Evidence map›Paper›PMID 25201977›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2014

Global genomic and transcriptomic analysis of human pancreatic islets reveals novel genes influencing glucose metabolism.

João Fadista, Petter Vikman, Emilia Ottosson Laakso, Inês Guerra Mollet, Jonathan Lou Esguerra, Jalal Taneera, Petter Storm, Peter Osmark, Claes Ladenvall, Rashmi B Prasad and 13 more

Open access · bronzeAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 283 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
283citing papers in PubMed, 5 pooled it
37.0field-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

283 citing papers in PubMed, 5 syntheses or guidelines pooled it, 534 citations in OpenAlex.

  1. Pooled it
  2. TMED family genes and their roles in human diseases.International journal of medical sciences · 2023
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  14. Nr4a1 β-cell specific deletion impairs glucose tolerance in female mice.American journal of physiology. Endocrinology and metabolism · 2026
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223 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

23 authors at 3 institutions in 3 countries.

João FadistaLund University Diabetes Centre, Department of Clinical Sciences, Skåne University Hospital Malmö, Lund University, 20502 Malmö, Sweden; joao.fadista@med.lu.se Leif.Groop@med.lu.se.
Petter VikmanLund University Diabetes Centre, Department of Clinical Sciences, Skåne University Hospital Malmö, Lund University, 20502 Malmö, Sweden;
Emilia Ottosson LaaksoLund University Diabetes Centre, Department of Clinical Sciences, Skåne University Hospital Malmö, Lund University, 20502 Malmö, Sweden;
Inês Guerra MolletLund University Diabetes Centre, Department of Clinical Sciences, Skåne University Hospital Malmö, Lund University, 20502 Malmö, Sweden;
Jonathan Lou EsguerraLund University Diabetes Centre, Department of Clinical Sciences, Skåne University Hospital Malmö, Lund University, 20502 Malmö, Sweden;
Jalal TaneeraLund University Diabetes Centre, Department of Clinical Sciences, Skåne University Hospital Malmö, Lund University, 20502 Malmö, Sweden;
Petter StormLund University Diabetes Centre, Department of Clinical Sciences, Skåne University Hospital Malmö, Lund University, 20502 Malmö, Sweden;
Peter OsmarkLund University Diabetes Centre, Department of Clinical Sciences, Skåne University Hospital Malmö, Lund University, 20502 Malmö, Sweden;
Claes LadenvallLund University Diabetes Centre, Department of Clinical Sciences, Skåne University Hospital Malmö, Lund University, 20502 Malmö, Sweden;
Rashmi B PrasadLund University Diabetes Centre, Department of Clinical Sciences, Skåne University Hospital Malmö, Lund University, 20502 Malmö, Sweden;
Karin B HanssonLund University Diabetes Centre, Department of Clinical Sciences, Skåne University Hospital Malmö, Lund University, 20502 Malmö, Sweden;
Francesca FinotelloDepartment of Information Engineering, University of Padova, 35131 Padova, Italy; and.
Kristina UvebrantLund University Diabetes Centre, Department of Clinical Sciences, Skåne University Hospital Malmö, Lund University, 20502 Malmö, Sweden;
Jones K OforiLund University Diabetes Centre, Department of Clinical Sciences, Skåne University Hospital Malmö, Lund University, 20502 Malmö, Sweden;
Barbara Di CamilloDepartment of Information Engineering, University of Padova, 35131 Padova, Italy; and.
Ulrika KrusLund University Diabetes Centre, Department of Clinical Sciences, Skåne University Hospital Malmö, Lund University, 20502 Malmö, Sweden;
Corrado M CilioLund University Diabetes Centre, Department of Clinical Sciences, Skåne University Hospital Malmö, Lund University, 20502 Malmö, Sweden;
Ola HanssonLund University Diabetes Centre, Department of Clinical Sciences, Skåne University Hospital Malmö, Lund University, 20502 Malmö, Sweden;
Lena EliassonLund University Diabetes Centre, Department of Clinical Sciences, Skåne University Hospital Malmö, Lund University, 20502 Malmö, Sweden;
Anders H RosengrenLund University Diabetes Centre, Department of Clinical Sciences, Skåne University Hospital Malmö, Lund University, 20502 Malmö, Sweden;
Erik RenströmLund University Diabetes Centre, Department of Clinical Sciences, Skåne University Hospital Malmö, Lund University, 20502 Malmö, Sweden;
Claes B WollheimLund University Diabetes Centre, Department of Clinical Sciences, Skåne University Hospital Malmö, Lund University, 20502 Malmö, Sweden; Department of Cell Physiology and Metabolism, University of Geneva, 1211 Geneva 4, Switzerland.
Leif GroopLund University Diabetes Centre, Department of Clinical Sciences, Skåne University Hospital Malmö, Lund University, 20502 Malmö, Sweden; joao.fadista@med.lu.se Leif.Groop@med.lu.se.
Skåne University Hospital · SELund University · SEUniversity of Padua · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genetic variation can modulate gene expression, and thereby phenotypic variation and susceptibility to complex diseases such as type 2 diabetes (T2D). Here we harnessed the potential of DNA and RNA sequencing in human pancreatic islets from 89 deceased donors to identify genes of potential importance in the pathogenesis of T2D. We present a catalog of genetic variants regulating gene expression (eQTL) and exon use (sQTL), including many long noncoding RNAs, which are enriched in known T2D-associated loci. Of 35 eQTL genes, whose expression differed between normoglycemic and hyperglycemic individuals, siRNA of tetraspanin 33 (TSPAN33), 5'-nucleotidase, ecto (NT5E), transmembrane emp24 protein transport domain containing 6 (TMED6), and p21 protein activated kinase 7 (PAK7) in INS1 cells resulted in reduced glucose-stimulated insulin secretion. In addition, we provide a genome-wide catalog of allelic expression imbalance, which is also enriched in known T2D-associated loci. Notably, allelic imbalance in paternally expressed gene 3 (PEG3) was associated with its promoter methylation and T2D status. Finally, RNA editing events were less common in islets than previously suggested in other tissues. Taken together, this study provides new insights into the complexity of gene regulation in human pancreatic islets and better understanding of how genetic variation can influence glucose metabolism.

Indexed as

GenomicsGlucose5'-NucleotidaseCell LineDiabetes Mellitus, Type 2FemaleGPI-Linked ProteinsHumansIslets of LangerhansMalep21-Activated KinasesRNA EditingRNA, Long NoncodingTetraspaninsTranscriptomeVesicular Transport Proteins5'-NucleotidaseGlucoseGPI-Linked ProteinsNT5E protein, humanp21-Activated KinasesPAK5 protein, humanRNA, Long NoncodingTetraspaninsTSPAN33 protein, humanVesicular Transport Proteins

Identifiers

PMID25201977
PMCPMC4183326
OpenAlexW2016895073

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.