Evidence map›Paper›PMID 29479840›Full record

ArticlePhysiological reports2018

Replication and discovery of musculoskeletal QTLs in LG/J and SM/J advanced intercross lines.

Ana I Hernandez Cordero, Peter Carbonetto, Gioia Riboni Verri, Jennifer S Gregory, David J Vandenbergh, Joseph P Gyekis, David A Blizard, Arimantas Lionikas

Open access · goldAbstract read
In one paragraph

Article in Physiological reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.8field-weighted citation impact, top 14% 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

8 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. GWAS in Mice Maps Susceptibility to HIV-Associated Nephropathy to theJournal of the American Society of Nephrology : JASN · 2022
    Article
  3. Article
  4. Environment-Wide Association Study (EAutism research : official journal of the International Society for Autism Research · 2020
    Article
  5. Article
  6. Article
  7. Using Heterogeneous Stocks for Fine-Mapping Genetically Complex Traits.Methods in molecular biology (Clifton, N.J.) · 2019
    Review
  8. 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

8 authors at 3 institutions in 2 countries.

Ana I Hernandez CorderoSchool of Medicine, Medical Sciences and Nutrition, University of Aberdeen, Aberdeen, United Kingdom.
Peter CarbonettoResearch Computing Center and Department of Human Genetics, University of Chicago, Chicago, Illinois.
Gioia Riboni VerriSchool of Medicine, Medical Sciences and Nutrition, University of Aberdeen, Aberdeen, United Kingdom.
Jennifer S GregorySchool of Medicine, Medical Sciences and Nutrition, University of Aberdeen, Aberdeen, United Kingdom.
David J VandenberghDepartment of Biobehavioral Health, The Penn State Institute for the Neurosciences, Molecular and Cellular Integrative Biosciences Program, The Pennsylvania State University, University Park, Pennsylvania.
Joseph P GyekisDepartment of Biobehavioral Health, The Pennsylvania State University, University Park, Pennsylvania.
David A BlizardDepartment of Biobehavioral Health, The Penn State Institute for the Neurosciences, Molecular and Cellular Integrative Biosciences Program, The Pennsylvania State University, University Park, Pennsylvania.
Arimantas LionikasSchool of Medicine, Medical Sciences and Nutrition, University of Aberdeen, Aberdeen, United Kingdom.
University of Aberdeen · GBPennsylvania State University · USUniversity of Chicago · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The genetics underlying variation in health-related musculoskeletal phenotypes can be investigated in a mouse model. Quantitative trait loci (QTLs) affecting musculoskeletal traits in the LG/J and SM/J strain lineage remain to be refined and corroborated. The aim of this study was to map muscle and bone traits in males (n = 506) of the 50th filial generation of advanced intercross lines (LG/SM AIL) derived from the two strains. Genetic contribution to variation in all musculoskeletal traits was confirmed; the SNP heritability of muscle mass ranged between 0.46 and 0.56; and the SNP heritability of tibia length was 0.40. We used two analytical software, GEMMA and QTLRel, to map the underlying QTLs. GEMMA required substantially less computation and recovered all the QTLs identified by QTLRel. Seven significant QTLs were identified for muscle weight (Chr 1, 7, 11, 12, 13, 15, and 16), and two for tibia length, (Chr 1 and 13). Each QTL explained 4-5% of phenotypic variation. One muscle and both bone loci replicated previous findings; the remaining six were novel. Positional candidates for the replicated QTLs were prioritized based on in silico analyses and gene expression in muscle tissue. In summary, we replicated existing QTLs and identified novel QTLs affecting muscle weight, and replicated bone length QTLs in LG/SM AIL males. Heritability estimates substantially exceed the cumulative effect of the QTLs, hence a richer genetic architecture contributing to muscle and bone variability could be uncovered with a larger sample size.

Indexed as

Hybridization, GeneticQuantitative Trait LociAnimalsFemaleInbreedingMaleMiceMuscle, SkeletalQuantitative Trait, HeritableBonegene expressionQTLSkeletal muscle

Identifiers

PMID29479840
PMCPMC6430048
OpenAlexW2790687294

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.