Evidence map›Paper›PMID 28087756›Full record

ArticlePhysiological genomics2017

Fine-mapping of genes determining extrafusal fiber properties in murine soleus muscle.

A M Carroll, R Cheng, E S R Collie-Duguid, C Meharg, M E Scholz, S Fiering, J L Fields, A A Palmer, A Lionikas

Open access · greenAbstract read
In one paragraph

Article in Physiological genomics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.2field-weighted citation impact, top 22% 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

7 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Using Heterogeneous Stocks for Fine-Mapping Genetically Complex Traits.Methods in molecular biology (Clifton, N.J.) · 2019
    Review
  5. Article
  6. 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

9 authors at 6 institutions in 4 countries.

A M CarrollSchool of Medicine, Medical Sciences and Nutrition, University of Aberdeen, Foresterhill Aberdeen, United Kingdom.
R ChengResearch School of Biology, Australian National University, Acton, Australia.
E S R Collie-DuguidSchool of Medicine, Medical Sciences and Nutrition, University of Aberdeen, Foresterhill Aberdeen, United Kingdom.
C MehargInstitute for Global Food Security, Queen's University Belfast, Belfast, United Kingdom.
M E ScholzSchool of Medicine, Medical Sciences and Nutrition, University of Aberdeen, Foresterhill Aberdeen, United Kingdom.
S FieringDepartment of Microbiology/Immunology, Geisel School of Medicine at Dartmouth, Hanover, New Hampshire; and.
J L FieldsDepartment of Microbiology/Immunology, Geisel School of Medicine at Dartmouth, Hanover, New Hampshire; and.
A A PalmerDepartment of Psychiatry, University of California San Diego, La Jolla, California.
A LionikasSchool of Medicine, Medical Sciences and Nutrition, University of Aberdeen, Foresterhill Aberdeen, United Kingdom; a.lionikas@abdn.ac.uk.
University of Aberdeen · GBDartmouth College · USAustralian National University · AUPlant & Food Research · NZQueen's University Belfast · GBUniversity of California San Diego · US

Funding

Translational Engineering in Cancer (TEC)P30CA023108 · NCI · DARTMOUTH COLLEGE · PI Fred W Kolling IV · 1985 to 2026
$91.3M
Striatal Microcircuit Dynamics of Ethanol HabitsR01AA024845 · NIAAA · UNIVERSITY OF MARYLAND BALTIMORE · PI BRIAN NEIL MATHUR · 2016 to 2026
$3.9M
Genetic Variation of Muscle MassR01AR056280 · NIAMS · PENNSYLVANIA STATE UNIVERSITY, THE · PI BLIZARD, DAVID ARTHUR · 2009 to 2013
$1.3M
Novel Methods to Map Stimulant QTLs in Advanced Intercross LinesR21DA024845 · NIDA · UNIVERSITY OF CHICAGO · PI PALMER, ABRAHAM A · 2008 to 2009
$422k
NCI NIH HHS P30 CA023108NIAAA NIH HHS R01 AA024845NIAMS NIH HHS R01 AR056280NIDA NIH HHS R21 DA024845
6 · The paper itself

Abstract

Muscle fiber cross-sectional area (CSA) and proportion of different fiber types are important determinants of muscle function and overall metabolism. Genetic variation plays a substantial role in phenotypic variation of these traits; however, the underlying genes remain poorly understood. This study aimed to map quantitative trait loci (QTL) affecting differences in soleus muscle fiber traits between the LG/J and SM/J mouse strains. Fiber number, CSA, and proportion of oxidative type I fibers were assessed in the soleus of 334 genotyped female and male mice of the F

Indexed as

Physical Chromosome MappingAnimalsChromosomes, MammalianCrosses, GeneticFemaleGene Expression RegulationGenetic Association StudiesGenomicsMaleMiceMuscle Fibers, SkeletalMuscle, SkeletalPhenotypeQuantitative Trait LociSex Characteristicsgenetic variationmuscle fiber typesskeletal muscle

Identifiers

PMID28087756
PMCPMC5374456
OpenAlexW2578454048

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.