Evidence map›Paper›PMID 25236446›Full record

ArticleGenetics2014

Identification of a novel gene for diabetic traits in rats, mice, and humans.

Shirng-Wern Tsaih, Katie Holl, Shuang Jia, Mary Kaldunski, Michael Tschannen, Hong He, Jaime Wendt Andrae, Shun-Hua Li, Alex Stoddard, Andrew Wiederhold and 10 more

Open access · bronzeAbstract read
In one paragraph

Article in Genetics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed
5.3field-weighted citation impact, top 4% 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

33 citing papers in PubMed, 51 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Article
  6. Genetic background in the rat affects endocrine and metabolic outcomes of bisphenol F exposure.Toxicological sciences : an official journal of the Society of Toxicology · 2023
    Article
  7. NAADP-Mediated CaHandbook of experimental pharmacology · 2023
    Article
  8. Article
  9. Article
  10. Article
  11. Bisphenol F Exposure in Adolescent Heterogeneous Stock Rats Affects Growth and Adiposity.Toxicological sciences : an official journal of the Society of Toxicology · 2021
    Article
  12. Article
  13. Article
  14. Review
  15. Using Heterogeneous Stocks for Fine-Mapping Genetically Complex Traits.Methods in molecular biology (Clifton, N.J.) · 2019
    Review
  16. Article
  17. Two-pore channels and disease.Biochimica et biophysica acta. Molecular cell research · 2018
    Review
  18. Article
  19. Article
  20. Review
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

20 authors at 3 institutions in 2 countries.

Shirng-Wern TsaihHuman and Molecular Genetics Center, Medical College of Wisconsin, Milwaukee, Wisconsin 53226.
Katie HollHuman and Molecular Genetics Center, Medical College of Wisconsin, Milwaukee, Wisconsin 53226 Department of Pediatrics, Medical College of Wisconsin, Milwaukee, Wisconsin 53226.
Shuang JiaHuman and Molecular Genetics Center, Medical College of Wisconsin, Milwaukee, Wisconsin 53226 Department of Pediatrics, Medical College of Wisconsin, Milwaukee, Wisconsin 53226.
Mary KaldunskiHuman and Molecular Genetics Center, Medical College of Wisconsin, Milwaukee, Wisconsin 53226 Department of Pediatrics, Medical College of Wisconsin, Milwaukee, Wisconsin 53226.
Michael TschannenHuman and Molecular Genetics Center, Medical College of Wisconsin, Milwaukee, Wisconsin 53226.
Hong HeHuman and Molecular Genetics Center, Medical College of Wisconsin, Milwaukee, Wisconsin 53226 Department of Pediatrics, Medical College of Wisconsin, Milwaukee, Wisconsin 53226.
Jaime Wendt AndraeHuman and Molecular Genetics Center, Medical College of Wisconsin, Milwaukee, Wisconsin 53226.
Shun-Hua LiDepartment of Pediatrics, Medical College of Wisconsin, Milwaukee, Wisconsin 53226.
Alex StoddardHuman and Molecular Genetics Center, Medical College of Wisconsin, Milwaukee, Wisconsin 53226 Department of Pediatrics, Medical College of Wisconsin, Milwaukee, Wisconsin 53226.
Andrew WiederholdDepartment of Pediatrics, Medical College of Wisconsin, Milwaukee, Wisconsin 53226.
John ParringtonDepartment of Pharmacology, University of Oxford, Oxford, OX1 3QT, United Kingdom.
Margarida Ruas da SilvaDepartment of Pharmacology, University of Oxford, Oxford, OX1 3QT, United Kingdom.
Antony GalioneDepartment of Pharmacology, University of Oxford, Oxford, OX1 3QT, United Kingdom.
James MeigsDepartment of Medicine, Harvard Medical School, General Medicine Division, Massachusetts General Hospital, Boston, Massachusetts 02114.
Meta-Analyses of Glucose and Insulin-Related Traits Consortium (MAGIC) Investigators
Raymond G HoffmannHuman and Molecular Genetics Center, Medical College of Wisconsin, Milwaukee, Wisconsin 53226 Department of Pediatrics, Medical College of Wisconsin, Milwaukee, Wisconsin 53226.
Pippa SimpsonHuman and Molecular Genetics Center, Medical College of Wisconsin, Milwaukee, Wisconsin 53226 Department of Pediatrics, Medical College of Wisconsin, Milwaukee, Wisconsin 53226.
Howard JacobHuman and Molecular Genetics Center, Medical College of Wisconsin, Milwaukee, Wisconsin 53226 Department of Pediatrics, Medical College of Wisconsin, Milwaukee, Wisconsin 53226.
Martin HessnerHuman and Molecular Genetics Center, Medical College of Wisconsin, Milwaukee, Wisconsin 53226 Department of Pediatrics, Medical College of Wisconsin, Milwaukee, Wisconsin 53226.
Leah C Solberg WoodsHuman and Molecular Genetics Center, Medical College of Wisconsin, Milwaukee, Wisconsin 53226 Department of Pediatrics, Medical College of Wisconsin, Milwaukee, Wisconsin 53226 lsolberg@mcw.edu.
Medical College of Wisconsin · USUniversity of Oxford · GBHarvard University · US

