Evidence map›Paper›PMID 38795312›Full record

ArticleJournal of endocrinological investigation2024

Impact of polygenic risk score for triglyceride trajectory and diabetic complications in subjects with type 2 diabetes based on large electronic medical record data from Taiwan: a case control study.

W-L Liao, Y-C Huang, Y-W Chang, C-F Cheng, T-Y Liu, H-F Lu, H-L Chen, F-J Tsai

Abstract read
PubMed Publisher
In one paragraph

Article in Journal of endocrinological investigation, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

W-L LiaoGraduate Institute of Integrated Medicine, College of Chinese Medicine, China Medical University, Taichung, 40402, Taiwan.
Y-C HuangSchool of Chinese Medicine, China Medical University, Taichung, 40402, Taiwan.
Y-W ChangGraduate Institute of Integrated Medicine, College of Chinese Medicine, China Medical University, Taichung, 40402, Taiwan.
C-F ChengBig Data Center, China Medical University Hospital, Taichung, 40447, Taiwan.
T-Y LiuMillion-Person Precision Medicine Initiative, Department of Medical Research, China Medical University Hospital, Taichung, 40447, Taiwan.
H-F LuMillion-Person Precision Medicine Initiative, Department of Medical Research, China Medical University Hospital, Taichung, 40447, Taiwan.
H-L Chen *Big Data Center, China Medical University Hospital, Taichung, 40447, Taiwan.
F-J Tsai *School of Chinese Medicine, China Medical University, Taichung, 40402, Taiwan. 000704@tool.caaumed.org.tw.

Funding

China Medical University Hospital DMR-112-071China Medical University Hospital DMR-113-092China Medical University, Taiwan CMU110-MF-71National Science and Technology Council NSTC 112-2314-B-039-041-MY2
6 · The paper itself

Abstract

backgroundThe prevalence of diabetic dyslipidemia has gradually increased worldwide and individuals with hypertriglyceridemia often have a high polygenic burden of triglyceride (TG)-increasing variants. However, the contribution of genetic variants to dyslipidemia in patients with type 2 diabetes (T2D) remains limited. Therefore, in this study, we aimed to investigate the genetic characteristics of longitudinal changes in TG levels among patients with T2D and summarize the genetic effects of polygenic risk score (PRS) on TG trajectory and risk of diabetic complications.

methodsWe conducted a case-control study. A total of 11,312 patients with T2D with longitudinal TG and genetic data were identified from a large hospital database in Taiwan. We then performed a genome-wide association study and calculated the relative PRS.

resultsIn total, 21 single-nucleotide polymorphisms (SNPs) related to TG trajectory were identified and yielded an area under the receiver operating characteristic curve (ROC) of 0.712 for high TG trajectory risk among Taiwanese patients with T2D. A cumulative genetic effect was observed for high TG trajectory, even when considering the adherence of a lipid-lowering agent in stratified analysis. An increased PRS increases high TG trajectory risk in a logistic regression model (odds ratio = 1.55; 95% confidence interval [CI] = 1.31-1.83 in the validation cohort). The TG-specific PRS was associated with the risk of diabetic microvascular complications, including diabetic retinopathy and nephropathy (with hazard ratios of 1.11 [95% CI = 1.01-1.21, P = 0.027] and 1.05 [95% CI = 1.01-1.1, P = 0.018], respectively).

conclusionsThis study may contribute to the identification of patients with T2D who are at risk of abnormal TG levels and diabetic microvascular complications using polygenic information.

Indexed as

Diabetes Mellitus, Type 2Electronic Health RecordsGenome-Wide Association StudyMultifactorial InheritancePolymorphism, Single NucleotideTriglyceridesAgedCase-Control StudiesDiabetes ComplicationsFemaleGenetic Predisposition to DiseaseGenetic Risk ScoreHumansHypertriglyceridemiaMaleMiddle AgedTriglyceridesGenome-wide association studyPolygenic risk scoreTrajectoryTriglycerideType 2 diabetes

Identifiers

PMID38795312

What OpenQuestion holds

Textmetadata
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.