Evidence map›Paper›PMID 27353450›Full record

ArticleNature communications2016

The genetic regulatory signature of type 2 diabetes in human skeletal muscle.

Laura J Scott, Michael R Erdos, Jeroen R Huyghe, Ryan P Welch, Andrew T Beck, Brooke N Wolford, Peter S Chines, John P Didion, Narisu Narisu, Heather M Stringham and 22 more

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 94 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
94citing papers in PubMed, 5 pooled it
10.4field-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

94 citing papers in PubMed, 5 syntheses or guidelines pooled it, 148 citations in OpenAlex.

  1. Pooled it
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  9. Genome writing and Targeted Delivery of thebioRxiv : the preprint server for biology · 2026
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34 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

32 authors at 11 institutions in 4 countries.

Laura J ScottDepartment of Biostatistics and Center for Statistical Genetics, University of Michigan, Ann Arbor, Michigan 48109, USA.
Michael R ErdosNational Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland 20892, USA.
Jeroen R HuygheDepartment of Biostatistics and Center for Statistical Genetics, University of Michigan, Ann Arbor, Michigan 48109, USA.
Ryan P WelchDepartment of Biostatistics and Center for Statistical Genetics, University of Michigan, Ann Arbor, Michigan 48109, USA.
Andrew T BeckDepartment of Biostatistics and Center for Statistical Genetics, University of Michigan, Ann Arbor, Michigan 48109, USA.
Brooke N WolfordNational Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland 20892, USA.
Peter S ChinesNational Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland 20892, USA.
John P DidionNational Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland 20892, USA.
Narisu NarisuNational Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland 20892, USA.
Heather M StringhamDepartment of Biostatistics and Center for Statistical Genetics, University of Michigan, Ann Arbor, Michigan 48109, USA.
D Leland TaylorNational Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland 20892, USA.
Anne U JacksonDepartment of Biostatistics and Center for Statistical Genetics, University of Michigan, Ann Arbor, Michigan 48109, USA.
Swarooparani VadlamudiDepartment of Genetics, University of North Carolina, Chapel Hill, North Carolina 27599, USA.
Lori L BonnycastleNational Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland 20892, USA.
Leena KinnunenDepartment of Health, National Institute for Health and Welfare, P.O. Box 30, Helsinki FI-00271, Finland.
Jouko SaramiesSouth Karelia Central Hospital, Lappeenranta 53130, Finland.
Jouko SundvallDepartment of Health, National Institute for Health and Welfare, P.O. Box 30, Helsinki FI-00271, Finland.
Ricardo D'Oliveira AlbanusDepartment of Computational Medicine &Bioinformatics, University of Michigan, Ann Arbor, Michigan 48109, USA.
Anna KiselevaDepartment of Computational Medicine &Bioinformatics, University of Michigan, Ann Arbor, Michigan 48109, USA.
John HensleyDepartment of Computational Medicine &Bioinformatics, University of Michigan, Ann Arbor, Michigan 48109, USA.
Gregory E CrawfordCenter for Genomic &Computational Biology, Duke University, Durham, North Carolina 27708, USA.
Hui JiangDepartment of Biostatistics and Center for Statistical Genetics, University of Michigan, Ann Arbor, Michigan 48109, USA.
Xiaoquan WenDepartment of Biostatistics and Center for Statistical Genetics, University of Michigan, Ann Arbor, Michigan 48109, USA.
Richard M WatanabeDepartment of Preventive Medicine, Keck School of Medicine of USC, Los Angeles, California 90089, USA.
Timo A LakkaInstitute of Biomedicine/Physiology, University of Eastern Finland, Kuopio FI-00100, Finland.
Karen L MohlkeDepartment of Genetics, University of North Carolina, Chapel Hill, North Carolina 27599, USA.
Markku LaaksoDepartment of Medicine, University of Eastern Finland, Kuopio FI-00100, Finland.
Jaakko TuomilehtoChronic Disease Prevention Unit, National Institute for Health and Welfare, P.O. Box 30, Helsinki FI-00271, Finland.
Heikki A KoistinenDepartment of Health, National Institute for Health and Welfare, P.O. Box 30, Helsinki FI-00271, Finland.
Michael BoehnkeDepartment of Biostatistics and Center for Statistical Genetics, University of Michigan, Ann Arbor, Michigan 48109, USA.
Francis S CollinsNational Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland 20892, USA.
Stephen C J ParkerDepartment of Computational Medicine &Bioinformatics, University of Michigan, Ann Arbor, Michigan 48109, USA.
University of Michigan–Ann Arbor · USNational Institutes of Health · USFinnish Institute for Health and Welfare · FINational Human Genome Research Institute · USUniversity of North Carolina at Chapel Hill · USDasman Diabetes Institute · KWDuke University · USKeck Hospital of USC · USKuopio University Hospital · FISouth Karelia Central Hospital · FIUniversity of Eastern Finland · FI

