Evidence map›Paper›PMID 26252223›Full record

ArticlePloS one2015

Genetic Variants Associated with Lipid Profiles in Chinese Patients with Type 2 Diabetes.

Xiaomu Kong, Qi Zhao, Xiaoyan Xing, Bo Zhang, Xuelian Zhang, Jing Hong, Wenying Yang

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
0.7field-weighted citation impact, top 23% 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

10 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. 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

7 authors at 2 institutions in 2 countries.

Xiaomu KongDepartment of Endocrinology, China-Japan Friendship Hospital, Beijing, China.
Qi ZhaoDepartment of Epidemiology, Tulane School of Public Health and Tropical Medicine, New Orleans, Louisiana, United States of America.
Xiaoyan XingDepartment of Endocrinology, China-Japan Friendship Hospital, Beijing, China.
Bo ZhangDepartment of Endocrinology, China-Japan Friendship Hospital, Beijing, China.
Xuelian ZhangDepartment of Endocrinology, China-Japan Friendship Hospital, Beijing, China.
Jing HongDepartment of Endocrinology, China-Japan Friendship Hospital, Beijing, China.
Wenying YangDepartment of Endocrinology, China-Japan Friendship Hospital, Beijing, China.
China-Japan Friendship Hospital · CNTulane University · US

Funding

Tulane Building Interdisciplinary Research Careers in Women's Health (BIRCWH)K12HD043451 · NICHD · TULANE UNIVERSITY OF LOUISIANA · PI KROUSEL-WOOD, MARIE · 2002 to 2023
$9.9M
Research Training in Gene-Environment Interaction in ChinaD43TW009107 · FIC · TULANE UNIVERSITY OF LOUISIANA · PI GU, DONGFENG, HE, JIANG · 2012 to 2016
$1.1M
FIC NIH HHS D43 TW009107FIC NIH HHS D43TW009107NICHD NIH HHS K12 HD043451NICHD NIH HHS K12HD043451
6 · The paper itself

Abstract

Dyslipidemia is a strong risk factor for cardiovascular disease among patients with type 2 diabetes (T2D). The aim of this study was to identify lipid-related genetic variants in T2D patients of Han Chinese ancestry. Among 4,908 Chinese T2D patients who were not taking lipid-lowering medications, single nucleotide polymorphisms (SNPs) in seven genes previously found to be associated with lipid traits in genome-wide association studies conducted in populations of European ancestry (ABCA1, GCKR, BAZ1B, TOMM40, DOCK7, HNF1A, and HNF4A) were genotyped. After adjusting for multiple covariates, SNPs in ABCA1, GCKR, BAZ1B, TOMM40, and HNF1A were identified as significantly associated with triglyceride levels in T2D patients (P < 0.05). The associations between the SNPs in ABCA1 (rs3890182), GCKR (rs780094), and BAZ1B (rs2240466) remained significant even after correction for multiple testing (P = 8.85×10(-3), 7.88×10(-7), and 2.03×10(-6), respectively). BAZ1B (rs2240466) also was associated with the total cholesterol level (P = 4.75×10(-2)). In addition, SNP rs157580 in TOMM40 was associated with the low-density lipoprotein cholesterol level (P = 6.94×10(-3)). Our findings confirm that lipid-related genetic loci are associated with lipid profiles in Chinese patients with type 2 diabetes.

Indexed as

Polymorphism, Single NucleotideAllelesAsian PeopleBody Mass IndexCardiovascular DiseasesChinaCholesterolCholesterol, LDLDiabetes ComplicationsDiabetes Mellitus, Type 2DyslipidemiasFemaleGenotypeGlucose Tolerance TestHumansLipidsCholesterolCholesterol, LDLLipidsTriglycerides

Identifiers

PMID26252223
PMCPMC4529182
OpenAlexW2107993173

What OpenQuestion 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 OpenQuestion graph.