Evidence map›Paper›PMID 20149241›Full record

ArticleBMC genomics2010

Mapping main, epistatic and sex-specific QTL for body composition in a chicken population divergently selected for low or high growth rate.

Georgina A Ankra-Badu, Daniel Shriner, Elisabeth Le Bihan-Duval, Sandrine Mignon-Grasteau, Frédérique Pitel, Catherine Beaumont, Michel J Duclos, Jean Simon, Tom E Porter, Alain Vignal and 4 more

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
3.0field-weighted citation impact, top 8% 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

20 citing papers in PubMed, 47 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  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

14 authors at 7 institutions in 2 countries.

Georgina A Ankra-BaduDepartment of Poultry Science/Institute of Bioinformatics, University of Georgia, Athens, GA 30602, USA.
Daniel Shriner
Elisabeth Le Bihan-Duval
Sandrine Mignon-Grasteau
Frédérique Pitel
Catherine Beaumont
Michel J Duclos
Jean Simon
Tom E Porter
Alain Vignal
Larry A Cogburn
David B Allison
Nengjun Yi
Samuel E Aggrey
Biologie des Oiseaux et Aviculture · FRUniversity of Alabama at Birmingham · USLaboratoire de Génétique Cellulaire · FRNational Institutes of Health · USUniversity of Delaware · USUniversity of Georgia · USUniversity of Maryland, College Park · US

Funding

Why is the prevalence of obesity so high in U.S. Southern States? Regional predictors of BMI and obesity treatment response.P30DK056336 · NIDDK · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI James O Hill · 2000 to 2026
$31.9M
UAB Statistical Genetics Post-Doctoral Training ProgramT32HL072757 · NHLBI · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI TIWARI, HEMANT K. · 2003 to 2016
$3.8M
Bayesian Methods for Mapping Complex Epistatic GenesR01GM069430 · NIGMS · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI YI, NENGJUN · 2005 to 2013
$2.3M
Genetic Architecture of Voluntary Exercise in MiceR01DK076050 · NIDDK · UNIV OF NORTH CAROLINA CHAPEL HILL · PI POMP, DANIEL · 2007 to 2010
$966k
NHLBI NIH HHS HL072757NIDDK NIH HHS DK056336NIDDK NIH HHS DK076050NIGMS NIH HHS GM069430
6 · The paper itself

Abstract

backgroundDelineating the genetic basis of body composition is important to agriculture and medicine. In addition, the incorporation of gene-gene interactions in the statistical model provides further insight into the genetic factors that underlie body composition traits. We used Bayesian model selection to comprehensively map main, epistatic and sex-specific QTL in an F2 reciprocal intercross between two chicken lines divergently selected for high or low growth rate.

resultsWe identified 17 QTL with main effects across 13 chromosomes and several sex-specific and sex-antagonistic QTL for breast meat yield, thigh + drumstick yield and abdominal fatness. Different sets of QTL were found for both breast muscles [Pectoralis (P) major and P. minor], which suggests that they could be controlled by different regulatory mechanisms. Significant interactions of QTL by sex allowed detection of sex-specific and sex-antagonistic QTL for body composition and abdominal fat. We found several female-specific P. major QTL and sex-antagonistic P. minor and abdominal fatness QTL. Also, several QTL on different chromosomes interact with each other to affect body composition and abdominal fatness.

conclusionsThe detection of main effects, epistasis and sex-dimorphic QTL suggest complex genetic regulation of somatic growth. An understanding of such regulatory mechanisms is key to mapping specific genes that underlie QTL controlling somatic growth in an avian model.

Indexed as

Chromosome MappingQuantitative Trait LociAbdominal FatAnimalsBayes TheoremBody CompositionChickensCrosses, GeneticEpistasis, GeneticFemaleGenotypeMaleMeatSequence Analysis, DNASex Characteristics

Identifiers

PMID20149241
PMCPMC2830984
OpenAlexW2052604069

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.