joohon SungDepartment of Epidemiology, Graduate School of Public Health, Seoul National University, Seoul 08826, Korea.
Jung Eun LeeDepartment of Food and Nutrition, College of Human Ecology, Seoul National University, Seoul 08826, Korea.ORCID 0000-0003-1141-878X
Seoul National University · KRSamsung (South Korea) · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Habitual coffee consumption and its association with health outcomes may be modified by genetic variation. Adults aged 40 to 69 years who participated in the Korea Association Resource (KARE) study were included in this study. We conducted a genome-wide association study (GWAS) on coffee consumption in 7868 Korean adults, and examined whether the association between coffee consumption and the risk of prediabetes and type 2 diabetes combined was modified by the genetic variations in 4054 adults. In the GWAS for coffee consumption, a total of five single nucleotide polymorphisms (SNPs) located in 12q24.11-13 (rs2074356, rs11066015, rs12229654, rs11065828, and rs79105258) were selected and used to calculate weighted genetic risk scores. Individuals who had a larger number of minor alleles for these five SNPs had higher genetic risk scores. Multivariate logistic regression models were used to estimate the odds ratios (ORs) and 95% confidence intervals (95% CIs) to examine the association. During the 12 years of follow-up, a total of 2468 (60.9%) and 480 (11.8%) participants were diagnosed as prediabetes or type 2 diabetes, respectively. Compared with non-black-coffee consumers, the OR (95% CI) for ≥2 cups/day by black-coffee consumers was 0.61 (0.38-0.95;

Indexed as

AdultAgedCoffeeDiabetes Mellitus, Type 2Drinking BehaviorFemaleGenome-Wide Association StudyHumansIncidenceLogistic ModelsMaleMiddle AgedOdds RatioPolymorphism, Single NucleotidePrediabetic StatePrevalenceCoffeecoffee consumptiongenome-wide association analysis (GWAS)prediabetessingle nucleotide polymorphism (SNP)type 2 diabetes

Identifiers

PMID32722627
PMCPMC7468962
OpenAlexW3044066421

What OpenQuestion holds

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LicenceCC BY
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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.