Evidence map›Paper›PMID 26140591›Full record

ArticleCell2015

Genetic Variation Determines PPARγ Function and Anti-diabetic Drug Response In Vivo.

Raymond E Soccio, Eric R Chen, Satyajit R Rajapurkar, Pegah Safabakhsh, Jill M Marinis, Joanna R Dispirito, Matthew J Emmett, Erika R Briggs, Bin Fang, Logan J Everett and 7 more

Open access · bronzeAbstract read
In one paragraph

Article in Cell, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 90 papers.

0numbers the graph read from it
0cells of the map it votes in
90citing papers in PubMed
8.9field-weighted citation impact, top 2% 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

90 citing papers in PubMed, 123 citations in OpenAlex.

  1. Article
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  14. Transcriptional control of energy metabolism by nuclear receptors.Nature reviews. Molecular cell biology · 2022
    Review
  15. NFIA determines theiScience · 2022
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  16. Review
  17. Article
  18. Article
  19. Article
  20. Article

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

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

17 authors at 4 institutions in 1 country.

Raymond E SoccioDepartment of Medicine, Division of Endocrinology, Diabetes, and Metabolism, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA 19104, USA; Institute for Diabetes, Obesity, and Metabolism, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA 19104, USA.
Eric R ChenDepartment of Medicine, Division of Endocrinology, Diabetes, and Metabolism, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA 19104, USA; Institute for Diabetes, Obesity, and Metabolism, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA 19104, USA.
Satyajit R RajapurkarDepartment of Medicine, Division of Endocrinology, Diabetes, and Metabolism, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA 19104, USA; Institute for Diabetes, Obesity, and Metabolism, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA 19104, USA.
Pegah SafabakhshDepartment of Medicine, Division of Endocrinology, Diabetes, and Metabolism, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA 19104, USA; Institute for Diabetes, Obesity, and Metabolism, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA 19104, USA.
Jill M MarinisDepartment of Medicine, Division of Endocrinology, Diabetes, and Metabolism, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA 19104, USA; Institute for Diabetes, Obesity, and Metabolism, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA 19104, USA.
Joanna R DispiritoDepartment of Medicine, Division of Endocrinology, Diabetes, and Metabolism, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA 19104, USA; Institute for Diabetes, Obesity, and Metabolism, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA 19104, USA.
Matthew J EmmettDepartment of Medicine, Division of Endocrinology, Diabetes, and Metabolism, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA 19104, USA; Institute for Diabetes, Obesity, and Metabolism, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA 19104, USA.
Erika R BriggsDepartment of Medicine, Division of Endocrinology, Diabetes, and Metabolism, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA 19104, USA; Institute for Diabetes, Obesity, and Metabolism, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA 19104, USA.
Bin FangDepartment of Medicine, Division of Endocrinology, Diabetes, and Metabolism, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA 19104, USA; Institute for Diabetes, Obesity, and Metabolism, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA 19104, USA.
Logan J EverettDepartment of Medicine, Division of Endocrinology, Diabetes, and Metabolism, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA 19104, USA; Institute for Diabetes, Obesity, and Metabolism, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA 19104, USA.
Hee-Woong LimInstitute for Diabetes, Obesity, and Metabolism, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA 19104, USA; Department of Genetics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA 19104, USA.
Kyoung-Jae WonInstitute for Diabetes, Obesity, and Metabolism, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA 19104, USA; Department of Genetics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA 19104, USA.
David J StegerDepartment of Medicine, Division of Endocrinology, Diabetes, and Metabolism, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA 19104, USA; Institute for Diabetes, Obesity, and Metabolism, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA 19104, USA.
Ying WuDepartment of Genetics, University of North Carolina, Chapel Hill, NC 27599, USA.
Mete CivelekDepartment of Medicine, Division of Cardiology, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA 90095, USA.
Benjamin F VoightDepartment of Genetics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA 19104, USA; Department of Systems Pharmacology and Translational Therapeutics and Institute for Translational Medicine and Therapeutics, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA 19104, USA.
Mitchell A LazarDepartment of Medicine, Division of Endocrinology, Diabetes, and Metabolism, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA 19104, USA; Institute for Diabetes, Obesity, and Metabolism, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA 19104, USA. Electronic address: lazar@mail.med.upenn.edu.
University of Pennsylvania · USTranslational Therapeutics (United States) · USUniversity of California, Los Angeles · USUniversity of North Carolina at Chapel Hill · US

