Evidence map›Paper›PMID 30054458›Full record

SynthesisNature communications2018

Genome-wide association analyses identify 143 risk variants and putative regulatory mechanisms for type 2 diabetes.

Angli Xue, Yang Wu, Zhihong Zhu, Futao Zhang, Kathryn E Kemper, Zhili Zheng, Loic Yengo, Luke R Lloyd-Jones, Julia Sidorenko, Yeda Wu and 5 more

Open access · goldAbstract readMeta-Analysis
In one paragraph

Synthesis in Nature communications, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 522 papers, 11 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
522citing papers in PubMed, 11 pooled it
64.0field-weighted citation impact, top 1% 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

522 citing papers in PubMed, 11 syntheses or guidelines pooled it, 1,009 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Pooled it
  6. Pooled it
  7. Pooled it
  8. Pooled it
  9. Pooled it
  10. Pooled it
  11. Pooled it
  12. Trial
  13. Article
  14. Article
  15. Multi-Omics Genome-Wide to Explore the Formation and Development Targets for Intracranial Aneurysms.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2026
    Article
  16. Genetic evidence and cross-species functional characterization implicateProceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  17. Article
  18. Article
  19. Article
  20. Article

462 more citing papers are in PubMed but not listed here.

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

15 authors at 20 institutions in 12 countries.

Angli XueInstitute for Molecular Bioscience, The University of Queensland, Brisbane, Queensland, 4072, Australia.ORCID http://orcid.org/0000-0002-0285-0426
Yang WuInstitute for Molecular Bioscience, The University of Queensland, Brisbane, Queensland, 4072, Australia.ORCID http://orcid.org/0000-0002-0128-7280
Zhihong ZhuInstitute for Molecular Bioscience, The University of Queensland, Brisbane, Queensland, 4072, Australia.
Futao ZhangInstitute for Molecular Bioscience, The University of Queensland, Brisbane, Queensland, 4072, Australia.
Kathryn E KemperInstitute for Molecular Bioscience, The University of Queensland, Brisbane, Queensland, 4072, Australia.
Zhili ZhengInstitute for Molecular Bioscience, The University of Queensland, Brisbane, Queensland, 4072, Australia.
Loic YengoInstitute for Molecular Bioscience, The University of Queensland, Brisbane, Queensland, 4072, Australia.
Luke R Lloyd-JonesInstitute for Molecular Bioscience, The University of Queensland, Brisbane, Queensland, 4072, Australia.
Julia SidorenkoInstitute for Molecular Bioscience, The University of Queensland, Brisbane, Queensland, 4072, Australia.
Yeda WuInstitute for Molecular Bioscience, The University of Queensland, Brisbane, Queensland, 4072, Australia.
eQTLGen Consortium
Allan F McRaeInstitute for Molecular Bioscience, The University of Queensland, Brisbane, Queensland, 4072, Australia.
Peter M VisscherInstitute for Molecular Bioscience, The University of Queensland, Brisbane, Queensland, 4072, Australia.ORCID http://orcid.org/0000-0002-2143-8760
Jian ZengInstitute for Molecular Bioscience, The University of Queensland, Brisbane, Queensland, 4072, Australia. j.zeng@uq.edu.au.
Jian YangInstitute for Molecular Bioscience, The University of Queensland, Brisbane, Queensland, 4072, Australia. jian.yang@uq.edu.au.ORCID http://orcid.org/0000-0003-2001-2474
The University of Queensland · AUUniversity of Tartu · EELeipzig University · DEUniversity Medical Center Groningen · NLVrije Universiteit Amsterdam · NLOntario Institute for Cancer Research · CAAgency for Science, Technology and Research · SGChicago Department of Public Health · USGeorgia Institute of Technology · USHelmholtz Zentrum München · DEJohns Hopkins University · USTampere University · FIUniversitätsmedizin Greifswald · DEUniversity of Helsinki · FIUniversity of Washington · USErasmus University Rotterdam · NLIFB Adiposity Diseases · DEUniversity of Bristol · GBUniversity of Exeter · GBUniversity of Lausanne · CH

Funding

Statistical Methods for X-Chromosome Genetic DataP01GM099568 · NIGMS · UNIVERSITY OF WASHINGTON · PI WEIR, BRUCE S. · 2012 to 2016
$7.3M
Estimating the genetic and environmental architecture of psychiatric disordersR01MH100141 · NIMH · UNIVERSITY OF COLORADO · PI KELLER, MATTHEW CHARLES · 2013 to 2022
$5.3M
Theoretical Population Genetics SupplementR01GM075091 · NIGMS · UNIVERSITY OF WASHINGTON · PI WEIR, BRUCE S. · 2006 to 2020
$4.7M
Genome-Wide Analyses of Health and Well-Being PhenotypesR01AG042568 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI BENJAMIN, DANIEL J · 2015 to 2021
$2.8M
Increasing the power of GxE detection by using multi-locus genome-wide predictorsR21ES025052 · NIEHS · HARVARD MEDICAL SCHOOL · PI PATEL, CHIRAG J. · 2015 to 2017
$434k
NIA NIH HHS R01 AG042568NIEHS NIH HHS R21 ES025052NIGMS NIH HHS P01 GM099568NIGMS NIH HHS R01 GM075091NIMH NIH HHS R01 MH100141Wellcome Trust 208806/Z/17/Z
6 · The paper itself

Abstract

Type 2 diabetes (T2D) is a very common disease in humans. Here we conduct a meta-analysis of genome-wide association studies (GWAS) with ~16 million genetic variants in 62,892 T2D cases and 596,424 controls of European ancestry. We identify 139 common and 4 rare variants associated with T2D, 42 of which (39 common and 3 rare variants) are independent of the known variants. Integration of the gene expression data from blood (n = 14,115 and 2765) with the GWAS results identifies 33 putative functional genes for T2D, 3 of which were targeted by approved drugs. A further integration of DNA methylation (n = 1980) and epigenomic annotation data highlight 3 genes (CAMK1D, TP53INP1, and ATP5G1) with plausible regulatory mechanisms, whereby a genetic variant exerts an effect on T2D through epigenetic regulation of gene expression. Our study uncovers additional loci, proposes putative genetic regulatory mechanisms for T2D, and provides evidence of purifying selection for T2D-associated variants.

Indexed as

Genetic Predisposition to DiseaseGenetic VariationCalcium-Calmodulin-Dependent Protein Kinase Type 1Carrier ProteinsDiabetes Mellitus, Type 2DNA MethylationEpigenesis, GeneticEpigenomicsGene Expression RegulationGenome-Wide Association StudyGenotypeHeat-Shock ProteinsHumansMitochondrial Proton-Translocating ATPasesRiskWhite PeopleCalcium-Calmodulin-Dependent Protein Kinase Type 1CAMK1D protein, humanCarrier ProteinsHeat-Shock ProteinsMitochondrial Proton-Translocating ATPasesTP53INP1 protein, human

Identifiers

PMID30054458
PMCPMC6063971
OpenAlexW2883622734

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.