Evidence map›Paper›PMID 36219827›Full record

ArticleDiabetes2023

Genetic Mapping of Multiple Traits Identifies Novel Genes for Adiposity, Lipids, and Insulin Secretory Capacity in Outbred Rats.

Thu Hong-Le, Wesley L Crouse, Gregory R Keele, Katie Holl, Osborne Seshie, Michael Tschannen, Ann Craddock, Swapan K Das, Alexandria M Szalanczy, Bailey McDonald and 9 more

Open access · greenAbstract read
In one paragraph

Article in Diabetes, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
2.8field-weighted citation impact, top 9% 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

15 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. GRK5 is required for adipocyte differentiation through ERK activation.International journal of obesity (2005) · 2025
    Article
  7. Article
  8. Article
  9. Protein-coding mutation inbioRxiv : the preprint server for biology · 2024
    Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. 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
  15. Article
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

19 authors at 5 institutions in 2 countries.

Thu Hong-LeGenetics Institute, University College London, London, U.K.ORCID 0000-0001-5228-9561
Wesley L CrouseDepartment of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC.
Gregory R KeeleThe Jackson Laboratory, Bar Harbor, ME.
Katie HollMedical College of Wisconsin, Milwaukee, WI.
Osborne SeshieDepartment of Internal Medicine, Wake Forest University School of Medicine, Winston-Salem, NC.
Michael TschannenMedical College of Wisconsin, Milwaukee, WI.
Ann CraddockDepartment of Biochemistry, Wake Forest University School of Medicine, Winston-Salem, NC.
Swapan K DasDepartment of Internal Medicine, Wake Forest University School of Medicine, Winston-Salem, NC.ORCID 0000-0002-2197-8855
Alexandria M SzalanczyDepartment of Internal Medicine, Wake Forest University School of Medicine, Winston-Salem, NC.
Bailey McDonaldDepartment of Internal Medicine, Wake Forest University School of Medicine, Winston-Salem, NC.
Michael GrzybowskiMedical College of Wisconsin, Milwaukee, WI.
Jason KlotzMedical College of Wisconsin, Milwaukee, WI.
Neeraj K SharmaDepartment of Internal Medicine, Wake Forest University School of Medicine, Winston-Salem, NC.
Aron M GeurtsMedical College of Wisconsin, Milwaukee, WI.
Chia-Chi Chuang KeyDepartment of Internal Medicine, Wake Forest University School of Medicine, Winston-Salem, NC.
Gregory HawkinsDepartment of Biochemistry, Wake Forest University School of Medicine, Winston-Salem, NC.
William ValdarDepartment of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC.
Richard MottGenetics Institute, University College London, London, U.K.
Leah C Solberg WoodsDepartment of Internal Medicine, Wake Forest University School of Medicine, Winston-Salem, NC.ORCID 0000-0002-7943-798X
Wake Forest University · USMedical College of Wisconsin · USUniversity College London · GBUniversity of North Carolina at Chapel Hill · USJackson Laboratory · US

Funding

Statistical Modeling of Multiparental and Genetic Reference PopulationsR35GM127000 · NIGMS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI William Valdar · 2018 to 2026
$3.1M
Systems genetics to identify neuronal genes for diet-induced obesityR01DK120667 · NIDDK · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI SOLBERG WOODS, LEAH CATHERINE · 2019 to 2023
$2.9M
Systems Genetics of Adiposity Traits in Outbred RatsR01DK106386 · NIDDK · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI SOLBERG WOODS, LEAH CATHERINE · 2015 to 2018
$2.6M
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
Identifying Genetic Drivers of Expression Networks Causing Insulin ResistanceR01DK118243 · NIDDK · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI DAS, SWAPAN KUMAR · 2018 to 2020
$1.1M
NIDDK NIH HHS R01 DK088975NIDDK NIH HHS R01 DK106386NIDDK NIH HHS R01 DK118243NIDDK NIH HHS R01 DK120667NIGMS NIH HHS R35 GM127000
6 · The paper itself

Abstract

Despite the successes of human genome-wide association studies, the causal genes underlying most metabolic traits remain unclear. We used outbred heterogeneous stock (HS) rats, coupled with expression data and mediation analysis, to identify quantitative trait loci (QTLs) and candidate gene mediators for adiposity, glucose tolerance, serum lipids, and other metabolic traits. Physiological traits were measured in 1,519 male HS rats, with liver and adipose transcriptomes measured in >410 rats. Genotypes were imputed from low-coverage whole-genome sequencing. Linear mixed models were used to detect physiological and expression QTLs (pQTLs and eQTLs, respectively), using both single nucleotide polymorphism (SNP)- and haplotype-based models for pQTL mapping. Genes with cis-eQTLs that overlapped pQTLs were assessed as causal candidates through mediation analysis. We identified 14 SNP-based pQTLs and 19 haplotype-based pQTLs, of which 10 were in common. Using mediation, we identified the following genes as candidate mediators of pQTLs: Grk5 for fat pad weight and serum triglyceride pQTLs on Chr1, Krtcap3 for fat pad weight and serum triglyceride pQTLs on Chr6, Ilrun for a fat pad weight pQTL on Chr20, and Rfx6 for a whole pancreatic insulin content pQTL on Chr20. Furthermore, we verified Grk5 and Ktrcap3 using gene knockdown/out models, thereby shedding light on novel regulators of obesity.

Indexed as

AdiposityInsulinsAnimalsGenome-Wide Association StudyHumansLipidsMaleObesityPolymorphism, Single NucleotideRatsTriglyceridesInsulinsLipidsTriglycerides

Identifiers

PMID36219827
PMCPMC9797320
OpenAlexW4304474526

What Socratic 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 Socratic graph.