Evidence map›Paper›PMID 30270018›Full record

ArticleJournal of diabetes and its complications2018

Additional common variants associated with type 2 diabetes and coronary artery disease detected using a pleiotropic cFDR method.

Qiang Zhang, Hui-Min Liu, Wan-Qiang Lv, Jing-Yang He, Xin Xia, Wei-Dong Zhang, Hong-Wen Deng, Chang-Qing Sun

Open access · greenAbstract read
In one paragraph

Article in Journal of diabetes and its complications, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
0.4field-weighted citation impact, top 30% 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 7 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Quantitative Expression ofGenetics research · 2022
    Article
  4. Article
  5. 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

8 authors at 2 institutions in 2 countries.

Qiang ZhangCollege of Public Health, Zhengzhou University, Zhengzhou, No. 100 Kexue Road, High-Tech Development Zone Of States, PR China.
Hui-Min LiuCollege of Public Health, Zhengzhou University, Zhengzhou, No. 100 Kexue Road, High-Tech Development Zone Of States, PR China.
Wan-Qiang LvCollege of Public Health, Zhengzhou University, Zhengzhou, No. 100 Kexue Road, High-Tech Development Zone Of States, PR China.
Jing-Yang HeCollege of Public Health, Zhengzhou University, Zhengzhou, No. 100 Kexue Road, High-Tech Development Zone Of States, PR China.
Xin XiaCollege of Public Health, Zhengzhou University, Zhengzhou, No. 100 Kexue Road, High-Tech Development Zone Of States, PR China.
Wei-Dong ZhangCollege of Public Health, Zhengzhou University, Zhengzhou, No. 100 Kexue Road, High-Tech Development Zone Of States, PR China.
Hong-Wen DengCollege of Public Health, Zhengzhou University, Zhengzhou, No. 100 Kexue Road, High-Tech Development Zone Of States, PR China; Center for Bioinformatics and Genomics, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA 70112, USA.
Chang-Qing SunCollege of Public Health, Zhengzhou University, Zhengzhou, No. 100 Kexue Road, High-Tech Development Zone Of States, PR China. Electronic address: suncq@zzu.edu.cn.
Zhengzhou University · CNTulane University · US

Funding

Tulane COBRE in Cardiometabolic Diseases Clinical Research CoreP20GM109036 · NIGMS · TULANE UNIVERSITY OF LOUISIANA · PI Ning Liu · 2016 to 2026
$25.3M
Trans-omics Integration of Multi-omics Studies for OsteoporosisU19AG055373 · NIA · TULANE UNIVERSITY OF LOUISIANA · PI HONG-WEN DENG · 2017 to 2026
$24.3M
Multivariate methods for identifying multitask/multimodal brain imaging biomarkersR01EB006841 · NIBIB · THE MIND RESEARCH NETWORK · PI VINCE D CALHOUN, Sergey Plis · 2007 to 2026
$9.8M
Decoding Methylation Mediated Epigenomic Contributions to Male OsteoporosisR01AR069055 · NIAMS · TULANE UNIVERSITY OF LOUISIANA · PI DENG, HONG-WEN · 2017 to 2021
$2.9M
Unified multivariate data-driven solutions for static and dynamic brain connectivityR01EB020407 · NIBIB · THE MIND RESEARCH NETWORK · PI ADALI, TULAY, CALHOUN, VINCE D · 2015 to 2018
$2.7M
Integration of brain imaging with genomic and epigenomic dataR01MH104680 · NIMH · TULANE UNIVERSITY OF LOUISIANA · PI CALHOUN, VINCE D, DENG, HONG-WEN · 2014 to 2017
$2.1M
NIAMS NIH HHS R01 AR069055NIA NIH HHS U19 AG055373NIBIB NIH HHS R01 EB006841NIBIB NIH HHS R01 EB020407NIGMS NIH HHS P20 GM109036NIMH NIH HHS R01 MH104680
6 · The paper itself

Abstract

Genome-wide association studies (GWASs) have been performed extensively in diverse populations to identify single nucleotide polymorphisms (SNPs) associated with complex diseases or traits. However, to date, the SNPs identified fail to explain a large proportion of the variance of the traits/diseases. GWASs on type 2 diabetes (T2D) and coronary artery disease (CARD) are generally performed as single-trait studies, rather than analyzing the related traits simultaneously. Despite the extensive evidence suggesting that these two phenotypes share both genetic and environmental risk factors, the shared overlapping genetic biological mechanisms between these traits remain largely unexplored. Here, we adopted a recently developed genetic pleiotropic conditional false discovery rate (cFDR) approach to discover novel loci associated with T2D and CARD by incorporating the summary statistics from existing GWASs of these two traits. Applying the cFDR level of 0.05, 33 loci were identified for T2D and 34 loci for CARD, 9 of which for both. By incorporating pleiotropic effects into a conditional analysis framework, we observed that there is significant pleiotropic enrichment between T2D and CARD. These findings may provide novel insights into the etiology of T2D and CARD, as well as the processes that may influence disease development both individually and jointly.

Indexed as

Genetic PleiotropyPolymorphism, Single NucleotideCoronary Artery DiseaseData Interpretation, StatisticalDatasets as TopicDiabetes Mellitus, Type 2Diabetic AngiopathiesEpistasis, GeneticFalse Positive ReactionsGene Regulatory NetworksGenetic LociGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansProtein Interaction MapsConditional FDRCoronary artery diseasePleiotropicT2DType 2 diabetes

Identifiers

PMID30270018
PMCPMC6743331
OpenAlexW2891766039

What OpenQuestion holds

Textmetadata
LicenceTDM
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.