Evidence map›Paper›PMID 20959497›Full record

ArticlePhysiological genomics2011

Distinct genetic regions modify specific muscle groups in muscular dystrophy.

Kayleigh A Swaggart, Ahlke Heydemann, Abraham A Palmer, Elizabeth M McNally

Registry-linked trialAbstract read
In one paragraph

Article in Physiological genomics, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT00138931 (Genetic Studies of Patients and Their Families With Inherited Cardiovascular and Neuromuscular Diseases.), which is not on this map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
1.9field-weighted citation impact, top 15% 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.

NCT00138931 recruitingnot on this map

Genetic Studies of Patients and Their Families With Inherited Cardiovascular and Neuromuscular Diseases.

TypeobservationalSponsorUniversity of ChicagoRan1996 to 2030Enrolled2,000ConditionsCardiomyopathy, Arrhythmia, Muscular DystrophyArmsBlood draw (genetic testing)
3 · Its place in the literature

Who cites it

20 citing papers in PubMed, 29 citations in OpenAlex.

  1. Article
  2. Article
  3. Non-Glycanated Biglycan and LTBP4: Leveraging the extracellular matrix for Duchenne Muscular Dystrophy therapeutics.Matrix biology : journal of the International Society for Matrix Biology · 2018
    Review
  4. Article
  5. Article
  6. Article
  7. Review
  8. Targeting latent TGFβ release in muscular dystrophy.Science translational medicine · 2014
    Article
  9. Article
  10. Article
  11. Annexin A6 modifies muscular dystrophy by mediating sarcolemmal repair.Proceedings of the National Academy of Sciences of the United States of America · 2014
    Article
  12. Review
  13. Reduced IGF signaling prevents muscle cell death in a Caenorhabditis elegans model of muscular dystrophy.Proceedings of the National Academy of Sciences of the United States of America · 2013
    Article
  14. Review
  15. Article
  16. Genetic mutations and mechanisms in dilated cardiomyopathy.The Journal of clinical investigation · 2013
    Review
  17. Article
  18. Article
  19. Article
  20. 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

4 authors at 1 institution in 1 country.

Kayleigh A SwaggartDepartment of Human Genetics, University of Chicago, Chicago, Illinois, USA.
Ahlke Heydemann
Abraham A Palmer
Elizabeth M McNally
University of Chicago · US

Funding

MULTIDISCIPLINARY CARDIAC SCIENCEST32HL007381 · NHLBI · UNIVERSITY OF CHICAGO · PI JEANNE M DECARA, Yoav Gilad · 1985 to 2026
$12.5M
SARCOGLYCAN IN MYOPATHY AND MUSCLE MEMBRANE STABILITYR01HL061322 · NHLBI · UNIVERSITY OF CHICAGO · PI MCNALLY, ELIZABETH M · 1999 to 2022
$7.5M
Regulation of TGF - (beta) pathways in muscular dystrophy fibrosisP01NS072027 · NINDS · UNIVERSITY OF CHICAGO · PI MCNALLY, ELIZABETH M · 2011 to 2015
$6.2M
Systems Genetic Analysis of Methamphetamine's Motivational Effects in a Mouse AILR01DA021336 · NIDA · UNIVERSITY OF CHICAGO · PI PALMER, ABRAHAM A · 2006 to 2015
$4.0M
NHLBI NIH HHS R01-HL-61322NHLBI NIH HHS T32-HL-07381NIDA NIH HHS R01 DA021336NINDS NIH HHS P01 NS072027
6 · The paper itself

Abstract

Phenotypic expression in the muscular dystrophies is variable, even with the identical mutation, providing strong evidence that genetic modifiers influence outcome. To identify genetic modifier loci, we used quantitative trait locus mapping in two differentially affected mouse strains with muscular dystrophy. Using the Sgcg model of limb girdle muscular dystrophy that lacks the dystrophin-associated protein γ-sarcoglycan, we evaluated chromosomal regions that segregated with two distinct quantifiable characteristics of muscular dystrophy, membrane permeability and fibrosis. We previously identified a single major locus on murine chromosome 7 that influences both traits of membrane permeability and fibrosis in the quadriceps muscle. Using a larger cohort, we now found that this same interval strongly associated with both traits in all limb skeletal muscle groups studied, including the gastrocnemius/soleus, gluteus/hamstring, and triceps muscles. In contrast, the muscles of the trunk were modified by distinct genetic loci, possibly reflecting the embryological origins and physiological stressors unique to these muscle groups. A locus on chromosome 18 was identified that modified membrane permeability of the abdominal muscles, and a locus on chromosome 3 was found that regulated diaphragm and abdominal muscle fibrosis. Fibrosis in the heart associated with a region on chromosome 9 and likely reflects differential function between cardiac and skeletal muscle. These data underscore the complexity of inheritance and penetrance of single-gene disorders.

Indexed as

Abdominal MusclesAnimalsExonsFemaleHydroxyprolineMiceMuscular DystrophiesMyocardiumQuadriceps MuscleQuantitative Trait LociHydroxyproline

Identifiers

PMID20959497
PMCPMC3026347
OpenAlexW2115916072

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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.