Funding

Systems genomics of metabolic syndrome traitsP01HL028481 · NHLBI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI REUE, KAREN · 1985 to 2019
$50.2M
VIRAL VECTOR COREP30DK019525 · NIDDK · UNIVERSITY OF PENNSYLVANIA · PI MITCHELL A. LAZAR · 1986 to 2026
$48.3M
ZINC FINGER PROTEINS IN EARLY KIDNEY DEVELOPMENTP01DK049210 · NIDDK · UNIVERSITY OF PENNSYLVANIA · PI AHIMA, REXFORD S. · 1995 to 2016
$26.9M
Nuclear Receptors in Metabolic TissuesR01DK049780 · NIDDK · UNIVERSITY OF PENNSYLVANIA · PI LAZAR, MITCHELL A. · 1995 to 2025
$10.8M
Diabetes, Endocrine, and MetabolismT32DK007314 · NIDDK · UNIVERSITY OF PENNSYLVANIA · PI DORIS A STOFFERS, Patrick Seale · 1986 to 2026
$9.0M
Algorithms to identify non-coding mutational burden and disease-relevant pathwaysR01DK101478 · NIDDK · UNIVERSITY OF PENNSYLVANIA · PI VOIGHT, BENJAMIN FRANKLIN · 2014 to 2018
$2.9M
Transcriptional and epigenomic control of adipose tissue development and functionR01DK098542 · NIDDK · UNIVERSITY OF PENNSYLVANIA · PI STEGER, DAVID J. · 2013 to 2017
$1.7M
Translating human PPARy binding regions to gene regulation and metabolic diseaseK08DK094968 · NIDDK · UNIVERSITY OF PENNSYLVANIA · PI SOCCIO, RAYMOND EDWARD · 2012 to 2016
$775k
Systems genetics analysis of cardiometabolic trait loci in humans R00HL121172 · NHLBI · UNIVERSITY OF VIRGINIA · PI CIVELEK, METE · 2016 to 2018
$741k
An Integrative Approach to Construct a Regulatory Network Effected by TDZsR21DK098769 · NIDDK · UNIVERSITY OF PENNSYLVANIA · PI WON, KYOUNG JAE · 2013 to 2014
$440k
Systems genetics analysis of cardiometabolic trait loci in humans K99HL121172 · NHLBI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI CIVELEK, METE · 2014 to 2015
$247k
Control of Brown Adipose Physiology Via Genomic Recruitment of Histone Deacetylase 3F30DK104513 · NIDDK · UNIVERSITY OF PENNSYLVANIA · PI EMMETT, MATTHEW J · 2014 to 2016
$106k
NHLBI NIH HHS K99 HL121172NHLBI NIH HHS K99-HL121172NHLBI NIH HHS P01 HL028481NHLBI NIH HHS P01-HL028481NHLBI NIH HHS R00 HL121172NIDDK NIH HHS F30 DK104513NIDDK NIH HHS K08 DK094968NIDDK NIH HHS K08-DK094968NIDDK NIH HHS P01 DK049210NIDDK NIH HHS P30 DK019525NIDDK NIH HHS P30-DK19525NIDDK NIH HHS R01 DK049780NIDDK NIH HHS R01 DK098542NIDDK NIH HHS R01 DK101478NIDDK NIH HHS R01-DK101478NIDDK NIH HHS R01-DK49780NIDDK NIH HHS R21 DK098769NIDDK NIH HHS R21-DK098769NIDDK NIH HHS T32 DK007314
6 · The paper itself

Abstract

SNPs affecting disease risk often reside in non-coding genomic regions. Here, we show that SNPs are highly enriched at mouse strain-selective adipose tissue binding sites for PPARγ, a nuclear receptor for anti-diabetic drugs. Many such SNPs alter binding motifs for PPARγ or cooperating factors and functionally regulate nearby genes whose expression is strain selective and imbalanced in heterozygous F1 mice. Moreover, genetically determined binding of PPARγ accounts for mouse strain-specific transcriptional effects of TZD drugs, providing proof of concept for personalized medicine related to nuclear receptor genomic occupancy. In human fat, motif-altering SNPs cause differential PPARγ binding, provide a molecular mechanism for some expression quantitative trait loci, and are risk factors for dysmetabolic traits in genome-wide association studies. One PPARγ motif-altering SNP is associated with HDL levels and other metabolic syndrome parameters. Thus, natural genetic variation in PPARγ genomic occupancy determines individual disease risk and drug response.

Indexed as

Polymorphism, Single NucleotideAdipose TissueAnimalsGene ExpressionHumansHypoglycemic AgentsMiceMice, 129 StrainMice, Inbred C57BLPPAR gammaTranscription FactorsHypoglycemic AgentsPPAR gammaTranscription Factors

Identifiers

PMID26140591
PMCPMC4493773
OpenAlexW1511590367

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.