Evidence mapPaperPMID 35956399Full record

ArticleNutrients2022

Association of Polygenic Variants with Type 2 Diabetes Risk and Their Interaction with Lifestyles in Asians.

Haeng Jeon Hur, Hye Jeong Yang, Min Jung Kim, Kyun-Hee Lee, Myung-Sunny Kim, Sunmin Park

Open access · goldAbstract read
In one paragraph

Article in Nutrients, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 1 pooled it
5.8field-weighted citation impact, top 3% 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

26 citing papers in PubMed, 1 synthesis or guideline pooled it, 33 citations in OpenAlex.

  1. Pooled it
  2. A genomic structural equation modelling analysis of the shared genetic architecture of the aging spine.European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society · 2026
    Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Review
  17. Review
  18. Article
  19. Article
  20. Article
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 2 institutions in 1 country.

Haeng Jeon HurResearch Group of Personalized Diet, Korea Food Research Institute, Wanju-gun 55365, Jeollabuk-do, Korea.ORCID 0000-0001-9469-010X
Hye Jeong YangResearch Group of Personalized Diet, Korea Food Research Institute, Wanju-gun 55365, Jeollabuk-do, Korea.
Min Jung KimResearch Group of Personalized Diet, Korea Food Research Institute, Wanju-gun 55365, Jeollabuk-do, Korea.
Kyun-Hee LeeResearch Group of Personalized Diet, Korea Food Research Institute, Wanju-gun 55365, Jeollabuk-do, Korea.
Myung-Sunny KimResearch Group of Personalized Diet, Korea Food Research Institute, Wanju-gun 55365, Jeollabuk-do, Korea.ORCID 0000-0002-5020-3397
Sunmin ParkDepartment of Food and Nutrition, Obesity/Diabetes Research Center, Hoseo University, 165 Sechul-Ri, BaeBang-Yup, Asan-si 31499, Chungnam-do, Korea.ORCID 0000-0002-6092-8340
Korea Food Research Institute · KRHoseo University · KR

Funding

Korea Food Research Institute E0220602-02
6 · The paper itself

Abstract

Over the last several decades, there has been a considerable growth in type 2 diabetes (T2DM) in Asians. A pathophysiological mechanism in Asian T2DM is closely linked to low insulin secretion, β-cell mass, and inability to compensate for insulin resistance. We hypothesized that genetic variants associated with lower β-cell mass and function and their combination with unhealthy lifestyle factors significantly raise T2DM risk among Asians. This hypothesis was explored with participants aged over 40. Participants were categorized into T2DM (case; n = 5383) and control (n = 53,318) groups. The genetic variants associated with a higher risk of T2DM were selected from a genome-wide association study in a city hospital-based cohort, and they were confirmed with a replicate study in Ansan/Ansung plus rural cohorts. The interacted genetic variants were identified with generalized multifactor dimensionality reduction analysis, and the polygenic risk score (PRS)-nutrient interactions were examined. The 8-SNP model was positively associated with T2DM risk by about 10 times, exhibiting a higher association than the 20-SNP model, including all T2DM-linked SNPs with p < 5 × 10−6. The SNPs in the models were primarily involved in pancreatic β-cell growth and survival. The PRS of the 8-SNP model interacted with three lifestyle factors: energy intake based on the estimated energy requirement (EER), Western-style diet (WSD), and smoking status. Fasting serum glucose concentrations were much higher in the participants with High-PRS in rather low EER intake and high-WSD compared to the High-EER and Low-WSD, respectively. They were shown to be higher in the participants with High-PRS in smokers than in non-smokers. In conclusion, the genetic impact of T2DM risk was mainly involved with regulating pancreatic β-cell mass and function, and the PRS interacted with lifestyles. These results highlight the interaction between genetic impacts and lifestyles in precision nutrition.

Indexed as

Diabetes Mellitus, Type 2AdultAsian PeopleGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansInsulinLife StyleMiddle AgedPolymorphism, Single NucleotideRisk FactorsInsulinhyperglycemiainsulin secretionpancreatic β-cell masspolygenetic variants

Identifiers

PMID35956399
PMCPMC9370736
OpenAlexW4291818586

What Socratic holds

Textmetadata
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 Socratic graph.