Funding

Genetic analysis of type II diabetes in Finnish populationZIAHG000024 · NHGRI · NATIONAL HUMAN GENOME RESEARCH INSTITUTE · PI ERDOS, MICHAEL · 2009 to 2025
$38.2M
Regional Pilot And Feasibility Study Grants ProgramP30DK020572 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Mehboob A Hussain · 2013 to 2026
$24.3M
University of Michigan Training Program in Genomic ScienceT32HG000040 · NHGRI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Sebastian Zoellner · 1995 to 2026
$16.4M
Identifying Genes for Type 2 Diabetes: FUSIONU01DK062370 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI BOEHNKE, MICHAEL L, SCOTT, LAURA J. · 2009 to 2021
$11.6M
Targeted Genetic Analysis of T2D and Quantitative TraitsR01DK072193 · NIDDK · UNIV OF NORTH CAROLINA CHAPEL HILL · PI KAREN L. MOHLKE · 2005 to 2026
$11.3M
Genetic epidemiology of rare and regulatory variants for metabolic traitsR01DK093757 · NIDDK · UNIV OF NORTH CAROLINA CHAPEL HILL · PI KAREN L. MOHLKE · 2011 to 2026
$8.2M
GENETIC ANALYSIS OF TYPE II DIABETES IN FINNISH POPULATIONZ01HG000024 · NHGRI · NATIONAL HUMAN GENOME RESEARCH INSTITUTE · PI COLLINS, FRANCIS S. · 1995 to 2008
$6.2M
Genetic Architecture of Adiposity in Multiple Large CohortsR01DK089256 · NIDDK · WASHINGTON UNIVERSITY · PI BARANSKI, THOMAS JOHN, LIU, CHING-TI · 2010 to 2016
$4.6M
Functional genetic variants for type 2 diabetesU01DK105561 · NIDDK · UNIV OF NORTH CAROLINA CHAPEL HILL · PI MOHLKE, KAREN L. · 2015 to 2019
$2.3M
Synthesizing genome, epigenome, and transcriptome datasets in type 2 diabetes.R00DK099240 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI PARKER, STEPHEN CJ · 2015 to 2017
$726k
Intramural NIH HHS Z01 HG000024Intramural NIH HHS ZIA HG000024NHGRI NIH HHS T32 HG000040NIDDK NIH HHS P30 DK020572NIDDK NIH HHS R00 DK099240NIDDK NIH HHS R01 DK072193NIDDK NIH HHS R01 DK089256NIDDK NIH HHS R01 DK093757NIDDK NIH HHS U01 DK062370NIDDK NIH HHS U01 DK105561
6 · The paper itself

Abstract

Type 2 diabetes (T2D) results from the combined effects of genetic and environmental factors on multiple tissues over time. Of the >100 variants associated with T2D and related traits in genome-wide association studies (GWAS), >90% occur in non-coding regions, suggesting a strong regulatory component to T2D risk. Here to understand how T2D status, metabolic traits and genetic variation influence gene expression, we analyse skeletal muscle biopsies from 271 well-phenotyped Finnish participants with glucose tolerance ranging from normal to newly diagnosed T2D. We perform high-depth strand-specific mRNA-sequencing and dense genotyping. Computational integration of these data with epigenome data, including ATAC-seq on skeletal muscle, and transcriptome data across diverse tissues reveals that the tissue-specific genetic regulatory architecture of skeletal muscle is highly enriched in muscle stretch/super enhancers, including some that overlap T2D GWAS variants. In one such example, T2D risk alleles residing in a muscle stretch/super enhancer are linked to increased expression and alternative splicing of muscle-specific isoforms of ANK1.

Indexed as

Genome-Wide Association StudyAllelesDiabetes Mellitus, Type 2EpigenomicsFemaleGene Expression RegulationGenetic Predisposition to DiseaseHumansMaleMuscle, SkeletalPolymorphism, Single NucleotideRNA, MessengerSequence Analysis, RNARNA, Messenger

Identifiers

PMID27353450
PMCPMC4931250
OpenAlexW2460226238

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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.