Evidence map›Paper›PMID 29193816›Full record

ArticleObesity (Silver Spring, Md.)2018

Genetic Fine-Mapping and Identification of Candidate Genes and Variants for Adiposity Traits in Outbred Rats.

Gregory R Keele, Jeremy W Prokop, Hong He, Katie Holl, John Littrell, Aaron Deal, Sanja Francic, Leilei Cui, Daniel M Gatti, Karl W Broman and 12 more

Open access · bronzeAbstract read
In one paragraph

Article in Obesity (Silver Spring, Md.), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers.

0numbers the graph read from it
0cells of the map it votes in
52citing papers in PubMed
6.6field-weighted citation impact, top 3% 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

52 citing papers in PubMed, 80 citations in OpenAlex.

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  10. Protein-coding mutation inbioRxiv : the preprint server for biology · 2024
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  18. 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
  19. Article
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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

22 authors at 8 institutions in 2 countries.

Gregory R KeeleDepartment of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
Jeremy W ProkopHudsonAlpha Institute, Huntsville, Alabama, USA.
Hong HeDepartments of Pediatrics and Physiology, Medical College of Wisconsin, Milwaukee, Wisconsin, USA.
Katie HollDepartments of Pediatrics and Physiology, Medical College of Wisconsin, Milwaukee, Wisconsin, USA.
John LittrellDepartments of Pediatrics and Physiology, Medical College of Wisconsin, Milwaukee, Wisconsin, USA.
Aaron DealDepartment of Internal Medicine, School of Medicine, Wake Forest University, Winston Salem, North Carolina, USA.
Sanja FrancicGenetics Institute, University College London, London, UK.
Leilei CuiGenetics Institute, University College London, London, UK.
Daniel M GattiJackson Laboratory, Bar Harbor, Maine, USA.
Karl W BromanDepartment of Biostatistics and Medical Informatics, University of Wisconsin-Madison, Madison, Wisconsin, USA.
Michael TschannenDepartments of Pediatrics and Physiology, Medical College of Wisconsin, Milwaukee, Wisconsin, USA.
Shirng-Wern TsaihDepartments of Pediatrics and Physiology, Medical College of Wisconsin, Milwaukee, Wisconsin, USA.
Maie ZagloulDepartment of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
Yunjung KimDepartment of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
Brittany BaurDepartments of Pediatrics and Physiology, Medical College of Wisconsin, Milwaukee, Wisconsin, USA.
Joseph FoxDepartments of Pediatrics and Physiology, Medical College of Wisconsin, Milwaukee, Wisconsin, USA.
Melanie RobinsonHudsonAlpha Institute, Huntsville, Alabama, USA.
Shawn LevyHudsonAlpha Institute, Huntsville, Alabama, USA.
Michael J FlisterDepartments of Pediatrics and Physiology, Medical College of Wisconsin, Milwaukee, Wisconsin, USA.
Richard MottGenetics Institute, University College London, London, UK.
William ValdarDepartment of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.ORCID 0000-0002-2419-0430
Leah C Solberg WoodsDepartment of Internal Medicine, School of Medicine, Wake Forest University, Winston Salem, North Carolina, USA.ORCID 0000-0002-7943-798X
Medical College of Wisconsin · USUniversity of North Carolina at Chapel Hill · USHudsonAlpha Institute for Biotechnology · USUniversity College London · GBJackson Laboratory · USUniversity of Wisconsin–Madison · USWake Forest University · USWilliams & Associates · US

Funding

Systems Genetic Analysis of Multi-parent CrossesR01GM070683 · NIGMS · JACKSON LABORATORY · PI BROMAN, KARL W, CHURCHILL, GARY A · 2004 to 2022
$6.8M
Leveraging genetic mapping for personalized targeting of breast cancer microenvironmentR01CA193343 · NCI · MEDICAL COLLEGE OF WISCONSIN · PI Amit Joshi · 2015 to 2026
$3.5M
Systems Genetics of Adiposity Traits in Outbred RatsR01DK106386 · NIDDK · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI SOLBERG WOODS, LEAH CATHERINE · 2015 to 2018
$2.6M
UNC Predoc Training Progr in Bioinformatics/Comp BiologyT32GM067553 · NIGMS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI ELSTON, TIMOTHY C · 2005 to 2019
$2.5M
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
Statistical Modeling of Complex Traits in Genetic Reference Super-PopulationsR01GM104125 · NIGMS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI VALDAR, WILLIAM · 2012 to 2016
$1.2M
Using a Sequence-to-Structure-to-Function Approach to Functionally Characterize Protein Coding Missense Mutations in the Human and Rat GenomesK01ES025435 · NIEHS · MICHIGAN STATE UNIVERSITY · PI PROKOP, JEREMY WILLIAM · 2014 to 2018
$489k
NCI NIH HHS R01 CA193343NIDDK NIH HHS R01 DK088975NIDDK NIH HHS R01 DK106386NIEHS NIH HHS K01 ES025435NIGMS NIH HHS R01 GM070683NIGMS NIH HHS R01 GM104125NIGMS NIH HHS T32 GM067553
6 · The paper itself

Abstract

objectiveObesity is a major risk factor for multiple diseases and is in part heritable, yet the majority of causative genetic variants that drive excessive adiposity remain unknown. Here, outbred heterogeneous stock (HS) rats were used in controlled environmental conditions to fine-map novel genetic modifiers of adiposity.

methodsBody weight and visceral fat pad weights were measured in male HS rats that were also genotyped genome-wide. Quantitative trait loci (QTL) were identified by genome-wide association of imputed single-nucleotide polymorphism (SNP) genotypes using a linear mixed effect model that accounts for unequal relatedness between the HS rats. Candidate genes were assessed by protein modeling and mediation analysis of expression for coding and noncoding variants, respectively.

resultsHS rats exhibited large variation in adiposity traits, which were highly heritable and correlated with metabolic health. Fine-mapping of fat pad weight and body weight revealed three QTL and prioritized five candidate genes. Fat pad weight was associated with missense SNPs in Adcy3 and Prlhr and altered expression of Krtcap3 and Slc30a3, whereas Grid2 was identified as a candidate within the body weight locus.

conclusionsThese data demonstrate the power of HS rats for identification of known and novel heritable mediators of obesity traits.

Indexed as

AdiposityAnimalsBody WeightChromosome MappingGenetic VariationGenome-Wide Association StudyGenotypeMaleObesityPhenotypePolymorphism, Single NucleotideRats

Identifiers

PMID29193816
PMCPMC5740008
OpenAlexW2771013630

What OpenQuestion holds

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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.