Funding

Common Genetic Variation and Quantitative Diabetes TraitsR01DK078616 · NIDDK · MASSACHUSETTS GENERAL HOSPITAL · PI MEIGS, JAMES B · 2008 to 2014
$5.0M
Rare Sequence Variation and Diabetes Quantitative TraitsU01DK078616 · NIDDK · MASSACHUSETTS GENERAL HOSPITAL · PI MEIGS, JAMES B · 2015 to 2019
$3.6M
Epidemiology of Precursors to Type 2 DiabetesK24DK080140 · NIDDK · MASSACHUSETTS GENERAL HOSPITAL · PI MEIGS, JAMES B · 2007 to 2016
$1.9M
Genome-wide fine-mapping of metabolic traits in heterogeneous stock ratsR01DK088975 · NIDDK · MEDICAL COLLEGE OF WISCONSIN · PI SOLBERG WOODS, LEAH CATHERINE · 2010 to 2014
$1.9M
Medical Research Council G0901521NIDDK NIH HHS K24 DK080140NIDDK NIH HHS R01 DK078616NIDDK NIH HHS R01 DK-088975NIDDK NIH HHS R01 DK088975NIDDK NIH HHS U01 DK078616Wellcome Trust 102828
6 · The paper itself

Abstract

The genetic basis of type 2 diabetes remains incompletely defined despite the use of multiple genetic strategies. Multiparental populations such as heterogeneous stocks (HS) facilitate gene discovery by allowing fine mapping to only a few megabases, significantly decreasing the number of potential candidate genes compared to traditional mapping strategies. In the present work, we employed expression and sequence analysis in HS rats (Rattus norvegicus) to identify Tpcn2 as a likely causal gene underlying a 3.1-Mb locus for glucose and insulin levels. Global gene expression analysis on liver identified Tpcn2 as the only gene in the region that is differentially expressed between HS rats with glucose intolerance and those with normal glucose regulation. Tpcn2 also maps as a cis-regulating expression QTL and is negatively correlated with fasting glucose levels. We used founder sequence to identify variants within this region and assessed association between 18 variants and diabetic traits by conducting a mixed-model analysis, accounting for the complex family structure of the HS. We found that two variants were significantly associated with fasting glucose levels, including a nonsynonymous coding variant within Tpcn2. Studies in Tpcn2 knockout mice demonstrated a significant decrease in fasting glucose levels and insulin response to a glucose challenge relative to those in wild-type mice. Finally, we identified variants within Tpcn2 that are associated with fasting insulin in humans. These studies indicate that Tpcn2 is a likely causal gene that may play a role in human diabetes and demonstrate the utility of multiparental populations for positionally cloning genes within complex loci.

Indexed as

AnimalsBlood GlucoseCalcium ChannelsDiabetes Mellitus, Type 2FemaleGenome, HumanHumansInsulinMaleMiceMice, Inbred C57BLPolymorphism, Single NucleotideQuantitative Trait LociRatsRats, Inbred StrainsBlood GlucoseCalcium ChannelsInsulinTPCN2 protein, humanTPCN2 protein, mouseexpression QTL mappingglucoseheterogeneous stock ratsinsulinMPPMultiparent Advanced Generation Inter-Cross (MAGIC)Multiparental populationsTpcn2type 2 diabetes

Identifiers

PMID25236446
PMCPMC4174929
OpenAlexW2169388487

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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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.